【作者】 宋光雄； 张国松； 顾煜炯；

【Author】 Song Guangxiong Zhang Guosong Gu Yujiong (Institute of Energy and Power Engineering,Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of Ministry of Education,North China Electricity Power University,Beijing,102206)

【机构】 华北电力大学能源与动力工程学院 电站设备状态监测与控制教育部重点实验室；

【摘要】 大型旋转机械是电力、石化、冶金等国民生产支柱行业的关键设备,振动故障是影响大型旋转机械安全运行的重要问题。本文针对旋转机械振动故障智能诊断工作中的不确定性问题,提出双参数方法解决诊断规则不确定性参数获取及不确定性推理诊断问题,并给出了双参数方法在旋转机械振动故障诊断中的工程应用实例。更多还原

【Abstract】 Large rotatory machinery is pivotal facility in the power,petrochemical and metallurgical industry.Vibration faults greatly influence the normal running of large rotatory machinery.To solve the uncertainty issues in the parameter acquisition of fault diagnosis rules and the fault diagnosis reasoning method, the dual factors method is proposed.The application of the dual factors method in rotatory machinery vibration fault diagnosis is presented.The results show that the dual factors method is effective and feasible for solving the uncertainty issues in the parameter acquisition and the fault diagnosis reasoning method.更多还原