Agenda
Agenda - Overview
Note: Please scroll down below for detailed information on session topics and presentation schedule .
Also, the links to the papers will become accessible from the day of the conference.
Venue Map
Floor -2
Floor 3
Detailed Agenda
Tuesday, July 5, 2016 — Students Welcome, Registration and Welcoming Reception
Wednesday, July 6, 2016 — Opening Remarks, Tutorials, Technical Paper Sessions, Symposium Lunch, Panel Sessions and Welcoming Reception
Thursday, July 7, 2016 — Technical Paper Sessions, Panel Sessions, Poster Session, Plenary Conferences, Banquet Dinner
Friday, July 8, 2016 — Technical Paper Sessions, Panel Sessions, Closing Remarks
| Tuesday, July 5, 2016 | Location | |
|---|---|---|
| 17:00–19:00 | Registration | Third floor foyer |
| 17:45–19:00 | Students Meet and Greet | Room C3 - floor 3 |
| 19:00–21:00 | Welcoming Reception with EWSHM | Exhibition Hall - floor -2 |
| Wednesday, July 6, 2016 | Location | |
| 8:00–17:00 | Registration | Third floor foyer |
| 8:15–8:30 | Opening Remarks | Room B3 |
| 8:30–10:30 | Tutorial: Ensembles of Models for Prognostics and Health Management - Prof. Piero Baraldi, Politecnico di Milano, Italy | Room B3 |
| 8:30–10:30 | Tutorial: Introduction to Integrated Vehicle Health Monitoring - Prof. Ian K. Jennions, IVHM Centre, Cranfield, UK | Room C3 |
| 8:30–10:30 | Tutorial: Multivariate Post-processing of Big Data in Prognostics and Health Management: Theory and Use Cases - Dr. Gueorgui Mihaylov, Polytechnic University of Turin, Italy | Room B Terrace - Part A |
| 10:30–11:00 | Networking Break with EWSHM | Exhibition Hall - floor -2 |
| 11:00–12:30 | Session 1A: PHM Design - I Session Chair: Manuel Esperon–Cranfield University, UK |
Room B3 |
| Modeling of Complex Redundancy in Technical Systems with Bayesian Networks Thorben Kaul1, Tobias Meyer2, Walter Sextro3– 1,2,3 University of Paderborn, Faculty of Mechanical Engineering, Mechatronics and Dynamics, 33098 Paderborn, Germany |
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| Twin-Control: A New Concept Towards Machine Tool Health Management Mikel Armendia1, Flavien Peysson2, Dirk Euhus3– 1 IK4-TEKNIKER, Eibar, Basque Country, 20600, Spain 2 PREDICT SAS, Nancy, 54519, France 3 ARTIS GmbH, Egestorf, 21272, Germany |
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| Model Based Approach to Zonal Safety Analysis Rachael Henderson1, Ghulam Hussain2, Jacek Stecki3– 1,2 The University of Melbourne, Parkville - 3010, VIC, Australia 3 Chief Technology Officer, PHM Technology P/L |
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| 11:00–12:30 | Session 1B: Data-driven & Model-based Approaches for Prognostics - I Session Chair: Emmanuel Ramasso–FEMTO-ST institute, France |
Room C3 |
| A Comparison of Data-driven Techniques for Engine Bleed Valve Prognostics using Aircraft-derived Fault Messages Marcia Baptista1, Ivo P. De Medeiros2, Joao P. Malere3, Helmut Prendinger4, Cairo L. Nascimiento5, Elsa Henriques6– 1,6 Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, 1049-001, Portugal 2,3 Technol. Dev. Dept., Embraer SA, Sao Jose dos Campos, Brazil 4 National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan 5 Instituto Tecnologico de Aeronautica (ITA), 12228-900, So Jose dos Campos-SP, Brazil |
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| Echo State Network for the Remaining Useful Life Prediction of a Turbofan Engine Marco Rigamonti1, Piero Baraldi2, Enrico Zio3, Indranil Roychoudhury4, Kai Goebel5, Scott Poll6– 1,2,3 Energy Department, Politecnico di Milano, Via Ponzio 34/3, Milan, 20133, Italy 4 Stinger Ghaffarian Technologies, Inc., NASA Ames Research Center, Moffett Field, California 94035 5,6 NASA Ames Research Center, Moffett Field, California 94035 |
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| Implementation Of A Bayesian Linear Regression Framework For Nuclear Prognostics Omer Panni1, Graeme West2, Victoria Catterson3, Stephen McArthur4, Dongfeng Shi5, Ieuan Mogridge6– 1,2,3,4 University of Strathclyde, Glasgow, G1 1XW, United Kingdom 5 Rolls-Royce Control and Data Services Ltd, Derby, DE24 8BJ, United Kingdom 6 EDF Energy, Gloucester, GL4 3RS, United Kingdom |
