Abstract
Stochastic resonance (SR) has been proved to be an effective approach for weak sensor signal detection. This study presents a new weak signal detection method based on a SR in an underdamped system, which consists of a pinning potential model. The model was firstly discovered from magnetic domain wall (DW) in ferromagnetic strips. We analyze the principle of the proposed underdamped pinning SR (UPSR) system, the detailed numerical simulation and system performance. We also propose the strategy of selecting the proper damping factor and other system parameters to match a weak signal, input noise and to generate the highest output signal-to-noise ratio (SNR). Finally, we have verified its effectiveness with both simulated and experimental input signals. Results indicate that the UPSR performs better in weak signal detection than the conventional SR (CSR) with merits of higher output SNR, better anti-noise and frequency response capability. Besides, the system can be designed accurately and efficiently owing to the sensibility of parameters and potential diversity. The features also weaken the limitation of small parameters on SR system.
Highlights
Weak signal detection is a challenging task in sensor signal detection and early machinery fault diagnosis
This paper investigates a new potential model to realize underdamped stochastic resonance (SR) system
A weak periodic signal detection strategy based on underdamped pinning SR (UPSR) is further proposed and explained in detail by exploring the influences of system parameters and performances with different input signals
Summary
Weak signal detection is a challenging task in sensor signal detection and early machinery fault diagnosis. Combining the UPSR with a parameter tuning method, we propose a new strategy to realize weak signal detection for bearing fault diagnosis. Some significant superiorities are revealed by the latter studies, which means that better anti-noise ability and frequency response are found in detection of signal with strong background noise It possesses better features of the nonlinear filtering via the pinning potential and the system can be improved more accurately and due to its parameter sensibility. The theory of UPSR and the numerical analysis method are introduced, where the novel potential model is analyzed and a weak signal detection scheme is discussed.
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