Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit-Reference-Cited by-同舟云学术

Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit

Published:2023-06 Issue:2 Volume:6 Page:170-184
ISSN:2096-0654
Container-title:Big Data Mining and Analytics
language:
Short-container-title:Big Data Min. Anal.

Author:

Albayati Mohammed G.¹,Faraj Jalal²,Thompson Amy¹,Patil Prathamesh³,Gorthala Ravi³,Rajasekaran Sanguthevar²

Affiliation:

1. School of Engineering, University of Connecticut,Department of Mechanical Engineering,Storrs,CT,USA,06269

2. University of Connecticut,Department of Computer Science and Engineering,Storrs,CT,USA,06269

3. Tagliatela College of Engineering, University of New Haven,Department of Mechanical and Industrial Engineering,West Haven,CT,USA,06516

Funder

National Science Foundation

Publisher

Tsinghua University Press

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/8254253/10026288/10026516.pdf?arnumber=10026516

Reference34 articles.

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4. Application of machine learning classification methods in fault detection and diagnosis of rooftop units;ebrahimifakhar;Proc 18th Int Refrigeration and Air Conditioning Conf,2021

5. Chiller fault detection and diagnosis with anomaly detective generative adversarial network

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