| 极大熵谱法及其在滚动轴承故障诊断中的应用 |
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| 引用本文： | 徐玉秀,原培新,等.极大熵谱法及其在滚动轴承故障诊断中的应用[J].机械科学与技术(西安),2001,20(4):576-578. |
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| 作者姓名： | 徐玉秀 原培新 |
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| 作者单位： | [1]沈阳工业大学，沈阳110023 [2]东北大学，沈阳110006 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 针对轴承运行状态采用极大熵谱法建立了 AR模型 ;并计算出轴承正常及故障状态的时序模型。对饱含着信号的时间序列进行了故障敏感因子计算、极大熵谱分析 ,对滚动轴承故障进行了定性的诊断 ,同时将功率谱和极大熵谱进行比较分析 ,为诊断提高可靠信息
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| 关 键 词： | 故障诊断 极大熵谱 敏感因子 滚动轴承 |
| 文章编号： | 1003-8728(2001)04-0576-03 |
| 修稿时间： | 2000年4月17日 |
An Application of Maximum Entropy Method to Fault Diagnosis of Rolling Bearings |
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| XU Yu xiu , YUAN Pei xin , XING Gang.An Application of Maximum Entropy Method to Fault Diagnosis of Rolling Bearings[J].Mechanical Science and Technology,2001,20(4):576-578. |
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| Authors: | XU Yu xiu YUAN Pei xin XING Gang |
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| Affiliation: | XU Yu xiu 1, YUAN Pei xin 2, XING Gang 1 |
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| Abstract: | AR model is built by maximum entropy method on bearing running condition, and time series model of fault and normal condition is computed. Maximum entropy analysis is carried on time series which contains signal. By analysis, the qualitative and quantitative diagnosis is processed, contemporaneously compared with FFT (power spectrum), spectrum produced by maximum entropy have many advantages: Limited valvula, standing out main peak, high frequency resolution ratio. Diagnosis information is improved. |
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| Keywords: | Fault diagnosis Maximum entropy Time series Rolling bearing |
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