DOI QR코드

DOI QR Code

Sensor placement driven by a model order reduction (MOR) reasoning

  • 투고 : 2013.09.15
  • 심사 : 2014.01.10
  • 발행 : 2014.03.25

초록

Given a body undergoing a stress-strain status as consequence of external excitations, sensors can be deployed on the accessible lateral surface of the body. The sensor readings are regarded as input of a numerical model of reduced order (i.e., the number of sensors is lower than the number of the state variables the full model would require). The goal is to locate the sensors in such a way to minimize the deviations from the response of the true (full) model. One adopts either accelerometers as sensors or devices reading relative displacements. Two applications are studied: a plane frame is first investigated; the focus is eventually on a 3D body.

키워드

참고문헌

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피인용 문헌

  1. Bayesian dynamic linear models for structural health monitoring vol.24, pp.12, 2017, https://doi.org/10.1002/stc.2035
  2. Optimal sensor placement methodology for uncertainty reduction in the assessment of structural condition vol.24, pp.6, 2017, https://doi.org/10.1002/stc.1927
  3. Low-cost simulation using model order reduction in structural health monitoring: Application of balanced proper orthogonal decomposition vol.24, pp.11, 2017, https://doi.org/10.1002/stc.1994
  4. Dynamic transient analysis of systems with material nonlinearity: a model order reduction approach vol.18, pp.1, 2016, https://doi.org/10.12989/sss.2016.18.1.001
  5. Building structural health monitoring using dense and sparse topology wireless sensor network vol.16, pp.4, 2015, https://doi.org/10.12989/sss.2015.16.4.607
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  9. Optimal sensor placement for damage detection of bridges subject to ship collision vol.24, pp.9, 2017, https://doi.org/10.1002/stc.1963
  10. -means clustering: Application in health monitoring of plate using Lamb wave propagation and impedance method vol.25, pp.9, 2018, https://doi.org/10.1002/stc.2211
  11. A parametric reduced-order model using substructural mode selections and interpolation vol.212, pp.None, 2014, https://doi.org/10.1016/j.compstruc.2018.10.018