| 基于贝叶斯网络的转子系统故障诊断研究 |
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| 引用本文： | 邵继业,徐敏强,王日新,高晶波. 基于贝叶斯网络的转子系统故障诊断研究[J]. 热力透平, 2007, 36(3): 175-177 |
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| 作者姓名： | 邵继业 徐敏强 王日新 高晶波 |
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| 作者单位： | 哈尔滨工业大学航天学院,哈尔滨,150001;哈尔滨工业大学航天学院,哈尔滨,150001;哈尔滨工业大学航天学院,哈尔滨,150001;哈尔滨工业大学航天学院,哈尔滨,150001 |
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| 摘 要： | 通过分析传统故障诊断方法在处理实际系统不确定性问题时存在的困难,研究了基于贝叶斯网络的转子故障诊断方法。依据转子系统存在的故障类型和对应的故障征兆,本文建立了转子系统的贝叶斯网络模型,并开发了基于贝叶斯网络模型的转子故障诊断系统。通过对实际转子系统故障的检测,证实了该方法在处理信息不确定条件下,进行故障诊断的有效性。
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| 关 键 词： | 故障诊断 贝叶斯网络 转子系统 不确定性 |
| 文章编号： | 1672-5549（2007）03-0176-03 |
| 修稿时间： | 2007-03-08 |
Fault Diagnosis of Rotor System Based on Bayesian Network |
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| SHAO Ji-ye,XU Min-qiang,WANG Ri-xin,GAO Jing-bo. Fault Diagnosis of Rotor System Based on Bayesian Network[J]. Thermal Turbine, 2007, 36(3): 175-177 |
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| Authors: | SHAO Ji-ye XU Min-qiang WANG Ri-xin GAO Jing-bo |
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| Affiliation: | School of Astronautics, Harbin Institute of Technology, Harbin 150001, China |
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| Abstract: | A fault diagnosis method of rotor system based on Bayesian network is studied by analyzing the difficulties of the traditional fault diagnosis process in dealing with the problem of uncertainty.According to rotor system's fault type and its symptoms,the paper builds the Bayesian network model of the rotor system,and based on which,develop rotor fault diagnosis system.Through detecting the actual faults of rotor system,it is demonstrated that this method is effective under the uncertainty condition. |
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| Keywords: | fault diagnosis Bayesian network rotor system uncertainty |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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