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nanopreciseN

nanoprecise

@nanoprecise
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To perform predictive maintenance, condition monitoring sensors are installed on the machines to monitor and collect data. This data is then analyzed to identify faults and predict failures. The sensors collect and analyze complex data about the machine health & performance, to predict when it will fail. The Predictive Maintenance Solution then identifies the issues developing in machine components at an early stage, and prevents unplanned downtime. It notifies maintenance & reliability professionals when assets start to show initial signs of failure, thereby giving enough time for engineers & technicians to schedule repairs. It offers the potential to maximize the machine uptime, by predicting faults and allowing enough time to schedule repairs, without affecting production.

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Website nanoprecise.io/preventive-maintenance-software/
Location Oman
Age 32
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