Proper maintenance of components can improve the overall output of the organization by reducing the overall costs. This work presents the best strategy to develop the fleet maintenance and to recognize the severity of the component in the Mercedes bus. The data was extracted from the public transport buses of Florence city. Further the Matlab is used to detect the deviations in set values. The deviations in the suspension height, accelerometer vibration data, brake pad thickness was analyzed. The methods adopted can analyze the data in primary and secondary stages. The better brake pad replacement can be scheduled by simple methods adopted in the paper.