基于在线监测的输变电设备故障诊断方法研究与应用
发布时间:2019-04-02 18:35
【摘要】:输变电设备的故障诊断是对设备运行状态评估及检修维护的重要依据,其判定方法的准确可靠将直接影响到输变电设备正常运维及状态检修甚至到整个电力系统的安全与稳定运行。对基于在线监测的输变电设备故障诊断方法进行研究与应用将是提高设备状态检修效率,,提高故障判别能力的有效手段之一。本文分析了输变电设备状态在线监测技术的形成机理及国内外各种基于输变电设备的传统分析方法及人工智能方法,设计了可实际应用的输变电设备状态在线监测系统及其综合智能判定方法,利用计算机系统实现了对输变电设备状态的在线监测。最后对设备的监测数据进行了与传统方式的比对、分析。实际数据的诊断结果表明基于在线监测的输变电设备故障诊断方法是可行的,确实能够有效提高输变电设备故障诊断的准确性与可靠性。
[Abstract]:The fault diagnosis of transmission and transformation equipment is an important basis for the evaluation and maintenance of the equipment's running condition. The accuracy and reliability of the method will directly affect the normal operation and maintenance of power transmission and transformation equipment, condition-based maintenance and even the safety and stability of the whole power system. The research and application of on-line monitoring-based fault diagnosis method for transmission and transformer equipment will be one of the effective means to improve the efficiency of equipment condition-based maintenance and improve the ability of fault discrimination. In this paper, the forming mechanism of on-line monitoring technology for transmission and transformer equipment and the traditional analysis method and artificial intelligence method based on transmission and transformation equipment at home and abroad are analyzed. The on-line monitoring system of transmission and transformer equipment condition and its comprehensive intelligent judgment method are designed. The on-line monitoring of transmission and transformer equipment status is realized by using computer system. Finally, the monitoring data of the equipment are compared with the traditional methods and analyzed. The diagnosis results of practical data show that the fault diagnosis method based on-line monitoring is feasible and can effectively improve the accuracy and reliability of transmission and transformer equipment fault diagnosis.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM764
本文编号:2452809
[Abstract]:The fault diagnosis of transmission and transformation equipment is an important basis for the evaluation and maintenance of the equipment's running condition. The accuracy and reliability of the method will directly affect the normal operation and maintenance of power transmission and transformation equipment, condition-based maintenance and even the safety and stability of the whole power system. The research and application of on-line monitoring-based fault diagnosis method for transmission and transformer equipment will be one of the effective means to improve the efficiency of equipment condition-based maintenance and improve the ability of fault discrimination. In this paper, the forming mechanism of on-line monitoring technology for transmission and transformer equipment and the traditional analysis method and artificial intelligence method based on transmission and transformation equipment at home and abroad are analyzed. The on-line monitoring system of transmission and transformer equipment condition and its comprehensive intelligent judgment method are designed. The on-line monitoring of transmission and transformer equipment status is realized by using computer system. Finally, the monitoring data of the equipment are compared with the traditional methods and analyzed. The diagnosis results of practical data show that the fault diagnosis method based on-line monitoring is feasible and can effectively improve the accuracy and reliability of transmission and transformer equipment fault diagnosis.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM764
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本文编号:2452809
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