Paper
29 October 2018 Fault diagnosis expert system of marine propulsion system based on Access database
Jiawei Jiang, Yihuai Hu, Donglin Cai
Author Affiliations +
Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 1083620 (2018) https://doi.org/10.1117/12.2513858
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China
Abstract
This paper firstly, introduces the definition and basic methods of fault diagnosis on board ship, and the actualities and development of fault diagnosis expert system are discussed, including the research work and practical significance of the project. The construction of a fault diagnosis expert system and its developed tools and are also introduced.

Secondly, the design of fault diagnosis expert system for ship power plant was narrated in more details. The advanced database technology was introduced into the expert system. For example ,on the basis of Access 2000 database in the system, created knowledge database of the expert system which includes rule precondition table, rule conclusion table and dictionary table. The inference engine was designed on the basis of uncertain inferential modal with reliability. It also reflects actual faulty environment of equipment more completely. Which could solve simultaneous problem with multi-trouble and multi-symptom.
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Jiawei Jiang, Yihuai Hu, and Donglin Cai "Fault diagnosis expert system of marine propulsion system based on Access database", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083620 (29 October 2018); https://doi.org/10.1117/12.2513858
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KEYWORDS
Databases

Reliability

Intelligence systems

Oceanography

Associative arrays

Data storage

Knowledge acquisition

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