| 集装箱桥吊前大梁振动的时间序列分析与故障诊断 |
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| 引用本文： | 张仕海,朱建元,胡雄.集装箱桥吊前大梁振动的时间序列分析与故障诊断[J].上海海事大学学报,2004,25(4):1-3. |
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| 作者姓名： | 张仕海 朱建元 胡雄 |
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| 作者单位： | 1. 上海海事大学,商船学院,上海,200135
2. 上海海事大学,物流工程学院,上海,200135 |
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| 基金项目： | 上海市教委科技项目资助(03IK12) |
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| 摘 要： | 基于对集装箱桥吊工况的模拟和振动监测研究,探讨时间序列分析方法用于桥吊状态监测的可能性和有效性,并对桥吊振动信号AR(自回归)模型的建立及其功率谱估计进行了分析。结果表明,时间序列分析对集装箱桥吊的故障诊断和状态监测是可行和有效的。
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| 关 键 词： | 状态监测 信号分析 时序模型 功率谱 |
| 文章编号： | 1672-9498(2004)04-0001-03 |
| 修稿时间： | 2003年12月10 |
Fault diagnosis of quayside container crane by means of time series analysis |
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| ZHANG Shihai,ZHU Jianyuan,HU Xiong.Fault diagnosis of quayside container crane by means of time series analysis[J].Journal of Shanghai Maritime University,2004,25(4):1-3. |
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| Authors: | ZHANG Shihai ZHU Jianyuan HU Xiong |
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| Institution: | ZHANG Shihai~1,ZHU Jianyuan~1,HU Xiong~2 |
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| Abstract: | Based on the working process simulation and vibration monitoring of a quayside container crane, the possibility and effectiveness of crane condition monitoring are explored by means of time series analysis method. The modeling and power spectra estimation of vibration signals using AR (Auto Regressive) model are discussed. The results show that the time series analysis is feasible and effective for container crane fault diagnosis and condition monitoring. |
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| Keywords: | condition monitoring signal analysis time series model power spectra |
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