计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
11期
241-245
,共5页
故障诊断%故障树%模糊神经网络
故障診斷%故障樹%模糊神經網絡
고장진단%고장수%모호신경망락
fault diagnosis%fault tree%fuzzy neural network
针对变幅液压系统复杂性、不确定性、模糊性的特点，提出基于故障树的模糊神经网络作为变幅液压系统故障诊断的方法。该方法利用故障树知识提取变幅液压系统故障诊断的输入变量和输出变量，引入模糊逻辑的概念，采用模糊隶属函数来描述这些故障的程度，利用Levenberg-Marquardt优化算法对神经网络进行训练，系统推理速度快，容错能力强，并通过实例分析验证了变幅液压系统模糊神经网络故障诊断的有效性。
針對變幅液壓繫統複雜性、不確定性、模糊性的特點，提齣基于故障樹的模糊神經網絡作為變幅液壓繫統故障診斷的方法。該方法利用故障樹知識提取變幅液壓繫統故障診斷的輸入變量和輸齣變量，引入模糊邏輯的概唸，採用模糊隸屬函數來描述這些故障的程度，利用Levenberg-Marquardt優化算法對神經網絡進行訓練，繫統推理速度快，容錯能力彊，併通過實例分析驗證瞭變幅液壓繫統模糊神經網絡故障診斷的有效性。
침대변폭액압계통복잡성、불학정성、모호성적특점，제출기우고장수적모호신경망락작위변폭액압계통고장진단적방법。해방법이용고장수지식제취변폭액압계통고장진단적수입변량화수출변량，인입모호라집적개념，채용모호대속함수래묘술저사고장적정도，이용Levenberg-Marquardt우화산법대신경망락진행훈련，계통추리속도쾌，용착능력강，병통과실례분석험증료변폭액압계통모호신경망락고장진단적유효성。
For variable amplitude hydraulic system complexity, uncertainty, ambiguity, it proposes fuzzy neural network based on fault tree as a method for variable amplitude hydraulic system fault diagnosis. The method extracts fault diagnosis input and output variables of variable amplitude hydraulic system using fault tree knowledge, introducing the concept of fuzzy logic, fuzzy membership functions to describe the extent to which these failures, using fuzzy membership functions to describe the extent of these failures, using Levenberg-Marquardt algorithm to train the neural network system, getting a better performance in inference speed and fault-tolerant, and analyzing and verifying the effectiveness of variable ampli-tude hydraulic system fuzzy neural network fault diagnosis through case.
