Fast Fault Diagnosis in Industrial Embedded Systems Based on Compressed Sensing and Deep Kernel Extreme Learning Machines.
Nanliang ShanXinghua XuXianqiang BaoShaohua QiuPublished in: Sensors (2022)
Keyphrases
- embedded systems
- compressed sensing
- fault diagnosis
- extreme learning machines
- industrial systems
- gas turbine
- image reconstruction
- chemical process
- fault detection
- low cost
- fault diagnostic
- neural network
- industrial processes
- natural images
- expert systems
- sparse representation
- random projections
- fuzzy logic
- kernel function
- industrial applications
- monitoring and fault diagnosis
- operating conditions
- software systems
- multi sensor information fusion
- support vector
- signal processing
- real time
- denoising
- feature space
- super resolution
- fourier domain
- artificial intelligence