A, characterization of diagnosability conditions for variance components analysis in assembly operations Academic Article

abstract

• Variance component estimation algorithms, in conjunction with automated in-process measurement technology, can be effective tools for identifying and eliminating major sources of manufacturing variation in assembly processes. Whether a particular set of variation sources are diagnosable depends critically on how the sensor system is laid out. Diagnosability tests are mathematical in nature and provide little insight into why a particular sensor layout may be nondiagnosable or how to modify the layout to ensure diagnosability. This paper translates the mathematical diagnosability conditions into a set of more conceptually meaningful conditions that provide better insight into the reasons behind the nondiagnosability. 2005 IEEE.

authors

• Ding, Yu

published proceedings

• IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

author list (cited authors)

• Apley, D. W., & Ding, Y.

citation count

• 16

complete list of authors

• Apley, DW||Ding, Y

publication date

• April 2005

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Automation Science and Engineering  Journal

keywords

• Assembly Systems
• Fault Diagnosis
• Manufacturing Variation Reduction
• Sensor Layout
• Variance Component Estimation

Digital Object Identifier (DOI)

• 10.1109/TASE.2005.844436

start page

• 101

end page

• 110

volume

• 2

issue

• 2