Manufacturing process monitoring using neural networks
作者： T.-H. Hou , L. Lin
DOI: 10.1016/0045-7906(93)90042-P
关键词: Control engineering 、 Process control 、 Backpropagation 、 Process (computing) 、 Digital signal processing 、 Time delay neural network 、 Artificial neural network 、 Automatic control 、 Engineering 、 Frequency domain
摘要: Abstract Effective automatic control in manufacturing processes depends on a properly designed and implemented computerized monitoring system. In this paper, system for identifying both periodic aperiodic process signals using neural networks is reported. Digital signal processing techniques are first used to convert collected into frequency domain. Then network-based program identify these by examining their characteristic frequencies. Implementation of logic the system's computational properties discussed. The promising results demonstrated application examples show that seems have good potential control.
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