An adaptive filter–based temperature compensation technique for structural health monitoring

Wang, Yishou; Gao, Limin; Yuan, Shenfang; Qiu, Lei; Qing, Xinlin

doi:10.1177/1045389x13519001

Cited by 45 publications

(33 citation statements)

References 28 publications

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“…Furthermore the approach needs training with prior data which are not always available. Wang et al (2014) presented a temperature compensation method based on Adaptive Linear Neuron (ADLINE) for Lamb wave-based damage detection in composite plates. The main limitations of this method include the simplistic representation of the signal (single layer and 2 neural network weights) as well as the choice of the activation function.…”

Section: Introductionmentioning

confidence: 99%

A data-driven temperature compensation approach for Structural Health Monitoring using Lamb waves

Fendzi

Rébillat

Mechbal

et al. 2016

Structural Health Monitoring

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This paper presents a temperature compensation method for Lamb wave structural health monitoring. The proposed approach considers a representation of the piezo-sensor signal through its Hilbert transform that allows one to extract the amplitude factor and the phaseshift in signals caused by temperature changes. An ordinary least square (OLS) algorithm is used to estimate these unknown parameters. After estimating these parameters at each temperature in the operating range, linear functional relationships between the temperature and the estimated parameters are derived using the least squares method. A temperature compensation model is developed based on this linear relationship that allows one to reconstruct sensor signals at any arbitrary temperature. The proposed approach is validated numerically and experimentally for an anisotropic composite plate at different temperatures ranging from 16• C to 85 • C. A close match is found between the measured signals and the reconstructed ones. This approach is interesting as it needs only a limited set of piezo-sensor signals at different temperatures for model training and temperature compensation at any arbitrary temperature. Damage localization results after temperature compensation demonstrate its robustness and effectiveness.

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Section: Introductionmentioning

confidence: 99%

A data-driven temperature compensation approach for Structural Health Monitoring using Lamb waves

Fendzi

Rébillat

Mechbal

et al. 2016

Structural Health Monitoring

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show abstract

“…Meanwhile the damage manifests itself and the noise will rise the OBS error [93]. Wang et al [94] combined the OBS and the adaptive filter to compensate the temperature variations. The simplistic representation of the signal and the choice of activation function are the main limitations of this technology.…”

Section: Temperature Effect Compensation Techniquesmentioning

confidence: 99%

Application and Challenges of Signal Processing Techniques for Lamb Waves Structural Integrity Evaluation: Part A-Lamb Waves Signals Emitting and Optimization Techniques

Liu¹,

Chen²

2018

Structural Health Monitoring From Sensing to Processing

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Lamb waves have been widely studied in structural integrity evaluation during the past decades with their low-attenuation and multi-defects sensitive nature. The performance of the evaluation has close relationship with the vibration property and the frequency of Lamb waves signals. Influenced by the nature of Lamb waves and the environment, the received signals may be difficult to interpret that limits the performance of the detection. So pure Lamb waves mode emitting and high-resolution signals acquisition play important roles in Lamb waves structural integrity evaluation. In this chapter, the basic theory of Lamb waves nature and some environment factors that should be considered in structural integrity evaluation are introduced. Three kinds of typical transduces used for specific Lamb waves mode emitting and sensing are briefly introduced. Then the development of techniques to improve the interpretability of signals are discussed, including the waveform modulation techniques, multi-scale analysis techniques and the temperature effect compensation techniques are summarized.

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“…One of the major concerns with the methods using pristine baseline data is the variations in environmental and operational parameters such as temperature, surface moisture, and loading conditions. These variations can make differences in the currently collected response of the structure with those measured baseline data . Moreover, it is not possible to detect any probable existing initial defects before sensor installation.…”

Section: Introductionmentioning

confidence: 99%

A semi-baseline damage identification approach for complex structures using energy ratio correction technique

Alem

Abedian

2017

Struct Control Health Monit

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Summary Because damage identification results based on the Lamb waves propagation approach can be influenced by varying environmental and operational conditions, development of a robust monitoring system with no need of the prior measured data of the structure has gained much attention recently. The instantaneous baseline damage detection technique is one of the promising methods that overcome the mentioned obstacles. For this, the material properties, electromechanical characteristics, and the geometric features must be identical. Also, sensor distances in similar paths and the geometric dimensions of the transducers must be the same. So, implementing the instantaneous baseline damage identification in complex structures is rather complicated due to the inherent non‐homogeneities involved. To ease the complexity, this article proposes a semi‐instantaneous baseline damage identification approach by modifying an existing instantaneous baseline method. This is used to detect and characterize fatigue cracks that initiate around the rivet holes of lap joint structures. In this method, an active sensing network is mounted on the lap joint, and a robust and effective feature called energy ratio change is extracted from the collected time‐domain signals using the wavelet transform. The introduced “identicality coefficient” for all the sensing paths in pristine condition of the structure is obtained and used to remove any inequalities that may occur to the signals of each path. The obtained results show that the proposed method can detect fatigue cracks around the lap joint rivet holes and estimate the crack size. An experiment as well as numerical simulations is performed to verify the method.

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An adaptive filter–based temperature compensation technique for structural health monitoring

Cited by 45 publications

References 28 publications

A data-driven temperature compensation approach for Structural Health Monitoring using Lamb waves

A data-driven temperature compensation approach for Structural Health Monitoring using Lamb waves

Application and Challenges of Signal Processing Techniques for Lamb Waves Structural Integrity Evaluation: Part A-Lamb Waves Signals Emitting and Optimization Techniques

A semi-baseline damage identification approach for complex structures using energy ratio correction technique

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