Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing-Reference-Cited by-同舟云学术

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Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing

Published:2021-10 Issue: Volume:462 Page:466-477
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ji Shanshan,Han Baokun,Zhang Zongzhen,Wang Jinrui,Lu Bo,Yang Jiawei,Jiang Xingxing

Funder

China Postdoctoral Science Foundation

Natural Science Foundation of Shandong Province

Postdoctoral Innovation Project of Shandong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference30 articles.

1. Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method;An;Neurocomputing.,2019

2. Initial center frequency-guided VMD for fault diagnosis of rotating machines;Jiang;J. Sound Vib.,2018

3. A new fault diagnosis method based on adaptive spectrum mode extraction;Wang;Struct. Health Monit.,2021

4. Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions;He;Knowl.-Based Syst.,2020

5. Recent advances in key-performance-indicator oriented prognosis and diagnosis with a Matlab toolbox db-kit;Jiang;IEEE Trans. Ind. Inf.,2019

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2. CFENet: A contrastive frequency-sensitive learning method for gas-insulated switch-gear fault detection under varying operating conditions using acoustic signals;Engineering Applications of Artificial Intelligence;2024-09

3. A recursive multi-head self-attention learning for acoustic-based gear fault diagnosis in real-industrial noise condition;Engineering Applications of Artificial Intelligence;2024-07

4. Generalized nonlinear hybrid-norm parallel sparse filtering for bearing fault diagnosis under complex interference;Measurement Science and Technology;2024-06-07

5. A generalized method for diagnosing multi-faults in rotating machines using imbalance datasets of different sensor modalities;Engineering Applications of Artificial Intelligence;2024-06

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