Computer Science ›› 2017, Vol. 44 ›› Issue (9): 17-22, 33.doi: 10.11896/j.issn.1002-137X.2017.09.003

Previous Articles     Next Articles

Analysis of Equipment PHM Architecture Based on Condition Maintenance

YANG Sen   

  • Online:2018-11-13 Published:2018-11-13

Abstract: In order to push the autonomic concept of equipment and improve the integrated logistics support ability of electronic equipment,a establishment scheme of electronic equipment PHM based on condition maintenance was proposed.After analyzing the content and function of PHM,the PHM system architecture was studied from three dimensions:data information dimension,model dimension and life cycle dimension.Based on open Architecture PHM,the electronic equipment PHM architecture based on condition maintenance was constructed,and the implementation technology of the system was discussed.Finally,a PHM strategy design of a certain equipment simulation training and testing system reveales that the proposed scheme is effective.

Key words: Condition maintenance,Integrated support,PHM architecture

[1] 孙智信,李自力.世界电子信息装备[M].北京:国防科技出版社,2001:15-28.
[2] KIRY K,KEITH S,EMIL S,et al.A process and tool for determining the cost benefit of prognostic applications[C]∥2001 IEEE AUTOTESTCON Proceedings of Systems Readiness Technology Conference.2001:532-544.
[3] BOB B,ANDY H,LEO F.Writing a convincing cost benefitanalysis to substantiate autonomic logistics[C]∥2001 IEEE Proceedings of Aerospace Conference.2001:3095-3103.
[4] ZHANG B Z,WANG P,et al.Overview of Oversea Prognostics and Health Management Technologies Development Project[J].Computer Measurement & Control,2016,4(6):1-7.(in Chinese) 张宝珍,王萍,等.国外飞机预测与健康管理技术发展计划综述[J].计算机测量与控制,2016,4(6):1-7.
[5] GAO Q Y,QIAN H Y.Aero-engine Prognostic Health Management(PHM) Technology[J].Measurement & Control Techno-logy,2013,32(增刊):220-223.(in Chinese) 高秋颖,钱红余.航空发动机预测与健康管理(PHM)技术[J].测控技术,2013,32(增刊):220-223.
[6] HESS A,FILA L.The joint strike fighter (JSF) PHM concept:potential impact on aging aircraft problems [C]∥Proceedings of IEEE Aerospace Conference.2002:3021-3026.
[7] HERNANDEZ L.EHM Framework Description & BreakoutSession Introduction [R].NDIA Enterprise Health Management Workshop,2009.
[8] JING B,XU G Y,et al.Recent advances analysis and new problems research on PHM technology of military aircraft[J].Journal of Electronic Measurement and Instrumentation,2017,1(2):161-169.(in Chinese) 景博,徐光跃,等.军用飞机PHM技术进展分析及问题研究[J].电子测量与仪器学报,2017,1(2):161-169.
[9] AN Y L.Key Technology of Design for Diagnostics to Integra-ted Diagnosis for Equipment[D].Shijiazhuang:Ordnance Engineering College,2009:2-9.(in Chinese) 安幼林.面向综合诊断的装备诊断设计关键技术研究[D].石家庄:军械工程学院,2009:2-9.
[10] ZHANG B Z,ZENG T X.PHM:The Key Enabler to F-35’s Affordability[J].Avoatopm Maintenance & Engineering,2005(6):20-23.(in Chinese) 张宝珍,曾天翔.PHM:实现F-35经济可承受性目标的关键使能技术[J].航空维修工程,2005(6):20-23.
[11] 石君友,田仲.测试性设计分析与验证[M].北京:国防工业出版社,2011.
[12] LI A J,ZHANG W G,TAN J.Survey on aircraft health mana-gement technology[J].Electronics Optics & Control,2007,4(3):78-84.(in Chinese) 李爱军,章卫国,谭键.飞行器健康管理技术综述[J].电光与控制,2007,4(3):78-84.
[13] LU M Z,SONG Y J.Study on Testability Design of MissileEquipment Based on Prognostics and Health Management[J].Measurement and Testing Technology,2017,4(1):27-31.(in Chinese) 卢明章,宋永军.基于PHM的导弹装备测试性设计[J].计量与测试技术,2017,4(1):27-31.
[14] CHANG Q,YUAN S F.Overview of integrated vehicle health management (IVHM) technology and development [J].System Engineering and Electronics,2009(11):2652-2657.(in Chinese) 常琦,袁慎芳.飞行器综合健康管理(IVHM)系统技术现状及发展[J].系统工程与电子技术,2009(11):2652-2657.
[15] LV C,MA J,et al.A State of the Art Review on PHM Techno-logy[J].Computer Measurement & Control,2016,4(9):1-4.(in Chinese) 吕琛,马剑,等.PHM技术国内外发展情况综述[J].计算机测量与控制,2016,4(9):1-4.
