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This module belongs to the Bently Nevada 3500 series and supports programming through 3500 Rack Configuration Software. Each channel can be configured with different functions as needed and run in pairs.

It receives seismic transducer input, generates vibration measurement values after signal conditioning, and compares them with user set alarm points for mechanical protection and operation status monitoring.

This type of module is particularly suitable for reciprocating compressor systems because it can effectively monitor crank cases and cross-head vibrations, thereby helping to identify abnormal vibrations, impacts, and potential faults.

Manufacturer Bently Nevada

Model 3500/70M 176449-09

Type Recip Impulse Velocity Monitor

Number of channels: 4 channels

Input signal: Seismic transducers

Programmable functionality Impulse Acceleration, Acceleration 2, Recip Velocity, Low-Frequency Recip Velocity

Power consumption 8.5 watts typical

Input impedance 25 k Ω

Maximum switch current 5 A

Maximum switch voltage 30 Vdc

Weight 0.82 kg

Size 9.50 in x 0.96 in x 9.52 in

Applying Recreating Compressors, Crackcase, and Crosshead Vibration Monitoring

Q1: What equipment is the 3500/70M 176449-09 mainly used for?

Mainly used for reciprocating compressors, monitoring crank cases and cross-head vibration.

Q2: What measurement functions does it support?

Supports Impulse Acceleration, Acceleration 2, Recip Velocity, and Low Frequency Recip Velocity.

Q3: How many channels does this module have?

It is a 4-channel monitoring module, and the channels can be configured in pairs.

On April 26th, according to Xinhua News Agency, Swiss ABB Group and American IBM announced at the Hanover Industrial Fair in Germany that they will jointly develop high-end industrial artificial intelligence, combining ABB's digital solutions with IBM's "Watson" Internet of Things to provide users with new solutions to major challenges in the industrial field, such as strengthening quality control, reducing downtime due to failures, improving industrial process speed and output, etc.

One of the applications of the new solution is to embed real-time cognitive analysis into the industrial product testing process, thereby achieving automation of quality control. ABB's system is responsible for capturing real-time product images and analyzing them using IBM's IoT cognitive computing technology to quickly identify non-conforming products.

This solution can alert producers of key faults that cannot be recognized by the human eye during the product component assembly process, allowing quality control experts to quickly intervene. This can improve production accuracy and product consistency while increasing production line output, thereby helping manufacturers avoid expensive product recalls and reputation losses.

In the field of smart grids, new solutions can help customers optimize operations and maintain smart grids by extracting historical and weather data, predicting patterns on both the power supply and demand sides. Temperature, lighting, and wind speed forecasts will be used to predict electricity consumption demand, helping customers determine optimal electricity load management and real-time electricity prices.

ABB CEO Steve Jobs told Xinhua News Agency that the new solution will provide many opportunities, especially in the energy transition. By increasing investment in renewable energy and integrating it into the smart grid, it is expected to generate $7 trillion in output value over the next 25 years.

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