Micrometeoroid and Orbital Debris Impact Detection and Location Based on FBG Sensor Network Using Combined Artificial Neural Network and Mahalanobis Distance Method

Jin, Jing; Zhu, Yunhong; Zhang, Yibo; Zhang, Dongwei; Zhang, Zuchen

doi:10.1109/tim.2021.3091501

Cited by 15 publications

(6 citation statements)

References 28 publications

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“…As shown in Figure 9 that the synthetical anomaly index of faulty 26, 27, 28, 29, and 30 FBG sensors is significantly higher than that of the other normal 25 FBG sensors. Furthermore, according to Equation (8) and Figure 9, we can know that too many abnormal or faulty points could cause excessive discrete distribution of leading to poor detection results. Then, the anomaly and faulty coefficients 1 t and 2 t are bound to make further adjustments according to the discrete degree of features.…”

Section: Typical Fault Simulation Testmentioning

confidence: 99%

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Development of a Fault Detection Instrument for Fiber Bragg Grating Sensing System on Airplane

Kong

Chen

2022

Micromachines

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This study develops a fault detection device for the fiber Bragg grating (FBG) sensing system and a fault detection method to realize the rapid detection of the FBG sensing system on airplanes. According to the distribution of FBG sensors on airplanes, the FBG sensing system is built based on wavelength division multiplexing (WDM) and space division multiplexing (SDM) technologies. Furthermore, the hardware and software of the fault detection device and the relevant FBG demodulator are studied in detail. Additionally, in view of the similar features of the healthy FBG sensor in the same measuring point, a rapid fault diagnosis method based on a synthetical anomaly index is proposed. The features (light intensity I, signal length L, standard deviation of original sampleand energy value in time-domain P) of FBG sensors are extracted. The aggregation center value of the above feature values is obtained through the loop iteration method. Furthermore, the separation degrees of features are calculated and then form the synthetical anomaly index so as to make an effective diagnosis of the state of the FBG sensor. Finally, the designed fault detection instrument and proposed fault detection method are used to monitor the 25 FBG sensors on the airplane, the results indicated that three faulty and two abnormal FBG sensors on the airplane are identified, showing the effectiveness of the proposed fault detection method.

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Section: Typical Fault Simulation Testmentioning

confidence: 99%

“…for effective structural component monitoring [4][5][6]. Furthermore, it is well known that FBG multiplexing technology is commonly used to connect a number of FBG sensors in series, which could share the same light source and demodulation system [7,8]. It also reduces the size of the network circuit and improves space usage [9].…”

Section: Introductionmentioning

confidence: 99%

Development of a Fault Detection Instrument for Fiber Bragg Grating Sensing System on Airplane

Kong

Chen

2022

Micromachines

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“…At present, the main detection methods around the impact source localization problem focus on the infrared imaging method [ 7 , 8 ], resistive thin film method [ 9 ], fiber grating method [ 10 , 11 ], acceleration method [ 12 ], and the acoustic detection method [ 13 , 14 , 15 ]. Among them, acoustic detection methods have been widely focused on due to the advantages of high system integration, high sensitivity, and fast detection speed.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Source Localization in CFRP Composite Plate Based on Wave Velocity-Direction Function Fitting

Feng

Rui

et al. 2023

Sensors

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Composite materials are widely used, but they are often subjected to impacts from foreign objects, causing structural damage. To ensure the safety of use, it is necessary to locate the impact point. This paper investigates impact sensing and localization technology for composite plates and proposes a method of acoustic source localization for CFRP composite plates based on wave velocity-direction function fitting. This method divides the grid of composite plates, constructs the theoretical time difference matrix of the grid points, and compares it with the actual time difference to form an error matching matrix to localize the impact source. In this paper, finite element simulation combined with a lead-break experiment is used to explore the wave velocity-angle function relationship of Lamb waves in composite materials. The simulation experiment is used to verify the feasibility of the localization method, and the lead-break experimental system is built to locate the actual impact source. The results show that the acoustic emission time-difference approximation method can effectively solve the problem of impact source localization in composite structures, and the average localization error is 1.44 cm and the maximum localization error is 3.35 cm in 49 experimental points with good stability and accuracy.

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“…The inverse problem analysis method is not affected by acoustic wave propagation and does not require sensors with high dynamic performance, making it an excellent method for impact localization. Commonly used positioning sensors include polyvinylidene fluoride [8,9], piezoelectric [10,11], fiber optic fiber Bragg grating (FBG) [12][13][14][15][16]. Traditional electrical sensors have limitations such as difficulty in multiplexing, heavy cable weight, and susceptibility to electromagnetic interference, which restrict their application in aviation impact measurement.…”

Section: Introductionmentioning

confidence: 99%

“…Shrestha et al [13] placed four FBG sensors along a 45 • direction on the four corners of a composite plate, using an impact localization algorithm including elimination of error outliers and achieved an average error of about 20 mm. Jin et al [14] placed four sensors along the horizontal direction outside the detection area, using the martingale, distance and impact point coordinates as inputs and outputs for an artificial neural network. Ding et al [15] arranged 8 FBGs in the center of 4 corners and 4 edges of a composite plate, using Db3-wavelet threshold noise reduction, the average error is 8.19 mm.…”

Section: Introductionmentioning

confidence: 99%

FBG array arrangement optimization for impact localization

Duan,

Cao,

Wang

et al. 2023

Meas. Sci. Technol.

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A method to optimize the arrangement of an fiber Bragg grating (FBG) array is described to address the need to improve the accuracy of impact localization for aerospace vehicles. The sensitive area of the FBG, which is approximately elliptical, is analyzed using finite element simulation and experimental measurement. Based on this analysis, three optimized FBG sensing arrangements are proposed to improve the coverage of the FBG sensitive area at the center, located on the side and corner positions of an experimental test sample when subject to an impact. By employing the inverse problem analysis method in multiple repetitions of impact localization experiments, the accuracy of impact localization is improved from 74% with the traditional 4-corner arrangement to 84%, 88%, and 91% respectively for the three arrangements, demonstrating the effectiveness of the optimized FBG array arrangement method.

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Micrometeoroid and Orbital Debris Impact Detection and Location Based on FBG Sensor Network Using Combined Artificial Neural Network and Mahalanobis Distance Method

Cited by 15 publications

References 28 publications

Development of a Fault Detection Instrument for Fiber Bragg Grating Sensing System on Airplane

Development of a Fault Detection Instrument for Fiber Bragg Grating Sensing System on Airplane

Acoustic Source Localization in CFRP Composite Plate Based on Wave Velocity-Direction Function Fitting

FBG array arrangement optimization for impact localization

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