A comparative study of three artificial neural networks for the detection and classification of gear faults.
Issam Abu-MahfouzPublished in: Int. J. Gen. Syst. (2005)
Keyphrases
- artificial neural networks
- classification accuracy
- fault diagnosis
- pattern recognition
- neural network
- automatic detection
- classification systems
- decision trees
- text classification
- image classification
- machine learning
- neyman pearson
- robust detection
- classification scheme
- false alarms
- pattern classification
- support vector machine
- machine learning methods
- classification method
- object detection
- feature extraction and classification
- spam detection
- feature extraction
- classification models
- feature vectors
- detection rate
- decision rules
- class labels
- benchmark datasets
- detection algorithm
- support vector machine svm
- computational intelligence
- knn
- false positives
- test cases
- training set
- machine learning algorithms
- support vector
- automatic classification
- model based diagnosis
- feature selection
- learning algorithm
- genetic algorithm