Field implementation and evaluation of a decoupling-based fault detection and diagnostic method for chillers-Reference-Cited by-同舟云学术

Field implementation and evaluation of a decoupling-based fault detection and diagnostic method for chillers

Published:2014-04 Issue: Volume:72 Page:419-430
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Zhao Xinzhi,Yang Mo,Li Haorong

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference20 articles.

1. Characterization of Building Controls and Energy Efficiency Options Using Commercial Building Energy Consumption Survey. PNWD-3247;Katipamula,2003

2. Development of Analysis Tools for the Evaluation of Fault Detection and Diagnostics in Chillers ASHRAE Research Project 1043-RP; also, Ray W. Herrick Laboratories;Comstock,1999

3. Evaluation and Assessment of Fault Detection and Diagnostic Methods for Centrifugal Chillers-Phase II ASHRAE Research Project 1275-RP;Reddy,2006

4. Development and evaluation of a simple model-based automated fault detection and diagnosis (FDD) method suitable for process faults of large chillers;Reddy;ASHRAE Transactions,2007

5. On-line failure diagnosis for compression refrigerant plants;Grimmelius;International Journal of Refrigeration,1995

Cited by 42 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

1. Quantitative fault detection and diagnosis methods for vapour compression chillers: Exploring the potential for field-implementation;Renewable and Sustainable Energy Reviews;2024-06

2. Feature selection for chillers fault diagnosis from the perspectives of machine learning and field application;Energy and Buildings;2024-03

3. Performance Evaluation of Chiller Fault Detection and Diagnosis Using Only Field-Installed Sensors;Processes;2023-11-26

4. Fault diagnosis based on residual–knowledge–data jointly driven method for chillers;Engineering Applications of Artificial Intelligence;2023-10

5. Research on vibration and noise characteristics of scroll compressor with condenser blockage fault based on signal demodulation;International Journal of Refrigeration;2023-10