Predictive maintenance algorithm is our forte. Our company leverages this data to improve both operational and technical insights of the existing processes. Simultaneously, real-time implementation of our predictive algorithms provides you with information about upcoming bottlenecks and failures.
Incumbent failure in rotating machines – pumps and compressors
Our algorithm uses pattern recognition of the data and thereafter, predicts the time of failure along with the cause of failure. Pushing the assets beyond their design limit (how) and hence, more benefits. It has developed the intelligence for cavitation, oil leakage, sensors failure, bearings failure and shaft failure. It uses vibration analysis to detect bearing failure or shaft failure by using a library of bearing codes which has the design information about the bearings. The algorithms unique ability to diagnose the cause of failure allows you to prescribe the cause of failure and its time.
Knowing the cause of failure adds to advanced planning and schedule for the repair and maintenance. Consequently, the downtime for the asset is reduced which brings more revenue.
Intelligence of our algorithm:
Benefits for the business: