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《Journal of Ordnance Equipment Engineering》 2017-06
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Quality Condition Evaluation of Certain Equipment Based on Data Fusion

AN Jin;XU Ting-xue;LI Zhi-qiang;ZHU Gui-fang;Department of Ordnance Science and Technology,Naval Aeronautical and Engineering University;The Rocket Engineering University Sergeant College;  
Based on the background of quality condition evaluation,the factors that affect quality condition of a certain equipment are analyzed from general performance information,test information,environmental information and equipment history information respectively,in which the BP neural network,the ER algorithm,the matter-element theory and grey clustering method are used for evaluation. Eventually,the data of all kinds of information are fused to grasp the quality condition of the equipment,providing support for the equipment quality management and maintenance decision-making.
【Key Words】: quality condition evaluation data fusion BP neural network ER algorithm grey clustering method matter-element analysis
【Fund】: 武器装备预先研究项目(40108)
【CateGory Index】: E27
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