Vehicle condition diagnostics using parametric noise visualization

Abstract

A method is proposed for assessing vehicle conditions by visualizing acoustic signals in 3D. Parametric representation of noise from piston engines enables early defect detection, addressing challenges of complex data in dynamic systems and advancing remote monitoring of mechanical components through intelligent technologies.