| 大型旋转机械磨擦故障诊断研究 |
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| 引用本文： | 何正嘉,沈玉娣,屈梁生.大型旋转机械磨擦故障诊断研究[J].西安交通大学学报,1988(5). |
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| 作者姓名： | 何正嘉 沈玉娣 屈梁生 |
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| 作者单位： | 西安交通大学机械工程系
(何正嘉，沈玉娣)，西安交通大学机械工程系(屈梁生) |
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| 摘 要： | 旋转机械的摩擦故障将产生一定带宽的有色噪声。采用主分量自回归(PCAR)谱分析方法比用FFT或自回归谱分析能更有效地对有色噪声和谐波分量给出合理的谱估计。通过计算机仿真计算和汽轮发电机组摩擦故障的分析比较,本文方法的应用结果是令人满意的。
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| 关 键 词： | 摩擦 故障 诊断 主分量 自回归 |
STUDY OF FRICTION FAILURE DIAGNOSIS OF LARGE ROTATING MACHINERY |
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| He Zhengjia,Sheng Yudi,Qu Liangsheng.STUDY OF FRICTION FAILURE DIAGNOSIS OF LARGE ROTATING MACHINERY[J].Journal of Xi'an Jiaotong University,1988(5). |
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| Authors: | He Zhengjia Sheng Yudi Qu Liangsheng |
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| Institution: | Department of Mechanical Engineering |
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| Abstract: | In many cases, friction failure may produce certain bandwidth colour noise.Principal components and autoregressive (PCAR) spectrum analysis is moreefficient than FFT or autoregressive spectrum analysis for reasonable estima-tion of both colour noise and harmonic components. Satisfactory results areobtained in computer simulation and friction failure diagnosis of steam turbo-generator sets. |
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| Keywords: | friction failure diagnosis principal components autoregressive |
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