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燃气轮发电机组多故障诊断的物元分析方法
引用本文:金文,陈长征,金志浩,闻邦椿. 燃气轮发电机组多故障诊断的物元分析方法[J]. 中国电机工程学报, 2007, 27(17): 57-60
作者姓名:金文  陈长征  金志浩  闻邦椿
作者单位:1. 沈阳工业大学诊断与控制工程中心,辽宁省,沈阳市,110023
2. 沈阳化工学院机械工程学院,辽宁省,沈阳市,110142
3. 东北大学机械工程与自动化学院,辽宁省,沈阳市,110004
基金项目:国家自然科学基金;教育部春晖计划项目
摘    要:以振动特征频谱为依据,提出了一种定性与定量相结合的多故障的可拓诊断方法。基于可拓学中的物元理论,建立定性地描述燃气轮机故障诊断问题的物元模型;引入可拓集合中的关联函数及关联度,提出了多故障诊断准则,根据故障特征定量地确定燃气轮发电机组故障症状隶属于特定故障的程度。用接近阈值确定可能同时发生的故障类型,用类别阈值确定不能同时发生的故障类型。以燃气轮机组实际故障为例验证了该方法的合理性、有效性。结果表明多维物元模型能较好地表征燃气轮机的多故障问题,并能解决燃气轮发电机组的多故障诊断问题。

关 键 词:热能动力工程  燃气轮机  故障诊断  可拓理论  物元分析
文章编号:0258-8013(2007)17-0057-04
收稿时间:2006-07-17
修稿时间:2006-12-21

Matter-element Analysis Method of Multiple Fault Diagnosis for Gas Turbines
JIN Wen,CHEN Chang-zhen,JIN Zhi-hao,WEN Bang-chun. Matter-element Analysis Method of Multiple Fault Diagnosis for Gas Turbines[J]. Proceedings of the CSEE, 2007, 27(17): 57-60
Authors:JIN Wen  CHEN Chang-zhen  JIN Zhi-hao  WEN Bang-chun
Affiliation:1.Engineering Center of Diagnosis and Control, Shenyang University of Technology, Shenyang, 110023, Liaoning Provinve, China; 2.Department of Mechanical Engineering, Shenyang Institute of Chemical Technology, Shenyang, 110142, Liaoning Province, China; 3.College of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110004, Liaoning Province, China
Abstract:An approach was put forward to diagnose the multiple faults of gas turbines according to the characteristic frequency spectrum of vibration. Based on the matter-element of extension theory, a matter-element model was built to describe the multiple faults and fault situation of rotary machines qualitatively. The dependent function and the dependent degree of the symptom of the fault were introduced to evaluate the possibility of the fault, and the faults of the gas turbine can be determined quantificationally, putting forward the diagnosis rules of the multiple faults. The difference field and the recognition field were used to determine whether the different faults may appear simultaneously. The diagnosis example was taken to validate the approach. The diagnosed result is consistent with the real result. It was shown that the multiple dimension matter-element model can express and diagnose the multiple faults of gas turbines well.
Keywords:thermal power engineering  gas turbine  faults diagnosis  extension set  matter-element analysis
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