NDLI: An Integrated Approach to Prognosis of Hybrid Systems With Unknown Mode Changes

Content Provider	IEEE Xplore Digital Library
Author	Ming Yu Danwei Wang Ming Luo
Copyright Year	1982
Abstract	A new framework to design model-based prognosis for hybrid systems with unknown mode changes is proposed in this paper. The key step is the construction of an interacting diagnostic hybrid bond graph-particle filter (IDHBG-PF) module in the framework. In the module, the diagnostic hybrid bond graph (DHBG) part is employed for mode tracking after fault occurrence and fault isolation, and the particle filter (PF) part is used for joint state and parameter estimation as well as remaining useful life prediction. The DHBG part provides the set of suspected faults (SSF) to augment the dynamic model for the PF part, whereas the PF part outputs true faults for SSF refinement to facilitate prognosis and further fault isolation. During the prognosis, the probability density function (pdf) of the predicted remaining useful life under different operating modes can be calculated using the estimated mode-dependent degradation rate (MD-DR) and the user-selected failure threshold. The key concepts of the developed prognosis framework are validated by experimental results.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	503
Ending Page	515
Page Count	13
File Size	2004633
File Format	PDF
ISSN	02780046
Volume Number	62
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prognostics and health management Vectors Circuit faults Parameter estimation Fault diagnosis Estimation Degradation remaining useful life Hybrid systems mode-dependent degradation rate (MD-DR) particle filter probability density function (pdf)
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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