Fault diagnosis of multistage manufacturing processes by using state space approach Academic Article

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.

authors

• Ding, Yu

published proceedings

• JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

author list (cited authors)

• Ding, Y., Ceglarek, D., & Shi, J. J.

citation count

• 182

complete list of authors

• Ding, Y||Ceglarek, D||Shi, JJ

publication date

• May 2002

publisher

• ASME International  Publisher

published in

• n1087-1357ISSN  Journal

keywords

• 40 Engineering
• 4007 Control Engineering, Mechatronics And Robotics
• 4010 Engineering Practice And Education
• 4014 Manufacturing Engineering

Digital Object Identifier (DOI)

• 10.1115/1.1445155

start page

• 313

end page

• 322

volume

• 124

issue

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1115%2F1.1445155