基于可靠性的设备维修计算机辅助决策系统研究
|
摘要
随着工业的快速发展,定期维修所忽略的问题逐步暴露,这样的维修方式己经不能满足我国企业的要求。维修优化在现代工业一直发挥着重要作用,它用于提高设备的可靠性,降低维修运行费用。因此,维修优化多年来一直是维修管理领域最活跃的研究课题之一。在众多的维修优化方法中,以可靠性为中心的维修(Reliability-centered Maintenance,简称RCM)是目前国外最广泛采用的维修优化方法。
本文从维修优化发展历程出发,阐述了RCM在工业应用的必然。并在介绍RCM发展历史和在国外工业领域应用情况的基础上,通过RCM方法研究,将RCM分析过程与实际维修过程结合,建立一套基于可靠性的设备维修优化决策流程和数学模型,以及详细的系统运作过程,开发一套基于可靠性的设备维修计算机辅助决策软件。
最后以宝钢1880步进加热炉为例,结合设备的资产数据以及历史维修数据,加热炉业务的实际情况,利用本文开发的基于可靠性的设备维修计算机辅助决策软件,分析计算关键设备的最佳预防性维修周期,制定出具体的维修计划。
With the rapid development of industrials, the problems of schedule maintenance, which method has not been able to meet demands of factories in our country, are beginning to appear. The optimization for maintenance are paying a significant role in the modern industrial, improving the reliability of plants and saving cost of maintenance and operation. Thus, the optimization for maintenance is always one of the most important and active parts in the maintenance management fields. Considering many a method used in the optimization for maintenance, reliability-centered maintenance (RCM) is the most popular one used home and abroad.
Based on the history of development of the optimization for maintenance, the thesis accounts for the reason why it is necessary that RCM is used in industrial. During this process, the thesis states the applications of RCM abroad. Then, the analysis process of RCM and the process of practical maintenance are combined according to RCM theory. We point out the math model and decision process of the optimization for plant’s maintenance based on reliability theory. After then, the software program is developed to support decision processes.
Finally, according to data about plant’s capital, maintenance records and practical conditions and taking use of the decision support system, the thesis takes No. 1880 furnace of Baosteel Group as an example, analyses the optimization cycle of predictive maintenance and forms the special maintenance plan.
本文从维修优化发展历程出发,阐述了RCM在工业应用的必然。并在介绍RCM发展历史和在国外工业领域应用情况的基础上,通过RCM方法研究,将RCM分析过程与实际维修过程结合,建立一套基于可靠性的设备维修优化决策流程和数学模型,以及详细的系统运作过程,开发一套基于可靠性的设备维修计算机辅助决策软件。
最后以宝钢1880步进加热炉为例,结合设备的资产数据以及历史维修数据,加热炉业务的实际情况,利用本文开发的基于可靠性的设备维修计算机辅助决策软件,分析计算关键设备的最佳预防性维修周期,制定出具体的维修计划。
With the rapid development of industrials, the problems of schedule maintenance, which method has not been able to meet demands of factories in our country, are beginning to appear. The optimization for maintenance are paying a significant role in the modern industrial, improving the reliability of plants and saving cost of maintenance and operation. Thus, the optimization for maintenance is always one of the most important and active parts in the maintenance management fields. Considering many a method used in the optimization for maintenance, reliability-centered maintenance (RCM) is the most popular one used home and abroad.
Based on the history of development of the optimization for maintenance, the thesis accounts for the reason why it is necessary that RCM is used in industrial. During this process, the thesis states the applications of RCM abroad. Then, the analysis process of RCM and the process of practical maintenance are combined according to RCM theory. We point out the math model and decision process of the optimization for plant’s maintenance based on reliability theory. After then, the software program is developed to support decision processes.
Finally, according to data about plant’s capital, maintenance records and practical conditions and taking use of the decision support system, the thesis takes No. 1880 furnace of Baosteel Group as an example, analyses the optimization cycle of predictive maintenance and forms the special maintenance plan.
引文
[1] J.莫布雷.以可靠性为中心的维修[M].机械工业出版社.
[2]贾希胜.以可靠性为中心的维修决策模型[M].国防工业出版社,2007.
[3]董玉亮.发电设备运行与维修决策支持系统研究.华北电力大学博士学位论.
[4]秦英孝.可靠性维修性保障性概论[M ].北京:国防工业出版社, 2002.
[5]贾希胜等.以可靠性为中心的维修(RCM )发展动态.军械工程学院学报, 2002.
[6]訾秀玲等. Access数据库技术及应用教程.北京:清华大学出版社, 2007.
[7]童晟.基于RCM理论的工业设备维修策略和维修管理系统研究.浙江大学硕士学位论.
[8]葛哲学.精通MATLAB[M].北京:电子工业出版社, 2008.
[9]贾希胜,贾云献,温亮.以可靠性为中心的维修及其模型支持[J].军械工程学院学报,2004,16(1):15-18.
[10]程中华,贾云献.基于C/S模式的RCM分析决策系统的设计与实现[J].计算机工程,2004,30(13):174-177.
