基于CLPSO一BP神经网络的航发轴承故障诊断软件设计

打开文本图片集

中图分类号：TP311.1 文献标志码：A 文章编号：1671-5276（2025）05-0126-04

Abstract：This paper proposes a bearing fault diagnosis algorithm based on CLPSO-BP，by which，an aircraft engine bearing fault diagnosis software is developed.The software，by the improved algorithm，isappliedto perform feature extraction and fault pattern recognition，conduct signal time-frequency analysis and implement fault early warning functionto overcome the shortcomings of conventional methodsand enhance diagnostic performance.This reserch has inovativeandreferential significance forthefuture theoryandapplication of aircraft enginebearing fault diagnosis.

Keywords：fault diagnosis；CLPSO-BP neural network algorithm；aircraft engine；bearing

0 引言

航空发动机轴承是承载传动系统的关键组件，其性能直接关系到发动机的使用寿命和可靠性 ⋅[1-2] 。（剩余3994字）