Application of PSO-LSSVM and hybrid programming to fault diagnosis of refrigeration systems-Reference-Cited by-同舟云学术

Application of PSO-LSSVM and hybrid programming to fault diagnosis of refrigeration systems

Published:2021-01-11 Issue:5 Volume:27 Page:592-607
ISSN:2374-4731
Container-title:Science and Technology for the Built Environment
language:en
Short-container-title:Science and Technology for the Built Environment

Author:

Ren Zhengxiong¹^ORCID,Han Hua¹,Cui Xiaoyu¹,Qing Hong¹,Ye Huiyun¹

Affiliation:

1. Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, School of Energy and Power Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Yangpu District, Shanghai, 200093, P. R. China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Building and Construction,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744731.2020.1859933

Reference50 articles.

1. A LSSVM approach for determining well placement and conning phenomena in horizontal wells

2. Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

3. An approach for automated fault diagnosis based on a fuzzy decision tree and boundary analysis of a reconstructed phase space

4. Bearing faults diagnosis using fuzzy expert system relying on an Improved Range Overlaps and Similarity method

5. Prediction of flashover voltage of insulators using least squares support vector machine with particle swarm optimisation

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