Intelligent Fault Diagnosis and Prognosis for Engineering Systems

Author:George Vachtsevanos, Frank Lewis, Michael Roemer, Andrew Hess, Biqing Wu

Abstract

Condition-based maintenance (CBM) and prognostics and health management (PHM) have emerged over recent years as significant technologies that are making an impact on both military and commercial maintenance practices. We are indeed witnessing a true paradigm shift in the way complex dynamic systems (aircraft and spacecraft, shipboard systems, industrial and manufacturing processes, etc.) are designed, monitored, and maintained. Fault diagnosis and prognosis of the failing component s remaining useful life, as well as logistics support activities required to maintain, repair, or overhaul such critical systems, require active contribution from multiple disciplines. CBM and PHM technologies are characterized by the merging and strong coupling of interdisciplinary trends from the engineering sciences, computer science, reliability engineering, communications, management, etc. Writing a book that is not merely an edited collection of technical papers in this area but presents systematically and as thoroughly as possible the diverse subject matter from sensors and systems studies to logistics therefore is a challenging and arduous task that requires the contributions of many experts and the compilation of source and reference material across disciplines.

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Hierarchical HMMs for autonomous diagnostics and prognostics