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船舶智能诊断和运维系统及其设计 被引量:1

Design for Ship Intelligent Diagnosis and Operation Maintenance System
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摘要 比较了目前常见船舶运维管理模式的特点,阐述船舶智能诊断和运维系统研发技术路线与结构组成,通过研发应用实例说明船舶运维管理系统和3D可视化管理系统及其功能流程;以分析与挖掘网络-实体融合系统(CPS)技术为核心,通过分析、关联、评估、预测、优化决策等功能的实现,实现船舶健康管理、故障诊断和维修实施的一体化管理。 In this paper,the characteristics of common ship operation and maintenance management modes are introduced.The technical route and structure of ship intelligent diagnosis for ship operation and maintenance system research and development are expounded.The application examples of ship operation and maintenance management system and 3D visual management system and their function flow are illustrated.And the analysis and mining network-entity fusion system(CPS)technology is taken as the core,by realizing the functions like analysis,association,evaluation,prediction,analysis,association,evaluation,prediction and optimizing decision to realize the integrated management of ship health management,fault diagnosis and maintenance.
作者 汪益兵 战翌婷 Wang Yibing;Zhan Yiting(Zhejiang International Maritime College,Zhoushan 316021,China;College of Marine Science and Engineering,Shanghai Maritime University,Shanghai 201306,China)
出处 《浙江国际海运职业技术学院学报》 2018年第1期1-4,共4页 Journal of Zhejiang International Maritime College
基金 2016年度浙江省交通运输厅科技计划项目(项目编号:2016035)
关键词 船舶 智能诊断 运维管理 系统设计 ship intelligent diagnosis operation and maintenance management system design
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  • 1徐萍,康锐.预测与状态管理系统(PHM)技术研究[J].测控技术,2004,23(12):58-60. 被引量:32
  • 2刘爱伦,袁小艳,俞金寿.基于KPCA-SVC的复杂过程故障诊断[J].仪器仪表学报,2007,28(5):870-874. 被引量:16
  • 3梁旭,李行善,张磊,于劲松.支持视情维修的故障预测技术研究[J].测控技术,2007,26(6):5-8. 被引量:55
  • 4TAN C M, RAGHAVAN N. A framework to practical pre- dictive maintenance modeling for multi-state systems[J]. Reli- ability Engineering and System Safety, 2008, 93 (8): 1138-1150.
  • 5QIU Hal, LEE J, LIN Jing, et al. Robust performance degra- dation assessment methods for enhanced rolling element bear- ing prognosis[J]. Advanced Engineering Informatics, 2003,17 (3/4) : 127-140.
  • 6ZHOU Xiaojun, XI Lifeng, LEE J. Reliability-centered pre- dictive maintenance scheduling for a continuously monitored system subject to degradation[J]. Reliability Engineering and System Safety, 2007,92 (4) : 530-534.
  • 7YU Shenzheng. Hidden semi-Markov modds[-EB/OL]. [2010-05- 10]. http: //dteseerx. ist. psu. edu/viewdoc/download? doi= 10. 1. 1. 186. 5116N-repl&type=pdf.
  • 8BARUAH P, CHINNAM R B. HMMs for diagnostics and prognostics in machining processes[J].International Journal of Production Research,2005,43(6):1275 1293.
  • 9BUNKS C, MCCARTHY D, TARIK A. Condition basedma- intenance of machines using hidden Markov models[J]. Me- chanical Systems and Signal Processing,2000,14(4):597-612.
  • 10LEE J, KIM S, HWANG Y, et al. Diagnosis of mechanical fault signals using continuous HMM[J].Journal of Sound and Vibration, 2004,276 (3) .. 1065-1080.

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