| 煤矿通风机故障诊断研究 |
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| 引用本文： | 安力钢. 煤矿通风机故障诊断研究[J]. 广西机械, 2012, 0(1): 96-97,105 |
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| 作者姓名： | 安力钢 |
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| 作者单位： | 潞安新疆伊犁煤化工有限公司,新疆伊宁835000 |
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| 摘 要： | 由于煤矿条件十分恶劣,煤矿通风机经常发生各种故障,应对煤矿通风机故障展开故障诊断研究。笔者采用小波和神经网络相结合的方法对煤矿通风机进行故障诊断,理论上表明该方法可以很好的对煤矿通风机进行故障诊断。
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| 关 键 词： | 煤矿 通风机 故障诊断 |
The Study of Fault Diagnosis of Mine Fan |
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| AN Li-gang. The Study of Fault Diagnosis of Mine Fan[J]. Guangxi Machinery, 2012, 0(1): 96-97,105 |
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| Authors: | AN Li-gang |
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| Affiliation: | AN Li-gang(Yili Mine Company of Lu＇an Industry Group,Yining Xinjiang 835000,China) |
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| Abstract: | Because conditions are very poor in coal,coal fan frequently occurs fault,so we should start coal fault diagnosis.This paper use the combination of wavelet and neural network as an approach for mine fan fault diagnosis,study shows thatthe method can be a good surface for mine fan fault diagnosis in theory. |
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| Keywords: | mine fan fault diagnosis |
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