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| 11:00–12:30 | Session 1C: Condition & Health Monitoring in PHM - I Session Chair: Aitor Arnaiz–IK4-Tekniker, Spain |
Room B Terrace - Part A |
| Condition Monitoring of Bearing Damage in Electromechanical Drive Systems by Using Motor Current Signals of Electric Motors: A Benchmark Data Set for Data-Driven Classification Christian Lessmeier1, James Kuria Kimotho2, Detmar Zimmer3, Walter Sextro4– 1,2,3,4 Paderborn University, Pohlweg 47 – 49, 33098 Paderborn, Germany |
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| Machine Learning Strategy for Fault Classification Using Only Nominal Data Gianluca Nicchiotti1, Luc Fromaigeat2, Lianel Etienne3– 1,2 Meggitt Sensing Systems, CH-1701 Fribourg, Switzerland 3 Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland |
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| Condition Based Reliability, Availability, Maintainability, and Safety (CB-RAMS) model: Improving RAMS predictions by combining condition-monitoring (CM) data with RAMS calculations Dan M. Shalev1, Joseph Tiran2, David Katoshevski3, Jacob Bortman4– 1,2,3,4 Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel |
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| 11:00–12:30 | Session 1D: PHM industrial applications - I Session Chair: Jean-Baptiste Léger–Predict, France |
Room B Terrace - Part B |
| Improved Railway Track Irregularities Classification by a Model Inversion Approach R Schenkendorf1, B Dutschka2, K Lüddeckea3, J.C. Groos4– 1,2,3,4 Institute of Transportation Systems, German Aerospace Center (DLR e.V.) Lilienthalplatz 7, 38108 Braunschweig, Germany |
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| The Backlash Gap size Estimation for Electromechanical Actuator in an Operational Behavior Badr Mansouri1, Jerome Piaton2, Alexandre Guyamier3– 1,2,3 SAGEM Defense & Security (SAFRAN Group), Avionics Division, 100 Av. de Paris, Massy Cedex 91344, France |
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| Spall size estimation in bearing races based on vibration analysis G. Kogan1, E. Madar2, Renata Klein3, Jacob Bortman4– 1,2,4 Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva 8410501, Israel 3 R.K. Diagnostics, P.O. Box 101, Gilon, D.N. Misgav 20103, Israel |
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| 12:30–14:00 | Symposium Lunch | Ambigu (second floor) |
| 14:00–16:00 | Session 2A: PHM Design - II Session Chair: Bin Zhang–University South Carolina, USA |
Room B3 |
| Benefits Analysis of Prognostics & Health Monitoring to Aircraft Maintenance using System Dynamics Yameen M. Hussain1, Stephen Burrow2, Leigh Henson3, Patrick Keogh4– 1,2 University of Bristol, Bristol, BS8 1TR, United Kingdom 3 Stirling Dynamics Ltd, Bristol, BS8 4HG, United Kingdom 4 University of Bath, Bath, BA2 7AY, United Kingdom |
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| Influence of Environmental Loading Factors on System Design Paddy Conroy1, Jacek Stecki2, Andrew Thorn3– 1,2,3 PHM Technology Pty. Ltd., Melbourne, Victoria, 3068, Australia |
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| Towards a model-based condition assessment of complex marine machinery systems using systems engineering Alexandros S. Zymaris1, Øystein Asheim Alnes2, Knut Erik Knutsen3, Nikolaos M.P. Kakalis4– 1,4 DNV-GL Maritime R&D, Piraeus, 18545, Greece 2,3 DNV-GL Strategic Research & Innovation, Høvik, 1363, Norway |
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| Indexation of Bench Test and Flight Data Cynthia Faure1, Jérôme Lacaille2, Jean-Marc Bardet3, Madalina Olteanu4– 1,3,4 SAMM (EA 4543), Paris 1 Pantheón Sorbonne University, Paris, 75634, France 2 Safran Group, Moissy-Cramayel, 77550, France |
