Line-to-Line Fault Detection for Photovoltaic Arrays Based on Multiresolution Signal Decomposition and Two-Stage Support Vector Machine

Zhehan Yi; Amir H. Etemadi

doi:10.1109/tie.2017.2703681

Line-to-Line Fault Detection for Photovoltaic Arrays Based on Multiresolution Signal Decomposition and Two-Stage Support Vector Machine

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2017.2703681 ◽

2017 ◽

Vol 64 (11) ◽

pp. 8546-8556 ◽

Cited By ~ 72

Author(s):

Zhehan Yi ◽

Amir H. Etemadi

Keyword(s):

Support Vector Machine ◽

Fault Detection ◽

Signal Decomposition ◽

Support Vector ◽

Two Stage ◽

Photovoltaic Arrays ◽

Multiresolution Signal Decomposition

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A Two-Stage Fault Detection and Classification Scheme for Electrical Pitch Drives in Offshore Wind Farms Using Support Vector Machine

IEEE Transactions on Industry Applications ◽

10.1109/tia.2019.2924866 ◽

2019 ◽

Vol 55 (5) ◽

pp. 5109-5118 ◽

Cited By ~ 3

Author(s):

Surya Teja Kandukuri ◽

Jagath Sri Lal Senanyaka ◽

Van Khang Huynh ◽

Kjell G. Robbersmyr

Keyword(s):

Support Vector Machine ◽

Fault Detection ◽

Classification Scheme ◽

Wind Farms ◽

Offshore Wind ◽

Support Vector ◽

Two Stage ◽

Offshore Wind Farms ◽

Fault Detection And Classification

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A two-stage fault detection and classification for electric pitch drives in offshore wind farms using support vector machine

2017 20th International Conference on Electrical Machines and Systems (ICEMS) ◽

10.1109/icems.2017.8056262 ◽

2017 ◽

Cited By ~ 4

Author(s):

Surya Teja Kandukuri ◽

Jagath Sri Lal Senanayaka ◽

Van Khang Huynh ◽

Kjell G. Robbersmyr

Keyword(s):

Support Vector Machine ◽

Fault Detection ◽

Wind Farms ◽

Offshore Wind ◽

Support Vector ◽

Two Stage ◽

Offshore Wind Farms ◽

Fault Detection And Classification

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Investigating the use of random forest, gradient boosting machine, support vector machine and their ensemble applied to fault detection

10.26678/abcm.cobem2017.cob17-1600 ◽

2017 ◽

Author(s):

Luis Felipe Nogoseke ◽

Gabriel Herman Bernardim Andrade ◽

Marco Boaretto ◽

Leandro Coelho

Keyword(s):

Support Vector Machine ◽

Random Forest ◽

Fault Detection ◽

Gradient Boosting ◽

Support Vector ◽

Gradient Boosting Machine

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A nonlinear support vector machine‐based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process

AIChE Journal ◽

10.1002/aic.16497 ◽

2019 ◽

Vol 65 (3) ◽

pp. 992-1005 ◽

Cited By ~ 14

Author(s):

Melis Onel ◽

Chris A. Kieslich ◽

Efstratios N. Pistikopoulos

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Fault Detection ◽

Fault Detection And Diagnosis ◽

Support Vector ◽

Tennessee Eastman Process ◽

Selection Approach ◽

Detection And Diagnosis ◽

Feature Selection Approach ◽

Nonlinear Support

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On a Diagnostic Procedure to Automatically Classify Gear Faults Using the Vibration Signal Decomposition and Support Vector Machine

Advances in Engineering Research and Application - Lecture Notes in Networks and Systems ◽

10.1007/978-3-030-04792-4_55 ◽

2018 ◽

pp. 425-432

Author(s):

Nguyen Phong Dien ◽

Nguyen Trong Du

Keyword(s):

Support Vector Machine ◽

Diagnostic Procedure ◽

Vibration Signal ◽

Signal Decomposition ◽

Support Vector

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Fault detection of pressure sensor of blast furnace fan based on Chaos Sparrow Search Algorithm-Support vector machine regression

Journal of Physics Conference Series ◽

10.1088/1742-6596/2010/1/012029 ◽

2021 ◽

Vol 2010 (1) ◽

pp. 012029

Author(s):

Ming Zhang ◽

Qiong Liu ◽

Jihong Deng ◽

Chun Chen

Keyword(s):

Support Vector Machine ◽

Blast Furnace ◽

Fault Detection ◽

Pressure Sensor ◽

Search Algorithm ◽

Support Vector ◽

Support Vector Machine Regression

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A two-stage-training support vector machine approach to predicting unintentional vehicle lane departure

Journal of Intelligent Transportation Systems ◽

10.1080/15472450.2016.1196141 ◽

2016 ◽

Vol 21 (1) ◽

pp. 41-51 ◽

Cited By ~ 4

Author(s):

Alhadi Ali Albousefi ◽

Hao Ying ◽

Dimitar Filev ◽

Fazal Syed ◽

Kwaku O. Prakah-Asante ◽

...

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Two Stage ◽

Training Support ◽

Lane Departure

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A new approach for fault detection of broken rotor bars in induction motor based on support vector machine

2010 18th Iranian Conference on Electrical Engineering ◽

10.1109/iraniancee.2010.5506976 ◽

2010 ◽

Cited By ~ 1

Author(s):

Mahdi Gordi Armaki ◽

Reza Roshanfekr

Keyword(s):

Support Vector Machine ◽

Fault Detection ◽

Induction Motor ◽

Support Vector ◽

New Approach ◽

Broken Rotor Bars

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Multiclass Support Vector Machine Based Bearing Fault Detection Using Vibration Signal Analysis

Lecture Notes in Electrical Engineering - Proceedings of the 4th International Conference on Electrical Engineering and Control Applications ◽

10.1007/978-981-15-6403-1_61 ◽

2020 ◽

pp. 885-895

Author(s):

Issam Attoui ◽

Nadir Fergani ◽

Nadir Boutasseta ◽

Brahim Oudjani ◽

Mohammed Salah Bouakkaz ◽

...

Keyword(s):

Support Vector Machine ◽

Fault Detection ◽

Signal Analysis ◽

Vibration Signal ◽

Support Vector ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Multiclass Support Vector Machine ◽

Vibration Signal Analysis

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Support vector machine based fault detection and diagnosis for HVAC systems

International Journal of Intelligent Systems Technologies and Applications ◽

10.1504/ijista.2019.097752 ◽

2019 ◽

Vol 18 (1/2) ◽

pp. 204 ◽

Cited By ~ 2

Author(s):

Jiaming Li ◽

Ying Guo ◽

Josh Wall ◽

Sam West

Keyword(s):

Support Vector Machine ◽

Fault Detection ◽

Hvac Systems ◽

Fault Detection And Diagnosis ◽

Support Vector ◽

Detection And Diagnosis

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