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

Huang, Jinbo; Zheng, Zhen; Zhou, Yu; Tan, Yuran; Wang, Chengjun; Xu, Guangbo; Zha, Bingting

Huang, Jinbo; Zheng, Zhen; Zhou, Yu; Tan, Yuran; Wang, Chengjun; Xu, Guangbo; Zha, Bingting.

Afiliação

Huang J; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Zheng Z; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Zhou Y; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Tan Y; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Wang C; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Xu G; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Zha B; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Sensors (Basel) ; 23(22)2023 Nov 20.

Article em En | MEDLINE | ID: mdl-38005680

Palavras-chave

compound tri-stable; magnetic anomaly detection; signal-to-noise ratio; stochastic resonance

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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