Machine learning-based state maps for complex dynamical systems: applications to friction-excited brake system vibrations

Abstract In this work, a purely data-driven approach to mapping out the state of a dynamical system over a set of chosen parameters is presented and demonstrated along a case study using real-world experimental data from a friction brake system. Complex engineering systems often exhibit a rich bifur... View More