Instantaneous baseline structural damage detection using a miniaturized piezoelectric guided waves system

Park, Seunghee; Anton, Steven R.; Kim, Jeong-Ki; Inman, Daniel J.; Ha, Dong Sam

doi:10.1007/s12205-010-1137-x

Cited by 33 publications

(13 citation statements)

References 11 publications

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“…The guided wave SHM system with digital signal processing module executes excitation of signal sensing and data processing. The instantaneous baseline damage detection based on Wavelet Transformation (WT) and cross correlation (CC) analysis is carried out by the DSP module of low-power piezoelectric guided waves system [28]. To achieve a high accuracy and resolution, Gao et al proposed a system which synchronizes the time to ensure data acquisition and propagation delay calculation.…”

Section: Previous Workmentioning

confidence: 99%

“…A TMS320F2812 digital signal processing (DSP) module was employed for signal generation/excitation, sensing, and data processing. The DSP applied an instantaneous baseline damage identification algorithm based on WT and CC analysis [28]. Traditional wired SHM system requires long deployment time and a significant cost for wire installation.…”

Section: Previous Workmentioning

confidence: 99%

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Internet of Things (IoT) Platform for Structure Health Monitoring

Abdelgawad

Yelamarthi

2017

Wireless Communications and Mobile Computing

113

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Increase in the demand for reliable structural health information led to the development of Structural Health Monitoring (SHM). Prediction of upcoming accidents and estimation of useful life span of a structure are facilitated through SHM. While data sensing is the core of any SHM, tracking the data anytime anywhere is a prevailing challenge. With the advancement in information technology, the concept of Internet of Things (IoT) has made it possible to integrate SHM with Internet to track data anytime anywhere. In this paper, a SHM platform embedded with IoT is proposed to detect the size and location of damage in structures. The proposed platform consists of a Wi-Fi module, a Raspberry Pi, an Analog to Digital Converter (ADC), a Digital to Analog Converter (DAC), a buffer, and piezoelectric (PZT) sensors. The piezoelectric sensors are mounted as a pair in the structure. Data collected from the piezoelectric sensors will be used to detect the size and location of damage using a proposed mathematical model. Implemented on a Raspberry Pi, the proposed mathematical model will estimate the size and location of structural damage, if any, and upload the data to Internet. This data will be stored and can be checked remotely from any mobile device. The system has been validated using a real test bed in the lab.

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Section: Previous Workmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

Internet of Things (IoT) Platform for Structure Health Monitoring

Abdelgawad

Yelamarthi

2017

Wireless Communications and Mobile Computing

113

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“…Therefore, through‐thickness damages cannot generate mode conversion but only transmit and scatter the incoming wave packets. Another baseline‐free damage detection method was based on instantaneous baseline measurements . According to this method, comparison of the receiving data is done for only equivalent sensing paths, that is, arrays of spars transducers with equal distances between sensors and actuators and also similarity in positioning of the transducers from the edge of the test plate.…”

Section: Introductionmentioning

confidence: 99%

“…Another baseline-free damage detection method was based on instantaneous baseline measurements. [18][19][20][21] According to this method, comparison of the receiving data is done for only equivalent sensing paths, that is, arrays of spars transducers with equal distances between sensors and actuators and also similarity in positioning of the transducers from the edge of the test plate. Obviously, the layout of transducers is obligatory for detecting the damage in this manner.…”

Section: Introductionmentioning

confidence: 99%

Optimal sensors layout design based on reference‐free damage localization with lamb wave propagation

Motamed

Abedian

Nasiri

2020

Struct Control Health Monit

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Summary This study presents a new approach for designing optimal sensors layout based on accuracy of defect mapping. It is obtained from combination of the reference‐free damage detection technique and the probability‐based diagnostic imaging method. Considering damage indices based on continuous wavelet transform of sensors signals, the core of this study involves with development of a database of continuous wavelet transform features of a crack. In fact, the database contains the data from 594 different states in crack positions, orientations, and the considered sensing path lengths. Eventually, this database is used for localization of damage by interpolating the stored data collected from the above mentioned 594 states of the crack. The verification tests of defect mapping interpolating the stored data show an excellent match with the finite element method crack positioning performed for three different crack conditions. To generalize the results, here, 134 sensor layouts are considered in each of which 121 crack positions are detected by the help of probability‐based diagnostic imaging method. Then to check upon the accuracy of the results, the distance between the real center of the crack and the detected crack position by the interpolation of the stored data is calculated. Finally, the optimal sensor layouts single out from among the 134 ones based on user‐defined accuracy in localizing damage on an arbitrary monitoring area and the number of sensors.

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“…This method relies on the fact that Lamb wave signals recorded along two similar sensing paths are identical unless any damage is present in the vicinity or along one of the paths. Recently, more efforts have been focused on the instantaneous baseline technique that aims to detect a damage using simultaneously recorded baseline data . Bagheri et al presented an instantaneous baseline approach for damage identification and localization that combines the advantages of continuous wavelet transform (CWT) and probabilistic methods with the need to deploy baseline‐free systems.…”

Section: Introductionmentioning

confidence: 99%

A semi-baseline damage identification approach for complex structures using energy ratio correction technique

Alem

Abedian

2017

Struct Control Health Monit

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Summary Because damage identification results based on the Lamb waves propagation approach can be influenced by varying environmental and operational conditions, development of a robust monitoring system with no need of the prior measured data of the structure has gained much attention recently. The instantaneous baseline damage detection technique is one of the promising methods that overcome the mentioned obstacles. For this, the material properties, electromechanical characteristics, and the geometric features must be identical. Also, sensor distances in similar paths and the geometric dimensions of the transducers must be the same. So, implementing the instantaneous baseline damage identification in complex structures is rather complicated due to the inherent non‐homogeneities involved. To ease the complexity, this article proposes a semi‐instantaneous baseline damage identification approach by modifying an existing instantaneous baseline method. This is used to detect and characterize fatigue cracks that initiate around the rivet holes of lap joint structures. In this method, an active sensing network is mounted on the lap joint, and a robust and effective feature called energy ratio change is extracted from the collected time‐domain signals using the wavelet transform. The introduced “identicality coefficient” for all the sensing paths in pristine condition of the structure is obtained and used to remove any inequalities that may occur to the signals of each path. The obtained results show that the proposed method can detect fatigue cracks around the lap joint rivet holes and estimate the crack size. An experiment as well as numerical simulations is performed to verify the method.

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Instantaneous baseline structural damage detection using a miniaturized piezoelectric guided waves system

Cited by 33 publications

References 11 publications

Internet of Things (IoT) Platform for Structure Health Monitoring

Internet of Things (IoT) Platform for Structure Health Monitoring

Optimal sensors layout design based on reference‐free damage localization with lamb wave propagation

A semi-baseline damage identification approach for complex structures using energy ratio correction technique

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