Artificial intelligence for prognostics and health management in off-highway vehicles: a systematic review of methods, data challenges, and deployment considerations
This systematic review synthesizes AI-driven prognostic methods, data challenges, and deployment considerations specific to off-highway operation, and contrasts the primary prognostic frameworks—data-driven, physics-based, and hybrid—and the role of knowledge-based expert systems in delivering interpretable alerts.