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《Electronics Optics & Control》 2018-06
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Condition Assessment of Radar Seeker Based on Cloud Model and Evidence Theory

LU Cheng;XU Ting-xue;WANG Hong;Department of Ordnance Science and Technology,Naval Aeronautical University;No.55 Institute,Joint Staff Department;  
As the key link of Condition-Based Maintenance( CBM),condition assessment has an important influence on the subsequent CBM decision-making of equipment. In order to make the status assessment more accurate and reasonable,a method of equipment condition assessment based on cloud model and D-S evidence theory is put forward to overcome the strong subjectivity of existing evaluation methods. The first step is to use the cloud model to obtain the membership degree of the state index,and the second step is to modify the source of the evidence. Finally,the multiple evaluation indexes are fused by D-S evidence theory,and the evaluation results are obtained. The rationality of the new method is verified by the example analysis of radar seeker condition evaluation.
【Fund】: 国家自然科学基金(51605487);; 山东省自然科学基金(ZR2016FQ03)
【CateGory Index】: E92
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