Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring
By Xiaoliang Zhao, Huidong Gao, Guangfan Zhang, B. Ayhan, Fei Yan, C. Kwan, Joseph L. Rose. 2007
794 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/6b418c1262c9d8d5af6a365c57eb6dc5320a76b4
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In Civil and Structural Engineering
In Mechanical Engineering
In Mechanics of Materials
- Z. Sharif-Khodaei
- M. H. Aliabadi
- Jennifer E. Michaels
- Xinlin Qing
- Li Cheng
- Vivek T. Rathod
- Sascha Duczek
- C. Willberg
Citations in the corpus
- Assessment of delay-and-sum algorithms for damage detection in aluminium and composite plates (2014, methodology): “Zhao et al (2007) have developed an algorithm called reconstruction algorithm for probabilistic inspection of defects (RAPID) which adds the contributions of the signal differences, between the pristine and damage states, for all transducer pairs.”
- Detection, localization and characterization of damage in plates with an in situ array of spatially distributed ultrasonic sensors (2008, methodology): “(2) This feature is the 'signal difference coefficient' of the RAPID algorithm proposed by Zhao et al [13].”
- Active health monitoring of an aircraft wing with an embedded piezoelectric sensor/actuator network: II. Wireless approaches (2007, methodology): “As in part I of the study [1], an eight-element”
- A Lamb-wave-based technique for damage detection in composite laminates (2009, background): “Zhao et al (2007) developed a reconstruction algorithm for probabilistic inspection of defects (RAPID) for damage detection in an aircraft wing using ultrasonic guided waves.”
- A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates (2018, background): “The development of a comprehensive on-site health monitoring system that can inspect a relatively large area, instantly providing reliable, quantitative structural health data such as type of defect, location, and severity level minimizes and eventually eliminates drawbacks caused by stoppages for m”
- Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features (2014, methodology): “Residing on β′, a DI is constructed using the aforementioned PIA, defined at pixel ðxm; ynÞ (denoted by DIi ðxm; ynÞjnonlinear β′), as DIiðxm; ynÞjnonlinear β′ ¼ β′i ς Riðx; yÞ ς 1 : ð17Þ The subscripts “i” and “nonlinear-β′” stress that the index is defined for the sensing path with Si being the ac”