Investigation on early fault classification for rolling element bearing based on the optimal frequency band determination
Investigation on early fault classification for rolling element bearing based on the optimal frequency band determination
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DOI：
10.1007/s10845-013-0772-8
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发表时间：
2015-02
影响因子：
8.3
通讯作者：
Hongkun Li;Xia Lian;Cheng Guo;Pengshi Zhao
中科院分区：
文献类型：
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作者：
Hongkun Li;Xia Lian;Cheng Guo;Pengshi Zhao
作业机械的状态监测和故障诊断在制造过程中变得越来越重要，因为它们与产品的质量密切相关。同时，由于机床总是在非设计状态下工作，这对滚动轴承的早期故障诊断是至关重要的。基于包络分析的最佳频段确定是REB早期故障诊断的关键问题。在本研究中，提出了一种新的确定REB故障诊断最佳频带的方法，即利用参考信号来确定被分析的频带。通过比较当前状态和正常状态，根据方差得到最佳频段。为了验证该方法的有效性，利用仿真信号和试验台上的实验信号进行了研究。为了验证该方法的有效性，还对实际监测的REB早期故障诊断进行了研究。结果表明，该方法可以提高模式识别的准确率，有利于制造机械REB故障诊断的发展。该方法有助于根据监测到的REB状态调查，开发出适合于工业应用的REB早期故障诊断系统。
Condition monitoring and fault diagnosis of working machine become increasingly important during the manufacturing process because they are closely related to the quality of product. In the meanwhile, they are crucial for early fault diagnosis of rolling element bearing (REB) as a machine always works in an off-design condition for machine tools. The key issue of REB early fault diagnosis is the optimal frequency band determination based on envelope analysis. In this research, a new method is proposed to determine the best frequency band for REB fault diagnosis by using a reference signal to determine the analyzed frequency band. The best frequency band is obtained according to the variance by comparing current condition with a normal one. To verify the effectiveness of this method, simulation signal and experimental signal in the test rig are applied for investigation. As well, practical monitored REB early fault diagnosis is also investigated to verify the effectiveness of this method. It can be concluded that this method can improve the accuracy for pattern recognition and benefit the development of REB fault diagnosis for manufacturing machines. This method assists us to develop an REB early fault diagnosis system, which is suitable for industrial application according to monitored REB condition investigation.