Avoiding Equipment Failure—Preventive and Predictive Approaches to Maintenance

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Preventive and Predictive—What’s the Difference?

Both preventive and predictive maintenance types are proactive measures in ensuring that equipment will not break or experience downtime in the near future. Essentially, it is fixing an issue before it becomes a problem. Although both are pre-emptive, they don’t function in quite the same way. Let’s uncover the differences and discover which, if any, solution comes out on top.

Preventive

Preventive maintenance solutions work by scheduling expected downtime to solve issues preemptively. Such maintenance is carried out based on a schedule to create minimum disruption to the working process.

Consider your car’s oil, for example. Depending on the make and model of the vehicle, you can expect to change the oil somewhere between every 3,000 to 10,000 miles, and sometimes you’ll find your car runs fine even longer.

Predictive

Similar to preventive, predictive maintenance uses a variety of technologies to preempt specific faults within a system. Unlike preventive, this approach doesn’t use recommended service dates but instead focuses on technology to get the job done. An example of its industrial use is Boeing, who used RFID tags and data analytics to optimize aircraft maintenance.

Let’s briefly explore two key pieces of tech that can be combined to create an efficient predictive error detection system:

• RFID sensors. Radiofrequency identification tags work to collect, store, and report information about equipment in real-time. These pieces of IoT kit, including sensors for temperature, vibration, pressure, and more, can detect in advance when equipment is about to fail so it can be repaired in time. They use wireless technology to transfer this information about a failure to the relevant system for it to be repaired.

• Big data and machine learning. Working through large data sets, machine learning models analyze various types of data—structured and semi-structured—to develop conclusions about the maintenance needs of equipment, all you to base your repair schedule on facts. The technology allows for the development of accurate predictive models based on real-time data from sensors, as well as historical data about failures.

Overall, predictive maintenance is more sophisticated than preventive. It also has a number of distinct advantages and disadvantages.

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