Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics - A Comprehensive Review.
Shen ZhangShibo ZhangBingnan WangThomas G. HabetlerPublished in: CoRR (2019)
Keyphrases
- machine learning
- learning algorithm
- machine learning algorithms
- deep architectures
- learning problems
- active learning
- deep learning
- learning tasks
- supervised learning
- fault diagnosis
- transfer learning
- fault detection
- decision trees
- pattern recognition
- expert systems
- machine learning methods
- computer science
- text classification
- knowledge acquisition
- learning models
- learning scheme
- back propagation
- artificial intelligence
- training examples
- unsupervised learning
- condition monitoring
- deep belief networks
- knowledge representation
- natural language
- training data
- knowledge base
- computer vision
- learning paradigms
- failure modes
- learning machines
- fault model
- explanation based learning
- machine learning approaches
- real world
- generalization error
- kernel methods
- learning systems
- model selection
- computational intelligence
- information extraction
- support vector machine
- knowledge discovery
- learning process
- feature selection