PDF
Full
Outline
The stator cooling water system of a turbine generator must maintain optimal operating conditions to ensure the reliability and safety of the generator. Typically, thermal faults are detected using methods such as shutdown maintenance or temperature difference thresholds, but these methods cannot effectively detect faults in real time while the generator is in operation. To more accurately identify stator thermal faults, this paper proposes a temperature prediction algorithm based on the Transformer architecture. Using the predicted temperatures from multiple measurement points, the future temperature difference is estimated, and a diagnosis model for stator thermal faults is established. To address the issue of limited fault operation data samples, this paper utilizes Gaussian processes with different kernel functions to generate various types of time series, which are then combined with the original data, significantly expanding the training sample space. Finally, experiments are conducted using existing test data. The results indicate that the predictive algorithm proposed in this paper outperforms traditional autoregressive integrated moving average (ARIMA) and long short term memory (LSTM) algorithms. Moreover, the diagnostic model based on this predictive algorithm achieves an accuracy rate of 91.9% in identifying operational states, while also maintaining high precision and recall rates, ensuring low false alarm and missed alarm rates.
PDF
146
66
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
