A moving average denoise operator and grey discrete production process quality prediction model

What is it about?

The AHP-PFMEA structure tree is established based on analytic hierarchy process(AHP) and process failure mode and effect analysis(PFMEA).Through the failure mode analysis table of the production process, the weight of the failure process and stations is determined, and the ranking of risk failure stations is obtained, so as to find out the serious failure process and stations. The spectrum analysis method is used to identify the fault data and judge the "abnormal" value in the fault data. Based on the analysis of the impact, a "offset operator" is designed to eliminate the impact. A new moving average denoise operator is constructed to eliminate the "noise" in the original random fluctuation data. Then, DGM (1,1) grey discrete production process quality prediction model is constructed to predict the production process quality.

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