Discrete Hilbert transformation and its application to estimate the wind speed in Hong Kong

Zuojin Zhu, Hongxing Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)

Abstract

Discrete Hilbert Transform (DHT) has been applied to estimate the wind speed with the sample data sequence selected from the data record observed by the observatory in Hong Kong in June 1989, during which the data pertain to deep valleys and sharp crests due to manifold weather conditions in this region. To confirm the performance of the discrete Hilbert transformer, two harmonic input sequences were used to inspect the output signals, whether good agreement with the theoretical results is obtained. It was found that the energy spectrum and the outputs for the two different harmonic discrete waves are certainly correct. After the inspection of the DHT filter, the sample data for wind speed in Hong Kong were used for wind speed forecasting. For zero mean input sequence, the variance of the output is the same as that of the input signals, and so is the energy spectrum. The DHT of an individual input sample can really reflect the local variation performance, since it is the convolution with the reciprocal of time and the input data sequence, but there exists phase shift. For harmonic signals, the output signal holds a 90° phase delay.
Original languageEnglish
Pages (from-to)9-18
Number of pages10
JournalJournal of Wind Engineering and Industrial Aerodynamics
Volume90
Issue number1
DOIs
Publication statusPublished - 1 Jan 2002

Keywords

  • Discrete Hilbert transform
  • Energy spectrum
  • Wind speed

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Civil and Structural Engineering
  • Mechanical Engineering

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