Published Paper Details:

Electro-mechanical switch reliability is a critical issue in the automobile industry. While physical tests are used to evaluate reliability, adequate sample size is a challenge. It is essential to design Reliability model using physical as well as digital simulation data. Such "Phygital Reliability Model" will be useful to improve the overall prediction accuracy and pave the path for fully digital reliability model. The paper presents an experimental study of switch reliability parameters and proposes a "Phygital Reliability model". A methodology used analyses electrical and mechanical parameters of a switch in physical domain and simulated data in digital environment. During this process, the design specifications for Roof lamp Switch are collected, the environmental parameters such as temperature, humidity and vibration are measured, and electrical load analysis is conducted. The switch contact geometry, one of the major parameters that affect contact resistance, has been elaborated holistically. The obtained results are used in statistical model to forecast the switch life. This methodology can be further extended to all electromechanical switches in automotive industry.