Forecasting Imminent Failures in Electrical Industrial Centrifuge using Machine Learning.
Leandro Ferreira Moura FilhoRodrigo de Paula MonteiroDiego PinheiroPatricia Takako EndoAndrea Maria Nogueira Cavalcanti RibeiroPublished in: LA-CCI (2023)
Keyphrases
- machine learning
- machine learning methods
- short term
- industrial applications
- data mining
- pattern recognition
- feature selection
- artificial intelligence
- decision trees
- information extraction
- inductive learning
- transmission line
- machine learning approaches
- knowledge discovery
- support vector machine
- natural language processing
- text classification
- learning tasks
- machine learning algorithms
- explanation based learning
- learning algorithm
- root cause
- engineering and computer science
- data analysis
- computer science
- technology transfer
- power grid
- learning problems
- distribution networks
- electricity consumption
- medium term
- load forecasting
- forecasting model
- inductive logic programming
- reinforcement learning
- active learning
- support vector