دانلود مقاله ISI انگلیسی شماره 152303
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل مشخصه تشدید استوکاستیک تابع پتانسیل جدید تحت نویز لوی و تشخیص گسل تحمل

عنوان انگلیسی
Stochastic resonance characteristic analysis of new potential function under Levy noise and bearing fault detection
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
152303 2018 29 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Chinese Journal of Physics, Volume 56, Issue 2, April 2018, Pages 538-560

ترجمه کلمات کلیدی
سیستم بیضوی غیر خطی تقسیم شده، صدای لوی افزایش متوسط ​​سیگنال به نویز، رزونانس تصادفی، شناسایی خطای باربری،
کلمات کلیدی انگلیسی
Piecewise nonlinear bistable system; Levy noise; Mean signal-to-noise ratio gain; Stochastic resonance; Bearing fault detection;
پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل مشخصه تشدید استوکاستیک تابع پتانسیل جدید تحت نویز لوی و تشخیص گسل تحمل

چکیده انگلیسی

Based on the output saturation of classcial bistable stochastic resonance (CBSR), a new type of piecewise nonlinear bistable stochastic resonance (PNBSR) system is constructed. The mean signal-to-noise ratio gain is regarded as an index to measure the stochastic resonance phenomenon. The laws for the resonant output of piecewise nonlinear bistable system governed by l, c, a, b and D of Levy noise are explored under different characteristic index α and symmetry parameter β of Levy noise. The results show that the output of PNBSR system has increased 4 dB by comparing with the output signal-to-noise ratio of CBSR system. And the stochastic resonance phenomenon can be induced by adjusting the piecewise nonlinear system's parameters under any α or β of Levy noise. The interval of the parameters of system which induces good stochastic resonance is roughly the same. And the output signal waveform of resonance is very similar to the input signal waveform, which has some reference value for the signal recovery. Moreover, we can find the good stochastic resonance interval of the system parameters do not change with D of Levy noise under the different noise intensity D of Levy noise. On the basis of this, adjusting the intensity amplification factor D of Levy noise, which induces good stochastic resonance, and the interval does not change with α or β. At last, the piecewise nonlinear bistable system is applied to detect bearing fault signals, which achieves better performance compared with the classical bistable system.