基于EMD分解和共振解调的滚动轴承故障诊断研究 |
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引用本文: | 左庆林,;马怀祥. 基于EMD分解和共振解调的滚动轴承故障诊断研究[J]. 石家庄铁道学院学报, 2014, 0(3): 59-63 |
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作者姓名: | 左庆林, 马怀祥 |
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作者单位: | [1]石家庄铁道大学机械工程学院,河北石家庄050043; [2]天津市地下铁道运行有限公司,天津300051 |
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基金项目: | 基金项目:河北省教育厅自然科学重点项目(zh2011215) |
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摘 要: | 在介绍滚动轴承的故障机理的前提下,采用振动信号分析法对滚动轴承状态监测和故障诊断进行研究。通过LabVIEW编程,应用EMD分解和共振解调相结合的方法,对振动信号进行分析,获取有用故障特征,进而确定故障类型。
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关 键 词: | 滚动轴承 故障诊断 共振解调 |
Research on Rolling Bearing Fault Diagnosis Based on EMD Decomposition and Resonance Demodulation |
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Affiliation: | Zuo Qinglin, Ma Huaixiang ( 1. School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, china ; 2. Tianjin Metro Company ,Tianjin 300051 ,china) |
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Abstract: | This paper introduces the fault mechanism of the rolling bearing , uses the vibration signal analy-sis method to research rolling bearing condition monitoring and fault diagnosis .Through the LabVIEW program-ming , combining the EMD decomposition and resonance demodulation , the vibration signal is analyzed , and use-ful fault features are obtained to confirm the fault types . |
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Keywords: | EMD rolling bearing fault diagnosis EMD resonance demodulation |
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