Instrumentation of integrally stiffened composite panel with fiber Bragg grating sensors for vibration measurements

Jiang

Mathematical Problems in Engineering

et al. 2019

State monitoring and fault diagnosis of an internal combustion engine are critical for complex machinery safety. In the present study, a high-frequency vibration system was proposed based on Fiber Bragg Grating (FBG) cantilever sensor and intelligent algorithm. Structural vibration signal containing fault information of engine valves and oil nozzle was identified by FBG sensors and preprocessed using wavelet decomposition and reconstruction. Moreover, vibration energy was taken as fault characteristics. Subsequently, a fault identification model was built based on multiclass υ-support vector classification (υ-SVC). Experimental tests on the valve fault and fuel injection advance angle fault were performed and presented to verify the efficacy of the proposed approach. The results here reveal that the proposed method exhibits excellent fault detection performance for ICE fault identification. Furthermore, the proposed method can achieve higher performance than other methods in the fault identification accuracy.

Section: Introductionmentioning

confidence: 99%

Internal Combustion Engine Fault Identification Based on FBG Vibration Sensor and Support Vector Machines Algorithm

Jiang

Mathematical Problems in Engineering

et al. 2019

“…The aim of vascular localization devices is to locate blood vessels as rapidly and accurately as possible with the least amount of cost and training. With growing popularity of fiber optic sensors as can be seen by the numerous applications in a wide variety of fields [20][21][22][23][24][25][26][27][28][29], including in medicine [30][31][32][33][34], fiber optic sensing may help bring in the next stage of development in vascular localization devices. The work presented in this paper lays the foundation work for a fiber optics device that can provide visual clues about arterial location information based on measured needle deflections.…”

Section: Introductionmentioning

confidence: 99%

Fiber Bragg grating based arterial localization device

Razavi³

et al. 2017

Smart Mater. Struct.

A critical first step to many surgical procedures is locating and gaining access to a patients vascular system. Vascular access allows the deployment of other surgical instruments and also the monitoring of many physiological parameters. Current methods to locate blood vessels are predominantly based on the landmark technique coupled with ultrasound, fluoroscopy, or Doppler. However, even with experience and technological assistance, locating the required blood vessel is not always an easy task, especially with patients that present atypical anatomy or suffer from conditions such as weak pulsation or obesity that make vascular localization difficult. With recent advances in fiber optic sensors, there is an opportunity to develop a new tool that can make vascular localization safer and easier. In this work, the authors present a new fiber Bragg grating (FBG) based vascular access device that specializes in arterial localization. The device estimates the location towards a local artery based on the bending of a needle inserted near the tissue surrounding the artery. Experimental results obtained from an artificial circulatory loop and a mock artery show the device works best for lower angles of needle insertion and can provide an approximately 40° range of estimation towards the location of a pulsating source (e.g. an artery).

“…FBG sensors are preferred to be installed on the surfaces of the monitored structures, and adhesive glue is introduced to provide the cohesive force to fix the sensor. The implementation of the FBG sensors on site addresses further challenges, for the surface-attached sensors are prone to debonding, particularly under the cyclic load [11,12]. Besides of selecting the glue with high adhesive performance to decrease the occurrence of interfacial debonding, understanding the complex interactions between the sensor and the material surrounding it can be an effective approach to avoid this phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Analysis on Strain Transfer Error of FBG Sensors Attached on Steel Structures Subjected to Fatigue Load

Wang

Xiang

2016

Strain

Fibre Bragg grating (FBG) sensors have been increasingly adopted to detect the dynamic strain of structures. When the sensor is attached on the surface, adhesive material is employed to assist the installation, which leads to indirect contact of sensing fibre and the monitored structure. To correct the strain transfer error induced by the shear lag effect and improve the measurement accuracy of FBG sensors under dynamic response, strain transfer mechanism of a three-layered testing model constituted of sensing fibre, adhesive layer and host material has been studied in this paper. Laboratory test on steel beam attached with FBG sensor under fatigue load has been projected to investigate the feasibility of the derived strain transfer formula, and numerical simulation by MATLAB has been used as a supporting tool to offer the reference dynamic strain. Based on the analysis, sensitive parameters that affect the strain transfer coefficient have been discussed to instruct the application design of FBG sensors. Results indicate that strain transfer coefficient under dynamic response is much lower than that in static state, and error modification is particularly significant; in the dynamic testing model, bonded length, shear modulus and thickness of adhesive layer are more sensitive, which should be precisely selected in practical engineering to guarantee the effective strain measurement.