ABSTRACT
This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.
TABLE OF CONTENTS
part I|177 pages
Data-Driven Methods for Systems Health Management
part II|157 pages
Physics-Based Methods for Systems Health Management
chapter Chapter 6|21 pages
Gaussian Process Damage Prognosis under Random and Flight Profile Fatigue Loading
chapter Chapter 7|41 pages
Bayesian Analysis for Fatigue Damage Prognostics and Remaining Useful Life Prediction
chapter Chapter 8|41 pages
Physics-Based Methods of Failure Analysis and Diagnostics in Human Space Flight
chapter Chapter 9|51 pages
Model-Based Tools and Techniques for Real-Time System and Software Health Management
part III|113 pages
Applications