Brief Function Introduction:
The Bently Nevada 330101-00-24-10-02-05 Proximity Probe is a high-performance sensing device designed for precise distance measurement in industrial automation systems. It is widely used in machinery monitoring, predictive maintenance, and process control applications where accurate proximity detection is critical.
Product Specifications:
| Operating Principle: | Electromagnetic Induction |
| Measurement Range: | 0 to 25 mm |
| Detection Distance: | Up to 30 mm |
| Resolution: | 0.1 mm |
| Accuracy: | +/- 0.5% or +/- 0.2 mm |
| Operating Temperature: | -40°C to +70°C |
| Protection Rating: | IP67 |
| Power Supply Voltage: | 12 to 36 VDC |
| Output Signal: | 4 to 20 mA |
| Communication Protocol: | Modbus RTU |
| Connectors: | M12 x 0.75 |
| Dimensions: | Length: 125 mm, Diameter: 25 mm |
Product Details:
Engineered with robust materials for durability and reliability, the Bently Nevada 330101-00-24-10-02-05 Proximity Probe offers exceptional performance in harsh industrial environments. Its electromagnetic induction technology ensures accurate and consistent readings over a wide range of distances.
This proximity probe is compatible with various automation systems, making it a versatile tool for integration into existing machinery and equipment. It supports both analog and digital communication protocols, ensuring seamless data transfer and compatibility with modern control systems.
With its IP67 protection rating, the device is resistant to dust and water ingress, ideal for outdoor or wet environments where traditional sensors might fail. The compact design and robust connectors facilitate easy installation and maintenance.
The Bently Nevada 330101-00-24-10-02-05 Proximity Probe is backed by comprehensive technical support and a warranty period, ensuring peace of mind for users. It is designed to withstand the rigors of industrial use, offering long-term reliability and reducing downtime.
Ideal for applications requiring non-contact measurement, this probe can monitor the movement of machinery parts, detect wear and tear, and predict maintenance needs, thus contributing to efficient production processes and safety in industrial settings.
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