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基于自适应神经模糊推理系统的柴油机故障诊断与探析 被引量:3

Diagnosis Analysis of Adaptive Nervous Fuzzy Inference System of Diesel Engine Faults
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摘要 随着科学技术的发展,对机器故障的诊断和治理的方法也不断推新。在解决柴油机故障问题的过程中,采用ANFIS(自适应神经模糊推理系统)作为诊断分析系统是十分有效的,还可以根据其构建起有效的诊断模型;但是,故障的实际诊断值与模型的既定识别值存在一定的误差,影响了故障诊断效果。本文主要结合ANFIS理论,对柴油机故障诊断进行了详细探究与讨论。 With the development of science and technology,diagnosis and treatment methods for machine fault have got-ten greatly improvements,in the process of solving problems in diesel engine fault diagnosis,ANFIS as a diagnosis system is very effective.In addition,effective diagnosis model can be built according to the system,but the actual value of fault di-agnosis of certain error and model identification value exit some errors,influenced the ability of fault diagnosis.In the pa-per,detailed discussion an research were done combined with ANFIS theory.
作者 王秋鹏
出处 《新技术新工艺》 2014年第7期126-129,共4页 New Technology & New Process
关键词 柴油机 模型 自适应神经模糊推理系统 diesel engine,model,adaptive her vous fuzzy inference system(ANFIS)
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