A distance e-learning platform for signal analysis and measurement using FFT
نویسندگان
چکیده
The fast Fourier transform (FFT) and the power spectrum are still powerful tools for analyzing and measuring both stationary and transient signals in power systems. However, the misapplications of FFT can lead to incorrect results caused by some problems such as aliasing effect, spectral leakage, and picket-fence effect. Measurement errors can be efficiently reduced by understanding fundamentals of FFT as well as loading proper windows. This article develops a distance e-learning environment using a graphical programming tool to help electrical students and engineers for enhancing their signal analysis capability via the Internet Explorer (IE). Critical issues pertaining to engineering education, such as programming design of signal analysis, Internet connection, expected learning outcomes, and course evaluation, are discussed in detail. 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 14: 1 12, 2009; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20292
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عنوان ژورنال:
- Comp. Applic. in Engineering Education
دوره 19 شماره
صفحات -
تاریخ انتشار 2011