Identification of Ground Fault Causes in Distribution Lines for Large-Scale Power Customers Using Machine Learning.
Ryoma MatsubaraTakashi OnodaPublished in: IEEM (2023)
Keyphrases
- machine learning
- fault diagnosis
- probability distribution
- small scale
- hough transform
- learning systems
- real world
- inductive learning
- machine learning methods
- service providers
- learning algorithm
- artificial intelligence
- decision trees
- single server queue
- customer behavior
- fault detection
- power consumption
- data distribution
- computer vision
- machine learning approaches
- pattern recognition
- computational intelligence
- text mining
- natural language processing
- service times
- knowledge discovery
- knowledge representation
- customer satisfaction
- spatial distribution
- marketing strategies
- electrical power
- gaussian distribution
- inductive logic programming
- steady state
- random variables
- knowledge acquisition
- information extraction
- expert systems
- data analysis
- natural language
- data mining