A Predictive Maintenance Planning System Implemented on a Web Platform

Predictive maintenance predicts failures and determines the equipment's remaining useful life, which provides maintenance time to plan their interventions, preventing breakdowns or reducing their impact. This paper presents a software application, implemented in a web platform, to support the implementation of a predictive maintenance plan. The developed system currently monitors certain parameters of a plastic injection molding machine. Furthermore, this system has real-time alerts that notify the maintenance team when the measured temperatures are outside the defined limits. Some extras were added, such as the report page, which calculates, automatically, performance indicators, the access management page, and a page that permits the realization of autonomous maintenance interventions, the verification of its fulfilment, and the visualization of the performed interventions' results. After the system's implementation, it was tested in real operating conditions. Following the test time, it was concluded that the desired parameters were measured correctly, which supported the work's continuation.