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Discrete wavelet transform-based fault diagnosis for driving system of pipeline detection robot arm

Deng Huiyu Wang Xinli Ma Peisun

高技术通讯(英文版)2005,Vol.11Issue(4):397-400,4.
高技术通讯(英文版)2005,Vol.11Issue(4):397-400,4.

Discrete wavelet transform-based fault diagnosis for driving system of pipeline detection robot arm

Discrete wavelet transform-based fault diagnosis for driving system of pipeline detection robot arm

Deng Huiyu 1Wang Xinli 2Ma Peisun1

作者信息

  • 1. Roboties Institute, Shanghai Jiaotong University, Shanghai 200030, P.R.China
  • 2. Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, P.R.China
  • 折叠

摘要

Abstract

A real-time wavelet multi-resolution analysis (MRA)-based fault detection algorithm is proposed. The first stage detailed MRA signals extracted from the original signals were used as the criteria for fault detection. By measuring sharp variations in the detailed MRA signals, faults in the motor driving system of pipeline detection robot arm could be detected. The fault type was then identified by comparison of the three-phase MRA sharp variations. The effects of the faults were examined. The simulation results show that this algorithm is effective and robust, it is promising for fault detection in a robot's joint driving system. The method is simple, rapid and it can operate in real time.

关键词

driving system/multi-resolution analysis/fault diagnosis

Key words

driving system/multi-resolution analysis/fault diagnosis

分类

信息技术与安全科学

引用本文复制引用

Deng Huiyu,Wang Xinli,Ma Peisun..Discrete wavelet transform-based fault diagnosis for driving system of pipeline detection robot arm[J].高技术通讯(英文版),2005,11(4):397-400,4.

基金项目

Supported by the High Technology Research and Development Programme of China (No.2002AA420080). (No.2002AA420080)

高技术通讯(英文版)

OAEI

1006-6748

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