Research on fault diagnosis of main equipment based on watershed power production data center

• Published in: Journal of physics. Conference series Vol. 2752; no. 1; pp. 12237 - 12247
• Main Authors: Kang, Zhuo, Xiaoyi, Chen, Wei, Zheng, Linli, Song, Peng, Zhang, Fatai, Shi, Dongjun, Wu, Yuting, Guo
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.06.2024
• Subjects: Control centres; Control equipment; Control systems; Data analysis; Data centers; Diagnostic systems; Fault diagnosis; Hydroelectric power stations; Power plants; River basin development; River basins; Turbines; Turbogenerators
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2752/1/012237

Abstract With the development of intelligent hydroelectric power stations and centralized control centers, water and hydropower development companies in various river basins have constructed power production data centers, establishing standardized and normalized data models and connecting the underlying system channels. Based on the power production data center, this paper constructs a unified data model for monitoring the main equipment and, in response to the shortcomings of the existing equipment alarm mode, analyzes the advantages of expert knowledge and intelligent diagnostic methods. It establishes a comprehensive diagnostic system for the main equipment of power stations, providing multi-level and multi-perspective diagnostic reference opinions. This system is of great significance for promoting the development of intelligent hydroelectric power and centralized control. Finally, taking the operating condition data of a mixed-flow turbine generator unit as an example, the effectiveness of the comprehensive diagnostic model is analyzed and verified.