Hybrid data augmentation method for combined failure recognition in rotating machines.
Dionísio MartinsAmaro A. de LimaMilena F. PintoDouglas de O. HemerlyThiago de M. PregoFabrício Lopes e SilvaLuís TarratacaUlisses A. MonteiroRicardo H. R. GutiérrezDiego B. HaddadPublished in: J. Intell. Manuf. (2023)
Keyphrases
- synthetic data
- data sets
- missing data
- input data
- data collection
- database
- support vector machine
- pairwise
- data structure
- prior information
- noisy data
- training data
- data processing
- high accuracy
- test data
- statistical methods
- image data
- probabilistic model
- cost function
- spectral clustering
- missing values
- human activities
- segmentation method
- original data
- high quality
- detection method
- recognition algorithm
- model selection
- information loss
- recognition process
- probability distribution
- prior knowledge
- high dimensional data
- character recognition
- correlation analysis
- recognition accuracy
- neural network
- object recognition
- clustering method
- d objects
- support vector
- knowledge discovery
- xml documents