| 基于PNN的舰船柴油机冷却系统故障预警研究 |
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| 引用本文： | 姚乾,刘云生.基于PNN的舰船柴油机冷却系统故障预警研究[J].船舶工程,2020,42(S1):215-217. |
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| 作者姓名： | 姚乾 刘云生 |
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| 作者单位： | 中国人民解放军92942部队,中国人民解放军92942部队 |
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| 摘 要： | 针对舰船柴油机冷却系统，分析其典型故障模式，选取特征参数，基于概率神经网络（PNN）建立故障预警模型以对其进行故障预警，结合某型柴油机在某船实际运行数据完成模型的训练和验证。结果表明：采用概率神经网络可有效地实现舰船柴油机冷却系统的故障预警。
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| 关 键 词： | 概率神经网络 舰船柴油机 冷却系统 故障预警 |
| 收稿时间： | 2020/3/6 0:00:00 |
| 修稿时间： | 2020/8/16 0:00:00 |
Research on fault warning of marine diesel engine cooling system based on Probabilistic Neural Network |
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| YaoQian and.Research on fault warning of marine diesel engine cooling system based on Probabilistic Neural Network[J].Ship Engineering,2020,42(S1):215-217. |
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| Authors: | YaoQian and |
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| Institution: | No.92942 Unit of PLA,No.92942 Unit of PLA |
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| Abstract: | According to the cooling system of marine diesel engine, the typical failure mode is analyzed, the characteristic parameters are selected, and the fault warning model is established based on the probability neural network (PNN) to fault warning, and the training and verification of the model are completed with the actual data of a diesel engine in a ship. The results show that the probabilistic neural network can effectively realize the fault warning of marine diesel engine cooling system. |
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| Keywords: | probabilistic neural network marine diesel engine cooling system fault warning |
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