Research on the Technique of Fault Diagnosis Based on Bidirectional Reasoning Sequential Method

赵河明; 潘宏侠

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Research on the Technique of Fault Diagnosis Based on Bidirectional Reasoning Sequential Method

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- Research on the Technique of Fault Diagnosis Based on Bidirectional Reasoning Sequential Method
- 基于双向推理的序贯性故障诊断技术
- Issue 3, Pages: 184-186(2005)
- 作者机构：
  
  1. ,山西,太原,030051
  2. 中北大学机械电子工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2005
- 稿件说明：
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赵河明, 潘宏侠. Research on the Technique of Fault Diagnosis Based on Bidirectional Reasoning Sequential Method[J]. 2005, (3): 184-186.
DOI：

赵河明, 潘宏侠. Research on the Technique of Fault Diagnosis Based on Bidirectional Reasoning Sequential Method[J]. 2005, (3): 184-186. DOI：

摘要

　应用人工智能的推理方法

从部分征兆集的扩展出发

研究了基于部分征兆集的故障诊断理论.描述了序贯性故障诊断的具体算法.建立了部分征兆集的诊断数学模型.最后应用实例对其故障诊断过程和推理过程进行了详细的分析

这种方法对提高复杂设备故障诊断的准确性和效率具有重要的意义.

Abstract

In this work

using the reasoning method of the artificial intelligence and beginning with the expansion of the portion symptom set

fault diagnosis principle based on the portion symptom set is studied

the detailed algorithm about the sequential fault diagnosis is described

and the diagnosis model on the portion symptom set is built. In the end

the process of fault diagnosis and reasoning is analyzed in detail through an example. The method has the important significance in improving the precision and effect of complex equipment fault diagnosis.

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references

　王万森.人工智能原理及其应用[M].北京:电子工业出版社,2000.102-112.

　吴今培,肖健华.智能故障诊断与专家系统[M].北京:科学出版社,1997.86-88.

　杨叔子.基于知识的诊断推理[M].北京:清华大学出版社,1993.135-140.

　潘宏侠,姚竹亭,黄晋英.车辆动力传动系统故障诊断与监测技术研究[J].华北工学院学报,2002,23(2):109-113.PanHongxia,YaoZhuting,HuangJinying.Techniquesonmonitoringandfaultdiagnosisforvehiclepowertransmissionsystem[J].JournalofNorthChinaInstituteofTechnology,2002,23(2):109-113.

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