Karthick Chetti

Conference paper applying fuzzy MULTIMOORA method to FMEA for offshore wind turbines to address limitations of traditional FMEA and prioritize failure modes under uncertainty.

Research on multi-level classification and adaptive condition monitoring for wind turbine gearboxes integrating vibration, acoustic, and oil analysis to diagnose location, type and severity of faults using machine learning and ANFIS approaches.

Article describing integrated multi-variable feature sets from multiple condition monitoring techniques and hyperparameter optimization of machine learning models for multi-level gearbox fault classification.