259 related articles for article (PubMed ID: 32377021)
1. A Nonlinear Support Vector Machine-Based Feature Selection Approach for Fault Detection and Diagnosis: Application to the Tennessee Eastman Process.
Onel M; Kieslich CA; Pistikopoulos EN
AIChE J; 2019 Mar; 65(3):992-1005. PubMed ID: 32377021
[TBL] [Abstract][Full Text] [Related]
2. Simultaneous Fault Detection and Identification in Continuous Processes via nonlinear Support Vector Machine based Feature Selection.
Onel M; Kieslich CA; Guzman YA; Pistikopoulos EN
Int Symp Process Syst Eng; 2018; 44():2077-2082. PubMed ID: 30534633
[TBL] [Abstract][Full Text] [Related]
3. Big Data Approach to Batch Process Monitoring: Simultaneous Fault Detection and Diagnosis Using Nonlinear Support Vector Machine-based Feature Selection.
Onel M; Kieslich CA; Guzman YA; Floudas CA; Pistikopoulos EN
Comput Chem Eng; 2018 Jul; 115():46-63. PubMed ID: 30386002
[TBL] [Abstract][Full Text] [Related]
4. Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis.
Deng X; Tian X; Chen S; Harris CJ
IEEE Trans Neural Netw Learn Syst; 2018 Mar; 29(3):560-572. PubMed ID: 28026785
[TBL] [Abstract][Full Text] [Related]
5. Integrated Data-Driven Process Monitoring and Explicit Fault-Tolerant Multiparametric Control.
Onel M; Burnak B; Pistikopoulos EN
Ind Eng Chem Res; 2020 Feb; 59(6):2291-2306. PubMed ID: 32549652
[TBL] [Abstract][Full Text] [Related]
6. Fault diagnosis of a benchmark fermentation process: a comparative study of feature extraction and classification techniques.
Monroy I; Villez K; Graells M; Venkatasubramanian V
Bioprocess Biosyst Eng; 2012 Jun; 35(5):689-704. PubMed ID: 22076402
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach.
Saha DK; Hoque ME; Badihi H
Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161814
[TBL] [Abstract][Full Text] [Related]
9. Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description.
Deng X; Zhang Z
Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824350
[TBL] [Abstract][Full Text] [Related]
10. Seminal quality prediction using data mining methods.
Sahoo AJ; Kumar Y
Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
[TBL] [Abstract][Full Text] [Related]
11. Mechanical Fault Diagnosis of HVCBs Based on Multi-Feature Entropy Fusion and Hybrid Classifier.
Wan S; Chen L; Dou L; Zhou J
Entropy (Basel); 2018 Nov; 20(11):. PubMed ID: 33266571
[TBL] [Abstract][Full Text] [Related]
12. Fault detection in dynamic plant-wide process by multi-block slow feature analysis and support vector data description.
Huang J; Ersoy OK; Yan X
ISA Trans; 2019 Feb; 85():119-128. PubMed ID: 30389247
[TBL] [Abstract][Full Text] [Related]
13. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
Zhang Y; Deng Q; Liang W; Zou X
Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989
[TBL] [Abstract][Full Text] [Related]
14. Online Fault Diagnosis for Biochemical Process Based on FCM and SVM.
Wang X; Du H; Tan J
Interdiscip Sci; 2016 Dec; 8(4):419-424. PubMed ID: 27129944
[TBL] [Abstract][Full Text] [Related]
15. Global-and-local-structure-based neural network for fault detection.
Zhao H; Lai Z; Chen Y
Neural Netw; 2019 Oct; 118():43-53. PubMed ID: 31228723
[TBL] [Abstract][Full Text] [Related]
16. An adaptive metaheuristic optimization approach for Tennessee Eastman process for an industrial fault tolerant control system.
Mustafa FE; Ahmed I; Basit A; Alqahtani M; Khalid M
PLoS One; 2024; 19(2):e0296471. PubMed ID: 38381738
[TBL] [Abstract][Full Text] [Related]
17. Fault Diagnosis of Permanent Magnet DC Motors Based on Multi-Segment Feature Extraction.
Lu L; Wang W
Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833579
[TBL] [Abstract][Full Text] [Related]
18. Intelligent gearbox diagnosis methods based on SVM, wavelet lifting and RBR.
Gao L; Ren Z; Tang W; Wang H; Chen P
Sensors (Basel); 2010; 10(5):4602-21. PubMed ID: 22399894
[TBL] [Abstract][Full Text] [Related]
19. A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System.
Yuan X; Song M; Zhou F; Chen Z; Li Y
Comput Intell Neurosci; 2015; 2015():606734. PubMed ID: 26229526
[TBL] [Abstract][Full Text] [Related]
20. Fault diagnosis method based on FFT-RPCA-SVM for Cascaded-Multilevel Inverter.
Wang T; Qi J; Xu H; Wang Y; Liu L; Gao D
ISA Trans; 2016 Jan; 60():156-163. PubMed ID: 26626623
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
