A new bearing fault detection approach based on relevance vector machine (RVM) is presented.

针对轴承故障检测问题，提出一种基于相关向量机(RVM)的故障检测方法。

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Then fault detection approach based on this observer was introduced. The design algorithm of the fault observer was summarized.

然后在此基础上介绍了一种故障检测的方法，总结了故障观测器的设计算法。

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The reasons of low detection accuracy are analyzed in detail and the improved methods are proposed. A fault detection approach based on frequency distance comparison is presented.

通过对造成电动机断条故障检测准确度不高的各种原因进行深入的分析，针对这些原因提出了具体的改进方法，并提出了一种基于频距比较的故障检测新方法。

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