Archives of Mining Sciences

Roskosz, Maciej; Witoś, Mirosław; Molski, Szymon

doi:10.24425/118896

2018

DOI: 10.24425/118896

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Archives of Mining Sciences

Maciej Roskosz¹,

Mirosław Witoś²,

Szymon Molski³

Abstract: The study explores potential applications of magnetometric sensors based on amorphous materials in diagnostics of wire ropes without external magnetic fields. Ready availability of magneto-impedance technology makes it suitable for innovative sensor applications, to register magnetic anomalies arising in wire ropes. These anomalies are associated with wire deformations and cracking, including cracks which do no generate air gaps encountered in compact ropes widely operated in hoisting installations in mines.

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Use of Time-Dependent Multispectral Representation of Magnetic Barkhausen Noise Signals for the Needs of Non-Destructive Evaluation of Steel Materials

Maciusowicz

Psuj

2019

Sensors

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Due to the existing relationship between microstructural properties and magnetic ones of the ferromagnetic materials, the application potential of the magnetic Barkhausen noise (BN) method to non-destructive testing is constantly growing. However, the stochastic nature of the Barkhausen effect requires the use of advanced signal processing methods. Recently, the need to apply time-frequency (TF) transformations to the processing of BN signals arose. However, various TF methods have been used in the majority of cases for qualitative signal conditioning and no extensive analysis of TF-based information has been conducted so far. Therefore, in this paper, the wide analysis of BN TF representation was carried out. Considering the properties of TF transformations, the Short-Time Fourier Transform (STFT) was used. A procedure for definition of the envelopes of the TF characteristic was proposed. To verify the quality of extracted features, an analysis was performed on the basis of BN signals acquired during stress loading experiments of steel elements. First, the preliminary experiments were processed for various parameters of the measuring system and calculation procedures. The feature extraction procedure was performed for different modes of TF representations. Finally, the distributions of TF features over the loading stages are presented and their information content was validated using commonly used features derived from time T and frequency F domains.

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Use of Time-Dependent Multispectral Representation of Magnetic Barkhausen Noise Signals for the Needs of Non-Destructive Evaluation of Steel Materials

Maciusowicz

Psuj

2019

Sensors

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show abstract

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Archives of Mining Sciences

Cited by 1 publication

References 2 publications

Use of Time-Dependent Multispectral Representation of Magnetic Barkhausen Noise Signals for the Needs of Non-Destructive Evaluation of Steel Materials

Use of Time-Dependent Multispectral Representation of Magnetic Barkhausen Noise Signals for the Needs of Non-Destructive Evaluation of Steel Materials

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