Non-contact harmonic detection of ferromagnetic material defects based on SQGSR and OPLTF

• Autorzy: Zhao Yizhen , Wang Xinhua , Chen Yingchun , Ju Haiyang , Shuai Yi

Identyfikatory

DOI

10.24425/mms.2021.135992

• Języki publikacji: EN

Abstrakty

EN

In order to find the defects in ferromagnetic materials, a non-contact harmonic detection method is proposed. According to the principle of frequency modulated carrier wave, a tunnel magneto resistance harmonic focusing vector array detector was designed which radiates lower and higher frequency electromagnetic waves through the coil array to the detection targets. We use bistable stochastic resonance to enhance the energy of collected weak target signal and apply quantum computation and a Sobol low deviation sequence to improve genetic algorithm performance. Then we use the orthogonal phase-locked loop to eliminate the intrinsic background excitation field and tensor calculations to fuse the vector array signal. The finite element model of array detector and the magnetic dipole harmonic numerical model were also established. The simulation results show that the target signal can be identified effectively, its focusing performance is improved by 2 times, and the average signal-to-noise ratio is improved by 9.6 times after the algorithm processing. For the experiments, we take Q235 steel pipeline as the object to realize the recognition of three defects. Compared with the traditional methods, the proposed method is more effective for ferromagnetic materials defects detection.

Słowa kluczowe

EN

harmonic detection; ferromagnetic materials defects; focusing vector array; signal extraction algorithm

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2021
• Tom: Vol. 28, nr 1
• Strony: 55--72
• Opis fizyczny: Bibliogr. 31 poz., rys., tab., wykr., wzory

Twórcy

autor

Zhao Yizhen

• Beijing University of Technology, College of Mechanical Engineering and Applied Electronics Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China

autor

Wang Xinhua

• Beijing University of Technology, College of Mechanical Engineering and Applied Electronics Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China

autor

Chen Yingchun

• Beijing University of Technology, College of Mechanical Engineering and Applied Electronics Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China

autor

Ju Haiyang

• Beijing University of Technology, College of Mechanical Engineering and Applied Electronics Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China

autor

Shuai Yi

• Beijing University of Technology, College of Mechanical Engineering and Applied Electronics Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China

Bibliografia

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Uwagi

1. This study was supported by the National Key Research and Development Program of China (grant # 2017YFC0805005-1) and the Key Project of Beijing Municipal Education Commission (grant # KZ201810005009).

2. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).