工程科学学报，第39卷，第7期：1094-1100,2017年7月 Chinese Journal of Engineering,Vol.39,No.7:1094-1100,July 2017 D0l:10.13374/j.issn2095-9389.2017.07.016:http://journals..ustb.edu.cn 旋转机械设备状态预警与维修优化 章立军D四，荣银龙”，刘凯”，张彬2 1)北京科技大学国家材料服役安全科学中心，北京1000832)重庆邮电大学先进制造工程学院，重庆400065 区通信作者，E-mail:lizhange@usth.edu.cn 摘要旋转机械设备的维修策略对于维护机械设备运行状态，保障产品生产质量有着重要意义，并且直接影响企业经济效 益.频繁维修虽可以保障设备状态，但随之会带来高昂的维修成本：检修周期过长虽然可以降低维修次数，减少维修成本，但 是设备状态却难以保证.本文提出了一种基于峭度指标的故障预警方法以及基于模糊C均值方法的实时维修策略优化方 法.通过监测峭度指标变化，可以成功捕捉机械设备的早期故障特征，再使用模糊C均值方法，评估设备状态，将其结果视为 设备运行可靠性指标，根据企业效益最优化的维修建议准则，对设备的维修策略做出实时建议.对某钢厂的设备状态监测数 据分析验证，结果表明，本文提出的基于实时维修策略优化方法的维修建议更加适用于现场设备的管理，节约了监测成本，使 得企业效益更优 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 分类号TH165.3 State pre-warning and optimization for rotating-machinery maintenance ZHANG Lijun,RONG Yin-ong",LIU Kai,ZHANG Bin2 1)National Center for Materials Service Safety,University of Science and Technology Beijing,Beijing 100083,China 2)School of Advanced Manufacturing Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China Corresponding author,E-mail:lizhang@ustb.edu.cn 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 con- dition and quality of products,it can increase the cost of enterprises.Conversely,long intervals in maintenance can prove to be eco- nomical 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 re- sult 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 in- creased enterprise benefit. KEY WORDS maintenance strategy optimization:state pre-warning:kurtosis index:fuzzy C-means:economic performance 随着工业技术的不断发展，各种先进的生产设备 有得到及时维修和预警的话，对生产线甚至是整个企 向大型化和复杂化方向发展，与此同时，设备的服役环业都会带来非常严重的经济损失，还可能导致人 境也更加苛刻.一旦某台设备运行状态恶化，如果没 员伤亡并产生恶劣的社会影响 收稿日期：2016-07-19 基金项目：国家重点研发计划项目(2016YF0203804):国家自然科学基金资助项目(51005015)：中央高校基本科研业务费资助项目(FRF一 TP-15-010A3)工程科学学报，第 39 卷，第 7 期: 1094--1100，2017 年 7 月 Chinese Journal of Engineering，Vol． 39，No． 7: 1094--1100，July 2017 DOI: 10． 13374 /j． issn2095--9389． 2017． 07． 016; http: / /journals． ustb． edu． cn 旋转机械设备状态预警与维修优化 章立军1) ，荣银龙1) ，刘 凯1) ，张 彬2) 1) 北京科技大学国家材料服役安全科学中心，北京 100083 2) 重庆邮电大学先进制造工程学院，重庆 400065 通信作者，E-mail: ljzhang@ ustb． edu． cn 摘 要 旋转机械设备的维修策略对于维护机械设备运行状态，保障产品生产质量有着重要意义，并且直接影响企业经济效 益． 频繁维修虽可以保障设备状态，但随之会带来高昂的维修成本; 检修周期过长虽然可以降低维修次数，减少维修成本，但 是设备状态却难以保证． 本文提出了一种基于峭度指标的故障预警方法以及基于模糊 C 均值方法的实时维修策略优化方 法． 通过监测峭度指标变化，可以成功捕捉机械设备的早期故障特征，再使用模糊 C 均值方法，评估设备状态，将其结果视为 设备运行可靠性指标，根据企业效益最优化的维修建议准则，对设备的维修策略做出实时建议． 对某钢厂的设备状态监测数 据分析验证，结果表明，本文提出的基于实时维修策略优化方法的维修建议更加适用于现场设备的管理，节约了监测成本，使 得企业效益更优． 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 分类号 TH165 + . 3 State pre-warning and optimization for rotating-machinery maintenance ZHANG Li-jun1)  ，ＲONG Yin-long1) ，LIU Kai1) ，ZHANG Bin2) 1) National Center for Materials Service Safety，University of Science and Technology Beijing，Beijing 100083，China 2) School of Advanced Manufacturing Engineering，Chongqing University of Posts and Telecommunications，Chongqing 400065，China Corresponding author，E-mail: ljzhang@ ustb． edu． cn 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 con￾dition and quality of products，it can increase the cost of enterprises． Conversely，long intervals in maintenance can prove to be eco￾nomical 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 re￾sult 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 in￾creased enterprise benefit． KEY WOＲDS maintenance strategy optimization; state pre-warning; kurtosis index; fuzzy C-means; economic performance 收稿日期: 2016--07--19 基金项目: 国家重点研发计划项目( 2016YFF0203804) ; 国家自然科学基金资助项目( 51005015) ; 中央高校基本科研业务费资助项目( FＲF-- TP--15--010A3) 随着工业技术的不断发展，各种先进的生产设备 向大型化和复杂化方向发展，与此同时，设备的服役环 境也更加苛刻． 一旦某台设备运行状态恶化，如果没 有得到及时维修和预警的话，对生产线甚至是整个企 业都会带来非常严重的经济损失［1--2］，还可能导致人 员伤亡并产生恶劣的社会影响．