Load monitoring and compensation strategies for guided-waves based structural health monitoring using piezoelectric transducers

Roy, Surajit; Ladpli, Purim; Chang, Fu‐Kuo

doi:10.1016/j.jsv.2015.04.019

Cited by 61 publications

(30 citation statements)

References 16 publications

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“…Song et al developed an embedded piezoceramic smart aggregate for health monitoring of concrete structures, and realized the concrete pile damages, the grouting quality of concrete-lled steel tubes, the debonding damage of FRP bar reinforced concrete, corrosion-induced degradation detected [16][17][18][19][20][21][22]. Roy et al developed a load and temperature compensation model for ultrasonic guided waves based SHM using piezoelectric transducers accounting for the changes in both the phase-shi s and signal amplitude [23].…”

Section: Introductionmentioning

confidence: 99%

An Aircraft Pallet Damage Monitoring Method Based on Damage Subarea Identification and Probability-Based Diagnostic Imaging

Liu

Yue

et al. 2019

Journal of Advanced Transportation

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To improve the safety and economy of aircraft pallet use, an aircraft pallet damage monitoring method based on damage subarea identification and probability-based diagnostic imaging is proposed. In the proposed method, first, the large aircraft pallet monitoring area is divided into rectangular subareas, and a piezoelectric transducer sensor is pasted on each vertex of the rectangular subarea that is used to excitation and sensing the Lamb wave. Second, the damage subarea is identified according to the diagonal damage indexes. Third, the damage position in the damage subarea is calculated using the probability-based diagnostic imaging method and coordinate probability weighted algorithm. Finally, the aircraft pallet damage can be localized based on the damage subarea position. Frequency selection and damage simulation study results show that the Lamb wave is sensitive to aircraft pallet damage whose centre frequency ranges from 50 kHz to 150 kHz, and the damage index of a steel ball is less than that of all real aircraft pallet damage from 95 kHz to 125 kHz. The verification results show that the proposed method can locate aircraft pallet damage with an error of less than 2 cm.

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Section: Introductionmentioning

confidence: 99%

An Aircraft Pallet Damage Monitoring Method Based on Damage Subarea Identification and Probability-Based Diagnostic Imaging

Liu

Yue

et al. 2019

Journal of Advanced Transportation

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“…Especially for the use of ultrasonic guided waves, which are vulnerable to time varying environmental conditions (e.g. temperature changes) [1,2]. A sensor array of piezoelectric transducers is generally used to apply and measure guided waves in the structural component.…”

Section: Introductionmentioning

confidence: 99%

A machine‐learning approach to load‐monitoring based on guided waves

Hesser

Markert

2017

Proc Appl Math and Mech

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The research field of structural health monitoring (SHM) describes the way to assess the structural integrity. The research objectives are broadly diversified, which are all addressing the improvement of SHM technologies. It is important to optimise the capability of sensor networks by applying intelligent signal processing models. These intelligent systems predict the health state based on acquired data in a real-time environment. Piezoelectric sensor networks and guided-wave based analyses are combined with machine learning to create an efficient load-monitoring routine. This load-monitoring approach is chosen to track any changes in the environmental conditions, which causes most of the problems in reference signal based damage detection. Therefore, the proposed load-monitoring method can be used to compensate the influence of external changes on the acquired signals and improve the performance and robustness of future SHM systems.

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“…Continuous load monitoring on a structure will not only enable the condition based monitoring but also will increase the overall safety and reliability of structure [9]. There are some studies in the literature about the effect of load on ultrasonic guide-waves [10,11].…”

Section: Introductionmentioning

confidence: 99%

A novel approach for classification of loads on plate structures using artificial neural networks

et al. 2016

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Load monitoring and compensation strategies for guided-waves based structural health monitoring using piezoelectric transducers

Cited by 61 publications

References 16 publications

An Aircraft Pallet Damage Monitoring Method Based on Damage Subarea Identification and Probability-Based Diagnostic Imaging

An Aircraft Pallet Damage Monitoring Method Based on Damage Subarea Identification and Probability-Based Diagnostic Imaging

A machine‐learning approach to load‐monitoring based on guided waves

A novel approach for classification of loads on plate structures using artificial neural networks

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