A critical element of structural intelligence monitoring is to separate the vehicle-induced
response from the original monitoring signal in real time. To separate the vehicle-induced …

Harmonic components are critically important to the fault diagnosis of rotor system. Various
methods have been developed for harmonic component extraction. The challenge however …

Voltage dips are significant threat for distributed generation (DG) connected via grid-tie
inverter to the power system. Fast detection of voltage dips is essential for proper operation …

The sliding discrete Fourier transform provides an alternative to the FFT, permitting a custom
choice of frequency decomposition which outputs an update after each input sample. The …

Digital filters for recursively computing the discrete Fourier transform (DFT) and estimating
the frequency spectrum of sampled signals are examined, with an emphasis on magnitude …

The occurrence of electric arcs will pose a huge threat to personal safety and equipment
safety. The identification and prevention of electric arcs is an indispensable part of ensuring …

The sliding discrete Fourier transform (DFT) is a well-known algorithm for obtaining a few
frequency components of the DFT spectrum with a low computational cost. However, the …

A new real time recursive very large FFT algorithm on DSP platforms is presented, which is
based on the “sparsity” characteristic of the incremental data and breaks the bottleneck of …

U ovoj doktorskoj disertaciji je predstavljena je nova metoda za detekciju propada napona,
zasnovana na Rekurentnoj neuronskoj mreži i analizi u harmonijskom domenu. Metoda je …

In order to meet the needs of large number of overlapping samples in sequential fine feature
extraction, this work proposes a frame by frame (segment) iterative algorithm based on the" …