中国科技纵横2024,Issue(3) :91-93.

风力发电机状态监测和故障诊断技术的研究与进展

Research and Development of Wind Turbine Condition Monitoring and Fault Diagnosis Technology

赵岩 宋君毅
中国科技纵横2024,Issue(3) :91-93.

风力发电机状态监测和故障诊断技术的研究与进展

Research and Development of Wind Turbine Condition Monitoring and Fault Diagnosis Technology

赵岩 1宋君毅2
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作者信息

  • 1. 天津市仁爱龙都建设有限公司,天津 301600
  • 2. 曙光信息产业股份有限公司,天津 300384
  • 折叠

摘要

风力发电机状态监测和故障诊断技术是风力发电领域的重要研究方向,其目标是通过实时监测和分析风力发电机的运行状态,及时发现并预测故障,以提高风力发电机的可靠性和运行效率.目前,风力发电机的故障状态监测和故障诊断技术尚未完善,导致其运行维护成本较高.如果不能及时进行检测,可能造成巨大的经济损失.经过对比实验发现,与传统技术相比,本文提出的状态监测和故障诊断方法能够有效降低风能发电机的失误概率及其运行维护成本.

Abstract

The state monitoring and fault diagnosis technology of wind turbines is an important research direction in the field of wind power generation.Its goal is to detect and predict faults in a timely manner by monitoring and analyzing the operating status of wind turbines in real time,in order to improve the reliability and operational efficiency of wind turbines.At present,the fault condition monitoring and fault diagnosis technology of wind turbine is not perfect,which leads to the high cost of operation and maintenance.If it cannot be detected in time,it may cause huge economic losses.Through comparative experiments,we find that compared with traditional technologies,the condition monitoring and fault diagnosis methods proposed in this paper can effectively reduce the failure probability of wind turbines and their operation and maintenance costs.

关键词

风力发电机/状态监测/故障诊断/工作模式

Key words

wind turbine/condition monitoring/fault diagnosis/work mode

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出版年

2024
中国科技纵横
中国民营科技促进会

中国科技纵横

影响因子:0.102
ISSN:1671-2064
参考文献量7
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