Ding, Yu, Ceglarek, Darek and Shi, Jianjun (2002) Fault diagnosis of multistage manufacturing processes by using state space approach. Journal of Manufacturing Science and Engineering, Vol.124 (No.2). pp. 313-322. doi:10.1115/1.1445155 ISSN 1087-1357.

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Abstract

This paper presents a methodology for diagnostics of fixture failures in multistage manufacturing processes (MMP). The diagnostic methodology is based on the state-space model of the MMP process, which includes part fixturing layout geometry and sensor location. The state space model of the MMP characterizes the propagation of fixture fault variation along the production stream, and is used to generate a set of predetermined fault variation patterns. Fixture faults are then isolated by using mapping procedure that combines the Principal Component Analysis (PCA) with pattern recognition approach. The fault diagnosability conditions for three levels: (a) within single station, (b) between stations, and (c) for the overall process, are developed. The presented analysis integrates the state space model of the process and matrix perturbation theory to estimate the upper bound for isolationability of fault pattern vectors caused by correlated and uncorrelated noises. A case study illustrates the proposed method.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	Journal of Manufacturing Science and Engineering
Publisher:	A S M E International
ISSN:	1087-1357
Official Date:	May 2002
Dates:	Date Event May 2002 Published
Volume:	Vol.124
Number:	No.2
Page Range:	pp. 313-322
DOI:	10.1115/1.1445155
Status:	Peer Reviewed
Publication Status:	Published

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