GUW-based structural damage detection using WPT statistical features and multiclass SVM

HosseinAbadi, Hossein Zamani; Amirfattahi, Rassoul; Nazari, Behzad; Mirdamadi, Hamid Reza; Atashipour, Seyed Abdolrahim

doi:10.1016/j.apacoust.2014.05.002

Cited by 47 publications

(22 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the wavelet transform, only approximation signal is decomposed into two newer approximation and detail signals at each level of decomposition. [16] Unlike the wavelet transform, the WPT can also decompose the wavelet detail signals, which is more exquisite than wavelet transform.…”

Section: Basis Of Wptmentioning

confidence: 99%

“…[16] A three-level WPT of a signal is shown in Figure 2. 2 n different approximation and detail signals are obtained at nth level WPT decomposition.…”

Section: Basis Of Wptmentioning

confidence: 99%

“…However, frequency-domain analysis generally depicts a picture of the power spectral density (PSD) and does not contain any information about which frequency component reaches what instant of time contained in the signal. [16] Hence, wavelet packet transform (WPT) gains more popularity in the area of damage detection as a well-known and powerful tool, and its applications are listed in [17 -20]. In the present study, the features extracted based on WPT can provide more information for magnetic tile internal cracks NDE.…”

Section: Introductionmentioning

confidence: 95%

See 2 more Smart Citations

Inspection of magnetic tile internal cracks based on impact acoustics

Xie

Huang

Zhao

et al. 2015

Nondestructive Testing and Evaluation

View full text Add to dashboard Cite

An automatic system is developed for internal cracks detection in magnetic tiles based on the impact acoustics, using wavelet packet transform (WPT), principal component analysis (PCA) and hidden Markov model (HMM). In this system, the detecting device is considered as core part to collect and analyse the impact sounds. The original impact sounds are first decomposed up to six levels based on WPT to extract the features. PCA is then performed for dimension reduction and clustering analysis. By adopting the features extracted based on WPT and optimised by PCA as inputs, an HHM classifier is developed for automatic inspection. The results of classification show that the accuracy rate is 100%, demonstrating that the system has significant potential in detecting magnetic tile internal cracks.

show abstract

Section: Basis Of Wptmentioning

confidence: 99%

“…[16] A three-level WPT of a signal is shown in Figure 2. 2 n different approximation and detail signals are obtained at nth level WPT decomposition.…”

Section: Basis Of Wptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

See 1 more Smart Citation

Inspection of magnetic tile internal cracks based on impact acoustics

Xie

Huang

Zhao

et al. 2015

Nondestructive Testing and Evaluation

View full text Add to dashboard Cite

show abstract

“…Dane eksperymentalne wymagają wnikliwej analizy, do której można wykorzystać różnego rodzaju metody jak choćby te, zaprezentowane w pracach [5], [7], [8] i [9]. W dalszej części artykułu zostanie pokazane, że analiza zmian kształtu funkcji przejścia z wykorzystaniem metody wektorów nośnych (ang: Support Vector Machines, SVM, [10]) umożliwia skuteczną detekcję uszkodzeń węzłów badanej ramy. …”

Section: Wprowadzenieunclassified

Wykrywanie Uszkodzeń Węzłów W Modelu Ramy Stalowej Na Podstawie Analizy Inertancji

Ziaja

Miller

2017

ZNPRzBiS

View full text Add to dashboard Cite

“…Guided waves are ultrasonic waves enforced to follow a path dictated by the geometric boundaries of the structure. Guided waves are very sensitive to the discontinues of structures [19,20]. Sensor using piezoelectric elements to generate and receive ultrasonic waves, which are guided by a steel bar, had been fabricated.…”

Section: Introductionmentioning

confidence: 99%