Product Short Description
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Product Overview
The 3500/22M 288055-01 is the standard TDI card for the Bently Nevada 3500 machinery-protection and condition-monitoring system. It combines the functions of the legacy 3500/20 Rack Interface Module (RIM) with the data-collection capabilities of communication processors like TDXnet, enabling continuous streaming of both steady-state and transient dynamic (waveform) data to host software over Ethernet.
Description
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Technical Specifications
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Channels: 16-channel data interface (configurable)
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Input types: accepts signals from proximity probes, velocity sensors, RTDs/thermocouples and accelerometers
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Measurement modes: RMS, Peak, Peak-to-Peak, True Peak, Crest Factor, axial displacement, bearing temperature
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Output signals: 4–20 mA, 0–10 V and digital Ethernet streams
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Communications
– Front-panel RS-232 (115.2 kbaud max) for local setup
– 10/100 Base-TX auto-sensing Ethernet port
– 100 Base-FX fiber-optic Ethernet port -
Data collection: real-time vibration, displacement and temperature acquisition; high-resolution transient capture with optional Channel Enabling Disk
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Power: 24 VDC nominal, consumption 10.5 W
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Operating temperature: –30 °C to +65 °C
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Storage temperature: –40 °C to +85 °C
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Humidity: 95 % non-condensing
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Dimensions: 241.3 mm × 24.4 mm × 241.8 mm (height × width × depth)
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Weight: 0.91 kg
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Hazardous-area approvals: Class I Div 2, Zone 2, ATEX II 3 G Ex nC IIC T4
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Functional Features
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High-precision, high-sensitivity detection of minute displacement changes
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Stable output for long-term use in harsh industrial environments
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Full compatibility with 3500-series monitors and System 1 software for seamless integration
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Built-in diagnostics and LED status indicators for rapid fault location
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Battery-backed real-time clock: 38-year life at 50 °C powered, 12-year life un-powered
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Application Scenarios
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Continuous vibration, axial position and bearing temperature monitoring on turbines, compressors, pumps and generators in oil & gas, petrochemical, power and paper industries
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Critical rotating equipment protection systems requiring real-time data for predictive maintenance and reliability improvement
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