Health of transformer is of great concern specially to avoid costly maintenance. A better, reliable and sophisticated system of diagnosis of faults (especially non-intrusive faults) can be done by many other controller platforms. But here, FPGA is selected for this very purpose due to its proce
Transformer Health Monitoring System using FPGA
Health of transformer is of great concern specially to avoid costly maintenance. A better, reliable and sophisticated system of diagnosis of faults (especially non-intrusive faults) can be done by many other controller platforms. But here, FPGA is selected for this very purpose due to its processing power as well as its comparatively lesser cost, also due to its small size so it can be placed anywhere easily. The whole system will be basically working on machine learning principles where the central processing unit (i.e FPGA) will be trained using the fault data collected in the past. The data recieved by various sensors including temperature voltage current, oil level and quality is analyzed by FPGA. It will then be compared with the faulty data which then will indicate whether the condition is good or bad. The notification system is done using broadband technology i.e WIFI. The signal will then be sent to a testbench panel installed on a laptop where it will be analyzed and acknowledged. Before any major defect would occur, the maintenance team would be called on shortest notice to deal with the anomaly. Thus, saving the company from a great loss.
1. To make a well sophisticated system of transformer diagnosis so as to save from big loss.
2. Implementation of the whole system in hardware form.
3. Including a new variety of fault parameter checking with the existing ones.
4. Using machine learning algorithms for the purpose of greater reliability and accuracy of the system.
5. Introducing communication structure for remote timely analysis of faults.
6. Will be learning for our team.
'7. Reducing cost of the project compared to past so as to economize the service.
8. Integration with intrusive faults.
9. Providing a quality service promising less maintenance and long term smooth and reliable service.
Project implementation will require the following methodology.
Transformer setup:
A 5 or 10kva 3-phase transformer will be used for testing. It will be placed in a favorable environment so as to protect it from external disturbances. Plus, prior checking of transformer will be a mandatory step to avoid future mistakes.
Sensors:
Set of sensors particular for parameters checking will be purchased and checked before integrating them with the real system. Their accuracy, calibration and position will be adjusted before installing them.
Wiring system:
A prior testing of wires would be compulsory before connecting them with the equipment.
Central Processing Unit:
As discussed before, FPGA will be a core hardware for processing and calculating purposes. It will be checked with each single testing sensor to check the proper working. After successful testing, all the required sensors will be integerated with it. Prior to all of that, the FPGA will already be fed a set of fault data using machine learning algorithms.
Communication system:
ESP8266 WIFI module will be tested before and then will be integrated with FPGA for remote communication with the main testbench where data will be analyzed.
Testbench setup:
Using some kind of software lie Matlab, Visual studio etc, a graphical user interface will be created for the purpose of receiving data and real time analysis of it.
Very clearly, the first beneficial outcome of the project is a reliable, sophisticated, real time, accurate and economical monitoring of transformer health. With all of that, our project demonstrates the communication protocol by which the data transmits over the WIFI to a control center which is also economical compared to the procedures used in the past. As it can be seen that transformers installed in remote areas are not frequently visited by maintenance teams. Hence, there is a strong requirement of real time monitoring and this is done by our project. In addition to that, the outcome will also introduce the degree or level of the fault occurred which will consequently attract greater attention subject to the results and timely rectification of the issue. Last but not least, our team tried our best to devise a strategy to make our project robust. It will be least affected by the external environmental conditions and hence will require less maintenance and provide greater degree of time saving.
Our final deliverables will be followed by the given points below.
1. The main idea is already demonstrated in our CDRB (Concept Design and Review Board).
2. Complete technical approach of istallation and testing of equipment will be demonstrated.
3. Problems occured during our progress and their solution will also be demonstrated.
4. Any new or alternative approach other than the scheduled one will be advised.
5. Surety of proper outcome and it's deviation with the estimated one will be presented in form of error percentage.
6. Total cost and additional cost (if applicable) will also be notified in our presentation.
7. All technical and economical improvements and future enhancements will be properly demonstrated with facts and figures.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| RTD sensor | Equipment | 1 | 500 | 500 |
| ZMPT vltage sensor | Equipment | 3 | 500 | 1500 |
| ACS712 current sensor | Equipment | 3 | 500 | 1500 |
| Oil level sensor | Equipment | 1 | 500 | 500 |
| Oil quaity | Equipment | 1 | 500 | 500 |
| Piezo | Equipment | 1 | 500 | 500 |
| WIFI module | Equipment | 1 | 250 | 250 |
| FPGA board | Equipment | 1 | 25000 | 25000 |
| Miscellenaous | Miscellaneous | 1 | 1500 | 1500 |
| Total in (Rs) | 31750 |
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