SERNA AUTOMATION SOFTWARE
CUSTOMIZED SOLUTIONS
Predictive industrial maintenance (Based on real-time data acquisition)
Predictive industrial maintenance is an approach based on data capture and analysis to identify and prevent equipment failures before they occur. This is done by collecting data from sensors transmitting data in real time.
This data is then processed and analyzed to detect trends or patterns that may indicate potential problems.
By automating this data collection and analysis process, companies can reduce the time and effort required to implement predictive maintenance programs.
“There is nothing less profitable than a factory shutdown. Get out ahead of it with proper maintenance.”
The advantages of industrial predictive maintenance based on data capture are numerous, including:
- Reducing unplanned downtime: The early detection of breakdowns allows companies to make repairs before equipment fails, reducing unplanned downtime.
- Improved equipment reliability: Preventing failures helps ensure that equipment operates reliably, which reduces the risk of damage to equipment and products.
- Reduced maintenance costs: Reducing downtime and improving equipment reliability can lower maintenance costs.
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