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基于UIOs的风力机传动系统多故障诊断

陈宣含 沈艳霞 尹天骄

测控技术2018,Vol.37Issue(5):104-108,5.
测控技术2018,Vol.37Issue(5):104-108,5.

基于UIOs的风力机传动系统多故障诊断

Multi-Fault Diagnosis of Wind Turbine Drive System Based on UIOs

陈宣含 1沈艳霞 1尹天骄1

作者信息

  • 1. 江南大学物联网技术应用教育部工程研究中心,江苏无锡214122
  • 折叠

摘要

Abstract

The fault diagnosis of wind turbine identifies faults and acquires fault information by extracting and estimating the operating data.At present,the fault detection of wind turbine mostly takes into account the single fault,but faults may occur simultaneously in actual projects.By designing unknown input observers,multiple fault diagnosis and isolation of actuators and sensors of the wind turbine drive system are realized.A bank of unknown input observers were designed for different types of faults.Each unknown input observer in the observers generates a residual signal that is not sensitive to the corresponding fault but sensitive to other faults.Single or multiple fault diagnosis can be accomplished by comparing the residual signals of the observers.The fault model of wind turbine drive system was established.The simulation results show that the method is feasible.

关键词

风力机/多故障诊断/未知输入观测器/传动系统

Key words

wind turbine/multiple fault diagnosis/unknown input observer/drive system

分类

能源科技

引用本文复制引用

陈宣含,沈艳霞,尹天骄..基于UIOs的风力机传动系统多故障诊断[J].测控技术,2018,37(5):104-108,5.

基金项目

国家自然科学基金(61573167,61572237) (61573167,61572237)

中央高校基本科研业务费专项资金资助(JUSRP51510) (JUSRP51510)

江苏省普通高校学术学位研究生科研创新计划项目(KYLX16_0775) (KYLX16_0775)

测控技术

OACSTPCD

1000-8829

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