An efficient approach for identifying impact force using embedded piezoelectric sensors

Hu, Ning; Fukunaga, H.; Matsumoto, Satoshi; Yan, Bo; Peng, Xiaoqin

doi:10.1016/j.ijimpeng.2006.05.004

Cited by 100 publications

(66 citation statements)

References 17 publications

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“…Transfer functions can be determined analytically [5,9,11] numerically [16,18,29,30] or experimentally [10,[12][13][14]. An experiment method using impact testing of experimental modal analysis has the advantage of being applicable to various types of structures.…”

Section: Impact-force Sparse Reconstruction Using Mtwistmentioning

confidence: 99%

Impact-force sparse reconstruction from highly incomplete and inaccurate measurements

Qiao

Zhang

Gao

2016

Journal of Sound and Vibration

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Section: Impact-force Sparse Reconstruction Using Mtwistmentioning

confidence: 99%

Impact-force sparse reconstruction from highly incomplete and inaccurate measurements

Qiao

Zhang

Gao

2016

Journal of Sound and Vibration

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“…Several attempts have been made to utilize sensors made of lead zirconate titanates (PZTs), which is a common type of piezoceramic for impact force identification. Hu et al (3) proposed an identification technique employing the Chebyshev polynomial to approximate the history of impact force acting on carbon fiber reinforcement polymer laminated plates using embedded PZT sensors. Park et al (4) presented an inverse method based on a system-identification technique using transfer functions for identifying impact events on a complex structure with built-in piezoelectric sensors without the need of constructing a full-scale accurate structural model of acquiring excessive training data on the structure.…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study on Impact Force Identification Using Output Response of PVDF Sensor

2018

Sensors and Materials

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Impact force identification from structural dynamic responses at certain points on a mechanical structure subjected to impact is a classical inverse problem in dynamics. There has been a growing demand for an efficient inverse algorithm and/or sensors that can overcome the ill-conditioning problem often encountered in an inverse analysis. This study investigates the capabilities of a polyvinylidene fluoride (PVDF) sensor to identify impact force. Impact force was identified from the response of a PVDF sensor attached to a steel cantilever beam. A simple method involving neither the analytical nor the experimental Green's function was used to create the objective function that was minimized during the optimization process. Results of parametric studies on the effect of PVDF output length included in the process of optimizing the objective function suggest that identification accuracy appears to be more vulnerable to peak differences than to area differences. Output lengths of 50 and 100 ms appear to yield good identification accuracy for both peak-and area-based evaluations. Furthermore, accuracy of identification seems to be susceptible to variations in the starting time of impact history. However, such susceptibility was overcome by the PVDF sensor's excellent signal-to-noise ratio, thanks to which the starting point of an impact's history can be accurately identified.

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“…This can be constructed analytically, by means of the finite element method or by experimental identification procedures. When the impact can be assumed as being punctual and the impact location is known, the impulse response functions between the impact point and the sensors placed at known positions, allows by using a regularized deconvolution technique to reconstruct the force signal [6][7][8][9]. When the point of impact is unknown, the inverse formulation uses a minimization technique between the measured and calculated responses to identify the impact characteristics in two steps: at first point location and then force time signal reconstruction [10].…”

Section: Introductionmentioning

confidence: 99%

Influence of measurement noise on the PSO based localization of an impact occurring on elastic plates

El-Bakari¹,

Khamlichi²,

Dkiouak³

2014

MATEC Web of Conferences

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Abstract. This paper presents the application of particle swarm optimization algorithm to reconstruct the characteristics of impacts occurring on homogeneous and isotropic elastic plates and which cannot be reduced to a concentrated force. Solution of this inverse problem was achieved through minimizing a fitness function defined in terms of the root mean square error between the measured and the calculated responses. This included information provided by numerous sensors. The impacting force was assumed to result from uniformly distributed pressure acting over a rectangular patch. Use was made of the reciprocity theorem to decouple the localization problem from the deconvolution part intended to reconstruct the pressure time signal. The particle swarm optimization based model was found to be highly efficient in finding the impact zone location. Focus was done on the robustness aspect of force impact localization when an additive white noise is assumed to perturb response measurements.

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An efficient approach for identifying impact force using embedded piezoelectric sensors

Cited by 100 publications

References 17 publications

Impact-force sparse reconstruction from highly incomplete and inaccurate measurements

Impact-force sparse reconstruction from highly incomplete and inaccurate measurements

An Experimental Study on Impact Force Identification Using Output Response of PVDF Sensor

Influence of measurement noise on the PSO based localization of an impact occurring on elastic plates

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