基于两种视觉方法的车用柴油机环胶故障识别

Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257) Pub Date : 1999-09-06 DOI:10.1109/IVEC.1999.830669

Z. Yu, Zhang Zhipei

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引用次数: 3

摘要

本文将二进小波图和庞加莱图像两种视觉度量方法应用于某四缸车用柴油机机体首次压缩环粘接状态下的一系列时域数据的故障识别。结果表明，该方法具有较好的故障识别能力。

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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The identification based on the two visual measures for ring gumming fault in vehicle diesel engine

In this paper, two visual measures-the dyadic wavelet chart and Poincare image-are applied to the fault identification for a series of time domain data obtained from a four-cylinder vehicle diesel engine block in the condition of first compressing ring gumming. The results show that the measures have the capacity of identifying faults successfully.

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Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)

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