Author:
Li Chengdong,Yu Yulong,Shang Linyuan,Zhang Hanyuan,Jiang Yongqing
Funder
National Natural Science Foundation of China
Taishan Scholar Project of Shandong Province
Natural Science Foundation of Shandong Province
Key Research and Development Program of Shandong Province
Youth Innovation Technology Project of Higher School in Shandong Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference50 articles.
1. Elnour M, Meskin N, Al-Naemi M (2020) Sensor data validation and fault diagnosis using auto-associative neural network for hvac systems. J Build Eng 27:100935
2. Fan C, Liu X, Xue P, Wang J (2021) Statistical characterization of semi-supervised neural networks for fault detection and diagnosis of air handling units. Energy Build 234:110733
3. Yan K, Ji Z, Huijuan L, Huang J, Shen W, Xue Yu (2017) Fast and accurate classification of time series data using extended elm: application in fault diagnosis of air handling units. IEEE Trans Syst Man Cybern Syst 49(7):1349–1356
4. Shen C, Zhang H, Meng S, Li C (2023) Augmented data driven self-attention deep learning method for imbalanced fault diagnosis of the hvac chiller. Eng Appl Artif Intell 117:105540
5. Liu Z, Huang Z, Wang J, Yue C, Yoon S (2021) A novel fault diagnosis and self-calibration method for air-handling units using bayesian inference and virtual sensing. Energy Build 250:111293
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献