Diagnosability analysis of multi-station manufacturing processes
Ding, Yu, Shi, Jianjun and Ceglarek, Dariusz. (2002) Diagnosability analysis of multi-station manufacturing processes. Journal of Dynamic Systems, Measurement, and Control, Vol.124 (No.1). pp. 1-13. ISSN 0022-0434Full text not available from this repository.
Official URL: http://dx.doi.org/10.1115/1.1435645
Variation propagation in a multi-station manufacturing process (MMP) is described by the theory of "Stream of Variation." Given that the measurements are obtained via certain sensor distribution scheme, the problem of whether the stream of variation of an MMP is diagnosable is of great interest to both academia and industry. We present a comprehensive study of the diagnosability of MMPs in this paper. It is based on the state space model and is parallel to the concept of observability in control theory. Analogous to the observability matrix and index, the diagnosability matrix and index are first defined and then derived for MMP systems. The result of diagnosability study is applied to the evaluation of sensor distribution strategy. It can also be used as the basis to develop an optimal sensor distribution algorithm. An example of a three-station assembly process with multi-fixture layouts is presented to illustrate the methodology.
|Item Type:||Journal Article|
|Divisions:||Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)|
|Journal or Publication Title:||Journal of Dynamic Systems, Measurement, and Control|
|Publisher:||American Society of Mechanical Engineers|
|Page Range:||pp. 1-13|
|Access rights to Published version:||Restricted or Subscription Access|
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