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Application of Fault Phenomenon Vector Distance Discriminance in Woodworking Machinery System Fault Diagnosis

机译:故障现象矢量距离判别在木工机械系统故障诊断中的应用

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摘要

Aiming at the problem of diagnosis difficulty caused by too many factors of woodworking machinery system, a kind of diagnosing method based on fault phenomenon was presented. The research on woodworking machinery system fault phenomenon space arrived at conclusion that the emergency of each fault phenomenon subject to 0-1 distribution. Therefore, phenomenon vector corresponding to each fault formed cluster whose accumulation point is expectation of vector. After exclusion of abnormal vectors, the distance discrimination was used to fault diagnosis to establish expert system based on fault phenomenon vector. The confirmed result was return back to fault database so that the system achieve self-learning of real-time diagnosis experiences. Finally, the example on wood-wool working equipment proves that the diagnostic method has characteristics of good real-time, simple operation and high diagnostic accuracy.
机译:针对木工机械系统因素过多造成的诊断困难问题,提出了一种基于故障现象的诊断方法。对木工机械系统故障现象空间的研究得出结论,每种故障现象的发生率均服从0-1分布。因此,对应于每个断层的现象矢量形成了其聚集点是矢量期望的簇。排除异常矢量后,利用距离判别技术进行故障诊断,建立基于故障现象矢量的专家系统。确认结果返回到故障数据库,使系统实现实时诊断经验的自学习。最后,以木棉加工设备为例,说明该诊断方法具有实时性好,操作简单,诊断准确度高的特点。

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