Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman

• Main Author: Sulaiman, Abdul Aziz
• Format: Thesis
• Language: English
• Published: 2003
• Subjects: Neural networks (Computer science); Dynamoelectric machinery and auxiliaries.Including generators, motors, transformers
• Online Access: https://ir.uitm.edu.my/id/eprint/78575/1/78575.pdf; https://ir.uitm.edu.my/id/eprint/78575/

The title of this project is 'Condition Based Monitoring (CBM) of transformer utilizing Infrared Thermography (IRT). Thermography technique is applied to the external parts of the transformer, such as housing, bushing/ termination and cooling system. This project is to monitor the operation and its behavior (physically) of transformer using infrared camera. Some reviews, calibrating data and empirical surveys on transformers operation and its behavior need to perform better understanding on its characteristic. The data is also considered to make comfortable condition in the routine test of utilities (preventive maintenance). The primary objectives are to provide an early detection of defect and addressed it before they lead to major breakdown. This paper will also prove that condition monitoring or predictive maintenance is very beneficial compared to preventive maintenance in terms of increasing equipment availability, reduced maintenance cost and more efficient repair. These papers explain Artificial Neural Network (ANN) is applied to forecast the shortterm temperature for a transformer. So this paper proved that the single-layer networks then in use were theoretically incapable of solving many simple problems. ANN also now what can happen at transformer one or two year later.