Predictive maintenance makes a lot of promises, from reducing machine downtime and eliminating unnecessary maintenance to adding revenue streams for equipment vendors with aftermarket services. These benefits are eminently achievable as long as you keep engineering and business challenges from getting in the way.
Highlights
This webinar discusses four common obstacles that stop businesses from successfully implementing predictive maintenance, as identified through more than 100 conversations with engineers and engineering managers.
We do not have enough data to create a predictive maintenance system.
We lack the failure data needed for accurate results.
We understand the failures, but we cannot predict them.
We do not know how to do predictive maintenance.