中国计算机自动测量与控制技术协会——《计算机测量与控制》杂志社 关键词：牵引电机；证据理论；时空融合；故障诊断 [gap=958]Key words: traction motor；evidence theory；temporal-spatial fusion；fault diagnosis
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The paper has improved the contexture methodology of basic probability of D-S Reasoning when its application in information temporal-spatial fusion.
论文改进了应用证据理论进行信息时空融合诊断时基本概率赋值的构造方法。
Experimental results prove that this method is practical and the probability of recognition is higher than with single temporal or spatial fusion before.
实验结果表明该方法可行，较以往的单一时间或空间融合，识别率得到了进一步的提高。
According to the noise contained in many sensor data, an algorithm based on support degree and adaptive weighted spatial-temporal fusion of the multi-sensor is proposed.
针对多传感器测量数据中含有的噪声，提出一种基于多传感器支持度和自适应加权时空融合算法。
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