Dual CPU redundant communication hybrid fault detection technology for shipborne electrical plant control system

ObjectivesIn order to improve the reliability of shipborne electrical plant control systems and solve the key problem of fault detection in dual CPU hot backup redundant communication, a comprehensive set of fault detection mechanisms is proposed.MethodsAfter analyzing traditional dual CPU fault det...

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Bibliographic Details
Main Authors: Yue LU, Weibo LI, Wei LI, Qi LI, Wanfeng SUN
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2021-06-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
Online Access:http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01898
Description
Summary:ObjectivesIn order to improve the reliability of shipborne electrical plant control systems and solve the key problem of fault detection in dual CPU hot backup redundant communication, a comprehensive set of fault detection mechanisms is proposed.MethodsAfter analyzing traditional dual CPU fault detection, this study proposes a hybrid fault detection mechanism combining the network fault detection method with the third-party monitoring heartbeat method. Based on the designed dual CPU redundant system architecture, the principles and software implementation of the two proposed fault detection methods are analyzed, and the proposed fault detection method is verified on an actual device.ResultsAfter actual device inspection, the results show that the proposed dual fault detection technology overcomes the shortcomings of traditional fault detection methods such as focusing on CPU faults but ignoring CPU peripheral communication faults, and susceptibility to the "dual host phenomenon". It also improves the speed and accuracy of fault detection to ensure the stable and reliable operation of the dual CPU redundant system.ConclusionsThe results of this study can provide references for the dual CPU redundant communication fault detection methods of shipborne electrical plant control systems.
ISSN:1673-3185
1673-3185