A modelling technique to investigate the effects of quasi-static loads on guided-wave based structural health monitoring systems

Perfetto, Donato; Lamanna, Giuseppe; Petrone, Giuseppe; Fenza, Angelo De; Luca, A. De

doi:10.1016/j.finmec.2022.100125

Cited by 21 publications

(14 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They can be grouped based on their primary physical mechanism to provide an overview of the different types. Seven categories of NDT technologies are discussed below: Acoustic Wave Methods [ 117 , 118 , 119 , 120 , 121 , 122 ]: In acoustic wave methods, sonic and ultrasonic stress waves are detected and monitored. The stress waves are either passively emitted (such as in Acoustic Emission) or actively imparted (e.g., for Guided Wave Testing).…”

Section: Ndt Systemsmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

Hassani

Dackermann

2023

Sensors

126

View full text Add to dashboard Cite

This paper reviews recent advances in sensor technologies for non-destructive testing (NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by the rapid developments in sensor technologies and data analytics leading to ever-advancing systems for assessing and monitoring structures. Conventional and advanced sensor technologies are systematically reviewed and evaluated in the context of providing input parameters for NDT and SHM systems and for their suitability to determine the health state of structures. The presented sensing technologies and monitoring systems are selected based on their capabilities, reliability, maturity, affordability, popularity, ease of use, resilience, and innovation. A significant focus is placed on evaluating the selected technologies and associated data analytics, highlighting limitations, advantages, and disadvantages. The paper presents sensing techniques such as fiber optics, laser vibrometry, acoustic emission, ultrasonics, thermography, drones, microelectromechanical systems (MEMS), magnetostrictive sensors, and next-generation technologies.

show abstract

Section: Ndt Systemsmentioning

confidence: 99%

“…Acoustic Wave Methods [ 117 , 118 , 119 , 120 , 121 , 122 ]: In acoustic wave methods, sonic and ultrasonic stress waves are detected and monitored. The stress waves are either passively emitted (such as in Acoustic Emission) or actively imparted (e.g., for Guided Wave Testing).…”

Section: Ndt Systemsmentioning

confidence: 99%

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

Hassani

Dackermann

2023

Sensors

126

View full text Add to dashboard Cite

show abstract

“…[8][9][10][11][12] Crack onset and propagation must be properly identified, and Structural Health Monitoring systems can be implemented on the to be monitored part. [13][14][15][16][17][18][19] However, the extraction of the main crack-related features is a tricky task. Moreover, nonlinear features can complicate the identification and analysis stages because a crack can breathe throughout a full rotation, i.e., opening and closing its edges.…”

Section: Introductionmentioning

confidence: 99%

Application of Supervised and Unsupervised Machine Learning to the Classification of Damaged Rotor‐Bearing Systems

Rezazadeh,

Felaco,

Fallahy

et al. 2023

Macromolecular Symposia

Self Cite

View full text Add to dashboard Cite

In this letter, supervised machine learning classifiers are compared with clustering algorithms in the categorization of malfunctioned rotor systems. For this purpose, a dataset containing 660 faulted rotor‐bearing systems—that are, unbalanced, misaligned, and cracked—is used. Samples are created utilizing the finite element method in MATLAB. A sequential forward selection (SFS) method is employed to reduce the number of features in the signal‐processing stage after the feature extraction phase in the time, frequency, and time–frequency domains. The outcomes of three supervised algorithms—support vector machine, k‐nearest neighbors, and ensemble learning, as well as one unsupervised procedure, e.g., k‐Means clustering, are compared. In the latter method, to find the optimal number of clusters, the Calinski–Harabasz criterion is applied. The findings represent that, even though the supervised methods' acquired accuracies are noticeably higher (97.7% in the validation stage), using clustering algorithms can be beneficial in a variety of real‐time condition monitoring applications in rotating machines where the type, extent, and location of the damage are unknown.

show abstract

“…[15] Among the different SHM systems, ultrasonic guided waves (UGW) based ones offer the possibility of a rapid and economic inspection of large surface with high damage sensitivity also under operating conditions. [16][17][18] Diagnostic UGW signals are generated and collected by a network of piezoelectric sensors mounted on the structure to be inspected. Received signals are analyzed so that information about the presence and the location of the damage can be identified.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis on the Propagation of Ultrasonic Guided Wave in Damaged Carbon Fiber Reinforced Polymer Laminate

Polverino,

Aversano,

Rezazadeh

et al. 2023

Macromolecular Symposia

View full text Add to dashboard Cite

In recent years, the propagation of ultrasonic guided waves (UGW) along the structure to inspect has amply proven to be an excellent strategy for the health monitoring of isotropic and composite structures (SHM—structural health monitoring). For the proper development of the SHM system, the finite element method (FEM) must be mentioned, since the possibility to study the UGW in very complex structures, even characterized by different materials. Successfully locating any possible damage and identifying its severity are key factors in SHM, thus allowing to reduce the design costs. Numerically, the damage can be modeled with several approaches but it is still not clear which is the best solution to accurately reproduce the UGW mechanisms in a faulty structure. The objective of this paper is to study the various effects that different severities of damage can have on UGW propagation. For the scope, various numerical approaches are considered and the results are compared.

show abstract

A modelling technique to investigate the effects of quasi-static loads on guided-wave based structural health monitoring systems

Cited by 21 publications

References 39 publications

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

Application of Supervised and Unsupervised Machine Learning to the Classification of Damaged Rotor‐Bearing Systems

Numerical Analysis on the Propagation of Ultrasonic Guided Wave in Damaged Carbon Fiber Reinforced Polymer Laminate

Contact Info

Product

Resources

About