Diagnosis of single and multiple-source faults of chiller sensors using EWEEMD-ICKNN by time sequence denoising and non-Gaussian distribution feature extraction-Reference-Cited by-同舟云学术

Diagnosis of single and multiple-source faults of chiller sensors using EWEEMD-ICKNN by time sequence denoising and non-Gaussian distribution feature extraction

Published:2023-11 Issue: Volume:298 Page:113572
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Zhang Boyan,Wang Peng,Liu Guangyu,Li Jiteng,Zhao Tianyi^ORCID

Funder

Dalian University of Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference76 articles.

1. Residential building performance analysis at near extreme weather conditions in Hong Kong through a thermal-comfort-based strategy;Fong;Build. Simul.,2023

2. Development of multi-supply-multi-demand control strategy for combined cooling, heating and power system primed with solid oxide fuel cell-gas turbine;Luo;Energ. Conver. Manage.,2017

3. Inverse model-based detection of programming logic faults in multiple zone VAV AHU systems;Gunay;Build. Environ.,2022

4. Imbalanced data based fault diagnosis of the chiller via integrating a new resampling technique with an improved ensemble extreme learning machine;Zhang;J. Build. Eng.,2023

5. Chiller faults detection and diagnosis with sensor network and adaptive 1D CNN;Yan;Digital Commun. Networks,2022

Cited by 2 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. Conditional Enhanced Variational Autoencoder-Heterogeneous Graph Attention Neural Network: A Novel Fault Diagnosis Method for Electric Rudders Based on Heterogeneous Information;Sensors;2024-01-02

2. A novel semi-supervised fault diagnosis method for chillers based on neighbor-optimized graph convolutional network;Energy and Buildings;2023-12