自动化生产线中关键设备的预维护策略研究

doi:10.3901/JME.2020.21.231

机械工程学报 ›› 2020, Vol. 56 ›› Issue (21): 231-240.doi: 10.3901/JME.2020.21.231

• 数字化设计与制造 • 上一篇

扫码分享

自动化生产线中关键设备的预维护策略研究

沈南燕^1,2, 武星^1,2, 李静^1,2, 苏琨^1,2, 祝更生^1,2

1. 上海大学机电工程与自动化学院上海 200444;
2. 上海大学上海市智能制造及机器人重点实验室上海 200444

收稿日期:2019-11-25 修回日期:2020-03-19 出版日期:2020-11-05 发布日期:2020-12-19
作者简介:沈南燕,女,1982年出生,博士,副教授,博士研究生导师。主要研究方向为智能制造与机器人技术。E-mail:shny@shu.edu.cn;李静(通信作者),女,1982年出生,博士,副教授,博士研究生导师。主要研究方向为先进制造装备及磨削技术。E-mail:ian1982@shu.edu.cn
基金资助:
国家科技重大专项资助项目(2016ZX04004003)。

Research on Pre-maintenance Strategy of Key Equipment in Automatic Production Line

SHEN Nanyan^1,2, WU Xing^1,2, LI Jing^1,2, SU Kun^1,2, ZHU Gengsheng^1,2

1. School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444;
2. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200444

Received:2019-11-25 Revised:2020-03-19 Online:2020-11-05 Published:2020-12-19

摘要/Abstract

摘要： 为了避免由于设备故障导致的生产线停产,首先研究生产线故障维修成本、预防性维护成本和停产损失的计算方法,建立生产线平均可靠度与维护总成本多目标优化模型,从而获得了最优的生产线周期性维护计划。针对关键设备,如数控机床、工业机器人,运行状态突然严重劣化的情况,基于时间延迟理论得到了关键设备子系统可靠度随时间变化的规律,根据设备运行状态的监测数据,采用支持向量机模型对设备子系统潜在故障的发生概率进行预测。由此建立了关键设备延迟维护最佳时刻优化模型,并通过粒子群优化算法求解关键设备的最佳维护时刻。最后,通过实例仿真分析验证了文本预维护策略的有效性,能够在保证可靠度要求的同时,有效降低维护成本。

关键词: 生产线可靠度, 维护成本, 多目标优化, 时间延迟理论, 设备状态监测

Abstract: In order to avoid the shutdown of production line caused by equipment failures, the optimal periodic maintenance plan is firstly obtained by solving a multi-objective optimization model of average reliability and total maintenance cost of the entire production line where the costs of downtime, breakdown repair and preventive maintenance are accurately evaluated based on equipment reliability. For the sudden and severe deterioration of key equipment, such as CNC machine tool and industrial robot, time delay theory is utilized to formulate subsystem reliability of key equipment and then the potential failure probability of equipment subsystem is predicted by using Support Vector Machine according to monitoring data on equipment operating status. And thus, the optimization model of delayed maintenance time of key equipment is established and solved by particle swarm optimization to search for the optimal maintenance time of key equipment. The case study conducted by simulation analysis shows the effectiveness of the proposed pre-maintenance strategy which can ensure the reliability and minimize maintenance cost of production line.

Key words: reliability of production line, maintenance cost, multi-objective optimization, time delay theory, equipment condition monitoring

中图分类号:

TB497

沈南燕, 武星, 李静, 苏琨, 祝更生. 自动化生产线中关键设备的预维护策略研究[J]. 机械工程学报, 2020, 56(21): 231-240.

SHEN Nanyan, WU Xing, LI Jing, SU Kun, ZHU Gengsheng. Research on Pre-maintenance Strategy of Key Equipment in Automatic Production Line[J]. Journal of Mechanical Engineering, 2020, 56(21): 231-240.

