Predictive maintenance lets you monitor equipment health to avoid future failures during operation. It uses predictive algorithms with data from equipment sensors to estimate when your equipment will fail. It also pinpoints the root cause of problems in your complex machinery and helps you identify which parts need to be repaired or replaced. This way, you can minimize downtime and maximize equipment lifetime.

The process of monitoring the parameter of machinery (vibration, temperature etc.), in order to identify a significant change which is indicative of a developing fault. The use of condition monitoring allows for scheduled maintenance to take & prevent consequential damages and avoid its consequences .

The data collected can be used to establish trends, predict failure, and calculate remaining life of an asset. This new achievement in vibration monitoring technology is an ideal complement to traditional vibration analysis. The method is capable of detecting at a very early stage such machine problems which are generally difficult to identify early with conventional vibration monitoring techniques, such as gear and bearing damages.