Chiller fault detection and diagnosis by knowledge transfer based on adaptive imbalanced processing-Reference-Cited by-同舟云学术

Chiller fault detection and diagnosis by knowledge transfer based on adaptive imbalanced processing

Published:2020-05-13 Issue:8 Volume:26 Page:1082-1099
ISSN:2374-4731
Container-title:Science and Technology for the Built Environment
language:en
Short-container-title:Science and Technology for the Built Environment

Author:

Fan Yuqiang¹²,Cui Xiaoyu¹²,Han Hua¹²,Lu Hailong¹²³

Affiliation:

1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Yangpu District, Shanghai, 200093, P. R. China

2. School of Energy and Power Engineering, Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai, 200093, P. R. China

3. R & D department CQ Midea General Refrigeration Equipment CO., LTD, 15 Qiangwei Road, Nanan District, Chongqing, 401336, P. R. China

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Building and Construction,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744731.2020.1757327

Reference48 articles.

1. Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals

2. Identifying β -thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine

3. Identifying, categorizing and mitigating threats to validity in software engineering secondary studies

4. Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier

5. An experimental comparison of classification algorithms for imbalanced credit scoring data sets

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