The Application of Duffing Oscillator in Weak Signal Detection

Jalilvand, Abolfazl; Fotoohabadi, Hadi

doi:10.37936/ecti-eec.201191.172249

Cited by 8 publications

(1 citation statement)

References 6 publications

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“…Typical models of chaotic dynamics include the Duffing equation [17], the Van-der-pol system [18], logistic mapping [19], and the Loren attractor [20], among which the Duffing equation is a typical model of chaotic dynamics that has garnered significant attention in the field of signal detection, due to its inclusion of a periodic excitation term. Jalilvand [21] examined the impact of frequency, phase, and noise on a weak signal in a Duffing oscillator. Nohara [22] researched the response of the Duffing system when subjected to square wave excitation, assessing its potential for square wave detection.…”

Section: Introductionmentioning

confidence: 99%

Rail Flaw Detection via Kolmogorov Entropy of Chaotic Oscillator Based on Ultrasonic Guided Waves

Zeng,

Wu,

Zheng

et al. 2024

Sensors

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Ultrasonic guided wave (UGW) inspection is an emerging non-destructive testing(NDT) technique for rail flaw detection, where weak UGW signals under strong noise backgrounds are difficult to detect. In this study, a UGW signal identification model based on a chaotic oscillator is established. The approach integrates the UGW response into the critical state of the Duffing system to serve as a disturbance control variable. By evaluating the system’s motion state before and after introducing the UGW response, identification of UGW signals can be realized. Thus, the parameters defining the critical state of Duffing oscillators are determined by Ke. Moreover, an electromagnetic transducer was specifically devised to enable unidirectional excitation for UGWs targeted at both the rail base and rail head. Experimental studies showed that the proposed methodology effectively detected and located a 0.46 mm notch at the rail base and a 1.78 mm notch at the rail head. Furthermore, Ke was directly proportional to the notch size, which could be used as a quantitative index to characterize the rail flaw.

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