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| 14:00–16:00 | Session 2B: Data-driven & Model-based Approaches for Prognostics - II Session Chair: Piero Baraldi–Politecnico di Milano, Italy |
Room C3 |
| Prediction Capability Assessment of Data-Driven Prognostic Methods for Railway Applications Francesco Di Maio1, Pietro Turati2, Enrico Zio3– 1,3 Energy Department, Politecnico di Milano, Via La Masa 34, Milano, 20156, Italy 2,3 Université Paris Saclay, Grande Voie des Vignes, 92290 Chatenay-Malabry, France 3 Aramis Srl, Via Pergolesi 5, Milano, Italy |
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| Anomaly Detection and Prognosis for Primary Flight Control EMAs Andrea De Martin1, Giovanni Jacazio2, George Vachtsevanos3– 1,2 Politecnico di Torino, Torino, 10129, Italy 3 Georgia Institute of Technology, Atlanta, GA, 30332, USA |
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| Variable selection for heavy-duty vehicle battery failure prognostics using random survival forests Sergii Voronov1, Daniel Jung2, Erik Frisk3– 1,2,3 Department of Electrical Engineering, Linköping University, Sweden |
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| Integration of Hierarchical Classification to Improve the Prognostic Results of Fuzzy Similarity Jie Liu1, Enrico Zio2– 1 Chair on System Science and the Energetic Challenge, EDF Foundation, CentraleSupélec, 92295, Châtenay-Malabry, France 2 Chair on System Science and the Energetic Challenge, EDF Foundation, CentraleSupélec, 92295, Paris, Châtenay- Malabry; and Energy Departement, Politecnico di Milano, Milano, Italy |
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| 14:00–16:00 | Session 2C: Condition & Health Monitoring in PHM - II Session Chair: Ravi Rajamani–Meggitt, UK |
Room B Terrace - Part A |
| Bearing health monitoring using optical fiber sensors Shlomi Konforty1, Michael Khmelnitsky2, Iddo Kressel3, Renata Klein4, Moshe Tur5, Jacob Bortman6– 1,2,6 Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva 84105, Israel 3 Israel Aerospace Industries, Israel 4 R.K. Diagnostics, Gilon, P.O.B. 101, D.N. Misgav 20103, Israel 5 School of Electrical Engineering, Tel Aviv University, Ramat Aviv 69978, Israel |
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| Maximal information-based nonparametric exploration of condition monitoring data Yang Hu1, Thomas Palmé2, Olga Fink3– 1,3 Zurich University of Applied Sciences, Rosenstr. 3, Winterthur, 8401, Switzerland 2 General Electric (GE) Switzerland, Brown Boveri Str. 7, Baden, 5401, Switzerland |
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| Development of integrated functional monitoring and warnings system for Saab 39 Gripen C. Birgersdotter1, T. Fransson2– 1,2 Saab Aeronautics, Linköping, S-581 88, Sweden |
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| A Methodology for Fast Deployment of Condition Monitoring and Generic Services Platform Technological Design Santiago Fernández1, Christophe Mozzati2, Aitor Arnaiz3– 1,3 Intelligent Information Systems, IK4-TEKNIKER, Eibar, 20600, Spain 2 PREDICT, Avenue de la Forêt de Haye 19, CS 10508, 54519 Vandoeuvre lès Nancy, France |
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| 14:00–16:00 | Session 2D: Fault Detection & Diagnostics in PHM - I Session Chair: Ian Jennions–Cranfield University, UK |
Room B Terrace - Part B |
| Qualitative Fault Isolation of Hybrid Systems: A Structural Model Decomposition-Based Approach Anibal Bregon1, Matthew Daigle2, Indranil Roychoudhury3– 1 Department of Computer Science, University of Valladolid, Valladolid, Spain 2 NASA Ames Research Center, Moffett Field, California, 94035, USA 3 Stinger Ghaffarian Technologies Inc., NASA Ames Research Center, Moffett Field, California, 94035, USA |
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| Application of Mahalanobis Distance for Fault Detection of Diesel Generator Sets under Load Testing Samyak Munot1, Vivek Mishra2– 1 Amity University, Noida, Uttar Pradesh, 201313, India 2 Bhabha Atomic Research Centre, Mumbai, Maharashtra, 400085, India |