[16] SHI W,SUN Y F,WANG Z L,et al.A Study of PHM System and Its Fault Forecasting Model[J].Fire Control & Command Control,2009,4(10):1-34.(in Chinese) 时旺,孙宇锋,王自力,等.PHM系统及其故障预测模型研究[J].火力 与指挥控制,2009,4(10):1-34.
[17] MA S S,CHEN G S,FANG X Q.Research on Prognostic and Health Management System of Complex Equipment[J].Computer Measurenment & Control,2010,8(1):1-4.(in Chinese) 马飒飒,陈国顺,方兴桥.复杂装备故障预测与健康管理系统初探[J].计算机测量与控制,2010,8(1):1-4.
[18] CHEN J,PENG Y,LI Q,et al.Data-driven PHM software system for airborne equipment[J].Journal of E lectronic Measurement and Instrumentation,2015,9(10):1536-1543.(in Chinese) 陈静,彭宇,李祺,等.数据驱动的机载设备PHM软件系统[J].电子测量与仪器学报,2015,9(10):1536-1543.
[19] CUI J,HE J,LIU Q,et al.Research on the Architecture Design of UAV PHM System[J].Computer Measurement & Control,2016,4(6):133-135.(in Chinese) 崔嘉,贺静,刘奇,等.无人机PHM系统体系结构设计研究[J].计算机测量与控制,2016,4(6):133-135.
[20] GUO Y M,CAI X B,ZHANG B Z,et al.Prognostics and Healthmanagement technology for new-generation weapon[J].Computer Engineering and Application,2008,4(13):199-203.(in Chinese) 郭阳明,蔡小斌,张宝珍,等.新一代装备的预测与健康状态管理技术[J].计算机工程与应用,2008,4(13):199-203.
[21] GUO Y M,CAI X B,ZHANG B Z,et al.Review of Prognostics and Health Management Technology[J].Computer Measurement & Control,2008,6(9):1213-1218.(in Chinese) 郭阳明,蔡小斌,张宝珍,等.故障预测与健康状态管理技术综述[J].计算机测量与控制,2008,6(9):1213-1218.
[22] JIA H,XU H Q,QU Q L.Maintenance support for ship equipment [J].Instrumentation Customer,2006,13(3):8-10.(in Chinese) 贾慧,胥辉旗,屈清林.基于PHM的舰船装备维修保障研究[J].仪器仪表用户,2006,3(3):8-10.
[23] LONG F,WANG Z,CHENG X J,et al.A PHM Blueprint Basedon Information Fusion for Military Digital Devices[J].Micro-electronics & Computer,2010,7(9):86-90.(in Chinese) 龙凤,王忠,程绪建,等.一种基于信息融合的军用电子产品PHM方案设计[J].微电子学与计算机,2010,7(9):86-90.
[24] WANG H Z,YANG J P,WANG S H.Research on the Maintenance Support System for Radar Equipment Based on the PHM [J].Journal of the Academy of Equipment Command & Technology,2008,9(4):83-86.(in Chinese) 王晗中,杨江平,王世华.基于PHM的雷达装备维修保障研究[J].装备指挥技术学院学报,2008,9(4):83-86.
[25] ZHANG B Z,ZENG T X.Advanced Prognostics and HealthManagement Technology[J].Measurement & Control Technology,2003,2(11):4-6.(in Chinese) 张宝珍,曾天翔.先进的故障预测与状态管理技术[J].测控技术,2003,2(11):4-6.
[26] DISCENZO F M,NICKERSON W,MITCHELL C E,et al.Open systems architecture enables health management for next generation system monitoring and maintenance[R].Development Program White Paper,2001.
[27] LV Z B,SUN Q,WANG J,et al.Research on Prognostic andHealth Management (PHM) Model Verification Engineering Process[J].Computer Measurement & Control,2016,4(9):281-283.(in Chinese) 吕镇邦,孙倩,王娟,等.PHM模型的工程化验证方法研究[J].计算机测量与控制,2016,4(9):281-283.
[28] WANG Y Y.The Study of Fault Diagnosis Based on Information Fusion Technology[D].Shijiazhuang:Hebei University of Science and Technology,2010:10-12.(in Chinese) 王艳英.基于信息融合技术的故障诊断方法研究[D].石家庄:河北科技大学,2010:10-12.
[29] 陈建辉.战车原理[M].北京:兵器工业出版社,2006:1-2.

No related articles found!
Full text



[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75, 88 .
[2] XIA Qing-xun and ZHUANG Yi. Remote Attestation Mechanism Based on Locality Principle[J]. Computer Science, 2018, 45(4): 148 -151, 162 .
[3] LI Bai-shen, LI Ling-zhi, SUN Yong and ZHU Yan-qin. Intranet Defense Algorithm Based on Pseudo Boosting Decision Tree[J]. Computer Science, 2018, 45(4): 157 -162 .
[4] WANG Huan, ZHANG Yun-feng and ZHANG Yan. Rapid Decision Method for Repairing Sequence Based on CFDs[J]. Computer Science, 2018, 45(3): 311 -316 .
[5] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[6] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[7] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[8] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[9] ZHONG Fei and YANG Bin. License Plate Detection Based on Principal Component Analysis Network[J]. Computer Science, 2018, 45(3): 268 -273 .
[10] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99, 116 .