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- W765157367 abstract "The output data of the modern complex product manufacturing process shows the high correlation, leading to the output of the process deviates from the design target or increasing of false alarms when traditional Control Charts monitors the process. A kind of self-related process of residual control chart, which is based on the Neural network, is using Neural network to establish time series prediction model of the self-related process and apply this model to predict the output of the self-related process. Forming residual control chart with the output of the self-related process and the Neural network prediction residual to eliminate correlation of time series of the self-related process and implement statistical quality control of self-related process. Keywords-neural network; self-related process; control chart. I. INTRODUCTION Modern industry frequently takecustomised production pattern of multispecies and small batch. That need to frequently replace raw material, adjust the setting monitor the process timely and automatic data collection, so the manufacturing process shows the high correlation. Structure of self-related process lead to the process output to deviates from the design target and the decrease of the quality of the products. At the same time ,it also destroy the traditional quality control chart of independent assumption about process data and increase control chart of false alarm" @default.
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- W765157367 date "2015-01-01" @default.
- W765157367 modified "2023-10-12" @default.
- W765157367 title "Self-related Process Residual Control Chart Based on Neural Network" @default.
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- W765157367 doi "https://doi.org/10.2991/kam-15.2015.11" @default.
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