Deep learning based nonlinear principal component analysis for industrial process fault detection.
Xiaogang DengXuemin TianSheng ChenChris J. HarrisPublished in: IJCNN (2017)
Keyphrases
- industrial processes
- deep learning
- industrial process
- fault detection
- principal component analysis
- fault diagnosis
- unsupervised learning
- machine learning
- dimensionality reduction
- weakly supervised
- mental models
- quality improvement
- fuel cell
- tennessee eastman
- face recognition
- neural network
- data points
- feature space
- feature extraction
- decision making
- computer vision