Machine Learning and Knowledge Discovery for Engineering Systems Health Management

CHAPTER 12

Hybrid Models for Engine Health Management

Allan J. VolponiRavi Rajamani

CONTENTS

12.1    Introduction

12.2    Background

12.3    Hybrid Model Process

12.4    Example

12.5    Verification and Validation

12.6    Transient Diagnostics and Anomaly Detection

12.7    V&V of Diagnostic Algorithms

12.8    Validation

12.9    Software Specifications and Design Descriptions

12.10  Verification

12.11  Summary

Acknowledgment

References

12.1    INTRODUCTION

Engine health management (EHM) systems deal with the monitoring, detection, isolation, predictive trending, and accommodation of engine degradation, faults, and failures. The approaches in current use draw from a wide range of engine system disciplines including materials, structures, ...