[11]张杰彬. RCM建模研究[D].石家庄:军械工程学院,2001.
[12]朱大奇.航空电子设备故障诊断技术研究[D].南京航空航天大学,2002.
[13]业成,黄文虎.故障树结构重要度分析中的模式识别方法.南京化工大学学报,1999,21(1):65—67.
[14]朱大奇,于盛林,陈小平.基于故障树分析及虚拟仪器的电子部件故障诊断技术研究.仪器仪表学报,2002年,第1期.
[15]苏秦.质量管理与可靠性[M].北京:机械工业出版社,2006.
[16]李葆文.简明现代设备管理手册[M].北京:机械工业出版社,2004.
[17] Visual C++ 6.0 MFC类库参考手册.北京:人民邮电出版社,2002.
[18] Lin D, Zuo MJ, Yam RCM. General sequential imperfect preventive maintenance models. Int J Reliab Qual Saf Eng, 2000(07): 253-266.
[19] Canfield RV. Coast optimization of periodic preventive maintenance [J]. IEEE Trans Reliab, 1986(35): 78-81.
[20] Lie CH, Chun YH. An algorithm for maintenance policy [J]. IEEE Trans Reliab, 1988(37): 295-298.
[21] Valdez-Flores, C,and Feldman, R.M.,A survey of preventive maintenance models for stochastically deteriorating single-unit systems [J]. Naval Research Logistics Quarterly 36(1989)419-446.
[22] Barlow R,Hunter L. Optimum preventive maintenance Policies [J].European Journal of Operational Research,1960(08):90-100.
[23] R. Pascuala,J. H. Ortegab. Optimal replacement and overhaul decisions with imperfect maintenance and warranty contracts [J]. Reliability Engineering and System Safety,2006(91):241-48.
[24] Nakagawa T. Sequential imperfect preventive maintenance policies [J]. IEEE Trans Reliab,1988(37):295-298.
[25] CanfieldR V. Cost optimization of periodic preventive maintenance [J]. IEEE Trans Reliab,1986(35):78-81.
[2]贾希胜.以可靠性为中心的维修决策模型[M].国防工业出版社,2007.
[3]董玉亮.发电设备运行与维修决策支持系统研究.华北电力大学博士学位论.
[4]秦英孝.可靠性维修性保障性概论[M ].北京:国防工业出版社, 2002.
[5]贾希胜等.以可靠性为中心的维修(RCM )发展动态.军械工程学院学报, 2002.
[6]訾秀玲等. Access数据库技术及应用教程.北京:清华大学出版社, 2007.
[7]童晟.基于RCM理论的工业设备维修策略和维修管理系统研究.浙江大学硕士学位论.
[8]葛哲学.精通MATLAB[M].北京:电子工业出版社, 2008.
[9]贾希胜,贾云献,温亮.以可靠性为中心的维修及其模型支持[J].军械工程学院学报,2004,16(1):15-18.
[10]程中华,贾云献.基于C/S模式的RCM分析决策系统的设计与实现[J].计算机工程,2004,30(13):174-177.
[11]张杰彬. RCM建模研究[D].石家庄:军械工程学院,2001.
[12]朱大奇.航空电子设备故障诊断技术研究[D].南京航空航天大学,2002.
[13]业成,黄文虎.故障树结构重要度分析中的模式识别方法.南京化工大学学报,1999,21(1):65—67.
[14]朱大奇,于盛林,陈小平.基于故障树分析及虚拟仪器的电子部件故障诊断技术研究.仪器仪表学报,2002年,第1期.
[15]苏秦.质量管理与可靠性[M].北京:机械工业出版社,2006.
[16]李葆文.简明现代设备管理手册[M].北京:机械工业出版社,2004.
[17] Visual C++ 6.0 MFC类库参考手册.北京:人民邮电出版社,2002.
[18] Lin D, Zuo MJ, Yam RCM. General sequential imperfect preventive maintenance models. Int J Reliab Qual Saf Eng, 2000(07): 253-266.
[19] Canfield RV. Coast optimization of periodic preventive maintenance [J]. IEEE Trans Reliab, 1986(35): 78-81.
[20] Lie CH, Chun YH. An algorithm for maintenance policy [J]. IEEE Trans Reliab, 1988(37): 295-298.
[21] Valdez-Flores, C,and Feldman, R.M.,A survey of preventive maintenance models for stochastically deteriorating single-unit systems [J]. Naval Research Logistics Quarterly 36(1989)419-446.
[22] Barlow R,Hunter L. Optimum preventive maintenance Policies [J].European Journal of Operational Research,1960(08):90-100.
[23] R. Pascuala,J. H. Ortegab. Optimal replacement and overhaul decisions with imperfect maintenance and warranty contracts [J]. Reliability Engineering and System Safety,2006(91):241-48.
[24] Nakagawa T. Sequential imperfect preventive maintenance policies [J]. IEEE Trans Reliab,1988(37):295-298.
[25] CanfieldR V. Cost optimization of periodic preventive maintenance [J]. IEEE Trans Reliab,1986(35):78-81.