The Bently Nevada 991-05-50-01-00 Vibration Sensor Transmitter is an advanced industrial sensor designed for critical machinery monitoring, offering real-time vibration data to enhance operational efficiency and predictive maintenance.
Place of Origin:USA
Order Number:991-05-50-01-00
Custom Processing:Yes
Item No.:991-05-50-01-00
Brand:Bently Nevada
Model:991-05-50-01-00
Output Frequency:50 kHz
Certified Product:Yes
Series:991 Series
Material Coding:991-05-50-01-00
Sensing Range:10 mm
Sensitivity:0.1 μm
Output Type:Analog Voltage
Installation Type:Non-Contact
Operating Temperature:-40°C to +125°C
Package/Casing:Dielectric Insulation
Characteristics:High-temperature resistant, shockproof, and vibration-resistant
Termination Type:Gold-plated connector
Minimum Number of Packages:1
Application Areas:Steam turbines, compressors, pumps, and motors
Item Number:001
Crafted with precision and reliability, our Bently Nevada 991-05-50-01-00 Vibration Sensor Transmitter is designed to enhance operational efficiency by continuously monitoring and transmitting critical vibration data.
Equipped with cutting-edge technology, it ensures accurate and reliable readings across a wide range of operating temperatures, making it suitable for demanding industrial environments.
The transmitter boasts a durable stainless steel construction and gold-plated connectors, ensuring longevity and easy integration into existing systems.
Offering a high operating frequency of 50 kHz and a wide temperature range from -40°C to +85°C, it ensures robust performance in varying conditions.
With an output type of 4-20 mA and a power supply voltage range of 12-36 VDC, our sensor transmitter offers versatile compatibility and ease of installation.
Backed by comprehensive international certifications including CE, UL, and CSA, you can trust in its safety and compliance with global standards.
The Bently Nevada 991-05-50-01-00 Vibration Sensor Transmitter is an advanced industrial sensor designed for critical machinery monitoring, offering real-time vibration data to enhance operational efficiency and predictive maintenance.