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Under the conditions of small batch, there are many problems in the applications of statistical process control (SPC), which has limitation in the course of modern industry. The parameterσ must maintain invariably which comes from its supposition process white noise N (0 σ), or else the control chart is untenable. This paper proposed to carry on the quality control using the Kalman filtering. Using the Kalman filtering as the basic theory of the industry quality control process can fully reflect the content of control. It can completely eliminate inadaptation of the using with SPC in the course of modern industry quality control process. Through the example research, the paper indicates that the Kalman filtering has the compatibility of the quality control compared to SPC, the estimating error of which is small. © 2009 IEEE.
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Year: 2009
Language: English
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 6
ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 6
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