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Acoustic Emission crack Detection

Large-volume cubic high-pressure apparatus. ( a ) Appearance; ( b ) internal anvils.

The waveform and time-frequency representation. ( a ) Normal sound pulse; ( b ) cracked sound pulse.

Frequency representation of the cracked sound pulses in combination with normal ones.

The general block diagram of the proposed method.

The location of the measuring microphone.

The cracked anvil.

The cracked sound pulse extraction from the original AE signal. ( a ) Normal sound pulse with its duration less than the criteria; ( b ) cracked sound pulse covered up by significant background noise; ( c ) normal sound pulse with its average energy smaller than the threshold.

The results of feature extraction. ( a ) ZCR; ( b ) SPLs; ( c ) LPCCs.

The cumulative contribution rate (CCR) with the increase of the principal components.

Results of the parameter optimization in the SVM classifier.

Classification results of the SVM-kNN classifier with different principal components.

The trained hyperplane with the three principal components.

Classification results of the SVM-kNN and stand-alone SVM with the three principal components.

Large-volume cubic high-pressure apparatus. ( a ) Appearance; ( b ) internal anvils.

The waveform and time-frequency representation. ( a ) Normal sound pulse; ( b ) cracked sound pulse.

Frequency representation of the cracked sound pulses in combination with normal ones.

The general block diagram of the proposed method.

The location of the measuring microphone.

The cracked anvil.

The cracked sound pulse extraction from the original AE signal. ( a ) Normal sound pulse with its duration less than the criteria; ( b ) cracked sound pulse covered up by significant background noise; ( c ) normal sound pulse with its average energy smaller than the threshold.

The results of feature extraction. ( a ) ZCR; ( b ) SPLs; ( c ) LPCCs.

The cumulative contribution rate (CCR) with the increase of the principal components.

Results of the parameter optimization in the SVM classifier.

Classification results of the SVM-kNN classifier with different principal components.

The trained hyperplane with the three principal components.

Classification results of the SVM-kNN and stand-alone SVM with the three principal components.

Chen, B.; Wang, Y.; Yan, Z. Use of Acoustic Emission and Pattern Recognition for Crack Detection of a Large Carbide Anvil. Sensors 2018, 18, 386.

Chen B, Wang Y, Yan Z. Use of Acoustic Emission and Pattern Recognition for Crack Detection of a Large Carbide Anvil. Sensors. 2018; 18(2):386.

Chen, Bin; Wang, Yanan; Yan, Zhaoli. 2018. «Use of Acoustic Emission and Pattern Recognition for Crack Detection of a Large Carbide Anvil.» Sensors 18, no. 2: 386.

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

C. G. Sifniotopoulos, I. M. Daniel , E. Widder, G. Novak

Research output : Contribution to specialist publication › Article

The acoustic emission method was applied to detect crack initiation under fatigue loading in a formed sheet metal automotive component. A feasibility study was undertaken to evaluate the effectiveness of the method. A number of tests were conducted to improve the sensitivity and repeatability of results. The specimen geometry and testing procedure were designed to simulate service conditions. Two sets of tests were conducted at two different cyclic amplitudes. Four transducers arranged near the formed area were used to improve the accuracy and sensitivity of the system. It was shown that the history plots with the peak value of the parameter recorded are useful in determining crack initiation and propagation in a noisy environment. The results showed consistency and reliability and prove that the acoustic emission technique is a suitable tool for real time inspection.

ASJC Scopus subject areas

  • Materials Science (miscellaneous)

In: Materials Evaluation , Vol. 57, No. 10, 01.10.1999, p. 1095-1098.

Research output : Contribution to specialist publication › Article

T1 — Crack detection in formed sheet metal by acoustic emission

AU — Sifniotopoulos,C. G.

N2 — The acoustic emission method was applied to detect crack initiation under fatigue loading in a formed sheet metal automotive component. A feasibility study was undertaken to evaluate the effectiveness of the method. A number of tests were conducted to improve the sensitivity and repeatability of results. The specimen geometry and testing procedure were designed to simulate service conditions. Two sets of tests were conducted at two different cyclic amplitudes. Four transducers arranged near the formed area were used to improve the accuracy and sensitivity of the system. It was shown that the history plots with the peak value of the parameter recorded are useful in determining crack initiation and propagation in a noisy environment. The results showed consistency and reliability and prove that the acoustic emission technique is a suitable tool for real time inspection.

AB — The acoustic emission method was applied to detect crack initiation under fatigue loading in a formed sheet metal automotive component. A feasibility study was undertaken to evaluate the effectiveness of the method. A number of tests were conducted to improve the sensitivity and repeatability of results. The specimen geometry and testing procedure were designed to simulate service conditions. Two sets of tests were conducted at two different cyclic amplitudes. Four transducers arranged near the formed area were used to improve the accuracy and sensitivity of the system. It was shown that the history plots with the peak value of the parameter recorded are useful in determining crack initiation and propagation in a noisy environment. The results showed consistency and reliability and prove that the acoustic emission technique is a suitable tool for real time inspection.

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ABS Media Relations

Acoustic Emission Technology Enables Improved Crack, Corrosion Detection

ABS introduces industry-leading guidance that promotes advanced methodology for continuous structural health monitoring.

(Houston) ABS, a leading provider of classification and technical services to the marine and offshore industries, has published the ABS Guidance Notes on Structural Monitoring Using Acoustic Emissions. This industry-leading guidance presents best practices for planning and executing Acoustic Emission Testing (AET).

“A primary goal at ABS is to improve safety without interrupting operations,” says ABS Chairman, President and CEO Christopher J. Wiernicki. “These new Guidance Notes (GN) provide a framework that will help companies perform AET in support of continuous health monitoring for their assets.”

AET is a passive nondestructive examination technology that has been successfully applied to detect and monitor crack propagation, corrosion activity, cavitation erosion and leaking in structures made of steel, aluminum, composites and other materials. AET is seeing increasingly widening applications in a number of industries as a feasible way to detect weaknesses and monitor structural health in a broad spectrum of structures from storage tanks, suspension bridges, nuclear plants, pressure vessels and LNG tanks to mooring chains and airplanes.

Ships and offshore structures continue to become larger and more complex, requiring operators to have an in-depth knowledge of structural integrity. The AET GN addresses this need by providing a non-intrusive, real-time technique for monitoring structural health on an operating asset.

“As a technology leader, ABS recognizes the growing industry focus on digitization and more advanced monitoring methods,” says ABS Chief Technology Officer Howard Fireman. “The Guidance Notes address the latest technological shifts in industry, leveraging real-time monitoring to help owners and operators better understand the health of their assets and guide their maintenance and repair decisions.” This guidance was developed based on a series of joint industry projects in which owners, operators and ABS worked together to improve asset integrity applying this advanced health-monitoring technology.

ABS first accepted AET as a feasible tool for real-time monitoring of sub-critical structural flaws in the ABS Guide for Vessels Intended to Carry Compressed Natural Gases in Bulk (2005). The IACS UR Z17 Procedural Requirements for Service Suppliers (2016) accepts AET for leak testing in gas carriers and requires documented procedures based upon recognized standards.

Founded in 1862, ABS is a leading international classification organization devoted to promoting the security of life and property and preserving the natural environment through the development and verification of standards for the design, construction and operational maintenance of marine and offshore assets.


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