Magnetic Anomaly Detection Based on a Compound Tri-Stable Stochastic Resonance System

Article Nanoscience & Nanotechnology

Adaptive cascade detection of weak magnetic anomalies based on marine predators algorithm-stochastic resonance

Hexuan Sun et al.

Summary: Magnetic anomaly detection is a new technology that utilizes the magnetization of ferromagnetic targets by the geomagnetic field to generate abnormal magnetic fields. An adaptive cascade weak magnetic anomaly detection method based on Marine Predators Algorithm-Stochastic Resonance (MPA-SR) is proposed to effectively detect weak magnetic anomaly signals in complex underwater environments. The method combines low-pass filtering, stochastic resonance, and threshold detection to improve the detection probability of magnetic anomaly signals.

AIP ADVANCES (2023)

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Article Engineering, Electrical & Electronic

The Novel Method of Magnetic Anomaly Recognition Based on the Fourth Order Aperiodic Stochastic Resonance

Tao Qin et al.

Summary: This paper proposes a magnetic anomaly recognition method based on fourth-order aperiodic stochastic resonance, which can effectively detect and identify weak magnetic anomaly signals generated by targets in the background of strong interference noise.

IEEE SENSORS JOURNAL (2022)

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Article Engineering, Mechanical

Piecewise Unsaturated Under-Damped Tri-stable Stochastic Resonance System and Its Application in Bearing Fault Diagnosis

Gang Zhang et al.

Summary: This study introduces a novel PUUTSR system that overcomes the output saturation issue of the CTSR system, demonstrating superior signal amplification and fault diagnosis capabilities in numerical simulations and experiments.

JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES (2021)

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Article Computer Science, Information Systems