| 旋转机械的故障预测方法综述 |
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| 引用本文： | 马洁,徐小力,周东华.旋转机械的故障预测方法综述[J].自动化仪表,2011,32(8). |
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| 作者姓名： | 马洁 徐小力 周东华 |
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| 作者单位： | 1. 北京信息科技大学现代测控技术教育部重点实验室,北京,100192
2. 清华大学自动化系,北京,100084 |
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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： | 旋转机械是工业上应用较为广泛的机械.许多大型旋转机械都是石化和电力等行业中的关键设备.首先以烟气轮机为例,阐述了预测维护的重要性；然后将现有的旋转机械故障预测方法整体分为定性分析法和定量分析法两大类,分别介绍了各种方法的实际应用情况；最后,探讨了旋转机械故障预测技术的难点问题以及发展趋势.
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| 关 键 词： | 旋转机械 故障预测方法 多变量数据驱动 非线性 非平稳 物联网 |
Survey of Fault Predication Methods for Rotating Machinery |
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| Ma Jie Xu Xiaoli Zhou Donghua.Survey of Fault Predication Methods for Rotating Machinery[J].Process Automation Instrumentation,2011,32(8). |
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| Authors: | Ma Jie Xu Xiaoli Zhou Donghua |
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| Affiliation: | Ma Jie Xu Xiaoli Zhou Donghua |
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| Abstract: | Rotating machinery is widely applied in industry.Many large scaled rotating machines are the key equipments in petrochemical and power industries.Firstly,with the flue gas turbine as the example,the importance of predictive maintenance is described.Then the existing fault prediction methods for rotating machinery are classified into two categories i.e.,qualitative analysis and quantitative analysis,and the practical applications of these two methods are introduced separately.Finally,the difficult problems a... |
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| Keywords: | Rotating machinery Fault prediction method Multivariable data driven Nonlinearity Non-stationary Internet of things |
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