196 related articles for article (PubMed ID: 34640899)
1. Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection.
Maliuk AS; Prosvirin AE; Ahmad Z; Kim CH; Kim JM
Sensors (Basel); 2021 Oct; 21(19):. PubMed ID: 34640899
[TBL] [Abstract][Full Text] [Related]
2. Visibility Graph Feature Model of Vibration Signals: A Novel Bearing Fault Diagnosis Approach.
Zhang Z; Qin Y; Jia L; Chen X
Materials (Basel); 2018 Nov; 11(11):. PubMed ID: 30428560
[TBL] [Abstract][Full Text] [Related]
3. A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis.
Zhen D; Guo J; Xu Y; Zhang H; Gu F
Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31527448
[TBL] [Abstract][Full Text] [Related]
4. An Early Fault Diagnosis Method of Rolling Bearings on the Basis of Adaptive Frequency Window and Sparse Coding Shrinkage.
Wan S; Peng B
Entropy (Basel); 2019 Jun; 21(6):. PubMed ID: 33267298
[TBL] [Abstract][Full Text] [Related]
5. A Novel Characteristic Frequency Bands Extraction Method for Automatic Bearing Fault Diagnosis Based on Hilbert Huang Transform.
Yu X; Ding E; Chen C; Liu X; Li L
Sensors (Basel); 2015 Nov; 15(11):27869-93. PubMed ID: 26540059
[TBL] [Abstract][Full Text] [Related]
6. Application of EEMD and improved frequency band entropy in bearing fault feature extraction.
Li H; Liu T; Wu X; Chen Q
ISA Trans; 2019 May; 88():170-185. PubMed ID: 30558907
[TBL] [Abstract][Full Text] [Related]
7. A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals.
Altaf M; Akram T; Khan MA; Iqbal M; Ch MMI; Hsu CH
Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271159
[TBL] [Abstract][Full Text] [Related]
8. An adaptive group sparse feature decomposition method in frequency domain for rolling bearing fault diagnosis.
Zheng K; Yao D; Shi Y; Wei B; Yang D; Zhang B
ISA Trans; 2023 Jul; 138():562-581. PubMed ID: 36863953
[TBL] [Abstract][Full Text] [Related]
9. An enhanced diagnosis method for weak fault features of bearing acoustic emission signal based on compressed sensing.
Wang C; Liu C; Liao M; Yang Q
Math Biosci Eng; 2021 Feb; 18(2):1670-1688. PubMed ID: 33757204
[TBL] [Abstract][Full Text] [Related]
10. Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers.
Toma RN; Prosvirin AE; Kim JM
Sensors (Basel); 2020 Mar; 20(7):. PubMed ID: 32231167
[TBL] [Abstract][Full Text] [Related]
11. Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning.
Li C; Sánchez RV; Zurita G; Cerrada M; Cabrera D
Sensors (Basel); 2016 Jun; 16(6):. PubMed ID: 27322273
[TBL] [Abstract][Full Text] [Related]
12. Bearing Fault Feature Extraction and Fault Diagnosis Method Based on Feature Fusion.
Zhu H; He Z; Wei J; Wang J; Zhou H
Sensors (Basel); 2021 Apr; 21(7):. PubMed ID: 33916563
[TBL] [Abstract][Full Text] [Related]
13. An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion.
Zhou X; Li A; Han G
Sensors (Basel); 2023 Aug; 23(17):. PubMed ID: 37688019
[TBL] [Abstract][Full Text] [Related]
14. Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings.
Saucedo-Dorantes JJ; Arellano-Espitia F; Delgado-Prieto M; Osornio-Rios RA
Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502720
[TBL] [Abstract][Full Text] [Related]
15. A Novel Supervised Filter Feature Selection Method Based on Gaussian Probability Density for Fault Diagnosis of Permanent Magnet DC Motors.
Wang W; Lu L; Wei W
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236219
[TBL] [Abstract][Full Text] [Related]
16. A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds.
Nguyen CD; Prosvirin A; Kim JM
Sensors (Basel); 2020 May; 20(11):. PubMed ID: 32486356
[TBL] [Abstract][Full Text] [Related]
17. A novel feature extraction method for bearing fault classification with one dimensional ternary patterns.
Kuncan M; Kaplan K; Mi Naz MR; Kaya Y; Ertunç HM
ISA Trans; 2020 May; 100():346-357. PubMed ID: 31732141
[TBL] [Abstract][Full Text] [Related]
18. An improved wrapper-based feature selection method for machinery fault diagnosis.
Hui KH; Ooi CS; Lim MH; Leong MS; Al-Obaidi SM
PLoS One; 2017; 12(12):e0189143. PubMed ID: 29261689
[TBL] [Abstract][Full Text] [Related]
19. An Automatic Bearing Fault Diagnosis Method Based on Characteristics Frequency Ratio.
Wu D; Wang J; Wang H; Liu H; Lai L; He T; Xie T
Sensors (Basel); 2020 Mar; 20(5):. PubMed ID: 32164174
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems.
Pham MT; Kim JM; Kim CH
Sensors (Basel); 2020 Dec; 20(23):. PubMed ID: 33276483
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
