A feature engineering framework for online fault diagnosis of freight train air brakes

•This study diagnoses automatic train air brake systems with data collected from a three-car in-lab experiment platform.•A divided-and-integrated framework is proposed for car-level and component-level fault location.•A feature selection algorithm based on modified reinforcement learning is developed.•The outcome of this study will benefit existing automatic air brake system fault diagnosis.