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Bently Nevada 3500/22-01-01-R0｜Transient Data Interface Module｜
Data Acquisition Capability
Supports synchronous transient data acquisition from all modules within the 3500 system
Maximum sampling rate of up to 256 kHz
Integrated large-capacity data buffer to ensure reliable capture and temporary storage of high-speed transient data
Redundancy Supporthttps://www.saulabb.com/product/3500-22-288055-01/
Supports dual TDI module redundant configuration
Automatic and seamless takeover by the standby TDI module in the event of a primary module failure
Ensures continuous data transmission and uninterrupted system communication
Hot-Swappable Design
Supports online replacement without system shutdown
Well suited for continuous production environments where downtime is not acceptable
Functions and Applications
Transient data capture: Real time collection of transient waveform data such as vibration and displacement, caching of key fault data, providing raw data support for rotor dynamics analysis and fault diagnosis.
High speed data transmission: Transient data is forwarded to AMS Machinery Manager, System 1 and other upper computer software through Ethernet/fiber optic interfaces, supporting remote monitoring and deep analysis.
Multi protocol compatibility: Supports protocols such as TDXnet and Modbus TCP/IP, adapts to industrial control systems such as DCS and SCADA, and achieves data interconnection and intercommunication.
Redundant communication guarantee: dual module redundant configuration, seamless switching between primary and backup, avoiding data interruption, suitable for continuous production industries such as power and petrochemical.
Typical application scenarios: Transient vibration monitoring, fault diagnosis, and predictive maintenance of rotating machinery such as steam turbines, generators, and compressors, suitable for industrial automation monitoring platforms that require high-precision dynamic data.
Bently Nevada 3500/22-01-01-R0｜Transient Data Interface Module｜
By structuring the information in this manner, the article provides a clear and organized understanding of input channels, transducer supply, and communication implementations in distributed control systems.
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