Fault classification and detection in wind turbine using Cuckoo-optimized support vector machine

Author:

Agasthian A.ORCID,Pamula Rajendra,Kumaraswamidhas L. A.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference21 articles.

1. Wang X, Zhou J (2014) Wind turbine gearbox forecast using Gaussian process model. In: IEEE 26th Chinese control and decision conference (CCDC), pp 2621–2625

2. Hu C-Z, Yang Q (2016) On the use of EEMD and SVM based approach for bearing fault diagnosis of wind turbine gearbox. In: IEEE 28th Chinese decision conference (CCDC), China, pp 3472–3477

3. Qiang S, Lin H, Yu Z (2016) Online fault diagnosis of wind turbine blades based on support vector machine. In: IEEE 3rd international conference on system and informatics (ICSAI), pp 247–250

4. Gomathy V, Selva Permal S (2016) Fault detection and classification with optimization techniques for a three-phase single-inverter circuit. J Power Electron 16(3):1097–1109

5. Taheri SS, Seyed-Shenava SJ, Modiri-Delshad M (2015) Transmission network expansion planning under wind farm uncertainties using Cuckoo search algorithm. In: 3rd IET international conference on clean energy and technology (CEAT)

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