PHM2020 Tentative List of papers in Technical Program

Last Updated: October 15, 2020
Note: All times indicated in US Eastern timezone

Tutorial topics:


Machine learning for the next generation of health informatics Nov. 10, 11am EST Dr Huiqi (Yvonne) Lu and Dr Samaneh Kouchaki, The Institute of Biomedical Engineering – Oxford University

From Raw Data to Prognosis: A Hands-on Tutorial Nov. 10, 2pm EST Dr Matteo Corbetta and George Gorospe, KBR @ NASA Ames Research Center


Paper# Title Author Lastname
Session 1: Monitoring and Diagnostics Methods
Session Chairs: Felipe Viana, Portia Banerjee
Wednesday, Nov 11 – 12:00 – 12:55
1133 Study of piston rod seal degradation in hydraulic test rig using acoustic emissions Shanbhag
1139 A Hybrid Modeling for Wind Turbine Main Bearing Fatigue with Uncertainty in Grease Observations Yucesan
1149 Hierarchical structural health monitoring of wind turbines based on an overview of mechanical damage Takeda
1162 Data-driven Residual Generation for Fault Detection and Isolation Khorasgani
1178 Similarity-based anomaly score for fleet-based condition monitoring Hendrickx
1184 A Domain Adaptation-based Approach for Structural Health Monitoring Ozdagli
1278 Real time model-based diagnosis enabled by hybrid modeling Matei
Session 2: Prognostics – Methods and Algorithms
Session Chairs: Chetan Kulkarni, George Gorospe
Wednesday, Nov 11 – 14:00 – 14:55
1155 The Noisy Multipath Parallel Hybrid Model for Remaining Useful Life Estimation (NMPM) AlDulaimi
1274 Contending Remaining Useful Life Algorithms Bechhoefer
1288 Development of Multivariate Failure Threshold with Quantifiable Operation Risks in Machine Prognostics Li
1299 Time-of-Failure Probability Mass Function Computation Using the First-Passage-Time Method Applied to Particle Filter-based Prognostics Jaramillo Montoya
1303 New Capacitive Thermal Age Tag for Predicting Remaining Thermal Life of Multiple Products Watkins
Session 3: Deep Learning Methods and Applications-I
Session Chairs: Neil Eklund, Turki Haj Mohamad
Wednesday, Nov 11 – 15:00 – 15:55
1147 A Novel Orbit-based CNN Model for Automatic Fault Identification of Rotating Machines Jiang
1148 Visualizing Corrosion in Automobiles using Generative Adversarial Networks Von Zuben
1169 Unsupervised Learning based Degradation Estimation and Abnormal Working Condition Detection for a Class of Anthropomorphic Robotic Hand Cortés Mac-Evoy
1182 Overcoming Adversarial Perturbations in Data-driven Prognostics Through Semantic Structural Context-driven Deep Learning Zhou
1196 A Study of Deep Neural Networks Layers Learning Mechanisms for Machine Health Monitoring Applications Alabsi
1289 Complementary Meta-Reinforcement Learning for Fault-Adaptive Control Ahmed
1296 A Relearning Approach to Reinforcement Learning for control of Smart Buildings Naug
Session 4: Electric and Autonomous Vehicles
Session Chairs: Matteo Corbeta, Foad Nazari
Thursday, Nov 12 – 12:00 – 12:55
1142 Fault Diagnosis for the Perception Software in Highly Automated Vehicles and Reference Generation Based on World Model Hu
1143 Vibration Analysis for Anomaly Detection in Unmanned Aircraft Bektash
1190 A decision-making framework for safe operations of unmanned aerial vehicles in urban scenarios Quiñones
1194 Risk Assessment of Obstacle Collision for UAVs under off-nominal conditions Banerjee
1199 Fourier Series Analysis for Prognostics: Generating a Sufficient Combinatorial Space of Predictions for Specified Flight Patterns Rigas
1281 An Evolutionary Algorithm for the Electric Vehicle Routing Problem with Battery Degradation and Limited Charge Stations Capacity Futalef
1297 Enhancing Fault Isolation for Health Monitoring of Electric Aircraft Propulsion by Embedding Failure Mode and Effect Analysis into Bayesian Networks Kulkarni
Session 5: Industrial IoT, Digital Twin, and Digital Thread