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| Fault Detection on Large Slow Bearings Eric Bechhoefer1, Rune Schlanbusch2, Tor Inge Waag3– 1 GPMS Inc, Cornwall, VT, USA 2 Teknova AS, Kristiansand, Norway 3 MHWirth AS, Kristiansand, Norway |
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| A Framework for Aircraft Maintenance Strategy including CBM Partha Pratim Adhikari1, Matthias Buderath2– 1 Airbus India, Bangalore, 560 048, India 2 Airbus Defence and Space, Rechliner Straße, 85077 – Manching, Germany |
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| 16:00–16:30 | Networking Break with EWSHM | Exhibition Hall - floor -2 |
| 16:30–18:30 | Panel Session: PHM for Actuators | Room B3 |
| 16:30–18:30 | Session 3B: Data-driven & Model-based Approaches for Prognostics - III Session Chair: Ian Jennions–Cranfield University, UK |
Room C3 |
| Predicting Air Compressor Failures with Echo State Networks Yuantao Fan1, Slawomir Nowaczyk2, Thorsteinn Rögnvaldsson3, Eric Aislan Antonelo4– 1,2,3 Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Sweden 4 Department of Automation and Systems, Federal University of Santa Catarina, Brazil |
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| Prognostics of connection defects in electronics modules Bey-Temsamani Abdellatif1, Stijn Helsen2, Maarten Witters3, Marc Engels4– 1,2,3,4 Flanders Make, Leuven, 3001, Belgium |
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| On partially supervised learning and inference in dynamic Bayesian networks for prognostics with uncertain factual evidence: Illustration with Markov switching models Pablo Juesas1, Emmanuel Ramasso2, Sébastien Drujont3, Vicent Placet4– 1,2,3,4 FEMTO-ST Institute, UBFC/UFC/ENSMM/CNRS/UTBM, 24 Rue Alain Savary, 25000 Besançon |
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| Improved product reliability quantification methodology making use of physics of failure based prognostics Abdellatif Bey-Temsamani1, Stijn Helsen2, Steven Kauffmann3, Anke Van Campen4– 1,2,3,4 Flanders Make, Leuven, 3001, Belgium |
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| 16:30–18:30 | Session 3C: Health Assessment in PHM Session Chair: Falk Hoffmann–Airbus Helicopters, Germany |
Room B Terrace - Part A |
| NARX Time Series Model for Remaining Useful Life Estimation of Gas Turbine Engines Oguz Bektas1, Jeffrey A. Jones2– 1,2 Warwick Manufacturing Group, University of Warwick, Coventry, UK |
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| Health Assessment of Railway Turnouts: A Case Study Allegra Alessi1, Piero La-Cascia2, Benjamin Lamoureux3, Michele Pugnaloni4, Pierre Dersin5– 1,3,5 ALSTOM, Saint-Ouen, 93482, France 2,4 ALSTOM, Bologna, 40120, Italy |
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| Prognosis of Structural and Materials Health in Heritage Conservation Roger M. Grove1– 1 Aerospace Non-Destructive Testing Laboratory, Faculty of Aerospace Engineering, Delft University of Technology, Delft 2600 GB, The Netherlands |
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| A Data-Driven Health Assessment Method for Electromechanical Actuation Systems Aitor Isturiz1, Jose Ignacio Aizpurua2, Fidel E. Hernández3, Aitzol Iturrospe4, Eñaut Muxika5, Javier Viñals6– 1,6 Structures and Mechanisms Department, SENER Engineering & Systems, Getxo, Spain 2 Institute for Energy and Environment, University of Strathclyde, Glasgow, United Kingdom 3 Department of Telecommunications & Telematics, Higher Polytechnic Institute Jose Antonio Echeverria, La Havana, Cuba 4,5 Electronics and Computing Department, Mondragon University, Arrasate, Spain |
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| 16:30–18:30 | Session 3D: Data-driven & Model-based Approaches for Diagnostics - I Session Chair: Anibal Bregon–University of Valladolid, Spain |
Room B Terrace - Part B |
