Condition Monitoring Of Transformer
Condition monitoring is the technique of continuously monitoring a machine's condition parameter (vibration, temperature, oil, windings, etc.) to detect a major change that could indicate a developing fault. It's an important part of preventative maintenance. The use of condition monitoring enables
2025-06-28 16:25:58 - Adil Khan
Condition Monitoring Of Transformer
Project Area of Specialization Electrical/Electronic EngineeringProject SummaryCondition monitoring is the technique of continuously monitoring a machine's condition parameter (vibration, temperature, oil, windings, etc.) to detect a major change that could indicate a developing fault. It's an important part of preventative maintenance. The use of condition monitoring enables the scheduling of maintenance or other activities to be conducted to avoid significant damages and their effects. Condition monitoring offers the distinct advantage of allowing problems that would otherwise limit a person's lifespan to be addressed before they become a serious failure. Rotating equipment (motors, generators), static equipment (transformers), and other machinery are commonly subjected to condition monitoring systems. Developing problems and inefficiencies can be discovered and unplanned downtime prevented by collecting and analyzing certain data from motors. When it comes to electrical asset monitoring, a variety of signals can be considered.
This project is will assess and monitor in real-time the health of most important and costlier equipment of power system, i.e. power transformers, to enhance the reliable operation of power system. The objective is to detect and predict the incipient internal faults in their initial stages and also monitor different parameters. The on time prediction will ensure the reliable operation of power transformers and safety from high cost catastrophic failures thereby safeguarding the reliable and secure operation of power transformer.
- To design and implement a cost-effective system that is easier to operate and that is prolong.
- To develop an intelligent monitoring-system for the Power-Transformers that is able to predict faulted condition and notify operator for the possible fault under current operating conditions.
- To detect an incipient failure by analyzing the output parameters of transformer using Transformer Monitoring sensors and determining the possible remedies to handle such kind of problems/faults.
- To notify the operator for the possible fault under different operating condition of load ensuring health of transformer.
- To provide a solution for early fault prediction and health monitoring at affordable cost to the manufacturing industry and electricity utility companies.
The below given methodology is in our consideration in which the three main parameters will be monitored using specific sensors. The DGA (Dissolved Gas Analysis) will tell us about the contamination level of the oil used in transformer. The Oil sensor will simply tell us about the oil level in the main tank of the transformer and the Ten Delta sensor will tell us about the insulation level of the winding. We will also monitor winding vibration and temperature of different auxiliaries like body, winding, inslation, oil etc. We will also provide overload protection. The other sensors are for measuring primary and secondary current and voltages. This analogue data will then be converted to a digital one using Arduino and a microcontroller will be in place to monitor the data. The relay contains the specified limits if any abnormality occurs in the given parameters, the relay will trip the buzzer and before happening of any serious damage to the transformer, we will be notified and also the transformer will be isolated from the system. This data can be displayed on an LCD display. To make it simpler, we will integrate it with GSM technology so that we can monitor it on our smartphones.
Benefits of the Project- The project focuses primarily on the efficiency of the transformer monitoring process through the use of wireless communication, which avoids the usage of big cables, which are expensive, unreliable, and require frequent repair.
- The project's major purpose is to develop and build an Internet of Things (IoT)-based Transformer Monitoring System that can display real-time transformer conditions.
- This setup will prevent unexpected downtime.
- Depending on the size of transformer, you can maximize your return on investment
- Engineers in charge of maintenance can work more quickly.
- Condition-based monitoring (our project) offers several advantages, including 24x7 remote monitoring.
- Our system employs tiny, low-cost, readily connected wireless sensors that measure and communicate a range of status metrics every few minutes to a smart phone.
Real-time condition monitoring of transformers will ensure equipment safety and guarantee necessary intervention at the time of need. This reduces the risk of non-scheduled energy blackout in the system. The advanced condition monitoring will ensure that the transformers remain available for maximum period and, in case of any fault, detection at earlier stage will minimize the damage. The increase in service life of the transformer owing to continuous monitoring will play an important role in the economic profitability of the electric system. This project works on the development of a technique for condition monitoring of transformers based on real-time parameters monitoring.
The project is developing simulation models for power transformers that can simulate the impacts of overloading, temperature and faults on the performance of power transformers; moreover, this project also estimates the life of transformers under different operating conditions. The project has developed a setup for this purpose, where the transformer is operated under different fault and load conditions and the data is recorded through relay. The recorded data and analyses of this data through pattern recognition techniques will help in ensuring the safety against permanent damages by detecting the fault at an early stage.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 65600 | |||
| Transformer 1.5KVA with Oil | Equipment | 1 | 15000 | 15000 |
| Temperature Sensor | Equipment | 5 | 2000 | 10000 |
| Ten-Delta sensor | Equipment | 1 | 3000 | 3000 |
| DGA sensor | Equipment | 1 | 4000 | 4000 |
| Arduino Mega 2560 | Equipment | 1 | 10000 | 10000 |
| Current Sensor | Equipment | 3 | 1200 | 3600 |
| Voltage Sensor | Equipment | 3 | 1200 | 3600 |
| WIFI Module | Equipment | 1 | 2000 | 2000 |
| LCD Display | Equipment | 1 | 1500 | 1500 |
| Buzzer | Equipment | 1 | 500 | 500 |
| Relay | Equipment | 8 | 800 | 6400 |
| Connection, Tools, Wires | Equipment | 1 | 3000 | 3000 |
| Project Board | Miscellaneous | 1 | 3000 | 3000 |