Multi-sensor Fault Detection for Natural Gas Combined Cycle Power Plants Based on Multiple Robust Input Training Neural Network Models
In order to enhance the accuracy and reliability of multiple sensor measurements in natural gas combined cycle (NGCC) power plants, a multi-sensor fault detection method based on multi-model robust input training neural network is proposed in this paper, in which multiple robust input training neura...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
State Grid Energy Research Institute
2019-11-01
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| coleção: | Zhongguo dianli |
| Assuntos: | |
| Acesso em linha: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201812068 |
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