Deep learning for diagnosis and classification of faults in industrial rotating machinery.
Roberto M. SouzaErick Giovani Sperandio NascimentoUbatan A. MirandaWenisten J. D. SilvaHerman Augusto LepiksonPublished in: Comput. Ind. Eng. (2021)
Keyphrases
- rotating machinery
- deep learning
- fault diagnosis
- fault detection
- unsupervised learning
- machine learning
- restricted boltzmann machine
- neural network
- support vector machine
- decision trees
- feature extraction
- pattern recognition
- unsupervised feature learning
- image classification
- expert systems
- feature selection
- supervised learning
- text classification
- maximum likelihood
- feature vectors
- model based diagnosis
- support vector
- multiscale
- data sets
- fuzzy logic
- mental models
- image segmentation