Real Time Condition Monitoring on Brakes using Machine Learning Techniques

The condition monitoring is a technique used to predict the machine or an equipment's status; it can be used to predict the health of the system. This is possible only by gathering some parameters which continuously vary depending on the usage of the machinery or a particular subjective device. In this experimentation a real time hydraulic brake system is considered for the fault diagnosis study by continuously monitoring of the brake system of a car. From which fail-safe condition of the brakes using vibration analysis by implementing some machine learning techniques can be obtained. Various brake faults are considered for extracting the features using histogram.