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Modeling and Application of Maintenance Bill of Materials for complex equipment

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Journal of Donghua University(English Edition) 2016年第2期33卷 300-304页

作者：蔡志强赵江滨司书宾刘晓培 School of Mechatronics Northwestern Polytechnical University

In the industrial engineering, the maintenance and logistics support process is one of the key factors for the performance of equipment. Bill of materials( BOM) describes all the components in product and internal hierarchal relationships as a structured tree.In order to gain all required maintenance information for complex equipment which is complex,the modeling and the application of maintenance BOM are introduced in this paper. Because of the simple structure and the wide function,IDEF0 is presented to build the model of maintenance BOM. The modeling approach can gather the maintenance information conveniently based on other BOMs,and applications of maintenance BOM are widely,particularly,in maintenance and inventory management.

关键词： complex equipment maintenance bill of materials(BOM) IDEF0 method

Modeling and Analysis of complex equipment Maintenance Dynamics

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International Journal of Plant Engineering and Management 2007年第3期12卷 121-130页

作者： YIN Xiao-hu LIU Hai-yan WEN Xi-sen QIAN Yan-ling YANG Yong-min Institute of Mechatronic Engineering School of Mechatronics and Automation National University of Defense Technology Changsha g10073 P. R. China School of Language and Culture Nanjing University of Information Science Technology Nanjing 210044 P. R. China

An equipment maintenance system is naturally a complex dynamical system. The effective mamanagement must be based on the knowledge of the system＇s intrinsic dynamics. And the strueture of the maintenance system determines its behavior. This paper analyzes the basic structures and elements of a maintenance system for complex multi-components equipment. The maintenance system is considered as a dynamic system whose behavior is influenced by its structure＇s feedback and interaction, and the system＇s available resources. Building the dynamical model with Simulink, we show some results about the maintenance system＇s nonlinear dynamics, ods. The model can be used for understanding and which operational adjustments of maintenance which are never given by stochastic process methdetermining maintenance system behavior, towards n of maintenance requirements and timely supply of maintenance resources can be made in a more informed way.

关键词： modeling and simulation dynamics maintenance system complex equipment

The co-development performance evaluation of complex equipment based on two-stage network DEA method

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The co-development performance evaluation of complex equipme...

Hierarchical hybrid testability modeling and evaluation method based on information fusion

作者： Qian Yang Yongbo Cheng School of Management Science and Engineering Nanjing University of Finance and Economics

Based on the co-development model of "main manufacturer-suppliers" complex equipment with suppliers’ participation,we consider a three-echelon supply chain of complex equipment products,a two-stage network DEA performance evaluation model is constructed to evaluate the performance of manufacturer and suppliers reasonably.Subunits efficiency are optimized by the reverse efficiency value method of the whole supply chain,and be evaluated in the envelope surface projection to determine different input to improve value of the optimization of the supplier and the main manufacturers,as well as the coordinated development of operational efficiency of the whole supply chain,suppliers,main manufacturer,evaluate the coordinated development of the whole project operation level.Compared with the traditional DEA results,the simulation results show that the two-stage DEA performance evaluation model can evaluate the efficiency of main manufacturer and suppliers more accurately and comprehensively,so as to provide scientific decision-making and improvement basis for suppliers and manufacturer.

关键词： complex equipment Collaborative development Two-stage Network DEA model Efficiency evaluation

来源： cnki会议评论

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cnki会议

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Journal of Systems Engineering and Electronics 2015年第3期26卷 523-532页

作者： Xishan Zhang Kaoli Huang Pengcheng Yan Guangyao Lian Ordnance Engineering College Ordnance Technological Research Institute

In order to meet the demand of testability analysis and evaluation for complex equipment under a small sample test in the equipment life cycle, the hierarchical hybrid testability model- ing and evaluation method （HHTME）, which combines the testabi- lity structure model （TSM） with the testability Bayesian networks model （TBNM）, is presented. Firstly, the testability network topo- logy of complex equipment is built by using the hierarchical hybrid testability modeling method. Secondly, the prior conditional prob- ability distribution between network nodes is determined through expert experience. Then the Bayesian method is used to update the conditional probability distribution, according to history test information, virtual simulation information and similar product in- formation. Finally, the learned hierarchical hybrid testability model （HHTM） is used to estimate the testability of equipment. Compared with the results of other modeling methods, the relative deviation of the HHTM is only 0.52%, and the evaluation result is the most accu rate.

关键词： small sample complex equipment hierarchical hybrid information fusion testability modeling and evaluation.

A QUANTUM MULTI-AGENT BASED NEURAL NETWORK MODEL FOR FAILURE PREDICTION

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Journal of Systems Science and Systems Engineering 2016年第2期25卷 210-228页

作者： Wei Wu Min Liu Qing Liu Weiming Shen School of Electronic and Information Engineering Tongji University Shanghai 201804 China The Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University Shanghai 200092 China

An effective prognostic program is crucial to the predictive maintenance of complex equipment since it can improve productivity, prolong equipment life, and enhance system safety. This paper proposes a novel technique for accurate failure prognosis based on back propagation neural network and quantum multi-agent algorithm. Inspired by the extensive research of quantum computing theory and multi-agent systems, the technique employs a quantum multi-agent strategy, with the main characteristics of quantum agent representation and several operations including fitness evaluation, cooperation, crossover and mutation, for parameters optimization of neural network to avoid the deficiencies such as slow convergence and liability of getting stuck to local minima. To validate the feasibility of the proposed approach, several numerical approximation experiments were firstly designed, after which real vibrational data of bearings from the Laboratory of Cincinnati University were analyzed and used to assess the health condition for a given future point. The results were rather encouraging and indicated that the presented forecasting method has the potential to be utilized as an estimation tool for failure prediction in industrial machinery.

关键词： Failure prediction complex equipment quantum-inspired multi-agent algorithm back propagation neural network