کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
561187 1451875 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gear parameter identification in a wind turbine gearbox using vibration signals
ترجمه فارسی عنوان
شناسایی پارامتر دنده در جعبه دنده توربین بادی با استفاده از سیگنال های ارتعاش
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• Fine Tuned Harmonic/Sideband cursor approach for the blind determination of the number of teeth for each gear of a wind turbine.
• Real life signals taken from a wind turbine.
• A challenging Wind turbine signal order tracking with no reference tachometer.
• A Practical Example for understanding the system characteristics through vibration signal.

When carrying out vibration-based diagnosis of gearboxes it is desirable to know the numbers of teeth on all gears, so as to be able to calculate toothmesh frequencies and rotational speeds of all shafts. If the speed varies, this information must be obtained in the form of “shaft orders” related to the input and/or output speed. This paper describes how it was possible to extract most of this information from the vibration signal itself in the case of a wind turbine gearbox with one planetary and two helical parallel stages. Using a spectrogram, a section of signal was first found with minimal speed variation (about 4%) after which the instantaneous speed information was extracted by frequency demodulation of dominant speed related components. After order tracking based on this it was found possible to determine the numbers of teeth in the two parallel stages, using very accurate harmonic cursors applied to each of the shafts of pairs of gears in mesh (with common mesh frequency). This was successful for the two parallel stages, but the proposed estimates of the tooth numbers in the planetary section are subject to some doubt. Allowable combinations are quite restricted using the normally applied rules, but there can be exceptions. Even so, the presented approach is confirmed as a viable method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 42, Issues 1–2, January 2014, Pages 368–376
نویسندگان
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