| 汽轮发电机组故障诊断的并行关联模型 |
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| 引用本文： | 方泽南,褚福磊,张正松.汽轮发电机组故障诊断的并行关联模型[J].清华大学学报(自然科学版),1998(4). |
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| 作者姓名： | 方泽南 褚福磊 张正松 |
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| 作者单位： | 1. 深圳桑达电信技术有限公司,深圳,518031
2. 清华大学,精密仪器与机械学系,北京,100084 |
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| 摘 要： | 提出了一种新的汽轮发电机组故障诊断模型－并行关联诊断模型（ＰＲＤＭ）。ＰＲＤＭ将复杂问题分解成为相对简单又相互关联的子问题，再根据各个子问题的具体特性由多个相对独立的子系统并行协同工作，简化了求解的复杂程度。和传统的诊断专家系统相比，ＰＲＤＭ具有知识维护容易，推理机制灵活，推理效率高的优点，智能化程度有了进一步提高，适用于大型复杂系统的故障诊断。ＰＲＤＭ已经成功地应用于汽轮发电机组的故障诊断。
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| 关 键 词： | 汽轮发电机组 故障诊断 人工智能 专家系统 |
Parallel relative model for the fault diagnosis of turbo-generator sets |
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| FANG Zenan,CHU Fulei,ZHANG Zhengsong.Parallel relative model for the fault diagnosis of turbo-generator sets[J].Journal of Tsinghua University(Science and Technology),1998(4). |
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| Authors: | FANG Zenan CHU Fulei ZHANG Zhengsong |
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| Affiliation: | FANG Zenan,CHU Fulei,ZHANG Zhengsong Department of Precision Instruments and Mechanology,Tsinghua University,Beijing 100084,China |
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| Abstract: | This paper presents a new parallel relative diagnosis model (PRDM) for turbo generator sets. It divides a complex problem into several related sub problems which can be handled respectively according to the characteristics of each sub problem. Having a more flexible and high efficient reasoning mechanism performed by a set of inference machines. PRDM is more intellectualized than the conventional diagnostics expert system. It is an efficient and practical tool and has been applied successfully to the diagnosis of large turbo generator sets. |
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