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阴性选择算法在工业控制系统故障诊断中的应用
引用本文:牛慧峰,姜万录,王文杰.阴性选择算法在工业控制系统故障诊断中的应用[J].燕山大学学报,2008,32(4).
作者姓名:牛慧峰  姜万录  王文杰
作者单位:1. 燕山大学重型机械流体动力传输与控制河北省重点实验室,河北,秦皇岛,066004
2. 大庆艺朗司特石油
基金项目:国家自然科学基金,河北省教育厅博士科研项目
摘    要:受生物免疫系统的启发,把免疫原理应用到故障诊断领域.分析了现有阴性选择算法在故障诊断应用中的不足之处,提出了改进后的阴性选择算法.介绍了田纳西-伊斯曼(TEP)过程仿真系统,用改进后的阴性选择算法对该系统的21种故障样本进行仿真试验,各故障的平均检出率达到85%以上,验证了此算法在工业控制系统故障诊断中的有效性.

关 键 词:阴性选择算法  故障诊断  田纳西-伊斯曼过程  人工免疫系统

Application of negative selection algorithm in fault diagnosis for industrial control system
NIU Hui-feng,JIANG Wan-lu,WANG Wen-jie.Application of negative selection algorithm in fault diagnosis for industrial control system[J].Journal of Yanshan University,2008,32(4).
Authors:NIU Hui-feng  JIANG Wan-lu  WANG Wen-jie
Institution:NIU Hui-feng 1,JIANG Wan-lu 1,WANG Wen-jie 2 (1. The Key Laboratory of Heavy Machinery Fluid Power Transmission & Control,Yanshan University,Qinhuangdao,Hebei 066004,China,2. Daqing Iranst Special Oil Pipelines Co. Ltd.,Daqing,Heilongjiang 163100,China)
Abstract:Inspired by artificial immune system, the immune principle is applied to the fault diagnosis field. The improved negative selection algorithm was expatiated, after analyzing the shortcoming of the existent negative selection algorithm. The simulated sys-tem for Tennessee Eastman Process was introduced and the 21 fault samples of this system were diagnosed using the improved nega-tive selection algorithm. The correct rate of the diagnosis is above 85%. It is proved that the improved algorithm is valid to dia...
Keywords:negative selection algorithm  fault diagnosis  Tennessee Eastman Process  artificial immune system  
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