کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4924380 1430841 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Compound faults detection in gearbox via meshing resonance and spectral kurtosis methods
ترجمه فارسی عنوان
تشخیص گسل های تلفیقی در گیربکس با استفاده از رزونانس مشت و روش های طوفان کورتوزیس
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی
Kurtosis-based impulsive component identification is one of the most effective algorithms in detecting localized faults in both gearboxes and rolling bearings. However, if localized faults exist in both gear tooth and rolling bearing simultaneously it is difficult to tell the differences between the two types of defects. As such, this study proposes a new method to solve the problem by using the meshing resonance and spectral kurtosis (SK) algorithms together. In specific, the raw signal is first decomposed into different frequency bands and levels, and then the corresponding Kurtogram and MRgram are calculated via the fault SK analysis and the meshing index. Furthermore, the resonance frequency bands induced by localized faults of the gear tooth and rolling bearing are separately identified by comparing the Kurtogram and the MRgram. Finally, the compound faults are respectively detected using envelope analysis. The effectiveness of the proposed method has been validated via both simulated and experimental gearboxes vibration signals with compound faults.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Sound and Vibration - Volume 392, 31 March 2017, Pages 367-381
نویسندگان
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