TY  - JOUR

T1  - Damage detection in operational wind turbine blades using a new approach based on machine learning

JO  - Renewable Energy

PY  - -0001/11/30

AU  - Chandrasekhar K

AU  - Stevanovic N

AU  - Cross EJ

AU  - Dervilis N

AU  - Worden K

ED  - 

DO  - DOI: 10.1016/j.renene.2020.12.119

PB  - Elsevier BV

Y2  - 2024/12/22

ER  -