Machine Learning for the Detection and Diagnosis of Anomalies in Applications Driven by Electric Motors.
Fábio Ferraz JúniorRoseli Aparecida Francelin RomeroSheng-Jen HsiehPublished in: Sensors (2023)
Keyphrases
- machine learning
- anomaly detection
- automatic detection
- learning algorithm
- detection algorithm
- decision trees
- false positives
- detection method
- artificial intelligence
- machine learning algorithms
- object detection
- abnormal behavior
- natural language processing
- machine learning methods
- dc motor
- root cause
- computer vision
- learning systems
- computer science
- data analysis
- data mining
- knowledge acquisition
- computational intelligence
- information extraction
- active learning
- support vector machine
- model based reasoning
- explanation based learning
- machine learning approaches
- model based diagnosis
- medical diagnosis
- false alarms
- data driven
- detection rate
- computer aided
- text classification
- reinforcement learning