An enhanced fault detection method for centrifugal chillers using kernel density estimation based kernel entropy component analysis-Reference-Cited by-同舟云学术

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An enhanced fault detection method for centrifugal chillers using kernel density estimation based kernel entropy component analysis

Published:2021-09 Issue: Volume:129 Page:290-300
ISSN:0140-7007
Container-title:International Journal of Refrigeration
language:en
Short-container-title:International Journal of Refrigeration

Author:

Xia Yudong,Ding Qiang,Jing Nijie,Tang Yijia,Jiang Aipeng,Jiangzhou Shu

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction

Reference46 articles.

1. Research on feature selection for rotating machinery based on Supervision Kernel Entropy Component Analysis with Whale Optimization Algorithm;Bai;Applied Soft Computing,2020

2. The application of principal component analysis and kernel density estimation to enhance process monitoring;Chen;Control Engineering Practicel,2000

3. A fault detection technique for air-source heat pump water chiller/heaters;Chen;Energ Buildings,2009

4. Development of analysis tools for the evaluation of fault detection and diagnostics in chillers;Comstock,1999

5. Hong Kong Energy End-use Data;Hong Kong Electrical & Mechanical Services Department,2015

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