Hilbert-Huang Transform in Fault Detection
نویسندگان
چکیده
منابع مشابه
Novel Hilbert Huang Transform Techniques for Bearing Fault Detection
........................................................................................................................................... i Acknowledgements......................................................................................................................... ii Table of
متن کاملFault Detection in Complex Distribution Network Based on Hilbert-Huang Transform
Traditional distribution network fault location methods often cannot be effectively applied for the structure of the branch in complex distribution network. A new accurate fault location for the single-phaseground fault in complex distribution network with structure of the branch based on Hilbert-Huang transform was proposed in this paper. First, the distribution network was modeled. The faults...
متن کاملShip Power Quality Detection based on Improved Hilbert-Huang Transform
Hilbert-Huang Transform (HHT) and its improved method are introduced to detect and analyze power quality in ship power system for the first time, in this paper. The HHT method is used to detect surge current, voltage sag and swell, voltage interruption, etc. of the ship power system. By means of Hilbert-Huang transform, Beginning time, ending time, time-frequency, timeamplitude of the disturban...
متن کاملOn the Hilbert-Huang Transform Theoretical Developments
One of the main heritage tools used in scientific and engineering data spectrum analysis is the Fourier Integral Transform and its high performance digital equivalent the Fast Fourier Transform (FFT). Both carry strong a-priori assumptions about the source data, such as linearity, of being stationary, and of satisfjmg the Dirichlet conditions. A recent development at the National Aeronautics an...
متن کاملHyperspectral Image Analysis Using Hilbert-huang Transform
ABSTRACT: Hyperspectral images, which contain rich and fine spectral information, can improve land use/cover classification accuracy, while traditional statistics-based classifiers cannot be directly used on such images with limited training samples. The commonly used method to solve this problem is dimensionality reduction, and this can be done by feature extraction for hyperspectral images. T...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Manufacturing
سال: 2019
ISSN: 2351-9789
DOI: 10.1016/j.promfg.2019.02.257