Kong, Zhenyu, Ceglarek, Darek and Huang, Wenzhen. (2008) Multiple fault diagnosis method in multistation assembly processes using orthogonal diagonalization analysis. Journal of Manufacturing Science and Engineering, Vol.130 (No.1). ISSN 1087-1357

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Abstract

Dimensional control has a significant impact on overall product quality and performance of large and complex multistation assembly systems. To date, the identification of process-related faults that cause large variations of key product characteristics (KPCs) remains one of the most critical research topics in dimensional control. This paper proposes a new approach for multiple fault diagnosis in a multistation assembly process by integrdting multivariate statistical analysis with engineering models. The proposed method is based on the following steps: (i) modeling of fault patterns obtained using state space representation of process and product information that explicitly represents the relationship between process-related error sources denoted by key control characteristics (KCCS) and KPCs, and (ii) orthogonal diagonalization of measurement data using principal component analysis (PCA) to project measurement data onto the axes of an affine space formed by the predetermined fault patterns. Orthogonal diagonalization allows estimating the statistical significance of the root cause of the identified fault. A case study of fault diagnosis for a multistation assembly process illustrates and validates the proposed methodology.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics T Technology > TA Engineering (General). Civil engineering (General) T Technology > TS Manufactures
Divisions:	Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	Fault location (Engineering), Assembly-line methods, Orthogonalization methods, Production engineering -- Statistical methods, Manufacturing processes -- Statistical methods
Journal or Publication Title:	Journal of Manufacturing Science and Engineering
Publisher:	A S M E International
ISSN:	1087-1357
Date:	February 2008
Volume:	Vol.130
Number:	No.1
Number of Pages:	10
Identification Number:	10.1115/1.2783228
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Version or Related Resource:	Presented at: ASME International Mechanical Engineering Congress and Exposition, Orlando, Florida, Nov 05-11, 2005
Conference Paper Type:	Other
Type of Event:	Workshop
URI:	http://wrap.warwick.ac.uk/id/eprint/30210

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