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Manual entry for condition monitoring is ineffective when you have more real-time data than ever before. Read how machine-to-machine communication take monitoring to the next level.

Many of us already perform some type of condition monitoring. From temperature monitoring to acoustic analysis, condition monitoring is key to making sure your machines are running smoothly so you get maximum OEE. But with all of the projects and tasks that maintenance teams have to keep track of, condition monitoring can become a time-consuming task.

This is where the Industrial Internet of Things (IIoT) and predictive maintenance (PdM) come into play. As we discussed before, Plant Services estimates that 74.5 percent of manufacturing professionals use PdM for condition monitoring. Rather than relying on routine maintenance to prevent failures, PdM analyzes historical data and real-time information so you capture a more detailed picture of your assets’ working lives.

To capture this information, PdM relies on automated condition monitoring. Manufacturers are able to take their PdM programs to the next level thanks to the use of sensors and machine-to-machine communication.

M2M Communication in the Dark

Machine-to-machine (M2M) communication is essentially any automated process that allows two machines to exchange data or other information without human intervention. M2M communication relies on sensors for condition monitoring so that it can predict when a failure or problem may occur. Sensors are installed directly into machinery and can measure a variety of factors, from temperature to vibrations.

While people are still an important process of making this process work, there’s little need for extensive oversight because the machines do all the monitoring for you. In fact, you’re not required to step in until a sensor recognizes a problem and sends a notification back to your monitoring system thanks to automated condition monitoring. This means that your time is freed up to focus on bigger projects.

This automated monitoring, also called “lights out manufacturing,” acts as your eyes and ears when no one else is there in two ways:

  1. The system catches early warning signs of a failure and notifies a technician, even if it’s after hours
  2. The system can predict when something will fail in the future, how much it will cost and when it will happen so you can prepare ahead of time

Automated condition monitoring needs someplace to send their data, of course. That’s why a CMMS is essential to making this type of maintenance work smoothly and ensure that your technicians get the information in real-time. To learn more about the value of lights out manufacturing and how it works with a CMMS, check out our whitepaper.

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