| Beyond Condition-Monitoring: Comparing Diagnostic Events with Word Sequence Kernel for Train Delay Prediction Wan-Jui Lee1, David M.J. Tax2, Robert P.W. Duin3– 1,2,3 Pattern Recognition and Bioinformatics Group, Delft University of Technology, Delft, 2628CD, the Netherlands |
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| Equipment diagnostics based on comparison of past abnormal behaviors using a big data platform Carole Mai1, Robin Chevalier2– 1,2 EDF – R&D Recherche et Développement, Chatou Cedex, France |
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| Extended Kalman filter development in Lebesgue sampling framework with an application to Li-ion battery diagnosis and prognosis Wuzhao Yan1, Bin Zhang2– 1,2 Department of Electrical Engineering, University of South Carolina, Columbia, SC, 29208, USA |
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| Automatic tuning strategies for model-based diagnosis methods applied to a rocket engine demonstrator A. Iannetti1, J. Marzat2, H. Piet Lahanier3, G. Ordonneau4– 1 Launcher directorate, CNES, Paris, France 2,3,4 ONERA-The French Aerospace Lab -Palaiseau, France |
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| 19:00–22:00 | Visit to Guggenheim Museum with EWSHM | |
| Thursday, July 7, 2016 | Location | |
| 8:00–17:00 | Registration | Third floor foyer |
| 8:30–10:30 | Panel Session: Debate: Internet of Things Needs Standards! | Room B3 |
| 8:30–10:30 | Session 4B: Fault Detection & Diagnostics in PHM - II Session Chair: Piero Baraldi–Politecnico di Milano, Italy |
Room C3 |
| On discrete-time observer structures for fault estimation Dusan Krokavec1, Anna Filasová2, Pavol Liseinsky3– 1,2,3 Technical University of Kosice, Kosice, 042 00, Slovakia |
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| Proposal of a model-based fault identification genetic technique for more-electric aircraft flight control EM actuators Matteo D.L. Dalla Vedova1, Alfio Germanà2, Paolo Maggiore3– 1,2,3 Politecnico di Torino, Torino, 10129, Italy |
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| A Semi-Supervised Feature Selection Approach for Fault Diagnostics in Evolving Environments Yang Hu1, Piero Baraldi2, Francesco Di Maio3, Enrico Zio4– 1,2,3,4 Department of Energy, Politecnico di Milano, via la Masa 34, 20156, Milan, Italy |
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| A Bayesian paradigm for aircraft operational capability assessment and improved fault diagnostics Borja Sanz López1, Antonino Marco Siddiolo2, Partha Pratim Adhikari3, Matthias Buderath4– 1,2,4 Airbus Defence and Space, Rechliner Straße, 85077 – Manching, Germany 3 Airbus India, Bangalore, 560 048, India |
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| 8:30–10:30 | Session 4C: Vibration Analysis in PHM Session Chair: Giovanni Jacazio–Politecnico di Torino, Italy |
Room B Terrace |
| Diagnosis of Tidal Turbine Vibration Data through Deep Neural Networks Grant S. Galloway1, Victoria Catterson2, Thomas Fay3, Andrew Robb4, Craig Love5– 1,2 Institute for Energy and Environment, Dept. EEE, University of Strathclyde, Glasgow, G1 1XW, UK 3,4,5 Andritz Hydro Hammerfest, Glasgow, G52 4RU, UK |
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| Case Study: Vibration trip and post-event Analysis with Auto-Associative Neural Networks on a Large Steam Turbine Luc Fromaigeat1, Gianluca Nicchiotti2– 1,2 Meggitt Sensing Systems, Fribourg,CH-1701, Switzerland |
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| Fault diagnosis of rolling element bearings from current and vibration measurements Iñaki Bravo1, Urko Leturiondo2, Aitor Arnaiz3, Oscar Salgado4– 1,3 Intelligent Information Systems Unit, IK4-Tekniker, Eibar, Gipuzkoa, 20600, Spain 2,4 Control and Monitoring Area, IK4-Ikerlan Technology Research Centre, Arrasate-Mondragón, Gipuzkoa, 20500, Spain |
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| Vibration-based bearing fault detection on experimental wind turbine gearbox data Cédric Peeters1, Patrick Guillaume2, Jan Helsen3– 1,2,3 University of Brussels - VUB, Faculty of Mechanical Engineering, Elsene, Brussels, 1050, Belgium |
