基于人工神经网络的发动机气缸故障诊断方法

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2008-12-12 DOI:10.1109/CSSE.2008.1409

L. Jianmin, Qiao Xinyong

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引用次数: 2

摘要

测量了柴油机的瞬时转速，分析了转速信号诊断故障的机理。采用频谱分析和复杂度分析的方法对转速信号进行处理，分析了错缸情况下转速的变化规律。计算转速信号的复杂度[K,C]，得到错缸故障的特征。建立了BP神经网络诊断柴油机错缸故障的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Method for Diagnosing the Cylinder Fault of Engine Based on Artificial Neural Network

Measured the instantaneous speed of diesel engine and analyzed the mechanism of fault diagnosis with speed signal. Processed the speed signal with method of spectrum analysis and complexity analysis and analyzed the change law of speed in condition of mis-cylinder. Calculated [K,C] complexity of speed signal and got the features of mis-cylinder fault. Set up a BP neural network to diagnose mis-cylinder fault of diesel engine.

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来源期刊

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)

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