一种改进的灰色关联算法及其在故障预报中的应用  

Improved Grey Association Algorithm and its Application in Fault Prognosing

作　　者：尹振杰 韩冰[1] 张敏[1] 

机构地区：[1]上海船舶运输科学研究所航运技术与安全国家重点实验室,上海200135

出　　处：《中国航海》2015年第4期26-30,共5页Navigation of China

基　　金：上海市青年科技启明星计划资助项目(15QB1400800)

摘　　要：灰色关联算法因其具有分类精度高、计算量小的优点而在故障诊断研究领域得到越来越广泛的关注。针对一般灰色关联算法在相近性和相似性方面的不足,提出一种基于相近性与相似性加权平均的改进灰色关联算法。通过试验验证该算法的有效性,并将其应用于柴油机的故障分析和预测中。Grey association algorithm is getting more and more attention in the field of fault diagnosis because of its high classification accuracy and relatively low computing load. Aiming to improving similarity and proximity of Grey association algorithm,an improved algorithm with comprehensive estimation is raised. The effectiveness of the improved algorithm is proved by tests,and the application of the algorithm in the fault diagnosis and prognosing of diesel engines is investigated.

关 键 词：船舶工程 灰色关联算法 基于相近行与相似性加权平均 关联度分析 故障预测 

分 类 号：N941.5[自然科学总论—系统科学] TP277[自动化与计算机技术—检测技术与自动化装置]