Pattern recognition (psychology)

Computer science

Digital signal processing

Wavelet packet decomposition

Spectral density

Computer hardware

Signal processing

Wavelet transform

Speech recognition

Computer vision

Wavelet

Hilbert transform

Telecommunications

Support vector machine

Hilbert–Huang transform

Filter (signal processing)

Embedded system

Artificial intelligence

Field-programmable gate array

IEEE Transactions on Industrial Informatics

This paper proposes a new signal segmentation method, reduced-sample empirical mode decomposition, to extract the highly correlated monocomponent mode of oscillations. The two efficacious power quality indices are extracted from the Hilbert transformed (HT) array of the first three intrinsic mode functions. A novel class-specific weighted random vector functional link network (CSWRVFLN) classifier is proposed to recognize the complex power quality disturbances (PQDs). The performance of reduced sample Hilbert-Huang transform (RSHHT) combined with CSWRVFLN (RSHHT-CSWRVFLN) method is tested and compared with tunable-Q Wavelet transform associated with HT and CSWRVFLN and empirical wavelet transform along with HT and CSWRVFLN methods. The short event detection, lesser computational complexity, superior classification accuracy, and robust antinoise performance are the major advantages of the proposed RSHHT-CSWRVFLN method. Furthermore, a field-programmable gate array embedded processor is used to test and validat...

FPGA-Based Online Power Quality Disturbances Monitoring Using Reduced-Sample HHT and Class-Specific Weighted RVFLN