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汽轮发电机组故障的振动特征与自动识别
引用本文:伍行健,史铁林,叶能安,杨叔子. 汽轮发电机组故障的振动特征与自动识别[J]. 华中科技大学学报(自然科学版), 1993, 0(1)
作者姓名:伍行健  史铁林  叶能安  杨叔子
作者单位:华中理工大学工程力学系(伍行健,叶能安),华中理工大学机械工程一系(史铁林),华中理工大学机械工程一系(杨叔子)
摘    要:讨论了汽轮发电机组的常见故障在振动信号中所反映出的一些特征,以及这些特征所表现出的不确定性问题.提出了一种模糊性假设的统计检验方法并应用于随机模糊性振动特征的自动识别中.

关 键 词:发电机故障  故障诊断  振动分析  统计检验  特征识别

Vibration Features of Different Faults in Turboalternators and Their Automatic Recognition
Wu Xingjian Shi Tielin Ye Nengan Yang Shuzi. Vibration Features of Different Faults in Turboalternators and Their Automatic Recognition[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 1993, 0(1)
Authors:Wu Xingjian Shi Tielin Ye Nengan Yang Shuzi
Affiliation:Wu Xingjian Shi Tielin Ye Nengan Yang Shuzi
Abstract:The vibration features due to different faults in turboalternators are very important to fault diagnosis. However, since the vibration signal is a random one and the vibration feature is fuzzy in concept, the vibration feature exhibits simultaneously both randomness and fuzzi-ness. After a discussion on the vibrating feature due to commonly found faults in turboalternators, it is suggested that the vibration features be classified as variable and stable ones. By the introduction of the concept of probability for a fuzzy event, the problem of automatic formation of fault symptoms set can be transformed into one of statistical inspection on fuzzy hypothesis and the interval estimation. It is shown that the method proposed is feasible.
Keywords:generator failures  fault diagnosis  vibration analysis  statistical inspection  characteristic recognition  
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