کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
565474 1451859 2016 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-frequency weak signal detection based on wavelet transform and parameter compensation band-pass multi-stable stochastic resonance
ترجمه فارسی عنوان
تشخیص ضعیف چند فرکانس بر مبنای تبدیل موجک و گشتاور پارامترهای رزونانس تصادفی چند مرحله ای باند عبور
کلمات کلیدی
تشخیص سیگنال ضعیف، تبدیل موجک، رزونانس اتفاقی چند ثبات، جبران پارامتر، چند فرکانس
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• Propose a multi-stable stochastic resonance (SR) method for weak signal detection.
• Signal is decomposed into different scale plurality signals by wavelet transform.
• The method combines the band-pass filtering technique with multi-stable SR.
• A new method: parameter compensation band-pass multi-stable SR.

In actual fault diagnosis, useful information is often submerged in heavy noise, and the feature information is difficult to extract. A novel weak signal detection method aimed at the problem of detecting multi-frequency signals buried under heavy background noise is proposed based on wavelet transform and parameter compensation band-pass multi-stable stochastic resonance (SR). First, the noisy signal is processed by parameter compensation, with the noise and system parameters expanded 10 times to counteract the effect of the damping term. The processed signal is decomposed into multiple signals of different scale frequencies by wavelet transform. Following this, we adjust the size of the scaled signals' amplitudes and reconstruct the signals; the weak signal frequency components are then enhanced by multi-stable stochastic resonance. The enhanced components of the signal are processed through a band-pass filter, leaving the enhanced sections of the signal. The processed signal is analyzed by FFT to achieve detection of the multi-frequency weak signals. The simulation and experimental results show that the proposed method can enhance the signal amplitude, can effectively detect multi-frequency weak signals buried under heavy noise and is valuable and usable for bearing fault signal analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volumes 70–71, March 2016, Pages 995–1010
نویسندگان
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