Bayesian Sample Size Determination of Vibration Signals in Machine Learning Approach to Fault Diagnosis of Roller Bearings.
Siddhant SahuV. SugumaranPublished in: CoRR (2014)
Keyphrases
- sample size
- fault diagnosis
- vibration signal
- machine learning
- condition monitoring
- model selection
- monitoring and fault diagnosis
- fault detection
- operating conditions
- neural network
- expert systems
- upper bound
- fuzzy logic
- feature selection
- decision trees
- data mining
- artificial intelligence
- support vector machine
- wavelet transform
- worst case
- wavelet analysis
- autoregressive
- statistical tests
- morphological filters
- denoising
- learning algorithm
- face recognition
- real time
- median filter
- artificial neural networks
- computational intelligence
- multiresolution
- feature vectors