参考文献

[1] TLILI L,RADHOUI M,CHELBI A,et al. Generalized reliability models and preventive maintenance policy for systems subject to competing dependent failure processes[J]. IFAC-Papers On Line,2015,48(3):2164-2169.
[2] BRIS R,CHÂTELET E,YALAOUI F. New method to minimize the preventive maintenance cost of series-parallel systems[J]. Reliability Engineering& System Safety,2003,82(3):247-255.
[3] VILARINHO S,LOPES I,OLIVEIRA J A. Preventive maintenance decisions through maintenance optimization models:a case study[J]. Procedia Manufacturing,2017,11:1170-1177.
[4] LI D,ZHANG Z,ZHONG Q,et al. Performance deterioration modeling and optimal preventive maintenance strategy under scheduled servicing subject to mission time[J]. Chinese Journal of Aeronautics,2014,27(4):821-828.
[5] 肖雷.基于剩余寿命预测信息和生产调度的关键传动部件维护决策优化研究[D].重庆:重庆大学,2016. XIAO Lei. Research on optimization of maintenance decision of key transmission parts based on residual life prediction information and production scheduling[D]. Chongqing:Chongqing University,2016.
[6] 李有堂,刘建松,李晶.基于产品检测的串联多设备预防性维护策略[J].兰州理工大学学报,2019,45(1):34-37. LI Youtang,LIU Jiansong,LI Jing. Preventive maintenance strategy of series multi-device based on product detection[J]. Journal of Lanzhou University of Technology,2019,45(1):34-37.
[7] SIDIBE I,KATHAB A,ADJALLAH K. Reliability and preventive maintenance analysis of Weibull distributed lifetime systems[J]. IFAC Proceedings Volumes,2013,46(7):306-311.
[8] CANIZO M,ONIEVA E,CONDE A,et al. Real-time predictive maintenance for wind turbines using big data frameworks[C]//2017 IEEE International Conference on Prognostics and Health Management (ICPHM). IEEE,2017:70-77.
[9] SOBRAL J,SOARES C G. Preventive maintenance of critical assets based on degradation mechanisms and failure forecast[J]. IFAC-Papers On Line,2016,49(28):97-102.
[10] 王灵芝,徐宇工,张家栋.基于设备有效度和可靠度的预防修经济优化模型[J].机械工程学报,2010,46(4):167-172. WANG Lingzhi,XU Yugong,ZHANG Jiadong. Economic optimization model of preventive maintenance based on equipment effectiveness and reliability[J]. Journal of mechanical engineering,2010,46(4):167-172.
[11] 袁锴.基于延迟时间模型的不完备检查间隔计算方法研究[J].科技展望,2016,26(19):126-127. YUAN Kai. Research on calculation method of incomplete inspection interval based on delay time model[J]. Science and Technology Outlook,2016,26(19):126-127.
[12] 张民悦,李丹丹.基于混合故障率的并联系统预防维修优化及其仿真[J].四川理工学院学报,2014,27(2):87-90. ZHANG Minyue,LI Dandan. Preventive maintenance optimization and simulation of parallel system based on mixed failure rate[J]. Journal of Sichuan University of Science and Technology,2014,27(2):87-90.
[13] NOORTWIJK J M V. A survey of the application of gamma processes in maintenance[J]. Reliability Engineering& System Safety,2009,94(1):2-21.
[14] HUANG C,WANG P,PANG W,et al. The performance analysis of multi-hop MIMO free space optical communications with space-time block codes over exponentiated Weibull fading channels[J]. Optics Communications,2019,442:95-100.
[15] YANG Q,YANG Q,YAN W,et al. PSO based LS-SVM approach for fault prediction of primary air fan[C]//2015 Chinese Automation Congress (CAC). IEEE,2015:75-80.
[16] WANG J,KUMBASAR T. Parameter optimization of interval type-2 fuzzy neural networks based on PSO and BBBC methods[J]. IEEE/CAA Journal of Automatica Sinica,2019,6(1):250-260.
[17] LU X,WANG W,YANG H,et al. Optimizing the periodic inspection interval for a 1 out of 2 cold standby system using the delay-time concept[J]. Quality and Reliability Engineering International,2012,28(6):648-662.
[18] Van OOSTEROM C D,ELWANY A H,ÇELEBI D,et al. Optimal policies for a delay time model with postponed replacement[J]. European Journal of Operational Research,2014,232(1):186-197.
[19] 夏唐斌,奚立峰,周晓军,等.串并联衰退系统的多目标预防性维护优化建模[J].计算机集成制造,2010,16(4):783-788. XIA Tangbin,XI Lifeng,ZHOU Xiaojun,et al. Multi objective preventive maintenance optimization modeling of series parallel recession system[J]. Computer Integrated Manufacturing System,2010,16(4):783-788.
[20] ZHOU X,LU Z,XI L. Preventive maintenance optimization for a multi-component system under changing job shop schedule[J]. Reliability Engineering& System Safety,2012,101:14-20.

