Study on the Predictive Maintenance of Vehicles and its Management Using the Specific “Keep the Machine Running” Application

Abstract

Abstract Due to the advanced equipment for diagnosing the components and technical systems of which they are part, the advanced software techniques and applications for the execution, monitoring and maintenance of management, methods, the tendency to develop the type of predictive maintenance is now being generalized. The importance is given by the possibility of processing the determined results, by estimating the tendency of manifestation of the functional parameters and by establishing the moment of the technical interventions for maintaining the equipment/vehicle in the state of availability. The predictive or conditional maintenance, along with the systematic and predictive maintenance, as ways of planning and executing preventive maintenance, has the advantage that the costs of purchasing diagnostic equipment can be offset by the reduced repair costs, as theoretically the major equipment failure will be greatly reduced. The authors do a study on the possibilities of monitoring and driving automotive predictive maintenance using the Keep the Machine the software application Keep the Machine Running. The research method is to investigate the current level of maintenance and the facilities offered by the specific diagnosis and software application, and to integrate the results in order to achieve an efficient maintenance management.