Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks.
Yiwei ChengHaiping ZhuJun WuXinyu ShaoPublished in: IEEE Trans. Ind. Informatics (2019)
Keyphrases
- recurrent neural networks
- spectral clustering
- long short term memory
- health monitoring
- monitoring system
- normalized cut
- clustering method
- data clustering
- feed forward
- pairwise
- neural network
- graph laplacian
- artificial neural networks
- sensor data
- k means
- affinity matrix
- daily life
- image segmentation
- smart environments
- kernel function
- echo state networks
- power supply
- similarity matrix
- constrained spectral clustering
- support vector
- clustering algorithm
- reproducing kernel hilbert space
- kernel matrix
- neural network model
- kernel methods
- feature space
- feature extraction
- machine learning