科技创新与应用2025，Vol.15Issue(2)：47-50,57,5.DOI:10.19981/j.CN23-1581/G3.2025.02.010
基于双通道Transformer模型的多维信号故障诊断方法
钟亮 1邱化海 1邱诒耿1
作者信息
- 1. 华电章丘发电有限公司,济南 250200
- 折叠
摘要
Abstract
Induction motors play a very important role in modern industry.However,motors can become tired after running for a long time,leading to catastrophic consequences.Since the essence of motor fault diagnosis is to classify the time signal of the motor,this study proposes a dual-channel Transformer model,which uses current and vibration signals to diagnose,and extracts frequency domain features through continuous wavelet transform as inputs.The dual-channel Transformer model passes the time-domain and frequency-domain signals of the data through the Transformer model respectively.This substitution can extract not only temporal characteristics,but also spatial characteristics.Experimental results show that the proposed model can provide a diagnosis accuracy of up to 95.36%,proving its effectiveness in motor fault diagnosis.Compared with traditional single-signal fault diagnosis methods,this model has better robustness and accuracy.关键词
电机故障诊断/双通道Transformer模型/小波变换/多维信号/频域特征Key words
motor fault diagnosis/dual-channel Transformer model/wavelet transform/multi-dimensional signal/frequency domain characteristics分类
信息技术与安全科学引用本文复制引用
钟亮,邱化海,邱诒耿..基于双通道Transformer模型的多维信号故障诊断方法[J].科技创新与应用,2025,15(2):47-50,57,5.
