一种改进的灰色关联算法及其在柴油机故障预测中的应用

2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2015-11-01 DOI:10.1109/ICICIP.2015.7388206

Zhenjie Yin, Bing Han, Siqi Xie

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引用次数: 2

摘要

灰色关联算法以其分类精度高、计算量小等优点在故障诊断领域受到越来越多的关注。针对相似度和接近度的不足，提出了一种改进的综合估计灰色关联算法。实验证明了改进算法的有效性，并将其应用于柴油机的故障诊断与预测。

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An improved grey correlation algorithm and its application for diesel fault prediction

Grey correlation algorithm is getting more and more attention in the field of fault diagnosis, because of the high classification accuracy and small computation. Aiming at the deficiency of similarity and proximity, this paper raises an improved grey correlation algorithm with comprehensive estimation. The effectiveness of the improved algorithm is proved by test and it is applied in the fault diagnosis and prediction of diesel engine.

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2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)

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