工程科学学报2017，Vol.39Issue(7)：1094-1100,7.DOI:10.13374/j.issn2095-9389.2017.07.016
旋转机械设备状态预警与维修优化
State pre-warning and optimization for rotating-machinery maintenance
摘要
Abstract
Maintenance of rotating machinery has significant practical implications for preserving the service condition and quality of products.Moreover, it directly affects the economic efficiency of enterprises.Although frequent maintenance can preserve the condition and quality of products, it can increase the cost of enterprises.Conversely, long intervals in maintenance can prove to be economical but would not ensure the desired condition and quality.This study presented a real-time maintenance strategy which was based on condition assessment using the fuzzy C-means method and the kurtosis index.Changes in the kurtosis index can be monitored to successfully capture the features of early faults.The performance condition was assessed using the fuzzy C-means method, and the result was considered as the reliability of the equipment.Enterprise-efficiency optimization was regarded as a proposed criterion to make a real-time maintenance recommendation.The result of analyzing data from a steel enterprise shows that this real-time maintenance strategy is more suitable for the management of on-site equipments.Moreover, it reduces the monitoring cost, thereby obtaining increased enterprise benefit.关键词
维修策略优化/状态预警/峭度指标/模糊C均值/经济效益Key words
maintenance strategy optimization/state pre-warning/kurtosis index/fuzzy C-means/economic performance分类
机械制造引用本文复制引用
章立军,荣银龙,刘凯,张彬..旋转机械设备状态预警与维修优化[J].工程科学学报,2017,39(7):1094-1100,7.基金项目
国家重点研发计划项目(2016YFF0203804) （2016YFF0203804）
国家自然科学基金资助项目(51005015) （51005015）
中央高校基本科研业务费资助项目(FRF-TP-15-010A3) （FRF-TP-15-010A3）
