Results 21 to 30 of about 3,816 (209)
Improved Fuzzy C-Means Clustering for Transformer Fault Diagnosis Using Dissolved Gas Analysis Data
Energies, 2018 Dissolved gas analysis (DGA) of the oil allows transformer fault diagnosis and status monitoring. Fuzzy c-means (FCM) clustering is an effective pattern recognition method, but exhibits poor clustering accuracy for dissolved gas data and usually fails to
Enwen Li +3 more
doaj +1 more source
Fault diagnosis of transformer using artificial intelligence: A review
Frontiers in Energy Research, 2022 Transformer is one of the important components of the power system, capable of transmitting and distributing the electricity generated by renewable energy sources.
Yan Zhang +3 more
doaj +1 more source
Dissolved gas analysis of transformers based on rough set and fuzzy logic methods [PDF]
, 2015 Dissolved Gas Analysis (DGA) is one of the common approaches that can be used to detect incipient faults in transformers. According to IEEE C57/104-2008 and IEC 60599 standards, there are many DGA techniques that can be used to interpret the type of ...
Ab Kadir, Mohd Zainal Abidin +5 more
core +1 more source
Analisis Kualitas Minyak Trafo Menggunakan Data Dissolved Gas Analysis dan Water Content
Protek: Jurnal Ilmiah Teknik Elektro, 2018 Transformer is a vital equipment in the power system. If the transformer is damage, can cause the electrical distribution to the consumer will be disrupted. Therefore, it needs special maintenance the performance of the transformer to avoid damage.
Abdul Syakur, Fanny Rizka Savitri
doaj +1 more source
Improving the accuracy of transformer DGA diagnosis in the presence of conflicting evidence [PDF]
, 2017 Transformers are critical assets for the reliable and cost-effective operation of the power grid. Transformers may fail if condition monitoring does not identify degraded conditions in time.
Aizpurua, Jose Ignacio +7 more
core +1 more source
Conventional Dissolved Gases Analysis in Power Transformers: Review
Energies, 2023 Transformers insulated with mineral oil tend to form gases, which might be caused by system faults or extended use. Based on an evaluation of the main failure analysis techniques using combustible gases, this study reviewed the conventional techniques ...
Alcebíades Rangel Bessa +3 more
doaj +1 more source
Development of machine learning-based algorithm to determine the condition in transformer oil [PDF]
, 2021 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.
Mohsen Al-Katheri, Hussein Hasan
core
Energies, 2020 In determining the severity of power transformer faults, several approaches have been previously proposed; however, most published studies do not accommodate gas level, gas rate, and Dissolved Gas Analysis (DGA) interpretation in a single approach.
Rahman Azis Prasojo +4 more
doaj +1 more source
Fuzzy Algorithm for Power Transformer Diagnostics
Advances in Fuzzy Systems, 2013 Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography.
Nitin K. Dhote, Jagdish B. Helonde
doaj +1 more source
Dissolved Gas Analysis (DGA) of natural ester oils under arcing faults
Journal of Fundamental and Applied Sciences, 2018 No Abstract.
Hamid, M.H.A. +7 more
openaire +3 more sources