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| 10:30–11:00 | Networking Break with EWSHM | Exhibition Hall - floor -2 |
| 11:00–12:30 | Session 5A: Advanced Maintenance Technologies & Methodologies in PHM - I Session Chair: Benoît Iung–Lorraine University, France |
Room B3 |
| Towards the implementation of a predictive maintenance strategy: Lessons learned from a case study within a waste processing plant Owen Freeman Gebler1, Ben Hicks2, Andrew Harrison3, Matt Barker4, Pete Stirling5– 1,2,3 University of Bristol, Clifton, Bristol, BS8 1TR, UK 1,4,5 Stirling Dynamics, Clifton, Bristol, BS8 4HG, UK |
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| Maintenance optimization of an aircraft fleet considering IVHM based on cost and availability considering the use of additive manufacturing Adrian Cubillo1, Suresh Perinpanayagam2, Manuel Esperon-Miguez3– 1,2,3 Cranfield University- IVHM Centre, Cranfield, Bedfordshire, MK43 0AL, United Kingdom |
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| Condition-based Maintenance: Determination of optimal deterioration levels to perform preventive activities by using a multi- objective evolutionary algorithm Aitor Goti1, Ana I. Sanchez2– 1 University of Deusto, Faculty of Engineering, Bilbao, 48007, Spain 2 Universitat Politècnica de València, Department of Statistics and Operational Research, Valencia, 46022, Spain |
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| 11:00–12:30 | Session 5B: Data-driven & Model-based Approaches for Diagnostics - II Session Chair: Giovanni Jacazio–Politecnico di Torino, Italy |
Room C3 |
| Generic and configurable diagnosis function based on production data stored in Manufacturing Execution System N-H. Tran1, S. Henry2, E. Zamaï3– 1,3 G-SCOP Laboratory, CNRS UMR 5272, Grenoble-INP, France 2 DISP Laboratory, University Lyon 1, France |
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| Unsupervised learning approach for hybrid systems in changing environment Moussa Traore1, Sebastian Fischmeister2, S. Ramesh3– 1,2 University of Waterloo, Department of Electrical and Computer Engineering,Waterloo, ON, Canada, N2L-3G1 3 General Motors R&D 30500 Mound Road, Warren, MI 48092-2031 |
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| A Fault Detection and Isolation Software Framework for Repeatable and Comparable Experimentation Francisco Serdio1, Edwin Lughofer2– 1,2 Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz, Austria |
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| 11:00–12:30 | Session 5C: PHM for wind energy applications - I Session Chair: Ravi Rajamani–Meggitt, UK |
Room B Terrace |
| Prognosticating fault development rate in wind turbine generator bearings using local trend models Georgios Alexandros Skrimpas1, Jonel Palou2, Christian Walsted Sweeney3, Nenad Mijatovic4, Joachim Holboell5– 1,2,3 Brüel and Kjær Vibro, Nærum, 2850, Denmark 4,5 Technical University of Denmark, Lyngby, 2800, Denmark |
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| Diagnosis of bearing creep in wind turbine gearboxes Georgios Alexandros Skrimpas1, Zhenyan Liu2, Reynir Hilmisson3, Christian Walsted Sweeney4, Joachim Holboell5– 1,2,3,4 Brüel and Kjær Vibro, Nærum, 2850, Denmark 5 Technical University of Denmark, Lyngby, 2800, Denmark |
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| Dynamic Vector Model Applied to Wind Speed Prognosis for Eolic Generation Aramis Perez1, Francisco Cornejo2, Marcos Orchard3, Jorge Silva4– 1,2,3,4 Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, Universidad de Chile, Santiago, Chile |
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| 12:30–14:00 | Buffet Lunch and Live Poster Session | Second floor foyer |
| 14:00–16:00 | Panel Session: Asset and Operations Management: Maritime Industry | Room B3 |
| 14:00–16:00 | Session 6B: PHM Design - III Session Chair: Bin Zhang–University South Carolina, USA |
