Patent · US Active

Method for fault diagnosis of an aero-engine rolling bearing based on random forest of power spectrum entropy

US11333575B2 · kind B2 · utility

1Cited by

2References

1Claims

0Family size

Assignee

Dalian University of Technology · CN

Inventors

Shuo Zhang · Oettingen, DE
Jibang Li · 东风镇, CN
Ximing SUN · 东风镇, CN
Tao Sun · Nanjing, CN

Key dates

Filing date	Mar 1, 2018
Grant date	May 17, 2022
Priority date	—
Expiry date	Dec 29, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06F2218/12
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.