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Design and Implementation of Intelligent Manufacturing Systems: From Expert Systems, Neural Networks, to Fuzzy Logic by Hamid R. Parsaei, Mohammed Jamshidi

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Chapter 7. Using Neural Networks for the Automatic Monitoring and Recognition of Signals in Manufacturing Processes

T.-H. Hou, National Yunlin Institute of Technology, Taiwan

L. Lin, State University of New York at Buffalo

The design and implementation of effective control of manufacturing processes depends on the successful monitoring and recognition of process signals. In this chapter, we describe the application of neural network to the monitoring and recognition of both periodic and aperiodic process signals that may be encountered in manufacturing processes. In a developed prototype system a preprocessor first converts collected signals from time domain to the frequency domain using digital signal processing techniques. Then a signal recognition ...

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