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基于模糊petri网理论的汽轮机润滑油系统故障诊断研究 被引量:1

Fault Diagnosis for the Main Turbine Lube Oil System Based on the Fuzzy Petri Net
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摘要 汽轮机润滑油系统对于电厂机组安全运行起着至关重要的作用,润滑油压低故障是润滑油系统重要的报警信号。针对汽轮机润滑油压低故障,利用模糊Petri网理论,建立汽轮机润滑油系统模糊Petri网故障模型。经过对模型的推理计算,得到汽轮机润滑油压低故障产生的各个原因概率。通过与电厂润滑油系统故障原因的实际对比,验证模型的正确性和有效性,为电厂系统的故障诊断提供了一个新的思路。 The main turbine lube oil system has a vital importance for power plant safety operation, and the lube oil pressure low is one of the most important alarm signal. Based on the fuzzy petri net, a lube oil system fuzzy petri fault model has been established for this alarm signal. Through the consequence and account for this model, the reasons probability for the main turbine lube oil pressure low have been took out. In contrast with the power plant spot fault reasons, the contrast result proved this model is accurate and valid. And this paper provides a new approach for power plant systems' diagnosis.
出处 《山东电力技术》 2011年第5期67-70,共4页 Shandong Electric Power
关键词 润滑油系统 模糊PETRI网 建模 故障诊断 lube oil system fuzzy petri net modeling fault diagnosis
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