Condition Assessment Model for Maintenance of Vehicles Fleet Based on Knowledge Generation

Instead of fail to fix, the maintenance strategy has being developed more predictively and intelligently. So called Condition Based Maintenance (CBM) enables real-time condition monitoring, diagnosis and prognosis with the help of information and communication technology. But for a large number of old equipment without relevant sensors or cost inefficient to install them, e.g., garbage trucks, a suitable maintenance strategy is needed for further use of such equipment in remaining lifetime. This paper presents a model of knowledge supported maintenance for vehicles fleet which contains modules of knowledge generation and maintenance planning for above mentioned equipment. Conditions of equipment or components could be assessed to calculate remaining lifetime and plan future maintenance activities. A case study of maintenance system for fleet of garbage trucks is shown in the paper with a condition-oriented parameter model which used as indicator for preventive maintenance and a knowledge feedback model for continuous improvement of whole equipment lifecycle.