DocumentCode :
690952
Title :
Quality monitor in multi-operation machining processes based on wavelet filtering
Author :
Chen, Bing ; Wang, Peng ; Zhang, D.H. ; Liu, Kun
Author_Institution :
Minist. of Educ., Northwestern Polytech. Univ., Xi´an, China
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
2375
Lastpage :
2379
Abstract :
The method of quality monitor based on wavelet filtering was proposed to solve the problems of quality control in multi-operation manufacturing processes, whose measurement data contained noise information. The multi-operation machining process quality control model based on the Stream of Variation (SoV) technology was built, which considered the error propagation. Based on this, the method of discrete wavelet transformation was adopted to smooth data and to reduce noise, and then control charts were built by the method of T-square control chart to monitor processes. The average run length (ARL) was adopted to verify the performance of the proposed quality control method. A sample application was developed to illustrate the feasibility and validity of the proposed quality monitor method.
Keywords :
condition monitoring; control charts; discrete wavelet transforms; machining; quality control; T-square control chart; average run length; discrete wavelet transformation; error propagation; multioperation machining processes; quality control; quality monitoring; stream-of-variation technology; wavelet filtering; Control charts; Machining; Monitoring; Noise; Noise measurement; Process control; Quality control; Quality control model; noise processing; statistical process control; wavelet transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/IEEM.2012.6838173
Filename :
6838173
Link To Document :
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