Development of machine learning-based algorithm to determine the condition in transformer oil

• Main Author: Mohsen Al-Katheri, Hussein Hasan
• Format: Thesis
• Language: English; English; English
• Published: 2021
• Subjects: TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
• Online Access: http://eprints.uthm.edu.my/6955/1/24p%20HUSSEIN%20HASAN%20MOHSEN%20AL-KATHERI.pdf; http://eprints.uthm.edu.my/6955/2/HUSSEIN%20HASAN%20MOHSEN%20AL-KATHERI%20COPYRIGHT%20DECLARATION.pdf; http://eprints.uthm.edu.my/6955/3/HUSSEIN%20HASAN%20MOHSEN%20AL-KATHERI%20WATERMARK.pdf; http://eprints.uthm.edu.my/6955/
• Institution: Universiti Tun Hussein Onn Malaysia

One very popular and useful electric device in daily life is a transformer, and it is one of the greatest components of the power network system. The main fault of these transformers can purpose considerable damage. This not only disrupts other functions of the power supply, rather than caused...