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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Bearing fault diagnosis in rotating machinery based on cepstrum pre-whitening of vibration and acoustic emission
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Bearing fault diagnosis in rotating machinery based on cepstrum pre-whitening of vibration and acoustic emission

机译：基于铸造振动和声发射的岩粒预美化的旋转机械轴承故障诊断

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摘要

In this study, an experimental system was built to acquire vibration and acoustic emission (AE) signals from faulted bearings methodology based on cepstrum pre-whitening (CPW), tested for vibration signals, and was applied for both types of signals to compare and enhance results on machining condition monitoring. The methodology was applied to 9 vibration and 9 AE signals from the experimental system database. For the 18 analyzed signals, in 5 the identification of fault components was easily made, in 12 the fault identification was possible, and in 1 the identification was not completed. The comparison between vibration and AE from 9 tests of experimental system results in 6, vibration has a better result than AE, specifically in the inner race and rolling element faults, for the remaining 3 tests that correspond to outer race fault, AE has a better result.
机译：在该研究中，建立了一种实验系统，以基于倒谱预美化（CPW）来获取来自故障轴承方法的振动和声学发射（AE）信号，用于振动信号，应用于两种类型的信号来比较和增强 加工条件监测的结果。 该方法应用于来自实验系统数据库的9个振动和9 AE信号。 对于18个分析的信号，在5中，容易进行故障组件的识别，在12中，可能存在故障识别，并且在1中未完成识别。 振动和AE之间的比较从9个实验系统的测试结果中导致6，振动具有比AE更好的结果，特别是在内圈和滚动元件故障中，对于剩下的3个测试，对应外部竞争的故障，AE有更好的 结果。

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