A generic bayesian framework for real-time prognostics and health management (PHM)

Pingfeng Wang, Byeng D. Youn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Benefits of Prognostics and Health Management (PHM) to support critical decisionmaking processes can be manifested by effectively implementing prognostics algorithms and accurately predicting the Remaining Useful Lives (RUL) of engineering components or systems. In general, a prognostics process requires two sequential processes: an offline training (or learning) process and an online prediction process. This paper presents a generic data-driven prognostics framework using the Relevance Vector Machine (RVM) for the offline training process and the Similarity-Based Interpolation (SBI) for the online prediction process. The RVM is a state-of-the-art technique for statistical regression that provides regression coefficients in the form of probabilistic distribution functions (PDFs). Within the proposed prognostics framework, the system health degradation process can be characterized by two health index systems: Physics Health Index (PHI) and Virtual Health Index (VHI). In the offline training process, the RVM is employed for a supervised statistical learning with system training dataset to build background health knowledge (e.g., a predictive health degradation curve) of system units in a statistical form. With this background knowledge, the SBI is then proposed for predicting and continuously updating the RUL in a statistical manner in the online prediction process. The proposed generic prognostics framework is applicable to different engineering applications and its effectiveness is demonstrated with two cases studies.

Original languageEnglish (US)
Title of host publication50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
StatePublished - Dec 1 2009
Externally publishedYes
Event50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Palm Springs, CA, United States
Duration: May 4 2009May 7 2009

Publication series

NameCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
ISSN (Print)0273-4508

Other

Other50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
CountryUnited States
CityPalm Springs, CA
Period5/4/095/7/09

ASJC Scopus subject areas

  • Architecture
  • Materials Science(all)
  • Aerospace Engineering
  • Mechanics of Materials
  • Mechanical Engineering

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