Recognition of abnormal patterns in industrial processes with variable window size via convolutional neural networks and AdaBoost.
Ahmed MagedMin XiePublished in: J. Intell. Manuf. (2023)
Keyphrases
- window size
- convolutional neural networks
- industrial processes
- abnormal patterns
- convolutional network
- industrial process
- fault detection
- sliding window
- quality improvement
- window sizes
- object detection
- learning algorithm
- support vector
- welding process
- face detection
- real time
- training data
- decision trees
- streaming data
- feature extraction
- fault detection and isolation
- control charts
- neural network
- feature selection
- case study
- unsupervised learning
- control system
- data streams