Description
Vibro-meter-VM600 200-510-041-021 200-510-111-021 MPC4 Mechanical Protection Card
The 200 – 510 – 041 – 021 and 200 – 510 – 111 – 021 might be the codes for specific accessories or connectors associated with the MPC4 module. These accessories play an important role in connecting the MPC4 module to external devices or sensors, ensuring the accurate transmission of signals and the stable operation of the entire system.
Label | Specification |
---|---|
Model Number | VM600 (with components 200 – 510 – 041 – 021, 200 – 510 – 111 – 021 and MPC4 module) |
Brand | Vibro – meter |
Type | Vibration monitoring and analysis system |
Frequency Range | 0 – 20 kHz (for MPC4 module) |
Sampling Rate | Up to 51.2 kHz (for MPC4 module) |
Communication | Supports Ethernet, USB (for MPC4 module); can also be configured for other industrial – standard communication interfaces like RS – 232 or VME for overall system connectivity |
Operating Temp | – 10 °C to 60 °C (for MPC4 module); the overall system is designed to operate in harsh industrial environments with appropriate temperature – resistant measures |
Protection Class | IP65 (for MPC4 module), providing high – level protection against dust and water ingress |
Input Channels | The MPC4 module has multiple input channels, capable of receiving vibration data from various sensors such as accelerometers, proximity probes, and velocity sensors |
Outputs | Four 0 – 10V or 4 – 20 mA analog outputs for transmitting processed data; four relay outputs, which can be assigned by software to different alarm signals |
Programmable Levels | Features programmable and adaptive levels for alert, danger, and line check. These levels can be adjusted according to the specific requirements of different industrial applications |
Dimensions | The MPC4 module has dimensions of approximately 100mm x 50 mm x 30mm, designed to fit compactly into industrial control cabinets |
Power Supply | 24V DC (for MPC4 module), ensuring stable power supply for reliable operation |
Data Analysis Functions | Built – in advanced data analysis algorithms for detecting equipment health status, predicting faults, and performing trend analysis. Can calculate parameters such as vibration amplitude, frequency spectrum, and phase |
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