Sensitivity Analyses of Sensor Locations for Vibration Control and Damage Detection of Thin-Plate Systems

Li, Y.Y.; Yam, L.H.

doi:10.1006/jsvi.2000.3265

Cited by 21 publications

(8 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Suppose now that sensor reading i is decoded using a linear receiver denoted by c i . 4 Writing Y = (y 1 , y 2 , . .…”

Section: System Modelmentioning

confidence: 99%

“…Now, consider the same matrices when the sensor reading i is deleted from the system: 6 respectively. Based on 4 We assume that each sensor has wireless communication capabilities. 5 The difference between (7) and (2) consists not only in terms of summation.…”

Section: Problem Formulationmentioning

confidence: 99%

“…A survey of the literature shows that the sensitivity analysis for sensor location for systems identification has been investigated intensively [4,11,23,24]. In [24] the optimal sensor location for parameter identification of linear structural systems discusses the influence of noise on these.…”

Section: Senstivity Analysismentioning

confidence: 99%

“…The problem of sensor location is crucial for system identification, control, and damage detection which requires accurate measurement of the responses of the system [1][2][3][4][5][6][7][8]. The measured data are always inaccurate because of the existence of parameter variation or noise.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimization of Sensor Locations and Sensitivity Analysis for Engine Health Monitoring Using Minimum Interference Algorithms

Cotae

Yalamanchili

Chen

2007

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

The global optimization of sensor locations and a sensitivity analysis based on the minimization of interferences due to wireless communications between sensors are studied in the presence of additive white Gaussian noise (AWGN). We used a Gram matrix approach for robust determination of sensor locations by minimizing the interferences (maximizing the signal strength) among sensors for engine health monitoring systems. In order to solve the problem of optimum placement, an iterative algorithm for maximizing the determinant of the Gram matrix is proposed and implemented. The sensitivity criterion proposed in this paper is the spectral number of the Frobenius norm of the Gram matrix associated with sensor readings. We derived the necessary conditions under which the number of sensors and the optimal sensor locations will remain unchanged when the data measured for sensitivity analysis is affected by AWGN. Our theoretical results are verified by simulations providing details concerning numerical implementations.

show abstract

“…Suppose now that sensor reading i is decoded using a linear receiver denoted by c i . 4 Writing Y = (y 1 , y 2 , . .…”

Section: System Modelmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Senstivity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Sensor Locations and Sensitivity Analysis for Engine Health Monitoring Using Minimum Interference Algorithms

Cotae

Yalamanchili

Chen

2007

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

show abstract

“…The criterion can be the condition number of the observability matrix of the linearized tangent model of the discretized model of the process [5], the spectral condition number of the Hankel matrix [6], or the condition number of the frequency response function [7]. In this article, the condition number of the modal matrix of structure is employed to optimize sensor locations.…”

Section: Introductionmentioning

confidence: 99%

An optimal Approach on Sensor Placement for Structural Vibration Survey

Yuan¹,

Peng²,

Zhang³

2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

View full text Add to dashboard Cite

Abstract-Vibration test on hull structures with large size needs numerous amounts of sensors, which means too much work. However, notable error would come from reducing the number of sensors. An approach is proposed to reconstruct the complete structural vibration, which chooses the locations and the number of sensors optimally based on the condition number of structural modal matrix. This iterative progress eliminates the sensor location that contributes the most significantly to the condition number of modal matrix in each cycle. The influence of the location number eliminated in each cycle is analyzed and emulated. An experiment validates the precise of this approach; the error is only 3.0 dB. The distributions over the surface of structure are also consistent between reconstructive and measuring data.

show abstract

Distributed load identification for hyperelastic plates using gradient-based and machine learning methods

Khosrowpour,

Hematiyan

2024

Acta Mech

View full text Add to dashboard Cite

Sensitivity Analyses of Sensor Locations for Vibration Control and Damage Detection of Thin-Plate Systems

Cited by 21 publications

References 24 publications

Optimization of Sensor Locations and Sensitivity Analysis for Engine Health Monitoring Using Minimum Interference Algorithms

Optimization of Sensor Locations and Sensitivity Analysis for Engine Health Monitoring Using Minimum Interference Algorithms

An optimal Approach on Sensor Placement for Structural Vibration Survey

Distributed load identification for hyperelastic plates using gradient-based and machine learning methods

Contact Info

Product

Resources

About