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基于并行组合模拟退火算法的水泵汽蚀初生故障识别
引用本文:苏永生,张永祥,明廷锋.基于并行组合模拟退火算法的水泵汽蚀初生故障识别[J].武汉理工大学学报(交通科学与工程版),2008,32(6).
作者姓名:苏永生  张永祥  明廷锋
作者单位:海军工程大学船舶与动力学院,武汉,430033
基金项目:国防"十一·五"预研项目资助  
摘    要:针对水泵汽蚀初始阶段故障信号微弱,检测困难的特点,提出一种基于并行组合模拟退火算法对水泵"汽蚀初生"故障进行识别.阐述了算法的原理和实现方法,通过设计的实验台模拟水泵"汽蚀初生"故障,并获取了正常与模拟故障状态下水泵壳体的振动与出口压力信号的特征参数.利用该算法将上述特征参数自组织、自生成新的特征参数,达到了识别的目的.

关 键 词:汽蚀  模拟退火  遗传算法  特征参数  故障识别

Application of Parallel Recombination Simulated Annealing Algorithms in Recognition of Inception Cavitation Fault
Su Yongsheng,Zhang Yongxiang,Ming Tingfeng.Application of Parallel Recombination Simulated Annealing Algorithms in Recognition of Inception Cavitation Fault[J].journal of wuhan university of technology(transportation science&engineering),2008,32(6).
Authors:Su Yongsheng  Zhang Yongxiang  Ming Tingfeng
Institution:College of Naval Architecture and Marine Power;Naval University of Engineering;Wuhan 430033
Abstract:Due to the signal fault faintness and detection hard at the inception of pump cavitation,a new method named Parallel Recombination Simulated Annealing Algorithms is introduced.The principle and operation of the algorithm are presented at first.The characteristic parameters of the crust vibration and outer pressure signal on normal and fault conditions are extracted and analyzed based on the test bed to simulate the fault of pump cavitation,and then the new characteristic parameters are obtained by them usin...
Keywords:cavitation  simulated annealing  genetic algorithm  characteristic parameter  fault identification  
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