A semi-supervised approach to fault detection and diagnosis for building HVAC systems based on the modified generative adversarial network

A semi-supervised approach to fault detection and diagnosis for building HVAC systems based on the modified generative adversarial network

Developing efficient fault detection and diagnosis (FDD) techniques for building HVAC systems is important for improving buildings’ reliability and energy efficiency. The existing FDD methods can achieve satisfying results only if there are sufficient labeled training data. However, labelling the da...

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書目詳細資料
Main Authors:	Li, Bingxu, Cheng, Fanyong, Cai, Hui, Zhang, Xin, Cai, Wenjian
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Electrical and electronic engineering Imbalanced Learning Fault Detection and Diagnosis
在線閱讀:	https://hdl.handle.net/10356/160416
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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