کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5004318 1461192 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The use of SESK as a trend parameter for localized bearing fault diagnosis in induction machines
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
The use of SESK as a trend parameter for localized bearing fault diagnosis in induction machines
چکیده انگلیسی


- Vibration signals are commonly used for bearing condition monitoring.
- A critical work is locating the optimum frequency band that contains faulty bearing signal.
- The SESK method to determine optimum envelope analysis is presented.
- We have verified the potential of the SESK diagnostic methodology using real vibration data.

A critical work of bearing fault diagnosis is locating the optimum frequency band that contains faulty bearing signal, which is usually buried in the noise background. Now, envelope analysis is commonly used to obtain the bearing defect harmonics from the envelope signal spectrum analysis and has shown fine results in identifying incipient failures occurring in the different parts of a bearing. However, the main step in implementing envelope analysis is to determine a frequency band that contains faulty bearing signal component with the highest signal noise level. Conventionally, the choice of the band is made by manual spectrum comparison via identifying the resonance frequency where the largest change occurred. In this paper, we present a squared envelope based spectral kurtosis method to determine optimum envelope analysis parameters including the filtering band and center frequency through a short time Fourier transform. We have verified the potential of the spectral kurtosis diagnostic strategy in performance improvements for single-defect diagnosis using real laboratory-collected vibration data sets.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISA Transactions - Volume 63, July 2016, Pages 436-447
نویسندگان
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