| Issue |
E3S Web Conf.
Volume 256, 2021
2021 International Conference on Power System and Energy Internet (PoSEI2021)
|
|
|---|---|---|
| Article Number | 02041 | |
| Number of page(s) | 5 | |
| Section | Energy Internet R&D and Smart Energy Application | |
| DOI | https://doi.org/10.1051/e3sconf/202125602041 | |
| Published online | 10 May 2021 | |
Failure diagnosis of the steam generator based on improved BP network and Particle
1 Linyi Electric Porwer Corporation Liyin, 276000, China
2 School of Automatian and Electrical Enginearing, Linyi University, Linyi, 276000, China
* Corresponding author’s e-mail: tianzhiguang@lyu.edu.cn
In order to overcome the problems of slow rate of convergence and falling easily into local minimum in BP algorithm, this paper introduces the adaptive particle swarm optimization algorithm and combining model. The paper applies it to steam turbine-generators fault diagnosis. The experiment data shows that the algorithm converges quickly and recognizes faults efficiently; it has a reference value for faults diagnosis.
© The Authors, published by EDP Sciences, 2021
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