Sensor Placement and Structural Damage Identification from Minimal Sensor Information

Cobb, Richard; Liebst, Brad S.

doi:10.2514/2.103

Cited by 71 publications

(22 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The literature describes different approaches for sensor placement options, such as prioritizing the sensor location based on a detectability limit [10], using a modal analysis parameter determination for damage localization assessment on a truss structure [11], and by using global search and greedy algorithms [12]. Li et al [13] proposed a sensor optimization algorithm based on maximum energy consumption on sensor candidate location of a civil engineering structure.…”

Section: Introductionmentioning

confidence: 99%

Transducer Placement Option of Lamb Wave SHM System for Hotspot Damage Monitoring

2018

View full text Add to dashboard Cite

Abstract:In this paper, we investigated transducer placement strategies for detecting cracks in primary aircraft structures using ultrasonic Structural Health Monitoring (SHM). The approach developed is for an expected damage location based on fracture mechanics, for example fatigue crack growth in a high stress location. To assess the performance of the developed approach, finite-element (FE) modelling of a damage-tolerant aluminum fuselage has been performed by introducing an artificial crack at a rivet hole into the structural FE model and assessing its influence on the Lamb wave propagation, compared to a baseline measurement simulation. The efficient practical sensor position was determined from the largest change in area that is covered by reflected and missing wave scatter using an additive color model. Blob detection algorithms were employed to determine the boundaries of this area and to calculate the blob centroid. To demonstrate that the technique can be generalized, the results from different crack lengths and from tilted crack are also presented.

show abstract

Section: Introductionmentioning

confidence: 99%

Transducer Placement Option of Lamb Wave SHM System for Hotspot Damage Monitoring

2018

View full text Add to dashboard Cite

show abstract

“…Cobb and Liebst [4] discussed one of the first such approaches. Their sensor placement technique makes no assumption about damage location, but focuses instead on a sensitivity analysis to find the degrees of freedom which maximize the changes due to damage in the observable partial eigenstructure.…”

Section: Nomenclaturementioning

confidence: 99%

Sensor Placement for Damage Detection in Nonlinear Systems Using System Augmentations

D’Souza

Epureanu

2008

AIAA Journal

View full text Add to dashboard Cite

Currently, most sensor placement methodologies are focused on maximizing the controllability and observability of the monitored structure. Recently, there have been several sensor placement techniques proposed for damage detection. The work herein provides an integrated sensor placement and reduced-order health assessment approach that can be applied to both linear and nonlinear structures. The method uses the idea that damageable regions (hot spots) of the system are often known in advance and, therefore, the modes that are sensitive to changes in these hot spots should be the ones exploited for damage detection. Generally, sensors are placed near the hot spots. However, if that is not possible or additional sensors are being used, then a generalized effective independence distribution vector method is applied for the remaining sensors. The partial eigenvector information obtained from measurements is expanded to the full (model) space using the knowledge that damage is limited to the hot spots of the system. Modalbased damage detection methods, such as minimum rank perturbation theory, can then be used to solve for the damage. Alternatively, damage identification by hot spot projection is a novel option for damage detection presented herein. Nonlinear systems are handled by forming (higher dimensional) augmented linear systems that follow the same trajectory of the nonlinear system when projected onto the physical (lower dimensional) space. The sensor placement methodology for nonlinear systems is similar, but it requires that sensors be placed at the location of all nonlinearities as well as the hot spots. Damage can be detected using the multiple augmentations generalized minimum rank perturbation theory, previously developed by the authors, or by damage identification by hot spot projection. Numerical simulations of the methodology are presented for linear and nonlinear five-bay frame structures.

show abstract

“…studied the mode selection strategy in locating damage and concluded that a mode selection based on maximum modal strain energy produced more accurate results than that based on minimum frequency. Cobb and Liebst (1997) proposed the optimal sensor placement for structural damage detection by maximizing system observability. A damage detection method of sensor location optimization, in which the collected information is used, has been presented by Shi et al (2000).…”

Section: Introductionmentioning

confidence: 99%

Sensor Placement for Structural Damage Detection considering Measurement Uncertainties

Zhou

Xia

Hao

2013

Advances in Structural Engineering

View full text Add to dashboard Cite

Structural damage detection methods using vibration measurements have been developed for decades. Measurement selections may affect damage detection results, because inevitable uncertainties are involved in vibration testing. A new sensor placement index is defined as the ratio of two parameters, namely, the contribution of measurement points to a Fisher information matrix, and the damage sensitivity to the measurement noise. A large value of the contribution vector represents that the corresponding measurement points are sensitive to the damage and measurements at these points are more prominent for structural damage identification, whereas a small noise sensitivity value indicates measurement points that are less influenced by noises. Consequently, the points with large index values are chosen as the measurement subset. The effectiveness of the proposed technique is verified using a laboratory-tested steel frame. The damage detection using different measurement selection schemes shows that the present technique can identify multiple damages of the structure more accurately. The effect of the measurement number is also investigated.

show abstract

Sensor Placement and Structural Damage Identification from Minimal Sensor Information

Cited by 71 publications

References 10 publications

Transducer Placement Option of Lamb Wave SHM System for Hotspot Damage Monitoring

Transducer Placement Option of Lamb Wave SHM System for Hotspot Damage Monitoring

Sensor Placement for Damage Detection in Nonlinear Systems Using System Augmentations

Sensor Placement for Structural Damage Detection considering Measurement Uncertainties

Contact Info

Product

Resources

About