Evaluation of Machine Learning for Sensorless Detection and Classification of Faults in Electromechanical Drive Systems.
Tobias GrünerFalco BöllhoffRobert MeisetschlägerAlexander VydrenkoMartyna BatorAlexander DicksAndreas TheisslerPublished in: KES (2020)
Keyphrases
- machine learning
- pattern recognition
- machine learning approaches
- machine learning methods
- feature selection
- decision trees
- classification systems
- learning systems
- supervised learning
- classification accuracy
- machine learning algorithms
- automatic detection
- text classification
- management system
- detection algorithm
- semi supervised learning
- detection method
- data sets
- classification method
- complex systems
- distributed systems
- pattern classification
- automatic classification
- classification scheme
- preprocessing
- feature extraction
- supervised machine learning
- robust detection
- learning tasks
- classification rules
- unsupervised learning
- false positives
- support vector machine svm
- model selection
- computer systems
- text mining
- object detection
- active learning
- data analysis
- computer vision
- learning algorithm
- data mining