If you’re like many car owners, you take your car in for regular oil changes but struggle to keep up with the manufacturer’s recommended service schedule. You might also wonder if an oil change is required, based on how you drive your car.
Thanks to the diagnostic capabilities of cars entering the marketplace, we can now eliminate much of the guesswork that comes with servicing our vehicles. Data is collected on critical vehicle components and used to alert us of impending issues. This can help maintain our cars based on actual needs versus industry averages, and do so before a costly and inconvenient breakdown occurs.
This is predictive maintenance – and it holds similar potential for maintaining your industrial operation. To understand its true impact, though, it’s important to first understand the difference between preventive and predictive maintenance.
Preventive maintenance involves building a maintenance schedule to service or replace devices based on their expected life span. This is certainly better than a run-to-fail maintenance approach, which makes unscheduled downtime a routine and costly part of your operations.
Still, proactive maintenance is conducted based on a set schedule rather than a device’s actual health and performance. This can lead to perfectly good devices being replaced long before it’s necessary. It also can leave you vulnerable to a device failing before its scheduled replacement or service date.
Predictive maintenance, on the other hand, compiles data from a device to monitor its performance and applies predictive algorithms to forecast failures long before they happen. More than that, it can help you refine your maintenance schedules and maximize your automation asset investments.
Predictive maintenance is becoming more valuable as more data becomes available – not just from the device itself but from specific components within the device. This is especially true in one of the most important devices in your facility: variable frequency drives (VFDs).
Whether it’s in a compressor, pump or stamping press, VFDs run the integral processes that keep your production going. If one goes down, your application goes down.
Fortunately, VFDs that are connected via a network can now be accessed, analyzed and tracked over time. What’s more, modern VFDs provide information on some of their core components, such as fans, bus capacitors and insulated gate bipolar transistors (IGBTs).
Fans, for example, are mechanical and will eventually wear out over time. The latest generation of VFDs have prebuilt algorithms that specifically monitor the performance of fans and can accurately predict their life span based on monitoring temperature, speed of operation and actual hours operated.
A maintenance technician can use this information to repair or replace either the drive or component. And because they can predict failures months in advance, they can plan these services around scheduled downtime events and make sure spare parts are on hand.
If you’re not sure if predictive maintenance would help your operations, ask yourself:
If you answered yes to any of these questions, it’s time to consider making VFDs with predictive-maintenance capabilities a priority. You can learn more about VFD options.