Design of Ship Monitoring System Based on Unsupervised Learning-Reference-Cited by-同舟云学术

Design of Ship Monitoring System Based on Unsupervised Learning

Published:2019 Issue: Volume: Page:270-276
ISSN:2194-5357
Container-title:Advances in Intelligent, Interactive Systems and Applications
language:
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Author:

Guanglei Li,Hong Zeng,Dingyu Jiang,Hao Wang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-02804-6_36

Reference10 articles.

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2. Huang, D., Zhao, D., Wei, L., et al.: Modeling and analysis in marine big data: advances and challenges. Math. Probl. Eng. (2) (2015)

3. Sang, L.Z., Wall, A., Mao, Z., et al.: A novel method for restoring the trajectory of the inland waterway ship by using AIS data. Ocean Eng. 110, 183–194 (2015)

4. Perera, L.P., Mo, B.: Data analytics for capturing marine engine operating regions for ship performance monitoring. In: The International Conference on Ocean, Offshore and Arctic Engineering (2016)

5. Gkerekos, C., Lazakis, I., Theotokatos, G.: Ship machinery condition monitoring using vibration data through supervised learning. In: The International Conference of Maritime Safety and Operations (2017)

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