| 基于BP算法对汽轮机的振动故障多因素预测 |
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| 引用本文： | 孙艳萍. 基于BP算法对汽轮机的振动故障多因素预测[J]. 东北电力学院学报, 2000, 20(2): 39-43 |
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| 作者姓名： | 孙艳萍 |
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| 作者单位： | 锦州石化公司职工大学!辽宁锦州116000 |
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| 摘 要： | 针对汽轮发电机组振动振幅受运行参数及随机因素影响的特点，提出了用人工神经网络中的递推合成ＢＰ网络对汽轮机的振动故障进行多因素预测。通过对仿真数据及机组实际振动数据的预测结果检验。证明多因素预测有利于提高汽轮发电机组振动状态的预测精度。
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| 关 键 词： | 汽轮机 振动 故障 预测 BP算法 |
The Vibration Faults Prediction Model of Steam Turbine |
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| SUN Yan ping. The Vibration Faults Prediction Model of Steam Turbine[J]. Journal of Northeast China Institute of Electric Power Engineering, 2000, 20(2): 39-43 |
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| Authors: | SUN Yan ping |
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| Abstract: | Vibration amplitude of steam turbine is affected by operation parameters and random factors,the paper Contributes a Prediction method using multifactor model of recurrent combined BP networks.By means of using simulated data and the operation data of steam turbines,the predictive performance is checked.The prediction results prove that the multi factor prediction model can help to improve the prediction precise. |
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| Keywords: | steam turbo generator set vibration neural networks predivtion |
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