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Predictive Maintenance

Predictive maintenance is the process of attempting to predict when operational equipment may fail and deploying preventive maintenance to avoid any downtime. This method is data-driven and uses predictive data analytics to monitor a variety of equipment conditions, ranging from production metrics to structural conditions that could indicate possible machinery or equipment failure.

What is predictive maintenance and how can it be used?

Predictive maintenance is a proactive maintenance strategy that tries to predict when a piece of equipment might fail so that maintenance work can be performed just before that happens. These predictions are based on the condition of the equipment that is evaluated based on the data gathered through the use of various condition monitoring sensors and techniques. See the full article for more details.

How does predictive maintenance work?

Predictive maintenance uses condition-monitoring equipment to evaluate an asset’s performance in real-time. A key element in this process is the Internet of Things (IoT). IoT allows for different assets and systems to connect, work together, and share, analyze and action data.

What is predictive maintenance strategy?

Predictive maintenance (PdM) is not a tool, technique or certification. Predictive maintenance is a philosophy that uses the equipment’s operating condition to make data-driven decisions and improve quality, productivity and profitability.

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