BENTLY NEVADA+3500/20 125744-02

BENTLY NEVADA+3500/20 125744-02

It can be shipped all over the world.
(Excluding special circumstances can not transport areas!)
If necessary, please contact customer service.
【 Service contact 】
① 24 hours to receive email reply (12 hours);
② Feel free to reply, please add wechat.
③ For shipments outside of Asia, please contact the seller。 (Part of international area, free shipping)
【 Product features 】
① Brand model: BENTLY NEVADA+3500/20 125744-02
② Inventory quantity: 8
③ Color: new style
④ Freight: Depending on the local freight forwarder, the freight in different regions should prevail.
Whether tariff is included: No tax is included
⑥ Packing: Use seller’s safe packing

The Bently Nevada 3500/20 Large Card is an important component of the renowned 3500 Series Machinery Monitoring System designed for machinery protection applications in various industries. It is typically used for monitoring and protection of critical machinery such as turbines, compressors, pumps, and other rotating equipment.

Key details often associated with the Bently Nevada 3500/20 Large Card may include:

Product Name:

Bently Nevada 3500/20 Large Card (Full part number 125744-02)

Product Description:

The 3500/20 Large Card is a key component of Bently Nevada’s machinery protection and condition monitoring system. It is designed to accommodate a wide range of input signals for condition monitoring and machinery protection applications.

Product Parameters and Specifications:

– The 3500/20 Large Card is equipped with a range of input channels and can support a variety of probes and sensors, including seismic, proximity, speed, and other types of transducers.
– It typically includes configurable options and settings for alarm and trip points, signal conditioning, and communication interfaces.

Product Use:

– The 3500/20 Large Card is commonly utilized for monitoring vibration, position, speed, and other critical parameters of machinery in industrial facilities.
– It aids in detecting early signs of machinery malfunctions, providing essential data for predictive maintenance and machinery protection.

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