Sensor Type:Proximity
Operating Range:Up to 100mm
Accuracy:+/- 1% of reading
Operating Temperature:-40°C to +85°C
Power Supply Voltage:DC 12V
Current Consumption:Max 15mA
Material:Stainless Steel
Dimensions:Diameter: 20mm x Height: 65mm
Connectivity:Miniature Male Coaxial Connector
Environmental Resistance:IP67 rated for dust and water resistance
The Bently Nevada 21505-00-12-05-02 sensor is a high-performance component designed to enhance the operational efficiency and reliability of industrial machinery. Its advanced proximity technology ensures precise monitoring of distances, facilitating early detection of wear and tear, thus enabling proactive maintenance schedules.
Crafted from durable stainless steel, this sensor is built to withstand harsh industrial environments, offering an extended lifespan and superior resistance to corrosion. The IP67 rating guarantees its functionality even in dusty or wet conditions, making it ideal for a wide range of applications including manufacturing, power generation, and petrochemical industries.
With Bluetooth compatibility, the sensor integrates seamlessly with modern industrial automation systems, providing real-time data transmission through a robust 4-20 mA current loop interface. This feature ensures reliable communication with control systems, enhancing the overall system performance and response time.
The 21505-00-12-05-02 sensor boasts a versatile mounting option, suitable for threaded applications, which simplifies installation across various machinery designs. Its compact size and lightweight construction make it adaptable to tight spaces within complex industrial setups, without compromising on functionality or performance.
Optimized for predictive maintenance, the sensor employs sophisticated algorithms to analyze operational data, alerting operators to potential issues before they escalate into costly breakdowns. This proactive approach not only minimizes downtime but also optimizes resource allocation, contributing significantly to the long-term sustainability and cost-effectiveness of industrial operations.
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