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Method for Fault Diagnosis of an Aero-engine Rolling Bearing Based on Random Forest of Power Spectrum Entropy

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

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.
机译:本发明属于航空发动机故障诊断技术领域,提供了一种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。针对现有技术中存在的上述缺陷,提供了一种基于随机森林的航空发动机滚动轴承故障诊断方法,其中采用了研究所提供的航空发动机滚动轴承的测试测量数据。首先建立训练数据集和测试数据集;基于故障特征提取的思想,采用小波分析对原始采集数据进行时域统计分析和频域分析。从工程应用的角度实现有效的故障诊断。

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