Analysis in the time-frequency domain of different depths of a crack located in a change of section of a shaft

Zamorano, Marta; Gómez, María José; Castejón, Cristina; Corral, Eduardo

doi:10.1007/978-3-030-20131-9_405

Cited by 3 publications

(12 citation statements)

References 46 publications

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“…With the orthogonality property, the independence of the signal representation for different decomposition levels is ensured, that is, no redundant information is generated and therefore false signal is avoided.Application for DWT and therefore, for WPT.Similarity with the study signals. They are visually similar to the mechanical impulse response.Common use in related works (Gómez et al, 2016a, 2016b; Gómez-Luna et al, 2013; Zamorano et al, 2019). …”

Section: Methodology For the Selectionmentioning

confidence: 73%

“…In Gómez et al (2016a), the WPT energy is calculated using db6, to detect a crack located at the change of section of a scale model of a wheelset axle. In this work and in other related ones (Gómez et al, 2016b;Zamorano et al, 2019), the db6 has been proved to be a good function to obtain useful patterns for shaft crack detection.…”

Section: Wavelet Packet Transformmentioning

confidence: 80%

“…The experimental system is explained in detail in previous work (Zamorano et al, 2019). These vibratory signals were obtained on a test bench from the company SpectraQuest Inc. shown in Figure 4 and using an acquisition chain formed by an accelerometer (Brüel & Kjaer 4383), a NEXUS signal conditioner (Brüel & Kjaer 2693), a data acquisition card (Keithley KUSB-3100), and a computer to process these signals.

Figure 4.Test bench to obtain vibratory signals.…”

Section: Experimental Testmentioning

confidence: 99%

“…The experimental system is explained in detail in previous work (Zamorano et al, 2019). These vibratory signals The shaft is a model of a railway axle, on a scale of 1:8 and whose diameter is 20.77 mm.…”

Section: Experimental Testmentioning

confidence: 99%

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Selection of a mother wavelet as identification pattern for the detection of cracks in shafts

Zamorano

Gómez

Castejón

2021

Journal of Vibration and Control

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Nowadays, there are many methods to detect and diagnose defects in mechanical components during operation. The newest methods that can be found in the literature are based on intelligent classification systems and evaluation of patterns to obtain a diagnosis; however, there is not any standard method to assess features. Wavelet packet transform allows to obtain interesting patterns for evaluating the condition of rotating elements. To perform this calculation, it is necessary to select a series of parameters that affect the resulting pattern. These parameters are the decomposition level and the mother wavelet function. A detailed methodology for the selection of the mother wavelet is proposed, which is the aim of this work, to obtain the most suitable patterns in the diagnostic task. This proposed methodology is applied to data obtained from a rotating shaft with a crack located at the change of section. These signals were measured at low rotation frequency (below the critical rotation frequency) and without eccentricity, where detection becomes more complex.

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Section: Methodology For the Selectionmentioning

confidence: 73%

Section: Wavelet Packet Transformmentioning

confidence: 80%

Figure 4.Test bench to obtain vibratory signals.…”

Section: Experimental Testmentioning

confidence: 99%

Section: Experimental Testmentioning

confidence: 99%

See 2 more Smart Citations

Selection of a mother wavelet as identification pattern for the detection of cracks in shafts

Zamorano

Gómez

Castejón

2021

Journal of Vibration and Control

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“…Contact-impact phenomena, which are present in almost all branches of engineering [23][24][25], are included in the latter. Contact forces and, specifically, impact events are responsible for the appearance of harmful phenomena in mechanical elements such as vibrations [26], wave propagation [27], fatigue [28], wear [29], crack [30], etc. Sudden changes take place during impact processes, in which the conditions of the mechanical system vary in short times.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear phenomena of contact in multibody systems dynamics: a review

et al. 2021

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In the present work, an introduction to the contact phenomena in multibody systems is made. The different existing approaches are described, together with their most distinctive features. Then, the term of coefficient of restitution is emphasized as a tool to characterize impact events and the algorithm for calculating the relative indentation between two convex-shaped bodies is developed. Subsequently, the main penalty contact models developed in the last decades are presented and developed, analysing their advantages and drawbacks, as well as their respective applications. Furthermore, some models with specific peculiarities that could be useful to the reader are included. The aim of this work is to provide a resource to the novice researcher in the field to facilitate the choice of the appropriate contact model for their work.

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Optimal Selection of the Mother Wavelet in WPT Analysis and Its Influence in Cracked Railway Axles Detection

2023

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The detection of cracked railway axles by processing vibratory signals measured during operation is the focus of this study. The rotodynamic theory is applied to this specific purpose but, in practice and for real systems, there is no consensus on applying the results obtained from theory. Finding reliable patterns that change during operation would have advantages over other currently applied methods, such as non-destructive testing (NDT) techniques, because data between inspections would be obtained during operation. Vibratory signal processing techniques in the time-frequency domain, such as wavelet packet transform (WPT), have proved to be reliable to obtain patterns. The aim of this work is to develop a methodology to select the optimal function associated with the WPT, the mother wavelet (MW), and to find diagnostic patterns for cracked railway axle detection. In previous related works, the Daubechies 6 MW was commonly used for all speed/load conditions and defects. In this work, it was found that the Symlet 9 MW works better, so a comparative study was carried out with both functions, and it was observed that the success rates obtained with Daubechies 6 are improved when using Symlet 9. Specifically, defects above 16.6% of the shaft diameter were reliably detected, with no false alarms. To validate the proposed methodology, experimental vibratory signals of a healthy scaled railway axle were obtained and then the same axle was tested with a transverse crack located close to a section change (where this type of defect typically appears) for nine different crack depths.

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Analysis in the time-frequency domain of different depths of a crack located in a change of section of a shaft

Abstract: En primer lugar, me gustaría agradecer la confianza depositada en mí a las directoras de esta Tesis Doctoral, María Jesús Gómez y Cristina Castejón, que con su experiencia y dedicación han conseguido enriquecer mis conocimientos.

Cited by 3 publications

References 46 publications

Selection of a mother wavelet as identification pattern for the detection of cracks in shafts

Selection of a mother wavelet as identification pattern for the detection of cracks in shafts

Nonlinear phenomena of contact in multibody systems dynamics: a review

Optimal Selection of the Mother Wavelet in WPT Analysis and Its Influence in Cracked Railway Axles Detection

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