NDLI: Multiple incipient faults prognosis for CCBII braking system

Content Provider	IEEE Xplore Digital Library
Author	Yingze Yang Rui Bin Zhiwu Huang Yufu Qin Jiandui Yi
Copyright Year	2014
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China (Yingze Yang; Rui Bin; Zhiwu Huang; Yufu Qin; Jiandui Yi)
Abstract	Due to various operation modes, complex working environment, and various components with strong coupling in CCBII braking system, multiple incipient faults may happen simultaneously. It is difficult to carry out the multiple incipient faults prognosis for the CCBII braking system using the traditional faults prognosis techniques. In this article, a model-based fault prognosis approach is used for CCBII braking system with multiple incipient faults. Firstly, the models of the working modes are established, the latest concept of Augmented Global Analytical Redundancy Relations (AGARRs) is used to consider parametric and nonparametric incipient fault prediction. Before the faults are detected, mode tracking is realized by comparing Mode-change Signature Matrix (MCSM) with the coherence vector. Once the mode tracking fails, the fault hypothesis set, including suspected faults and suspected mode change, is established correspondingly. The degradation behavior of incipient fault is unknown in advanced and the unknown degradation characteristics of each incipient fault can be predicted with some matching dynamic models. Furthermore, the degradation models and incipient faults are identified using a mixed differential evolution (MDE) algorithm. The real-time online faults prognosis of CCBII braking system is realized. Finally, simulation tests validate the efficiency of the proposed scheme.
Starting Page	789
Ending Page	794
File Size	210218
Page Count	6
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852272
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Degradation Switches Valves mixed differential evolution multiple incipient faults Vectors CCBII braking system Mathematical model fault prognosis Prognostics and health management Solenoids
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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