Companies have been using Predictive Maintenance for 30 years using technologies like vibration, ultrasonic, thermography, oil analysis, and motor current analysis. It is only within the last five years that advances in technology have radically changed what is possible. The future of Predictive Maintenance is real-time, multi-parametric monitoring that automatically diagnoses problems.
Recently, I was asked about the reporting capabilities within Petasense’s Asset Reliability & Optimization (ARO) software. This is a reminder of how ingrained the ways of doing things are with experienced vibration analysts. It gave me pause, because it is like asking how often we need to go to the post office to send an email. The traditional paradigms for vibration analysis are changing as new entrants are coming from non-traditional industries.
Traditional PdM technologies are used by highly trained reliability engineers who are an expert in his/her discipline. Typically, few outside this field understand or use the information generated. The reliability engineer generates a report which is often lost or disregarded.
At Petasense, we bring a unique perspective to asset reliability. We have created a system based on real-time access to asset condition, transparency, and modern wireless and machine learning technology. It is not just a modern version of vibration analysis, but rather a complete rethinking of asset reliability.
Petasense’s Asset Reliability and Optimization (ARO) software offers the deep vibration analysis capabilities that an analyst needs, and goes beyond traditional vibration analysis programs in the following eight ways:
The best way to understand it is to see it in action. Click here to schedule a demo and see how ARO is the future of predictive maintenance.