Incipient Chiller Fault Diagnosis Using an Optimized Least Squares Support Vector Machine With Gravitational Search Algorithm

Incipient Chiller Fault Diagnosis Using an Optimized Least Squares Support Vector Machine With Gravitational Search Algorithm

Operational faults in centrifugal chillers will lead to high energy consumption, poor indoor thermal comfort, and low operational safety, and thus it is of significance to detect and diagnose the anomalies timely and effectively, especially for those at their incipient stages. The least squares supp...

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Bibliographic Details
Main Authors: Yudong Xia, Ju Zhao, Qiang Ding, Aipeng Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Energy Research
Subjects:
fault diagnosis
water chillers
least squares support vector machine
kernel principle component analysis
gravitational search algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.755649/full

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https://www.frontiersin.org/articles/10.3389/fenrg.2021.755649/full

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