The PHM Society offers this updated two-day intensive short course titled PHM Fundamentals and Case Studies—From Monitoring/Sensing to Fault Diagnosis/Failure Prognosis and Case Studies, on PHM tools, methods, applications and case studies on September 22-23 in Philadelphia, USA right before the PHM18 conference. This follows from the first offering at the PHM14 conference in Fort Worth, TX with 48 attendees and ratings of 4/5. It was also run in 2015 in San Diego, 2016 in both Bilbao, Spain and Denver US and in St. Petersburg, USA in 2017.

As in the previous offerings, the course will be taught by recognized international experts in the PHM field and will cover the current state of the art in PHM technologies, sensors and sensing strategies, data mining tools, CBM+ technologies, novel diagnostic and prognostic algorithms as well as a diverse array of application examples/case studies. It is addressed to engineers, scientists, operations managers, educators, small business principals and system designers interested to learn how these emerging technologies can impact their work environment.

Through a lecture (with Q&A), networking and workshop format with specialist experts, participants will:

1. Establish a baseline for defining the extent and capabilities of PHM, specifically needs and organization
2. Identify specific details of PHM Applications (metrics, sensors, cost benefits, reliability) and PHM Methods (diagnostics, prognostics, data driven methods and uncertainty)
3. Identify issues and needs and a way forward including Continuing Professional Development
4. Examine case studies of PHM applications across diverse domains to identify solutions and impacts
5. Plan a PHM application in two mini workshop settings with expert group leaders

Note: A PHM Society Certificate will be provided for 1.4 Continuing Professional Development Units to each participant completing the course.

Course Leaders: Prof. G. Vachtsevanos and Dr. Karl Reichard

Course Presenters: PHM specialists using packaged PHM Society curriculum and presenting their own mini-workshop topics.

Course Administrator: Jeff Bird jeffbird@rogers.com

Course Location: DoubleTree by Hilton, Philadelphia Center City, Philadelphia, Pennsylvania, USA.

Course Fee: To be confirmed in the spring. Contact course administrator for more information.

Presentation Outlines

1. Introduction to Prognostics and Health Management
   • Why the PHM Society?
   • PHM – What and Why
   • PHM Taxonomy View
   • Standards for PHM
   • Overview of the course
2. Requirements and Specifications for PHM at the Vehicle Level
   • Motivation
   • Requirements
   • Stages in Developing Needs
   • Concept of Operations and Use Cases
   • Requirements Flowdown
   • Verification and Validation
   • References
   • Conclusions with Case study to follow
3. PHM Metrics and Performance Evaluation
   • Introduction
   • Prediction Methods
   • Performance Metrics
   • A Working Example
   • Source of Errors in Prognostics
   • What Comparisons are Valid?
   • Metrics Parameters
   • Conclusion
4. Diagnostics Methods
   • Main Concepts in Model-based Diagnosis
   • Examples: Model Based Diagnostic Design
   • Conclusion
5. Requirements and Specifications for PHM- Case Study
   • Problem Statement
   • Methods Investigated
   • Chosen Methods
   • Results and Impact
   • Further development
   • References
   • Conclusions
6. Monitoring and FDI Power Supply Subsystem – Case Study
   • Problem – Failure of Power Supply Module
   • Solution Approach
     • Bond Graph Review
   • Power Supply and Degradation Modeling
   • Experimental Study
   • Fault Detection and Isolation
7. Prognostics
   • Prognostics Overview
   • Prognostics and Reliability Analysis
   • Prognostics and Decision making
   • Estimation for Prognosis
     • Dynamic nonlinear Models, Bayesian filtering and state estimation
   • Failure Prognosis
     • Effects of measurement uncertainty, Feature growth. Analysis example
   • Parameter Uncertainty
     • Outer Correction Loop, Characterization of Future Use
   • Conclusions
8. Data-Driven / Analytics Methods
   • Nature of PHM
   • Feature Extraction
   • Feature Selection
   • Anomaly Detection
   • Random Forest Anomaly Detection
   • Diagnosis – Building a State of the Art System
9. Case Study: A Hybrid Approach to Bearing Spall Prognostics for Military Aircraft
   • Review of PHM
   • Engine System Prognosis Program
   • Data Collection
   • Spall Detection
   • Spall Modeling
     • Size, Propagation, RUL estimation
   • Complete System
10. Case Study: Model-based Prognosis of End-of-Discharge and End-of-Life for Lithium-Ion Batteries in Electric Aircraft
    • Motivation
    • Modeling
    • Solution Approach
    • Experiments
    • Predictions including Uncertainty
      • End of Discharge, End of Life
11. Sensors and Sensing Strategies
    • Systems Background
    • Transducer Specifications
    • Example – Diesel Pump Station
    • Sensor Evolution
    • Conclusions
12. Analysis Mini Workshop
    • Introduction and Objective: Plan the data elements of a PHM project
    • Problem statement and grouping
      • Within each group, identify a volunteer discuss a real-world PHM problem
      • Work through the issues/questions in groups with facilitators
    • Group presentations
13. CBM+ Technologies – An Overview
    • What is CBM+?
    • Key components of CBM+
    • CBM+ from a system perspective
    • Standards
    • Prognostic considerations
14. Cost-Benefit Analysis for HUMS & CBM in the Civil Helicopter Market
    • Benefit of HUMS & CBM Services
    • Specifics of the Commercial Helicopter Market
    • Cost Benefit Assessment
    • Examples
    • Concluding Remarks
15. Plenary Needs and Issues
    • PHM Needs
    • Discussion Issues
16. Reliability-Centered Life Cycle Management of Engineering Systems
    • Background
    • Motivation
    • Technical Approach: Overview Architecture, Life Modeling, Model-based Prognostics, Reliability Analysis, Life Decision Support
    • Challenges – Where do we go from here?
17. Fielded System Case Study: Li-ion Battery (LIB) System Lifecycle Management
    • Problem
    • Motivation
    • Technical Approach
    • Results and Impact
    • Challenges – Where do we go from here?
18. Fielded System Case Study: Real-Time Fault Prediction and Avoidance for Commercial Aircraft Engines
    • Nature Of PHM
    • The Approach: Data Fusion
    • Results
    • Classifier Evaluation
19. Fielded System Case Study: Stryker Brigade Combat Team Embedded Data Collection and Analysis System
    • Goals and Tasks
    • Degradation Analysis and Failure Modes
    • Data Organization
    • Asset Readiness
    • Global, Regional, Local, Unit, Platform
    • Fault Codes and Sensor Data
    • Conclusions
20. Mini Workshop
    • Introduction with Objective: Plan the elements of a PHM project
    • Problem statement and grouping
      • Within each group, identify a volunteer to discuss a real-world PHM problem
    • Work through the issues/questions with facilitators
    • Group presentations
21. Way Forward… Where do YOU go from here? Where do WE go from here?
    • PHM Needs
    • Way Forward
    • Why – Professional Development?
    • Basis for CPD Recognition- AMA?
    • Activity Types?
    • Way forward – Big picture
    • Discussion Issues?
    • Course Feedback