| 多通道信息融合技术在故障诊断中的应用 |
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| 引用本文： | 杨永生.多通道信息融合技术在故障诊断中的应用[J].光机电信息,2011,28(3):52-57. |
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| 作者姓名： | 杨永生 |
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| 作者单位： | 陕西省行政学院计算机系,陕西西安,710068 |
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| 摘 要： | 目前的轴承故障诊断中,较多的是对单传感器信号的处理,不能充分利用多传感器测量得到的大量有价值信息.针对这一问题,本文提出了一种信息融合模型.该模型通过设置不同传感器的权重值来融合多个传感器的信号,以达到充分利用传感器信息的目的.通过一个轴承故障诊断的例子,证实本模型具有实现简单、准确率高的优点,在轴承故障诊断中具有一定...
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| 关 键 词： | 支持向量机(SVM) 信息融合 故障诊断 |
Research on Bearing Fault Diagnosis based on Information Fusion |
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| YANG Yong-sheng.Research on Bearing Fault Diagnosis based on Information Fusion[J].OME Information,2011,28(3):52-57. |
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| Authors: | YANG Yong-sheng |
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| Affiliation: | YANG Yong-sheng (Computer Department, Shanxi Institute of Administration, Xi’an 710068, China) |
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| Abstract: | Much useful information obtained from multi-sensors can not be used efficiently in the bear faults diagnosis. An information fusion model is proposed in this paper to solve the problem. In this model, information obtained from multi-sensors is integrated by different weights assigned in the sensors. Through using in a bear fault diagnosis example, this model is confirmed with certain superiority in classification precision and performance of popularizing. |
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| Keywords: | support vector machines (SVM) information fusion fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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