Power Transformer Fault Diagnosis Based on DGA Using a Convolutional Neural Network With Noise in Measurements.
Ibrahim B. M. TahaSaleh IbrahimDiaa-Eldin A. MansourPublished in: IEEE Access (2021)
Keyphrases
- fault diagnosis
- power transformers
- convolutional neural network
- neural network
- condition monitoring
- fault detection
- expert systems
- face detection
- bp neural network
- fuzzy logic
- fault detection and diagnosis
- failure diagnosis
- operating conditions
- vibration signal
- rotating machinery
- electronic equipment
- gas turbine
- multiple faults
- monitoring and fault diagnosis
- industrial systems
- noise reduction
- fault identification
- chemical process
- multi sensor information fusion
- fault diagnostic
- electrical power systems
- power spectrum
- median filter
- fault tree
- power plant
- steam turbine
- mathematical model
- object detection
- machine learning