Adaptive Failure Pattern Classification Method based on Neural Networks
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摘要: 在深入研究APT-2神經網絡結構的基礎上,提出了一種基于神經網絡的自適應故障模式分類方法,并應用在軸承故障診斷中,結果表明:該方法對軸承故障模式具有自學習、快速穩定的識別能力。Abstract: The adaptive failure pattern classificationmethod based on neural network is presented through the study of ART-2 neural networks and it is put into application on bearing diagnosis. The results indicate that this method has recognizing abilities of fast, stable and self-adaptive response for bearing fault pattern.
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Key words:
- failure diagnosis /
- neural networks /
- bearing /
- pattern recognition /
- ART-2 networks
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