Feasibility of Applying Mel-Frequency Cepstral Coefficients in a Drive-by Damage Detection Methodology for High-Speed Railway Bridges

Souza, Edson Florentino de; Bittencourt, Túlio Nogueira; Ribeiro, Diogo; Carvalho, Hermes

doi:10.3390/su142013290

Cited by 9 publications

(10 citation statements)

References 75 publications

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“…In other words, straight track widening is the transverse distance from the lowest point on the wheel's tread circle to the center point of the rail head in their ideal position [16]. Since when the bogies come off, all the wheels lose their contact with the rails, the model included elements that take into account the sliding (rolling) of the wheels on the supporting surface (see Figure 6).…”

Section: Methodsmentioning

confidence: 99%

“…At the same time, the behavior of the wagon is noticeably different with the right and left irregularities [12]. An analysis of the longitudinal forces in the tail couplers and the total longitudinal forces of the tail couplers in the buffers of the locomotive and wagons (see Figures 41-46) showed that the forces of additional resistance to the movement of the train, arising after the derailment of the wheels, contribute to the gradual emergence of tensile forces in the automatic couplers of the front cars [16]. With options no.…”

Section: Serial Number In the Trainmentioning

confidence: 98%

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Modeling the interaction of the rolling stock and the track in the emergency braking mode of a passenger train

Zhauyt,

Solonenko,

Musayev

et al. 2024

Preprint

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The Author analyze the transitional mode of movement of a passenger train caused by sudden braking by the driver. To study the possibility of derailment of passenger cars, a simulation model of the movement of a train consisting of a locomotive and twenty passenger cars was developed in the Universal Mechanism software environment, designed to study the dynamics and kinematics of mechanical systems, which include railway rolling stock. The developed model allows taking into account the longitudinal, transverse and vertical vibrations of all cars and locomotive. All bodies in the model are assumed to be absolutely rigid. The assumption of non-deformability of the bodies is based on the fact that the stiffness of the spring suspension and elastic connections is significantly less than the structural rigidity of the bogie frames and the bolster structure, and the frequency of elastic vibrations of these bodies is much higher than the frequency of their vibrations on the spring suspension. Passengers and cargo in a wagon are considered to be non-deformable and integral with the wagon body, similarly in the case of a locomotive body. Between the elements of the system, connections are involved that regulate certain relative movements of these elements.

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Section: Methodsmentioning

confidence: 99%

Section: Serial Number In the Trainmentioning

confidence: 98%

Modeling the interaction of the rolling stock and the track in the emergency braking mode of a passenger train

Zhauyt,

Solonenko,

Musayev

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…In other words, straight track widening is the transverse distance from the lowest point on the wheelʹs tread circle to the center point of the rail head in their ideal position [16]. Since when the bogies come off, all the wheels lose their contact with the rails, the model included elements that take into account the sliding (rolling) of the wheels on the supporting surface (see Figure 6).…”

Section: Methodsmentioning

confidence: 99%

“…At the same time, the behavior of the car is noticeably different with the right and left irregularities [12]. An analysis of the longitudinal forces in the tail couplers and the total longitudinal forces of the tail couplers in the buffers of the locomotive and cars showed that the forces of additional resistance to the movement of the train, arising after the derailment of the wheels, contribute to the gradual emergence of tensile forces in the automatic couplers of the front cars [16]. With options No.…”

mentioning

confidence: 99%

Modeling the Interaction of the Rolling Stock and the Track in the Emergency Braking Mode of a Passenger Train

Solonenko,

Musayev,

Zhunisbekov

et al. 2023

Preprint

View full text Add to dashboard Cite

The article analyzes the transitional mode of movement of a passenger train caused by emergency braking by the driver. To study the possibility of derailment of passenger cars, a simulation model of the movement of a train consisting of a locomotive and twenty passenger cars was developed in the Universal Mechanism software environment, designed to study the dynamics and kinematics of mechanical systems, which include railway rolling stock. The developed model allows taking into account the longitudinal, transverse and vertical vibrations of all cars and locomotive. All bodies in the model are assumed to be absolutely rigid. The assumption of non-deformability of the bodies is based on the fact that the stiffness of the spring suspension and elastic connections is significantly less than the structural rigidity of the bogie frames and the bolster structure, and the frequency of elastic vibrations of these bodies is much higher than the frequency of their vibrations on the spring suspension. Passengers and cargo in a wagon are considered to be non-deformable and integral with the wagon body, similarly in the case of a locomotive body. Between the elements of the system, connections are involved that regulate certain relative movements of these elements.

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“…They have been particularly successful in mechanical systems as features for detecting damage in bearing and gearboxes [24][25][26]. Several studies address them as features for monitoring the health conditions of civil and infrastructural systems [16,[27][28][29][30], demonstrating how these features might represent valid alternatives to the most common approaches. In 2021, Morgantini et al [31] investigated their connection to the modal characteristics of the structure and how they can be successfully used in a damage assessment strategy.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Damage Detection and Classification of Unknown Classes with a Hybrid Supervised–Unsupervised Approach

Stagi,

Sclafani,

Tronci

et al. 2024

Infrastructures

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Most damage-assessment strategies for dynamic systems only distinguish between undamaged and damaged conditions without recognizing the level or type of damage or considering unseen conditions. This paper proposes a novel framework for structural health monitoring (SHM) that combines supervised and unsupervised learning techniques to assess damage using a system’s structural response (e.g., the acceleration response of big infrastructures). The objective is to enhance the benefits of a supervised learning framework while addressing the challenges of working in an SHM context. The proposed framework uses a Linear Discriminant Analysis (LDA)/Probabilistic Linear Discriminant Analysis (PLDA) strategy that enables learning the distributions of known classes and the performance of probabilistic estimations on new incoming data. The methodology is developed and proposed in two versions. The first version is used in the context of controlled, conditioned monitoring or for post-damage assessment, while the second analyzes the single observational data. Both strategies are built in an automatic framework able to classify known conditions and recognize unseen damage classes, which are then used to update the classification algorithm. The proposed framework’s effectiveness is first tested considering the acceleration response of a numerically simulated 12-degree-of-freedom system. Then, the methodology’s practicality is validated further by adopting the experimental monitoring data of the benchmark study case of the Z24 bridge.

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Feasibility of Applying Mel-Frequency Cepstral Coefficients in a Drive-by Damage Detection Methodology for High-Speed Railway Bridges

Cited by 9 publications

References 75 publications

Modeling the interaction of the rolling stock and the track in the emergency braking mode of a passenger train

Modeling the interaction of the rolling stock and the track in the emergency braking mode of a passenger train

Modeling the Interaction of the Rolling Stock and the Track in the Emergency Braking Mode of a Passenger Train

Enhancing the Damage Detection and Classification of Unknown Classes with a Hybrid Supervised–Unsupervised Approach

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