Anomaly Detection Support Vector Machine and Its Application to Fault Diagnosis.
Ryohei FujimakiPublished in: ICDM (2008)
Keyphrases
- anomaly detection
- fault diagnosis
- support vector machine
- intrusion detection
- neural network
- expert systems
- gas turbine
- fault detection
- network intrusion detection
- detecting anomalies
- one class support vector machines
- anomalous behavior
- fuzzy logic
- network traffic
- electronic equipment
- fault detection and diagnosis
- multi class
- support vector
- chemical process
- rotating machinery
- analog circuits
- machine learning
- operating conditions
- intrusion detection system
- power transformers
- bp neural network
- monitoring and fault diagnosis
- network anomaly detection
- feature selection
- multi sensor information fusion
- feature vectors
- training data
- support vector machine svm
- radial basis function
- kernel function
- computational intelligence
- multiple faults
- artificial neural networks
- data mining
- clustering analysis
- support vector regression
- unsupervised learning
- text classification
- image segmentation
- artificial intelligence