Combining sensor data from smart wireless sensors with Machine Learning models can provide deep insights into the failure patterns of machinery.

A deeper understanding of the failure patterns of machinery and equipment can help minimize unplanned emergency downtime of systems and plants, optimize the maintenance budget, and increase worker safety, and profitability.

Talosys’s  smart wireless sensors measure vibration, temperature, barometric pressure and other parameters.  The sensors have a long battery life, require little to no maintenance, and can be deployed without shutting down the system or plant. Unnecessary routine maintenance can also be avoided, saving money.

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