A Data-Driven Approach for Various Blade Faults Using Vibrational Signals through Histogram Features on a Horizontal Wind Turbine

A. Joshuva, Ali Mostafaeipour, N. Sivashanmugam, V.A. Shridhar, S. Nandakumar and M. Chandrakala

“Wind turbines are a confirmed source for uncontaminated energy with a wind turbine to harvest around 3% of the world's power consumption. The needs and wishes of wind turbines also continue to increase. In comparison, the sophisticated blades of wind turbines are subject to various forms of faults owing to the hostile operating environment surrounding wind turbines. Safety modelling therefore constitutes an unprocessed issue for the production and implementation of wind power directed at conventional sources. Several experiments of wind turbine blade protection architecture have grown dramatically through concern. A three-bladed variable wind turbine and the state of a wind turbine blade is analysed using vibration sources. Faults such as crack, erosion, blade loose connection, twisting of the pitch angle and blade bend faults have been taken into account. The algorithms were then measured, and the condition regulation of wind turbine blades would be best described.

Volume 12 | 01-Special Issue

Pages: 486-493

DOI: 10.5373/JARDCS/V12SP1/20201095