Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review.
Syahril Ramadhan SaufiZair Asrar Bin AhmadMohd Salman LeongMeng Hee LimPublished in: IEEE Access (2019)
Keyphrases
- information extraction
- learning models
- fault detection and diagnosis
- conditional random fields
- machine learning
- fault diagnosis
- learning tasks
- loss function
- semi supervised learning
- machine learning algorithms
- fault detection
- learning algorithm
- learning problems
- classification models
- induction motor
- evolutionary algorithm
- higher order
- computational intelligence
- feature selection
- data sets
- text categorization
- simulated annealing
- expert systems