Predictive maintenance on sensorized stamping presses by time series segmentation, anomaly detection, and classification algorithms.
Daniel CoelhoDiogo CostaEugénio M. RochaDuarte AlmeidaJosé P. SantosPublished in: ISM (2021)
Keyphrases
- anomaly detection
- intrusion detection
- one class support vector machines
- pattern recognition
- detecting anomalies
- intrusion detection system
- decision trees
- learning algorithm
- unsupervised learning
- machine learning
- network intrusion detection
- network security
- pattern classification
- network traffic
- support vector
- image processing
- itemsets
- text classification
- active learning
- training set
- face recognition
- image segmentation
- behavior analysis
- computer security
- anomalous behavior
- data sets