TEZMAKSAN Maintenance Department Personnel will be able to perform predictive maintenance in addition to periodic maintenance with Leonova Emerald device purchased from Swedish brand SPM. SPM’s training team provided a five-day predictive maintenance technologies training for TEZMAKSAN.
SPM 4 Level Trainer Christer Larsson gave the training to TEZMAKSAN Maintenance Department. The most distinctive feature that saves time and allows the company to determine downtime during maintenance is the most distinctive feature of the application is to provide the possibility of receiving fault signals well in advance and searching from the roots What is predictive maintenance, how is it performed? Predictive maintenance is a maintenance method that aims to prevent failures by detecting failures in machine elements using methods such as vibration analysis, oil analysis and temperature analysis. Only current and voltage information supplied to the system is the method of detection of mechanical and electrical failures that may occur in that system. With this method, the process of learning the system to be monitored is completed first. Using the learning data, it is determined whether there is a problem in the system. With this method, axial misalignment, unbalance, coupling misalignment, bearing and roller bearing failures can be detected in advance.