Room C3 |
| An Approach to Designing PHM Systems with Systems Engineering Thomas Dumargue1, Jean-Robert Pougeon2, Jean-Rémi Massé3– 1,2,3 Safran Aircraft Engines, Villaroche – 77550 Moissy-Cramayel, France |
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| Multi-physics based Simulations of a Shock Absorber Sub-system for PHM Krishna Lok S.1, Khazi M. Siddiqui2, Vanam Upendranath3– 1,2,3 CSIR-National Aerospace Laboratories, Bengaluru, Karnataka, 560017, India |
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| Towards Prognostics & Health Management in Lighting Applications D. Schenkelaars1, W.D. Van Driel2, M. Klompenhouwer3, I. Flinsenberg4, R. Duijve5– 1,2,3,4,5 Philips Lighting B.V., High Tech Campus 48, 5656AE Eindhoven Netherlands |
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| Health and Usage Monitoring System (HUMS) Strategy to enhance the Maintainability & Flight Safety in a Flight Control Electromechanical Actuator (EMA) Ricardo De Arriba1, Alberto Gallego2– 1 RMTS & ILS Engineer at CESA, Getafe, Madrid, 28906, Spain 2 RMTS & Product Support Engineering Manager at CESA, Getafe, Madrid, 28906, Spain |
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| 14:00–16:00 | Session 6C: Advanced Maintenance Technologies & Methodologies in PHM - II Session Chair: François Pérès–Toulouse University, France |
Room B Terrace |
| Implementing MIMOSA Standards Johannes Drever1, Helmut Naughton2, Michael Nagel3, Andreas Löhr4, Matthias Buderath5– 1,2,3,4 Linova Software GmbH, München, 80805, Germany 5 Airbus Defence and Space Deutschland GmbH, Manching, 85077, Germany |
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| Preventive maintenance optimization using a Hybrid Multi-Objective Evolutionary Algorithm Aitor Goti1, Ana I. Sanchez2– 1 University of Deusto, Faculty of Engineering, Bilbao, 48007, Spain 2 Universitat Politècnica de València, Department of Statistics and Operational Research, Valencia, 46022, Spain |
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| INDUSTRY 4.0: Predictive Intelligent Maintenance for Production Equipment Susana Ferreiro1, Egoitz Konde2, Santiago Fernández3, Agustín Prado4– 1,2,3 IK4-TEKNIKER, Intelligent Information Systems Unit, Eibar, Gipuzkoa, 20600, Spain 4 Goratu Maquinas Herramientas, Elboibar, Gipuzkoa, 20870, Spain |
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| Risk-based planning of O&M for wind turbines using physics of failure models Mihai Florian1, John Dalsgaard Sørensen2– 1,2 Department of Civil Engineering Aalborg University, Aalborg, 9000, Denmark |
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| 16:00–16:30 | Networking Break with EWSHM | Exhibition Hall - floor -2 |
| 16:30–18:00 | Keynote Presentations with EWSHM | Theatre Room A1 - floor -2 |
| 18:00–18:30 | Social event: Basque Country regional dances | Theatre Room A1 - floor -2 |
| 20:00–23:00 | PHME and EWSHM Gala Dinner and Awards | Jauregia restaurant - Euskalduna Conference Center |
| Friday, July 8, 2016 | Location | |
| 8:30–10:00 | Panel Session: PHM Applications and Fielded System Experience | Room B3 |
| 8:30–10:00 | Session 7B: Prognostics design Session Chair: Emmanuel Ramasso–FEMTO-ST institute, France |
Room C3 |
| A Collaborative Data Library for Testing Prognostic Models Joanna Sikorska1, Melinda Hodkiewicz2, Ashwin D'Cruz3, Lachlan Astfalck4, Adrian Keating5– 1 CASWA, 2/33 Horus Bend, Bibra Lake, Perth, Western Australia, 6163, Australia 2,3,4,5 The University of Western Australia, School of Mechanical and Chemical Engineering, Mail Bag M050, Western Australia, 6009, Australia |
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| ADEPS: A Methodology for Designing Prognostic Applications Jose Ignacio Aizpurua1, Victoria Catterson2– 1,2 Institute for Energy and Environment, University of Strathclyde, Glasgow, United Kingdom |
