Health diagnosis method of coal mine belt conveyor
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摘要: 针对基于多传感器信息融合的煤矿带式输送机健康诊断方法运用D-S证据理论在处理冲突证据时失效的问题，提出了一种基于模糊证据理论的带式输送机健康诊断方法。该方法首先利用多种传感器采集带式输送机信息，并根据隶属度函数获取基本概率赋值，从而提取信息特征；然后通过对冲突证据进行修正并应用D-S证据理论的合成规则，实现基于模糊证据理论的信息融合；最后根据决策规则判断带式输送机运行状态。通过实例验证了该方法的有效性。Abstract: In view of problem of invalidation in dealing with conflicting evidence of D-S evidence theory used in health diagnosis method of coal mine belt conveyor based on multi-sensor information fusion, a health diagnosis method of coal mine belt conveyor based on fuzzy evidence theory was proposed. Firstly, information of belt conveyor are collected by use of multi-sensor, and basic probability assignments are obtained according to membership function, so as to extract information feature. Then information fusion based on fuzzy evidence theory is realized by modifying conflicting evidence and applying synthesis rule of D-S evidence theory. Finally, running state of belt conveyor is judged according to decision rule. Effectiveness of the method is verified by an example.
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期刊类型引用(4)
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百度学术
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