Early Damage Detection in Composite Wingbox Structures using Hilbert-Huang Transform and Genetic Algorithm

Chen, H.G.; Yan, Yi; Chen, W.H.; Jiang, Jie; Liu, Yu; Wu, Zhang

doi:10.1177/1475921707081970

Cited by 39 publications

(24 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is reasonable to employ the correlation coefficient as an index to exactly distinguish the spurious components from true IMFs and then classify them as a part of residual [16,29]. In view of this, if the correlation coefficient of each IMF,…”

Section: Extraction Criterion Of True Intrinsic Mode Functions (Imfs)mentioning

confidence: 99%

The Bivariate Empirical Mode Decomposition and Its Contribution to Grinding Chatter Detection

Chen¹,

Shen²,

Chen³

et al. 2017

Applied Sciences

View full text Add to dashboard Cite

Abstract:Grinding chatter reduces the long-term reliability of grinding machines. Detecting the negative effects of chatter requires improved chatter detection techniques. The vibration signals collected from grinders are mainly nonstationary, nonlinear and multidimensional. Hence, bivariate empirical mode decomposition (BEMD) has been investigated as a multiple signal processing method. In this paper, a feature vector extraction method based on BEMD and Hilbert transform was applied to the problem of grinding chatter. The effectiveness of this method was tested and validated with a simulated chatter signal produced by a vibration signal generator. The extraction criterion of true intrinsic mode functions (IMFs) was also investigated, as well as a method for selecting the most ideal number of projection directions using the BEMD algorithm. Moreover, real-time variance and instantaneous energy were employed as chatter feature vectors for improving the prediction of chatter. Furthermore, the combination of BEMD and Hilbert transform was validated by experimental data collected from a computer numerical control (CNC) guideway grinder. The results reveal the good behavior of BEMD in terms of processing nonstationary and nonlinear signals, and indicating the synchronous characteristics of multiple signals. Extracted chatter feature vectors were demonstrated to be reliable predictors of early grinding chatter.

show abstract

Section: Extraction Criterion Of True Intrinsic Mode Functions (Imfs)mentioning

confidence: 99%

The Bivariate Empirical Mode Decomposition and Its Contribution to Grinding Chatter Detection

Chen¹,

Shen²,

Chen³

et al. 2017

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The signal in both cases is decomposed in its respective intrinsic mode functions (IMF), and then the instantaneous properties of the monocomponent signal are obtained. Successful applications of instantaneous characteristics evaluation for damage detection purposes can be found in the literature . However, there are some significant limitations of the specific algorithm.…”

Section: Algorithms For Instantaneous Characteristic Calculationsmentioning

confidence: 99%

Evaluation of instantaneous characteristics of guided ultrasonic waves for structural quality and health monitoring

Pavlopoulou

Staszewski

Soutis

2012

Struct. Control Health Monit.

View full text Add to dashboard Cite

The analysis and extraction of the appropriate signal's features in structural health monitoring applications is one of the major challenges on which the robustness of the designed systems relies. Many strategies have been developed in the past, which utilise the identification of amplitude-based parameters for the evaluation of structural integrity. However, these parameters usually require a baseline reference, which might be extensively affected by noise, environmental or mounting conditions. This paper illustrates the applicability of Hilbert transform and Hilbert-Huang transform on the postprocessing of guided ultrasonic waves for evaluating the condition of relatively complex structural health monitoring applications. Two case studies are presented to demonstrate the suitability of the techniques, namely, the damage monitoring of an aluminium repaired panel and the cure level monitoring of symmetric carbon fibre-epoxy composite laminates. In the first case study, the technique exhibits sensitivity in propagation paths within damaged areas and shows good agreement with the developed damage, enabling the identification of critical areas. In the second study, the technique demonstrates a significant advantage over the traditionally adopted approaches and predicts accurately the cure level of the polymeric composite system. Inspection with guided ultrasonic waves is a wave-propagation-based method, which has lately attracted the attention of the scientific community, offering various industrial applications in monitoring pipes, pipelines and rails [7]. Guided waves propagate in a bounded media, which interacts with the boundaries of the structure and propagate through its thickness in two possible modes; symmetric (S n ) and antisymmetric (A n ). The mathematical equations that describe their behaviour are the same with bulky waves. The only difference is that, in the case of guided waves, the equations should satisfy the boundary conditions. The most widely used technique for health monitoring is inspection with Lamb waves. Lamb waves are elastic perturbations that occur in solid plates with free boundaries. Those perturbations are a combination of displacements that occur both in the direction of wave propagation and perpendicularly to the plane of the plate [8]. Lamb waves have been extensively used for health monitoring of advanced, complex structures. The scope of the current investigation concentrates on aspects of Lamb wave's application for health monitoring of two case studies, the first on damage monitoring of bonded patch repairs and the second on monitoring the cure process of a composite laminate.Adhesively bonded repair patches have lately received a considerable amount of interest for their potential repair applications for temporary (emergency or field) solutions to structural damage. In the aerospace industry, the interest in bonded patches emerges from the need to increase the operational life of ageing aircrafts. Such aircrafts are estimated to be approximately 30% of the worldwide fleet [9]....

show abstract

“…Several researchers have explored this issue of detection of sudden changes in stiffness. Some of the most common methods for detecting damage, and the discontinuities either in the time or spatial domains, have been the continuous and discrete wavelet transform‐based methods 3–25 although there are also several researchers that have used the Hilbert–Huang Transform approach 26–29. Very good reviews of the application of the wavelet‐based methods in SHM is provided by 3–5, and 25.…”

Section: Introductionmentioning

confidence: 99%

Detecting sudden changes in stiffness using high-pass filters

Bisht¹,

Singh²

2011

Struct. Control Health Monit.

View full text Add to dashboard Cite

SUMMARY It is often of interest to detect the time of occurrence of sudden change in structural parameters, particularly the changes in structural stiffness for health monitoring purposes as a change in stiffness also implies some damage in one or more structural elements. Although well known, it is formally shown here that a sudden change in stiffness induces a sudden change in the acceleration response. Several methods have been used in the literature to detect such sudden changes. The wavelet transform, in particular the discrete wavelets transform, is one of the popular approaches. In this approach, the sudden changes have been shown to manifest themselves as spikes in the plots of the details of the discrete wavelet transform of the acceleration response. In this paper, we provide an analytical rationale to explain what constitutes these spikes and their relationship to the discontinuity being detected. In particular, it is shown that a spike corresponds to the scaled step‐response of a high‐pass filter and that a step discontinuity can be detected using a high‐pass filter with properly chosen cut‐off frequency where the discontinuity manifests as a clear spike in the filtered output. How the measurement error and sampling frequency affect the detection is discussed. An example of a multi‐degree‐of‐freedom system subjected to the base excitation, with sudden changes in its structural elements, is presented to illustrate the approach. Copyright © 2011 John Wiley & Sons, Ltd.

show abstract

Early Damage Detection in Composite Wingbox Structures using Hilbert-Huang Transform and Genetic Algorithm

Cited by 39 publications

References 15 publications

The Bivariate Empirical Mode Decomposition and Its Contribution to Grinding Chatter Detection

The Bivariate Empirical Mode Decomposition and Its Contribution to Grinding Chatter Detection

Evaluation of instantaneous characteristics of guided ultrasonic waves for structural quality and health monitoring

Detecting sudden changes in stiffness using high-pass filters

Contact Info

Product

Resources

About