Session Chairs: Abhinav Saxena, Rupa Das
Thursday, Nov 12 – 14:00 – 14:55
1119 Pushing Distributed Vibration Analysis to the Edge with a Low-Resolution Companding Autoencoder: Industrial IoT for PHM Trilla
1197 Digital twin approach for intelligent operation planning and health management of mechanical systems Karve
1261 Life prediction for aircraft structure based on Bayesian inference: towards a digital twin ecosystem Wang
1273 Digital Fleet Management: An Scalable Cloud Framework based on Data-driven Models Viassolo
1282 Deep Learning based Optical Inspection with Centralized Analysis for High Volume Smart Manufacturing Li
1294 Domain Adaptation Digital Twin for Rolling Element Bearing Prognostics Liu
Session 6: Deep Learning Methods and Applications-II
Session Chairs: Bin Zhang, Foad Nazari
Thursday, Nov 12 – 15:00 – 15:55
1132 Octave-band Filtering for Convolutional Neural Network-based Diagnostics for Rotating Machinery Lee
1137 Domain Adversarial Transfer Learning for Generalized Tool Wear Prediction Russell
1186 Deep anomaly detection for industrial systems: a case study Xu
1205 Cross-Turbine Training of CNNs for SCADA-Based Fault Detection in Wind Turbines Goren Huber
1300 On the application of transfer learning in prognostics and health management Moradi
1319 An LSTM-Based Online Prediction Method for Building Electric Load During COVID-19 Tu
Session 7: PHM Applications – Aviation and Aerospace
Session Chairs: Jeff Bird, Guoyi Li
Friday, Nov 13 – 11:00 – 11:55
1134 Integrating Model-Based and Data-Driven Simulator for Health Management of a Reusable Rocket Engine Satoh
1135 Efficient Sensor Placement for Health Management of a Rocket Engine Using Monte Carlo Simulation Omata
1136 Automatic detection of rare observations in aircraft engines measurements during production tests using statistical models Mourer
1170 Aircraft Troubleshooting Optimization Using Case-based Reasoning and Decision Analysis Borba Evangelista
1245 Fatigue Life Prognosis of a Light Aircraft Landing Gear Leg Gerhardinger
1272 Towards Fault-Tolerant Strategy in Satellite Attitude Control Systems: A Review Henna
1290 Preliminary study towards the definition of a PHM framework for the hydraulic system of a fly-by-wire helicopter De Martin
Session 8: PHM Applications – Rotating Machinery
Session Chairs: Jose Celaya, Ramin Moradi
Friday, Nov 13 – 12:00 – 12:55
1131 Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models Forest
1167 WaveNet based Autoencoder Model: Vibration Analysis on Centrifugal Pump for Degradation Estimation. Yen
1193 On Modeling of Vibration and Crack Growth in a Rotor for Diagnostics and Prognostics Abbasi
1215 A low quiescent power wireless rotating machinery condition monitoring system Chen
1291 Support-Vector Machine Approach for Robust Fault Diagnosis of Electric Vehicle Permanent Magnet Synchronous Motor Zhao
1292 Prognosis of Wind Turbine Gearbox Bearing Failures using SCADA and Modeled Data Desai
1298 Similarity-based Feature Extraction from Vibration Data for Prognostics huang
Session 9: PHM Applications – Transportation
Session Chairs: Steve Holland, Jeff Bird
Friday, Nov 13 – 14:00 – 14:55
1118 Validation and Refinement of a Steering Friction Increase Detection Algorithm Using Test Drive Data Lin
1120 Enhancing Railway Pantograph Carbon Strip Prognostics with Data Blending through a Time-Delay Neural Network Ensemble Trilla
1122 Fault Diagnosis and Isolation for Brushless Electronic Returnless Fuel Systems Hu
1129 Fault Diagnostics and Prognostics for Vehicle Springs and Stablizer Bar Du
1146 A Hybrid Learning Approach to Prognostics and Health Management Applied to Military Ground Vehicles Using Time-Series and Maintenance Event Data Bond
1154 Text Classification and Tagging of US Army Ground Vehicle Fault Descriptions in Support of Data-Driven Prognostics Seale