Structural Health Monitoring in Composite Structures: A Comprehensive Review

Hassani, Sahar; Mousavi, Mohsen; Gandomi, Amir H.

doi:10.3390/s22010153

Cited by 87 publications

(53 citation statements)

References 295 publications

(206 reference statements)

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“…Generally, all sensors or monitoring systems present a set of challenges that must be overcome to ensure high structural reliability, such as the accurate detection of damage. The use of wiring to connect sensors causes many problems, including the associated cost of its application, as well as the reduction in the reliability of data transmission [ 51 , 132 , 133 , 134 ]. The use of embedded FOSs is associated with a set of challenges.…”

Section: Discussion and Challenges In Embedded Sensorsmentioning

confidence: 99%

Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review

Ferreira

Machado

Carvalho

et al. 2022

Sensors

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Sensing Technology (ST) plays a key role in Structural Health-Monitoring (SHM) systems. ST focuses on developing sensors, sensory systems, or smart materials that monitor a wide variety of materials’ properties aiming to create smart structures and smart materials, using Embedded Sensors (ESs), and enabling continuous and permanent measurements of their structural integrity. The integration of ESs is limited to the processing technology used to embed the sensor due to its high-temperature sensitivity and the possibility of damage during its insertion into the structure. In addition, the technological process selection is dependent on the base material’s composition, which comprises either metallic or composite parts. The selection of smart sensors or the technology underlying them is fundamental to the monitoring mode. This paper presents a critical review of the fundaments and applications of sensing technologies for SHM systems employing ESs, focusing on their actual developments and innovation, as well as analysing the challenges that these technologies present, in order to build a path that allows for a connected world through distributed measurement systems.

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Section: Discussion and Challenges In Embedded Sensorsmentioning

confidence: 99%

Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review

Ferreira

Machado

Carvalho

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Generally, all sensors or monitoring systems present a set of challenges that must be overcome to ensure high structural reliability, such as the accurate detection of the damage. The use of wiring to connect sensors causes many problems, including the associated cost of its application, as well as the reduction in the reliability of data transmission [52,[134][135][136].…”

Section: Discussion and Challenges In Embedded Sensorsmentioning

confidence: 99%

Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review

Ferreira¹,

Machado²,

Carvalho³

et al. 2022

Preprint

View full text Add to dashboard Cite

Sensing Technology (ST) plays a key role in Structural Health Monitoring (SHM) systems. ST focuses on developing sensors, sensory systems or smart materials that monitor a wide variety of materials properties aiming to create smart structures and smart materials, using Embedded Sensors (ESs), and allowing continuous and permanent measurements of the structural integrity. The integration of ESs is limited to the processing technology to embed the sensor due to its high-temperature sensitivity and the possibility of damage during its insertion into the structure. In addition, the technological process selection is dependent on the base material composition, either metallic or composite parts. The selection of smart sensors or the technology underlying them is fundamental to the monitoring mode. This paper presents a critical review of the fundaments and applications of sensing technologies for SHM employing ESs, focusing on the actual developments and innovation of these, as well as analysing the challenges that these technologies present, to build a path that allows a connected world through distributed measurement systems.

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“…Rotating machineries are occupying an increasing position in modern industry and intelligent manufacturing. Real-time monitoring of the working state of rotating machineries cannot only avoid the occurrence of disasters but can also bring evident economic benefits [ 106 , 107 , 108 , 109 ]. The process of high-speed machining contains abundant acoustic signals.…”

Section: Condition Monitoring Based On Noise Signalsmentioning

confidence: 99%

Research Progress of Noise in High-Speed Cutting Machining

Wei

Shang

Peng

et al. 2022

Sensors

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High-speed cutting technology has become a development trend in the material processing industry. However, high-intensity noise generated during high-speed cutting exerts a potential effect on the processing efficiency, processing accuracy, and product quality of the workpiece; it may even cause hidden safety hazards. To conduct an in-depth study of noise in high-speed cutting machining, this work reviews noise sources, noise collection and numerical recognition, noise control, and condition monitoring based on acoustic signals. First, this article introduces noise sources, noise signal acquisition equipment, and analysis software. It is pointed out that how to accurately classify and recognize the target signal in the complex high-speed machining environment is one of the focuses of scholars’ research. Then, it points out that a computer achieves high accuracy and practicability in signal analysis, processing, and result display. Second, in the aspect of noise signal processing, the characteristics of noise signals are analyzed. It is pointed out that accurately analyzing the characteristics of different noise source signals and adopting appropriate methods for identification and processing are the necessary conditions for effectively controlling and reducing the noise in the process of high-speed cutting. The advantages and applicable fields of artificial intelligence algorithms in processing mixed noise source signals with different frequency characteristics are compared, providing ideas for studying the mechanism of noise generation and the identification of noise sources. Third, in terms of noise control, a detailed overview is provided from the aspects of the treatment of the noise source that contributes the most to the overall noise, the improvement of the tool structure, the optimization of cutting parameters, and the analysis of contact factors between the tool and the workpiece. It provides an effective way for noise control in the process of high-speed cutting. In addition, the application of acoustic signals to condition monitoring is also thoroughly analyzed. The practical application value of condition monitoring based on acoustic signals in high-speed machining is highlighted. Finally, this paper summarizes the positive significance of noise research in high-speed machining and identifies key problems and possible research methods that require further study in the future.

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Structural Health Monitoring in Composite Structures: A Comprehensive Review

Cited by 87 publications

References 295 publications

Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review

Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review

Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review

Research Progress of Noise in High-Speed Cutting Machining

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