Piezoelectric Transducer-Based Diagnostic System for Composite Structure Health Monitoring

Dragašius, Egidijus; Eidukynas, Darius; Jurenas, Vytautas; Mažeika, Darius; Galdikas, Mantas; Mystkowski, Arkadiusz; Mystkowska, Joanna

doi:10.3390/s21010253

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…Hence, the history of pallets was known and recorded in a WMSindependent database system by tagging them with an information vector (Figure 13). Possible solutions were also analyzed among the effects of works [50][51][52].…”

Section: Prototype Testingmentioning

confidence: 99%

“…Hence, the history of pallets was known and recorded in a WMS-independent database system by tagging them with an information vector (Figure 13). Possible solutions were also analyzed among the effects of works [50][51][52]. The information vector data was expressed in GS-1 128 code symbology, in the "B" coding set, using the (IZ) [53] standard application identifier.…”

Section: Prototype Testingmentioning

confidence: 99%

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Energy Consumption When Transporting Pallet Loads Using a Forklift with an Anti Slip Pad Preventing Damage

2021

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A large number of processes for transporting and handling palletized goods using a forklift in logistics centers is usually associated with an increase in pallet and load damage. Therefore, first of all, the “damage mechanism” was identified. A classic “state of the art” analysis was conducted. The paper presents the essence of the authors’ hybrid idea of:—locking the load;—while increasing the coefficient of friction between the pallet and the forks of the forklift; but so as not to compromise on the existing functionality of the forklift forks. The idea turned out to be an innovation that required intellectual property protection, hence it was not only described in a paper but also patented. It is about an extra element that is not standard on forklifts—a forklift fork attachment. The paper discusses mechanical damage to loads involving a forklift, load damage test results, anti-slip forklift attachment, computational model of the attachment, prototype, and real-world testing of the attachment on a forklift in a logistics center. Design data from the FEM calculation system, photos of:—the prototype with components,—the prototype on tests in the logistics center were made available. The paper concludes with a pallet and load damage study performed at a logistics center and an insulation panel factory. The level of accuracy of the publication is detailed enough that the reader can make the attachment on their own and, using the content of the paper, adapt it to the needs of their own logistics system.

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Section: Prototype Testingmentioning

confidence: 99%

Section: Prototype Testingmentioning

confidence: 99%

Energy Consumption When Transporting Pallet Loads Using a Forklift with an Anti Slip Pad Preventing Damage

2021

Self Cite

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“…Piezoelectric materials are widely used in vibration control [1,2], shape control [3], motion control [4], energy harvesting [5,6], structural health monitoring [7,8] and other fields * Author to whom any correspondence should be addressed. because of their advantages of light weight, high precision, strong load capacity, fast response rate, and high mechanical output efficiency.…”

Section: Introductionmentioning

confidence: 99%

Dynamic modeling and disturbance rejection compensation for hysteresis nonlinearity of high voltage piezoelectric stack actuators

Li¹,

Liu²,

Yang³

et al. 2022

Smart Mater. Struct.

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High voltage piezoelectric stack actuators (HVPSA) are widely used in the field of active vibration control (AVC) of engineering structures due to their strong load capacity, fast response rate, and high mechanical output efficiency. However, their inherent hysteresis will have a direct impact on the stability and control efficiency of the piezoelectric active control system. To compensate the hysteresis nonlinearity of HVPSA, a high-precision dynamic hybrid method based on linear active disturbance rejection control (LADRC) is proposed. Starting from the hysteresis analysis of piezoelectric actuators, an exponential function butterfly-shape hysteresis operator is constructed and combined with the asymmetric Bouc-Wen model to present a novel hybrid static hysteresis model. In order to implement rate-dependent hysteresis modeling, the Hammerstein rate-dependent hysteresis model of HVPSA is further established, and its inverse model is built for feedforward compensation. Subsequently, the LADRC is used to adjust the driving voltage in real time to form the hysteresis closed-loop compensator of HVPSA. The experimental results show that the Hammerstein rate-dependent hysteresis model established has satisfactory modeling accuracy in the working voltage range and frequency band under consideration. Furthermore, compared with the traditional inverse model feedforward compensation strategy, the proposed hybrid compensation method based on LADRC improves the compensation efficiency by more than 11% and reduces the hysteresis nonlinearity of HVPSA to less than 3%, with strong anti-disturbance ability.

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“…SHM systems perform structural inspection in real time using embedded sensors [10]. A usual sensor and actuator option is piezoelectric (PZT) transducers [11][12][13][14][15]. The advantages of PZT transducers are small size, light weight, and low power consumption [16].…”

Section: Introductionmentioning

confidence: 99%

A Damage Detection Method Using Neural Network Optimized by Multiple Particle Collision Algorithm

et al. 2021

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A critical task of structural health monitoring is damage detection and localization. Lamb wave propagation methods have been successfully applied for damage identification in plate-like structures. However, Lamb wave processing is still a challenging task due to its multimodal and dispersive characteristics. To address this issue, data-driven machine learning approaches as artificial neural network (ANN) have been proposed. However, the effectiveness of ANN can be improved based on its architecture and the learning strategy employed to train it. The present paper proposes a Multiple Particle Collision Algorithm (MPCA) to design an optimum ANN architecture to detect and locate damages in plate-like structures. For the first time in the literature, the MPCA is applied to find damages in plate-like structures. The present work uses one piezoelectric transducer to generate Lamb wave signals on an aluminum plate structure and a linear array of four transducers to capture the scattered signals. The continuous wavelet transform (CWT) processes the captured signals to estimate the time-of-flight (ToF) that is the ANN inputs. The ANN output is the damage spatial coordinates. In addition to MPCA optimization, this paper uses a quantitative entropy-based criterion to find the best mother wavelet and the scale values. The presented experimental results show that MPCA is capable of finding a simple ANN architecture with good generalization performance in the proposed damage localization application. The proposed method is compared with the 1-dimensional convolutional neural network (1D-CNN). A discussion about the advantages and limitations of the proposed method is presented.

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Piezoelectric Transducer-Based Diagnostic System for Composite Structure Health Monitoring

Cited by 6 publications

References 35 publications

Energy Consumption When Transporting Pallet Loads Using a Forklift with an Anti Slip Pad Preventing Damage

Energy Consumption When Transporting Pallet Loads Using a Forklift with an Anti Slip Pad Preventing Damage

Dynamic modeling and disturbance rejection compensation for hysteresis nonlinearity of high voltage piezoelectric stack actuators

A Damage Detection Method Using Neural Network Optimized by Multiple Particle Collision Algorithm

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