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| Optimal tuning of particle filtering random noise for monotonic degradation processes Matteo Corbetta1, Claudio Sbarufatti2, Marco Giglio3– 1,2,3 Politecnico di Milano, Dipartimento di Meccanica, via La Masa 1, Milan, 20156, Italy |
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| 8:30–10:00 | Session 7C: PHM industrial applications - II Session Chair: Manuel Esperon–Cranfield University, UK |
Room B Terrace |
| Application of a sensor selection approach in polymer electrolyte membrane (PEM) fuel cell diagnostics and prognostics Lei Mao1, Lisa Jackson2– 1,2 Loughborough University, Loughborough, LE11 3TU, United Kingdom |
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| Use of the Teager Kaiser Energy Operator to estimate machine speed Robert Randall1, Wade Smith2– 1,2 School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia |
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| Infrastructure Inspection with Full-Field UAS Jacob Miller1, Kerop Janoyan2, Erik Backus3, Daniel Valyou4, Marcias Martinez5– 1,2,3,4,5 Clarkson University, Potsdam, New York, 13699, United States of America |
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| 10:00–10:30 | Networking Break with EWSHM | Exhibition Hall - floor -2 |
| 10:30–12:30 | Panel Session: Automotive PHM and Cross Industry Collaboration | Room B3 |
| 10:30–12:30 | Session 8B: PHM for wind energy applications - II Session Chair: Aitor Arnaiz–IK4-Tekniker, Spain |
Room C3 |
| Analysis of two modeling approaches for fatigue estimation and remaining useful life predictions of wind turbine blades Hector Sanchez1, Shankar Sankararaman2, Teresa Escobet3, Vicenç Puig4, Susan Frost5, Kai Goebel6– 1,3,4 Automatic Control Department, Universitat Politècnica de Catalunya-BarcelonaTech, Rambla Sant Nebridi 22, Terrassa, Barcelona, 08222, Spain 2,5,6 NASA Ames Research Center, Prognostics Center of Excellence, MS 269-4, Moffett Field, CA 94035, United States of America |
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| Pattern Detection in Status Codes as an Optimization Tool in Offshore Wind Farms P. Doro1, L. Scerri2, Patrick Guillaume3, Jan Helsen4– 1,2 Colorado State University, Fort Collins CO, 80521, USA 3,4 Vrije Universiteit Brussel Ixelles, 1050, Belgium |
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| 12:30–12:45 | Final Remarks and Conference Closing | Room B Terrace |
| 12:45–13:00 | Box Lunch | Third floor foyer |
Last modified: 27-Jun-2016 01:23:30
Accepted Posters
- Railway Bridge Condition Monitoring and Fault Diagnostics - Matteo Vagnoli, John Andrews, and Rasa Remenyte-Prescott
- Methodology for Health Monitoring of Reinforced Concrete Structures Subjected to Seismic Excitations - Arouk Frigui, Olivier Dalverny, François Peres, Carmen Martin, Jean-Pierre Faye, and Sebastien Judenherc
- Model based Soft Sensing Techniques for Condition Monitoring of a Clutch-brake - Jon Olaizola, Aitzol Iturrospe, Jose Manuel Abete, Eneko Saenz de Argandoña, Mikel Mondragon, and Mikel Anasagasti
- Hybrid Models for Rotating Machinery Prognosis: Estimate Remaining Useful Life - Madhav Mishra and Matti Rantatalo
- Prognostic and Health Management System for Hydraulic Servo-actuators for Helicopters Main and Tail Rotor - Andrea Macaluso
- Health Assessment of Traction-motor Blowers regarding their Deformation Degradation - Alexandre Trilla, Pau Gratacòs, David Guinart, Allegra Alessi, and Benjamin Lamoureux
- Prognosis of Bearing Life based on Entropy Method and Comparison with other Method - Seok-Goo Kim, Dawn An, Nam Ho Kim, and Joo Ho Choi
- Probabilistic Method to Predict Remaining Usage Life of Aircraft Structures - Mudit Rastogi
- Narx Time Series Model for Remaining Useful Life Estimation of Gas Turbine Engines - Oguz Bektas and Jeffrey Jone
- The Application of Multifactorial Diagnostic Criteria for Early Vibration Diagnostics of Aircraft Gas Turbine Engine Bearings - Vladimir Adamenko and Igor Drokin
- IVHM Enhanced Clinical Trials - Antonin Hallier, Sergio Peña, José Rivas, Carlos de España, and Liu Xiaochang