自动化生产线中关键设备的预维护策略研究

Research on Pre-maintenance Strategy of Key Equipment in Automatic Production Line

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	周晨, 徐飞翔. 四轮独立转向车辆转向模式切换轨迹多目标优化方法研究[J]. 机械工程学报, 2024, 60(6): 306-320.
[2]	柴依扬, 张乐乐, 窦伟元, 张海峰. 基于并行NSGA-III算法的高速列车车体侧墙结构高维多目标优化[J]. 机械工程学报, 2024, 60(6): 321-333.
[3]	苏建涛, 董绍华, 朱诗敏. 多目标混合流水车间机器故障重调度问题研究[J]. 机械工程学报, 2024, 60(4): 438-448.
[4]	唐红涛, 魏书鹏, 李西兴, 雷德明, 汪开普. 考虑排队因素的多车型车辆配置与路径协同优化[J]. 机械工程学报, 2024, 60(4): 458-472.
[5]	吕利叶, 鲁玉军, 王硕, 刘印, 李昆鹏, 宋学官. 代理模型技术及其应用：现状与展望[J]. 机械工程学报, 2024, 60(3): 254-281.
[6]	王旭, 姜兴宇, 杨国哲, 孙猛, 于沈弘, 毕凯航, 赵日铮, 刘伟军. 基于PSO-SSA的激光清洗装备人机界面布局优化研究[J]. 机械工程学报, 2024, 60(20): 372-387.
[7]	熊瑞, 李正阳, 燕润博, 杨瑞鑫. 全气候自热锂离子电池及低温极速加热策略研究[J]. 机械工程学报, 2024, 60(18): 247-257.
[8]	梁旭, 张建勇, 李国涛, 苏婷婷, 何广平, 侯增广. 面向骨折复位手术的冗余并联机构：设计、建模与性能分析[J]. 机械工程学报, 2024, 60(17): 133-146.
[9]	王洪亮, 雍健羽, 皮大伟, 谢伯元, 王尔烈, 王显会. 基于贝塞尔曲线和多目标优化方法的多车队形切换轨迹规划[J]. 机械工程学报, 2024, 60(16): 270-279.
[10]	赵峰, 胡伟飞, 李光, 邓晓豫, 刘振宇, 郭云飞, 谭建荣. 基于混合指标自适应采样代理模型的多目标优化设计方法[J]. 机械工程学报, 2024, 60(13): 81-91.
[11]	王娟, 刘美红, 祝世兴, 陈文博, 李遇贤, 孙军锋. 指尖密封结构参数的多目标混合教与学优化方法[J]. 机械工程学报, 2023, 59(9): 157-170.
[12]	张新彤, 张成明, 李立毅, 傅鹏睿. 电推进用高效轻质永磁同步电机的设计方法[J]. 机械工程学报, 2023, 59(8): 181-195.
[13]	刘伟军, 索英祁, 姜兴宇, 田志强, 张栋, 杨国哲, 王弘玥, 韩清冰. 激光清洗过程低碳建模与工艺参数优化[J]. 机械工程学报, 2023, 59(7): 276-294.
[14]	王亚良, 高康洪, 范欣宇, 金寿松. 面向不确定性的车间布局调度集成建模与优化[J]. 机械工程学报, 2023, 59(5): 235-246.
[15]	徐弓岳, 冯泽民, 郭二廓. 正铲液压挖掘机三副摇杆工作机构的超多目标优化设计[J]. 机械工程学报, 2023, 59(3): 54-65.