State Evaluation of Large Ships Diesel Engine Based on SOM Neural Network

Jinxin Zhao, Jian Zhou, Peng Shang, Pengpeng Liu, Youlin Xu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

There is still no fixed evaluation method for the state evaluation of large-scale ships diesel engines. Here, the SOM self-organizing map neural network model is applied to judge and evaluate the state of the marine diesel engine. Firstly, according to the basic functions and structure of the diesel engine, the selection and establishment of scientific indicators should be carried out on the principle of evaluating indicators. Then, after the selected state indicator parameters are normalized, the data is input to the SOM neural network for training, and finally use the trained network to evaluate the state of the input parameters. The trained SOM neural network can effectively improve the evaluation efficiency and reduce the influence of some subjective factors, and the experimental results show that the model is feasible in the state evaluation of Marine diesel engines.

源语言英语
主期刊名Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
出版商Institute of Electrical and Electronics Engineers Inc.
2036-2040
页数5
ISBN(电子版)9781728116983
DOI
出版状态已出版 - 8月 2019
已对外发布
活动16th IEEE International Conference on Mechatronics and Automation, ICMA 2019 - Tianjin, 中国
期限: 4 8月 20197 8月 2019

出版系列

姓名Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019

会议

会议16th IEEE International Conference on Mechatronics and Automation, ICMA 2019
国家/地区中国
Tianjin
时期4/08/197/08/19

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