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Xinlin Qing
Researcher at Xiamen University
Publications - 185
Citations - 3406
Xinlin Qing is an academic researcher from Xiamen University. The author has contributed to research in topics: Structural health monitoring & Computer science. The author has an hindex of 25, co-authored 143 publications receiving 2303 citations. Previous affiliations of Xinlin Qing include Comac & Tsinghua University.
Papers
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Journal ArticleDOI
Piezoelectric Transducer-Based Structural Health Monitoring for Aircraft Applications.
TL;DR: The requirements for practical implementation and use of structural health monitoring systems in aircraft application, state-of-the-art techniques for solving some practical issues, such as sensor network integration, scalability to large structures, reliability and effect of environmental conditions, robust damage detection and quantification are discussed.
Proceedings ArticleDOI
SMART Layer and SMART Suitcase for structural health monitoring applications
TL;DR: Acellent Technologies as mentioned in this paper developed a system for actively and passively interrogating the health of a structure through an integrated network of sensors and actuators, which can be used for monitoring structural condition and for detecting damage while the structures are in service.
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Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features
TL;DR: In this article, a hybrid approach for characterizing fatigue damage was developed, using two genres of damage indices constructed based on the linear and the nonlinear features of acousto-ultrasonic waves.
Journal ArticleDOI
Modeling nonlinearities of ultrasonic waves for fatigue damage characterization: theory, simulation, and experimental validation.
TL;DR: This study has yielded a quantitative characterization strategy for fatigue cracks using embeddable piezoelectric sensor networks, facilitating deployment of structural health monitoring which is capable of identifying small-scale damage at an embryo stage and surveilling its growth continuously.
Journal ArticleDOI
Built-in sensor network for structural health monitoring of composite structure
TL;DR: In this paper, a method for integrating piezoelectric sensor networks into a composite structure during different fabrication processes, including the resin transfer molding (RTM) and filament winding processes, is examined.