Impact Detection and Identification with Piezoceramic Sensors: Passive Sensing

2017 ◽  
pp. 215-265 ◽  
Author(s):  
Z. Sharif Khodaei ◽  
M. H. Ferri Aliabadi
Keyword(s):  
Impact Detection ◽  
Detection And Identification ◽  
Passive Sensing

Statistical Analysis of SHM Passive Sensing Systems

2015 ◽  
Vol 665 ◽  
pp. 241-244
Author(s):  
Marco Thiene ◽  
Zahra Sharif Khodaei ◽  
M.H. Aliabadi
Keyword(s):  
Statistical Analysis ◽  
Health Monitoring ◽  
Sensor Failure ◽  
Impact Detection ◽  
Sensing Systems ◽  
Detection And Identification ◽  
Passive Sensing ◽  
Service Load ◽  
Reliability And Robustness ◽  
Load Conditions

Structural Health Monitoring (SHM) techniques have gained an increased interest to be utilised alongside NDI techniques for aircraft maintenance. However, to take the SHM methodologies from the laboratory conditions to actual structures under real load conditions requires them to be assessed in terms of reliability and robustness. In this work, a statistical analysis is carried out for a passive SHM system capable of impact detection and identification. The sensitivity of the platform to parameters such as noise, sensor failure and in-service load conditions has been investigated and reported.

scholarly journals A Convolutional Neural Network for Impact Detection and Characterization of Complex Composite Structures

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4933 ◽  
Author(s):  
Iuliana Tabian ◽  
Hailing Fu ◽  
Zahra Sharif Khodaei
Keyword(s):  
Composite Structures ◽  
Energy Levels ◽  
Real Life ◽  
Ultrasonic Waves ◽  
Stiffened Panel ◽  
Network Architectures ◽  
Impact Detection ◽  
Passive Sensing ◽  
External Impact

This paper reports on a novel metamodel for impact detection, localization and characterization of complex composite structures based on Convolutional Neural Networks (CNN) and passive sensing. Methods to generate appropriate input datasets and network architectures for impact localization and characterization were proposed, investigated and optimized. The ultrasonic waves generated by external impact events and recorded by piezoelectric sensors are transferred to 2D images which are used for impact detection and characterization. The accuracy of the detection was tested on a composite fuselage panel which was shown to be over 94%. In addition, the scalability of this metamodelling technique has been investigated by training the CNN metamodels with the data from part of the stiffened panel and testing the performance on other sections with similar geometry. Impacts were detected with an accuracy of over 95%. Impact energy levels were also successfully categorized while trained at coupon level and applied to sub-components with greater complexity. These results validated the applicability of the proposed CNN-based metamodel to real-life application such as composite aircraft parts.

Identification of hepatitis a virus in cell cultures by solid phase immune electron microscopy

1986 ◽  
Vol 44 ◽  
pp. 238-239
Author(s):  
C.D. Humphrey ◽  
T.L. Cromeans ◽  
E.H. Cook ◽  
D.W. Bradley
Keyword(s):  
Electron Microscopy ◽  
Liquid Phase ◽  
Cell Cultures ◽  
Rapid Detection ◽  
Hepatitis A ◽  
Hepatitis A Virus ◽  
Solid Phase ◽  
Immune Electron Microscopy ◽  
Detection And Identification

There is a variety of methods available for the rapid detection and identification of viruses by electron microscopy as described in several reviews. The predominant techniques are classified as direct electron microscopy (DEM), immune electron microscopy (IEM), liquid phase immune electron microscopy (LPIEM) and solid phase immune electron microscopy (SPIEM). Each technique has inherent strengths and weaknesses. However, in recent years, the most progress for identifying viruses has been realized by the utilization of SPIEM.

115: Detection and Identification of Bacterial DNA and HIV Gag in the Semen of HIV Infected Men

2004 ◽  
Vol 171 (4S) ◽  
pp. 30-30
Author(s):  
Robert C. Eyre ◽  
Ann A. Kiessling ◽  
Thomas E. Mullen ◽  
Rachel L. Kiessling
Keyword(s):  
Bacterial Dna ◽  
Detection And Identification
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