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Method for fault diagnosis of an aero-engine rolling bearing based on random forest of power spectrum entropy
Method for fault diagnosis of an aero-engine rolling bearing based on random forest of power spectrum entropy
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机译:基于功率谱熵随机森林的航空发动机滚动轴承故障诊断方法
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摘要
The present invention belongs to the technical field of fault diagnosis of aero-engines, and provides a method for fault diagnosis of an aero-engine rolling bearing based on random forest of power spectrum entropy. Aiming at the above-mentioned defects existing in the prior art, a method for fault diagnosis of an aero-engine rolling bearing based on random forest is provided, wherein test measured data for an aero-engine rolling bearing provided by a research institute are used for establishing a training dataset and a test dataset first; and based on an idea of fault feature extraction, time domain statistical analysis and frequency domain analysis are conducted on original collection data by adopting wavelet analysis; thereby realizing effective fault diagnosis from the perspective of engineering application.
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