Application of Plastic Optical Fiber Fatigue Sensor in Real-Time Monitoring of Fatigue Cracks in Steel Structures

2020 ◽  
Vol 15 (7) ◽  
pp. 864-869
Author(s):  
Ying Liu
Keyword(s):  
Signal Processing ◽  
Optical Fiber ◽  
Real Time ◽  
Fatigue Cracks ◽  
Steel Structures ◽  
Luminous Flux ◽  
Plastic Optical Fiber ◽  
Signal Processing Algorithm ◽  
New Type ◽  
Fatigue Sensor

Plastic optical fiber (POF) is a new type of sensing material. Compared with traditional quartz optical fiber, it has the advantages of good tenacity, low cost, easy processing, and high sensitivity. A new type of POF-Fatigue sensor (nPOF-Fs) is designed by using POF, which is based on the changes the luminous flux. The change in the relative displacement of the two ends of the fiber is obtained through the change in the luminous flux in the POF, which is later converted into an electrical signal by the photoelectric conversion device. By collecting and analyzing the signals, accurate measurement of the dynamic response of the workpiece is achieved. Combined with the signal processing algorithm that can detect and monitor the crack expansion of steel structures under cyclic loading based on the RMS envelope and Hilbert transform filters, the fatigue crack can be monitored in real-time. The results obtained by nPOF-Fs are fundamentally coincide with the results acquired by the COD sensor. In view of the higher cost of monitoring with the COD sensor, the use of a POF sensor combined with a signal processing algorithm in monitoring the occurrence and expansion of fatigue cracks has great potential in the field of structural monitoring.

scholarly journals Real Time Detection of R – Peak in QRS Complex of ECG using Microcontroller

2018 ◽  
Vol 11 (1) ◽  
pp. 372
Author(s):  
Santipriya N ◽  
Venkateswara Rao M ◽  
Arun V ◽  
R Karthik
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Heart Diseases ◽  
Processing Algorithm ◽  
Ecg Signal ◽  
Qrs Complex ◽  
Peak Detector ◽  
Signal Processing Algorithm ◽  
The Subject ◽  
Real Time Detection

<p>Real-time detection of R peaks in QRS complex of ECG signal is the first step in the processing of ECG waveform. Based on this, various other ECG parameters can be extracted. These parameters provide substantial information about various heart diseases. In this paper, we are proposing a method to detect R – peaks of ECG signal dynamically. The most prominent role in the R – peak detector is executed by the microcontroller. This method originates by acquiring signal from the subject and necessary pre-processing is carried out on the signal in order to achieve the denoised signal. Subsequently, this filtered signal is handed over to microcontroller where a pulse is generated for each R – peak that is found in the QRS complex of ECG signal. The microcontroller is embedded with a signal processing algorithm. The algorithm used to determine the R – peaks is double differentiation method which is straightforward and robust.  </p>

scholarly journals DIGITAL HEARING AID SIGNAL PROCESSING SYSTEM USING ANDROID PHONE

2019 ◽  
pp. 177-181
Author(s):  
YEH-HUANN GOH ◽  
YOON-KET LEE ◽  
MUM-WAI YIP ◽  
KOK-SENG EU ◽  
YANN LING GOH ◽  
...  
Keyword(s):  
Signal Processing ◽  
Hearing Loss ◽  
Frequency Response ◽  
Real Time ◽  
Hearing Aid ◽  
Processing Algorithm ◽  
Signal Processing Algorithm ◽  
Digital Hearing Aid ◽  
Simulation Results ◽  
Digital Algorithm

Objective: The objective of this research is to propose an Android-based digital hearing aid signal processing algorithm with following key features:(1) Regenerated audio match the patient-specific pattern of hearing loss, (2) noise reduction, and (3) provide flexibility to the users.Methods: The proposed signal processing algorithm is designed based on the specific hearing loss of the hearing disorder patient using inverse Fouriertransform; besides, noise reduction feature is included in the digital algorithm design as well. Proposed digital algorithm has been implemented intoan Android-based smartphone and its performance has been tested under real-time condition.Results: Simulation results show that the frequency response of the proposed digital hearing aid signal processing algorithm is in agreement withthe initial theoretical design that was carried out based on the hearing impaired patient’s audiogram. The proposed algorithm has been implementedin the Android-based smartphone and tested in real time. Results show that most of the patients are satisfied with the regenerated audio quality.According to patient’s comments, the regenerated audio is clear and the users are allowed to control the volume level. Besides, no obvious hearinglatency can be detected.Conclusion: Audio signals generated by the proposed digital signal processing algorithm show similar audio signal frequency response in boththeoretical design and MATLAB simulation results. The only difference between the design and simulation results is the amplification levels. Theproposed algorithm provides flexibility to the users by allowing them to choose the desired amplification level. In real-time testing, the proposedAndroid-based digital hearing aid is able to reduce noise level from the surrounding and the output processed speech match the patient-specifichearing loss.

Signal-processing algorithm for white-light optical fiber extrinsic Fabry–Perot interferometric sensors

2004 ◽  
Vol 29 (15) ◽  
pp. 1736 ◽  
Author(s):  
Ming Han ◽  
Yan Zhang ◽  
Fabin Shen ◽  
Gary R. Pickrell ◽  
Anbo Wang
Keyword(s):  
Signal Processing ◽  
Optical Fiber ◽  
White Light ◽  
Processing Algorithm ◽  
Signal Processing Algorithm ◽  
Interferometric Sensors ◽  
Fabry Perot

Plastic Optical Fiber Sensor for Real Time Density Measurements in Wine Fermentation

2007 ◽  
Author(s):  
Ana Maria Cao y Paz ◽  
Jorge Marcos Acevedo ◽  
Jesus Doval Gandoy ◽  
Alfredo del Rio Vazquez ◽  
Carlos Martinez-Penalver Freire ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Real Time ◽  
Optical Fiber Sensor ◽  
Wine Fermentation ◽  
Fiber Sensor ◽  
Plastic Optical Fiber ◽  
Density Measurements ◽  
Time Density

scholarly journals Dynamic Measurements of Tank Wall Deformations as a New Method for Assessing its Technical Condition

2021 ◽  
Vol 2096 (1) ◽  
pp. 012026
Author(s):  
E Sh Gaysin ◽  
A R Valeev ◽  
R R Tashbulatov
Keyword(s):  
Optical Fiber ◽  
Light Guide ◽  
Fatigue Cracks ◽  
Technical Condition ◽  
Luminous Flux ◽  
New Approach ◽  
Steel Tank ◽  
Cycle Loading ◽  
The Difference ◽  
Number Of Cycles

Abstract The paper proposes a new approach to assessing the residual resource of the wall of a vertical steel tank by the criterion of low-cycle loading, taking into account its actual deformations. The method is based on the principle of measuring the difference in the power of the luminous flux at the ends of the light tube (light guide) when it is bent. An experiment was carried out using an optical pair (LED and photodiode) and an optical fiber. For this purpose, templates with known radii of curvature were prepared, a prototype of an Arduino-based device was developed and an optical fiber was manufactured, which was subsequently fixed on the wall of a two-hundred-liter metal barrel. As a result of the experiments, a formula was obtained for determining the curvature of the wall depending on the readings of the sensor. The sensitivity of the proposed method is estimated. An algorithm for determining the number of cycles before the formation of fatigue cracks is proposed, taking into account the actual values of the wall deflection.

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