Reliable IoT Paradigm With Ensemble Machine Learning for Faults Diagnosis of Power Transformers Considering Adversarial Attacks.
Mahmoud N. AliMohammed AmerMahmoud ElsisiPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- fault diagnosis
- power transformers
- machine learning
- fault detection
- neural network
- fault detection and diagnosis
- multiple faults
- expert systems
- fuzzy logic
- learning algorithm
- management system
- condition monitoring
- fault detection and isolation
- fault identification
- security problems
- machine learning algorithms
- feature selection
- big data
- text classification
- artificial intelligence
- data mining
- ensemble learning
- supervised learning
- support vector machine
- ensemble methods
- condition monitoring and assessment
- decision trees
- multi agent
- data analysis
- training set
- security mechanisms
- countermeasures
- active learning
- artificial neural networks
- fault isolation
- computer science
- location information
- watermarking scheme
- natural language processing