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ART网络在内燃机故障诊断中的应用

Application of ART network to fault diagnosis for I.C. Engines

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【作者】 夏勇张振仁陈卫昌成曙刘学杰

【Author】 XIA Yong, ZHANG Zhen ren, CHEN Wei chang, CHENG Shu, LIU Xue jie (The Second Artillery Engineering Institute, Xi’an 710025, China)

【机构】 第二炮兵工程学院研究生二队第二炮兵工程学院研究生二队 陕西西安710025陕西西安710025陕西西安710025

【摘要】 对缸盖振动信号进行二进小波分解 ,从分解后的尺度 1信号中提取诊断特征参数 ,利用这些诊断参数及改型的ART网络对气阀机构进行故障诊断与识别 ,取得了较好的效果。

【Abstract】 Vibration signal measured on cylinder head was analyzed and processed with wavelet decomposition algorithm. The energy and energy percentages of different segments in time domain on scale 1 signal were worked out. These parameters and the ART network were used to carry out the clustering of different valve train states. The results show that it can carry out the diagnosing for valve train effectively and concisely.

  • 【分类号】TK407;TP183
  • 【被引频次】5
  • 【下载频次】57
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