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Advanced, user friendly, wireless condition monitoring sensor

26 March 2019

AVT Reliability has launched the latest in its new suite of intelligent condition-based monitoring and maintenance (CBM) products – the wireless Machine Sentry MSF-1 tri-axial vibration and temperature sensor.

The MSF-1 constitutes another significant advancement in the field of digital CBM, offering improved visibility, safety, speed of data transfer and environmental sustainability.

The sensor incorporates full tri-axial vibration measurement and automatic fault diagnosis assistance (ADA) to identify potential problems and enable pre-emptive action. It offers continuous monitoring, which reduces the chance of fault conditions being missed.

The MSF-1 can be paired to any Android tablet or smartphone, connecting to Machine Sentry software using standard Bluetooth communications.

Data can be collected from up to 50m away, allowing the safe and efficient monitoring of assets which would be difficult to monitor using a traditional wired accelerometer, such as collection points behind guards and large or rotating assets like gearboxes on agitators.

A unique combination of low energy Bluetooth and classic Bluetooth protocols optimise battery life and increase data transfer speed, while intelligent data compression utilities optimise the amount of data that can be stored internally. 

The time waveform is stored in a high definition raw format, giving maximum flexibility for post-processing.

Lee McFarlane, Technical Director at AVT Reliability, said: “The MSF-1 offers unparalleled real time insight into, and analysis of, the condition of business-critical assets and plant safety.

“It constitutes another significant step forward in the AVT Reliability drive to make condition monitoring and asset management not only faster and more efficient, but also cheaper and user friendly.

“These factors have made Machine Sentry the reliability tool of choice for blue chip organisations around the globe.”

For more information, please contact AVT Reliability.

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