A Massively Parallel Approach to Real-Time Bearing Fault Detection Using Sub-Band Analysis on an FPGA-Based Multicore System.
Myeongsu KangJaeyoung KimIn-Kyu JeongJong-Myon KimMichael G. PechtPublished in: IEEE Trans. Ind. Electron. (2016)
Keyphrases
- feature extraction
- massively parallel
- fault detection
- feature vectors
- wavelet transform
- real time
- subband
- image compression
- fault diagnosis
- multiresolution
- feature selection
- data analysis
- scheduling problem
- industrial processes
- high frequency
- signal processing
- expert systems
- high quality
- image segmentation
- machine learning
- neural network