SVT Series Wireless Vibration Sensors
The SVT series wireless vibration sensors are industrial-grade sensors designed specifically for equipment condition monitoring and fault diagnosis applications. These sensors are characterized by low noise, high accuracy, ultra-low power consumption, and rugged durability, making them suitable for long-term use in various harsh industrial environments.
The sensors employ high-performance triaxial accelerometer sensors to measure the vibration signals of the equipment. Specifically, the SVT210 and SVT510 utilize triaxial MEMS sensors, while the SVT220 and SVT520 employ high-performance piezoelectric sensors for the main axis (Z-axis), and MEMS sensors for the auxiliary axes (X-axis and Y-axis).
With an industrial-grade structural design, the sensors can accurately collect temperature and vibration signals from the measured equipment. Additionally, the sensors have powerful edge computing capabilities. By analyzing these signals, they calculate 24-dimensional feature data for detecting various mechanical anomalies and faults, including unbalance, looseness, bearing pitting and wear, gearbox faults, and gear faults in rotating equipment.
The feature data and waveform data of the sensors are transmitted to a remote monitoring platform through a wireless sensor network. Users can remotely monitor the vibration and temperature parameters of the equipment, promptly detect abnormal operating conditions, ensure safe equipment operation, prevent unplanned downtime, and reduce maintenance time and costs.
making them suitable for long-term use in various harsh industrial environments.
The sensors employ high-performance triaxial accelerometer sensors to measure the vibration signals of the equipment. Specifically, the SVT210 and SVT510 utilize triaxial MEMS sensors, while the SVT220 and SVT520 employ high-performance piezoelectric sensors for the main axis (Z-axis), and MEMS sensors for the auxiliary axes (X-axis and Y-axis).
With an industrial-grade structural design, the sensors can accurately collect temperature and vibration signals from the measured equipment. Additionally, the sensors have powerful edge computing capabilities. By analyzing these signals, they calculate 24-dimensional feature data for detecting various mechanical anomalies and faults, including unbalance, looseness, bearing pitting and wear, gearbox faults, and gear faults in rotating equipment.
The feature data and waveform data of the sensors are transmitted to a remote monitoring platform through a wireless sensor network. Users can remotely monitor the vibration and temperature parameters of the equipment, promptly detect abnormal operating conditions, ensure safe equipment operation, prevent unplanned downtime, and reduce maintenance time and costs.
