Functional Description

The DS200TBQBG1ACB is an input termination module developed by GE. It is part of the Mark V control system.

The input termination module (TBQB) is strategically located in position 7 within the R2 and R3 cores of the system.

This terminal block plays a key role in processing and handling the various input signals that are critical for monitoring and controlling operating parameters.

Features

Location and Connectivity: In the R2 core, the terminal board connects to the TCQA and TCQC boards located in the R1 core.

This connection facilitates the transfer of data and signals between cores for coordinated monitoring and control operations.

Similarly, in the R3 kernel, the terminal boards are connected to the TCQA and TCQC boards within the same kernel.

This setup ensures localised processing and integration of the input signals required for R3 kernel operation.

Input signals processed: The terminal blocks receive and process various types of input signals that are essential for operational monitoring:

Voltage signals: These signals provide insight into electrical parameters such as voltage levels within the system.

Vibration signals: Vibration monitoring signals help to assess mechanical integrity and performance and are essential for preventing equipment failure and optimising maintenance schedules.

Pulse rate signals: Pulse rate inputs indicate the frequency or rate of a specific event or process, helping to make precise monitoring and control adjustments.

Integration with TCQA and TCQC boards: Integration with TCQA and TCQC boards allows the TBQB Terminal Block to seamlessly interface with control and acquisition systems.

This integration supports real-time data acquisition, processing, and transmission, thus enhancing overall system responsiveness and reliability.

Operational Impact: By integrating these input signals on the board, the system benefits from centralised data processing and streamlined communication between cores.

This setup optimises operational efficiency, facilitates predictive maintenance strategies and ensures timely response to operational anomalies.