基于多角度特征提取的舵机故障诊断方法

doi:10.12068/j.issn.1005-3026.2022.09.004

东北大学学报（自然科学版） ›› 2022, Vol. 43 ›› Issue (9): 1240-1249.DOI: 10.12068/j.issn.1005-3026.2022.09.004

基于多角度特征提取的舵机故障诊断方法

王娜^1,2，李杨¹，彭锟¹

(1. 天津工业大学控制科学与工程学院，天津300387； 2. 天津市电气装备智能控制重点实验室，天津300387)

发布日期:2022-09-16
通讯作者: 王娜
作者简介:王娜(1977-)，女，河北衡水人，天津工业大学讲师.
基金资助:
国家自然科学基金面上项目(61773279)；天津市重点研发计划项目(19YFHBQY00040)；天津大学微光机电系统技术教育部重点实验室开放基金资助项目(MOMST2016-4).

Method of Actuator Fault Diagnosis via Multiple Angles Feature Extraction

WANG Na^1,2， LI Yang¹， PENG Kun¹

1. School of Control Science and Engineering， Tiangong University， Tianjin 300387， China; 2. Tianjin Key Laboratory of Intelligent Control of Electrical Equipment， Tianjin 300387， China.

Published:2022-09-16
Contact: WANG Na
About author:-
Supported by:
-

摘要/Abstract

摘要： 针对舵机故障中的抖动问题，提出一种基于多角度特征提取的故障诊断方法.利用短时分析法分帧舵机数据，以获得短时平稳的时间序列；引入能熵比概念提取舵机数据帧内的电流特征，并利用动态时间规整思想提取舵机数据帧内的位置特征，形成多角度特征以增强输入特征的显著性.在此基础上，利用双向长短时记忆网络提高后续舵机故障分类过程的准确性.通过某型舵机抖动实测数据的仿真，并与传统长短时记忆网络的故障诊断结果比较，验证了所提方法的有效性.

关键词: 舵机故障诊断；特征提取；短时分析；能熵比；动态时间规整；双向长短时记忆网络

Abstract: For the swaying problem of actuator faults， a fault diagnosis method based on multi-angle feature extraction is proposed. The short-time analysis idea is used to frame the actuator data to obtain a short-stable time series. The energy-entropy-ratio concept is introduced to extract the current features of actuator datum frame. Dynamic time-regular thoughts to extract positional characteristics within the actuator data frame is utilized. A multi-angle feature to enhance the significance of input characteristics is formed. On this basis， the bidirectional long-short term memory network is used to improve the accuracy of the subsequent actuator fault classification process. Finally， by the measured data from a certain type actuator swaying， the validity of the proposed method is verified by the comparing with the traditional short term memory network methods.

Key words: actuator fault diagnosis; feature extraction; short-time analysis; energy-entropy-ratio; dynamic time warping; bi-directional long-short term memory network

中图分类号:

TP206

王娜，李杨，彭锟. 基于多角度特征提取的舵机故障诊断方法[J]. 东北大学学报（自然科学版）, 2022, 43(9): 1240-1249.

WANG Na， LI Yang， PENG Kun. Method of Actuator Fault Diagnosis via Multiple Angles Feature Extraction[J]. Journal of Northeastern University(Natural Science), 2022, 43(9): 1240-1249.

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基于多角度特征提取的舵机故障诊断方法

Method of Actuator Fault Diagnosis via Multiple Angles Feature Extraction

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