Gear faults diagnosis: a comprehensive review of experimental and theoretical studies

The increasing necessity for machinery availability has emphasized the significance of regular monitoring of machinery health. The associated maintenance program consists of both diagnostic and prognostic elements, making the surveillance of gearboxes crucial to preventing downtime and expensive failures. Various operating conditions, such as load, speed, and environmental factors, inevitably contribute to faults that gradually emerge. The methods for detecting these faults include both experimental observation and simulation of fault behavior under diverse operating conditions. This study offers an exhaustive analysis of different techniques used to process the data collected from gearboxes, including vibration, wear debris, and oil degradation. It also includes various dynamic models, providing a thorough review of experimental and theoretical research related to gearbox failure. Based on the above experimental and theoretical analysis, the suggestions for future research in the domain are enlisted.