Maha M. A. Lashin, Fadwa Alrowais, Fawzan S. Alfares, Mahdy S. Al Ajami
Early fault detection for machine increases its life and minimizes downtime for maintenance. Type of failures and the way for faults appearing must be taken in consideration when choosing fault detection method. The machine’ failures generate periodic signals (vibration) that can be used for fault detection based on changes happened in these signals. Vibration analysis for fault diagnosis was applied for machines condition monitoring since long time. In this work, a vibration analysis is applied to investigate the state of a machine part which is widely used. The considered machinery consists of two gear boxes, motor, and water brake. Fault detection of several mechanical components in the gear boxes was investigated. The fault detection technique is based on the analysis of the vibration response. Fuzzy logic control systems were designed to predict the faults of this machinery. Hence, a code was developed by MATLAB software for calculating components’ frequencies. The technique is simple and reliable. The application of proposed technique investigates its effectiveness for increasing machine life and decreasing downtime for maintenance.