Research and design of intelligent monitoring and diagnosis system for thermal power units based on artificial intelligence and expert experience
This paper proposes an intelligent monitoring and diagnosis system for thermal power units based on artificial intelligence and expert experience, aimed to assists the operators of thermal power plants to monitor the operation of thermal power units and provides diagnostic references. The core of the system is the construction of early warning models and diagnosis models. On this basis, four major application modules are constructed, namely data center, algorithm center, model center, and monitoring center, realizing real-time monitoring, intelligent early warning and diagnostic analysis of thermal power units.
Authors
- Li Yang (ORCID: https://orcid.org/0009-0002-4639-3156)
- Hailong Zhang
- F.-M. Zhang
- Shishuai Zhang
- Shan Lu (ORCID: https://orcid.org/0000-0002-8262-8779)
- Zhen Xing Kong (ORCID: https://orcid.org/0000-0003-1961-1306)
- Gen Li (ORCID: https://orcid.org/0000-0002-2886-798X)
- Shuo Chen (ORCID: https://orcid.org/0000-0003-1512-376X)
Institutions
- NARI Group (China) (CN)
Publication Details
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1109/icei63732.2024.10917219
- Primary Topic
- Advanced Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00