
Renkeer introduces the new RS485 vibration sensor, designed for real-time condition monitoring of rotating machinery in harsh industrial environments. This series is designed for predictive maintenance, featuring high sensitivity, strong anti-interference capabilities, and long-term stability, and supports simultaneous measurement of vibration and temperature.
In industrial production, the stable operation of rotating equipment is crucial for safety and efficiency. The RS485 vibration sensor integrates high-performance vibration sensing and temperature measurement technologies, enabling it to accurately capture the root mean square value of vibration acceleration, the root mean square value of velocity, the peak-to-peak value of displacement, and the surface temperature. Built-in filtering function can suppress electromagnetic interference from dust, moisture and heavy machinery, ensuring the reliability of fault diagnosis and early warning data. This series of sensors is corrosion-resistant, impact-resistant, and has an IP68 protection rating. It also features a stainless steel housing, enabling it to operate stably and reliably in harsh environments such as mining, chemical, metallurgy, and power generation.
“Unplanned downtime due to equipment failure remains a major challenge in the industrial sector,” Renkeer said. “Our RS485 vibration sensor provides an integrated monitoring solution that enables equipment manufacturers and system integrators to implement predictive maintenance, reduce maintenance costs, and extend equipment life.”
This vibration sensor supports RS-485 communication, with a transmission distance of up to 2000 meters, and features remote firmware upgrade capabilities, facilitating system integration. They can operate over a wide DC voltage range and have low power consumption. This series of transmitters is compact and offers flexible mounting options (threaded or magnetic mounting), making them ideal for use in motors, fans, pumps, gearboxes, generators, and other rotating equipment requiring continuous health monitoring.
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