Fiber Optic Sensors for Structural Health Monitoring of Air Platforms
By Honglei Guo, Gaozhi George Xiao, Nezih Mrad, Jianping Yao. Italian National Conference on Sensors, 2011
309 citations recorded by the source corpus.
Aircraft operators are faced with increasing requirements to extend the service life of air platforms beyond their designed life cycles, resulting in heavy maintenance and inspection burdens as well as economic pressure. Structural health monitoring (SHM) based on advanced sensor technology is potentially a cost-effective approach to meet operational requirements, and to reduce maintenance costs. Fiber optic sensor technology is being developed to provide existing and future aircrafts with SHM capability due to its unique superior characteristics. This review paper covers the aerospace SHM requirements and an overview of the fiber optic sensor technologies. In particular, fiber Bragg grating (FBG) sensor technology is evaluated as the most promising tool for load monitoring and damage detection, the two critical SHM aspects of air platforms. At last, recommendations on the implementation and integration of FBG sensors into an SHM system are provided.
Subfields: Bioengineering, Civil and Structural Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e85160843ba83ceb37ea0c530042efb84a469d8c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Bioengineering
In Civil and Structural Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- A Review of Distributed Optical Fiber Sensors for Civil Engineering Applications (2016, background): “However, and taking into account the goal of this paper, they can be categorized into three different classes: interferometric sensors, grating-based sensors and distributed sensors [30] (Figure 3).”
- Fibre Optic Sensors for Structural Health Monitoring of Aircraft Composite Structures: Recent Advances and Applications (2015, methodology): “Schematic classification of FBG interrogation techniques based on scan rate and applications (adapted from [40]).”