Times they are a-changin’ in predictive maintenance

March 24, 2021

Predictive maintenance, despite its measurable results and successes, has been suffering from lack of scalability. Models designed and trained for a given machine with a particular set of sensors often had to be retrained before being used with other similar machines. In addition, the quantity and variety of machines in a factory makes developing, training, and maintaining models for each machine a challenge. Therefore, its natural that predictive maintenance became limited to the most valuable assets in a plant. 

But that is quickly changing. 

Technological advances have increased the availability of affordable vibration sensors, offered either with or without analytics solutions. New products come out often and in late 2020, the market heated up with the entrance of Amazon in the condition monitoring arena, with the launch of Amazon Monitron sensors. According to a research by Technavio, “the industrial vibration sensor market size is expected to grow by USD 2.83 billion during 2021-2025.” 

And this is great news! With sensors being added to more machines, industries will be able to scale up predictive maintenance to entire plants and reap even more benefits. However, no change comes without challenges: the more machines are monitoredthe stronger the pressure to collect data, analyze it, and quickly show assets that need closer inspection. To remain competitive, OEMsplant maintenance companies, and sensor distributors will need to adapt by adding more analytics capabilities to their solutions. 

That is why we are launching MultiViz Vibration. To enable companies and professionals that deliver machine diagnostics to add value to their offer through analytics features, powered by Machine Learning algorithms. 

Traditionally, vibration analysis requi