Bently Nevada 3500/82 - STATOR INSULATION MONITORING SYSTEM
BENTLY STATOR INSULATION MONITORING SYSTEM
Origin: United States
Brand: Bently Nevada
3500/82 is a stator insulation monitoring system developed by Bently Nevada. The Bently Nevada Stator Insulation Monitoring System measures the leakage current of motors up to 7.5 kV and 1000 Amps using cutting-edge technology. The measurements are taken while the motor is running, and the system uses the measured data to determine the condition of the stator insulation in the motor in real time.
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Product Introduction
The system consists of a 9-channel monitor that accepts inputs from the High Sensitivity Current Transformer (HSCT), High Voltage Sensors (HVS), and 4-20
mA process signals corresponding to motor temperature measurements. The system processed data and results can be displayed on the 3500-94 Display.
From stator RTD temperature measurements, the system can accept three HSCT, three HVS, and three 4-20mA process inputs. Because the interface
modules can drive long field cables, the monitor can be placed in a control or instrumentation room up to 330 meters (1,000 feet) from the motor or
interface modules.
The component includes measurement trending, which compares current measurements to any historical data taken in the last ten years (if the historical
data is available). The time window for comparison can be set by the user.
Functional Description
Show the motor's instantaneous stator leakage current on each phase.
Show the compensated dissipation factor as well as the change in dissipation factor from a given reference point.
Display the temperature of the motor stator as well as the average temperature.
Display line voltage and frequency data values.
Retrieve historical data from the monitor for data analysis.
Set annunciation alarm levels.
Configure the temperature range and time period for temperature learning, as well as the learn and extend modes, and view the current learning state.
View the number of temperature samples vs. operating temperatures that are used to create the temperature compensation learning curve.
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