Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems

Hogir Rafiq received his Ph.D. degree at the Institute of Automatic Control and Complex Systems (AKS), Faculty of Engineering, University of Duisburg-Essen, Germany, in 2023, and his M.Sc. degree in Control and Systems Engineering at the department of Automatic Control and Systems Engineering (ACSE), The University of Sheffield, UK, in 2012. His research interests include condition monitoring, signal processing and data-driven fault diagnosis and nonlinear frequency analysis.

Introduction.- The basics and kinematics of gears.- Vibration signal-based analysis for gearfaults.- Frequency domain analysis for nonlinear systems.- Development of advanced signal processing based fault diagnosis.- Estimation of NOFRFs based parametric characteristic analysis.-  Conclusions and future work.- Bibliography.