Smart diagnosis using an on-board middleware

摘要

Recent approaches to preventive maintenance have shifted from periodic maintenance based on static parameters to a continuous and a periodic maintenance that deploys high-tech tools to track remotely the "health" of equipments. In this paper, we propose an approach to maintain a high level of reliability and to achieve the maximum efficient use of the working parts within vehicles and machines. This paper marks the use of various techniques in the remote maintenance and diagnostics by means of classical and new methods for monitoring equipments remotely. And hence identifying their failure at earlier stages and preventing their breakdown. The technique relies on an onboard device that monitors and analyses the vibrations of the targeted parts using local knowledge stored within the middleware data base and global knowledge obtained remotely from the server.