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多层传递函数的量子神经网络在汽轮机故障诊断中的应用
引用本文:陈平,谢志江,欧阳奇. 多层传递函数的量子神经网络在汽轮机故障诊断中的应用[J]. 动力工程, 2007, 27(4): 569-572
作者姓名:陈平  谢志江  欧阳奇
作者单位:重庆大学,机械传动国家重点实验室,重庆,400044
摘    要:针对汽轮机故障分类边界的模糊性和故障模式之间存在交叉数据的诊断不确定问题,将多层传递函数的量子神经网络用于汽轮机发电机组的故障诊断,提出了量子神经网络的学习算法.以某热电厂汽轮机组被确诊的不对中故障为例,证明了这一方法的有效性.

关 键 词:能源与动力工程  汽轮机  量子神经网络  模糊  故障诊断
文章编号:1000-6761(2007)04-569-04
修稿时间:2006-07-152006-12-05

Application of Quantum Neural Network Based on Multilevel Transfer Functions in Fault Diagnosis of Steam Turbine Sets
CHEN Ping,XIE Zhi-jiang,OUYANG Qi. Application of Quantum Neural Network Based on Multilevel Transfer Functions in Fault Diagnosis of Steam Turbine Sets[J]. Power Engineering, 2007, 27(4): 569-572
Authors:CHEN Ping  XIE Zhi-jiang  OUYANG Qi
Affiliation:National Key Lab. of Mechanical Transmissions, Chongqing University, Chongqing 400044, China
Abstract:Focusing on the fuzziness problem of fault classification borders, and on the diagnostic uncertainty of overlapping data, the application of quantum neural networks, based on multilevel transfer functions, for fault diagnoses of steam turbo-generator sets is being proposed, together with the pertinent training algorithm, The validity of this method is verified by the example of a diagnosed misalignment defect that occurred to one steam turbo-generator set in a certain power plant.
Keywords:energy and power engineering   steam turbine    quantum neural network    fuzziness    fault diagnosis
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