scholarly journals FORMATION OF THE OBJECT IDENTIFICATION ZONE WITH LASER INFORMATION-MEASURING SYSTEMS AT SHORT DISTANCES

2021 ◽  
Vol 18 (4) ◽  
pp. 43-52
Author(s):  
V. I. Santoniy ◽  
Ya. I. Lepikh ◽  
L. M. Budianskaya ◽  
V. I. Yanko
Keyword(s):  
Signal Processing ◽  
Processing Time ◽  
Radiation Power ◽  
Temporal Structure ◽  
Object Identification ◽  
Measuring Systems ◽  
Information Measuring ◽  
Destabilizing Factors ◽  
Space Time Structure ◽  
Detection And Recognition

The optimization of the methods for the formation of the spatial-energy distribution of the probing radiation power and the processing the receiving signal by the locating laser information-measuring systems (LIMS), taking into account the spatial-temporal structure, is carried out, and the analysis of the existing methods of their processing is carried out too. An assessment of the integral criteria for the LIMS functioning when operating in conditions of interference has been made. The calculation of the parameters of the LIMS main links was carried out, taking into account the correlation between the resolution of the optical system and the capabilities of object detection, recognition and classification. A method was developed for the formation of the probing radiation density distribution and the receiving signal processing, taking into account its space-time structure, which made it possible to determine the optimal duration of the laser probe pulse. The determined duration makes it possible to eliminate errors in measuring the parameters of an object's movement under the influence of a combination of destabilizing factors and a lack of signal processing time, which will ensure the accuracy of the target detection and recognition.

scholarly journals Comparative Analysis on the Deployment of Machine Learning Algorithms in the Distributed Brillouin Optical Time Domain Analysis (BOTDA) Fiber Sensor

Photonics ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 79 ◽  
Author(s):  
Nur Dalilla Nordin ◽  
Mohd Saiful Dzulkefly Zan ◽  
Fairuz Abdullah
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Comparative Analysis ◽  
Time Domain ◽  
Prediction Accuracy ◽  
Processing Time ◽  
Time Domain Analysis ◽  
Fiber Sensor ◽  
Temperature Prediction ◽  
Optical Time

This paper demonstrates a comparative analysis of five machine learning (ML) algorithms for improving the signal processing time and temperature prediction accuracy in Brillouin optical time domain analysis (BOTDA) fiber sensor. The algorithms analyzed were generalized linear model (GLM), deep learning (DL), random forest (RF), gradient boosted trees (GBT), and support vector machine (SVM). In this proof-of-concept experiment, the performance of each algorithm was investigated by pairing Brillouin gain spectrum (BGS) with its corresponding temperature reading in the training dataset. It was found that all of the ML algorithms have significantly reduced the signal processing time to be between 3.5 and 655 times faster than the conventional Lorentzian curve fitting (LCF) method. Furthermore, the temperature prediction accuracy and temperature measurement precision made by some algorithms were comparable, and some were even better than the conventional LCF method. The results obtained from the experiments would provide some general idea in deploying ML algorithm for characterizing the Brillouin-based fiber sensor signals.

Mechatronic Elements for Measuring Systems

2013 ◽  
Vol 199 ◽  
pp. 332-337
Author(s):  
Vytautas Giniotis ◽  
Mindaugas Rybokas ◽  
Gintaras Dmitrijev ◽  
Deividas Sabaitis ◽  
Lauryna Šiaudinytė ◽  
...  
Keyword(s):  
Signal Processing ◽  
Angular Position ◽  
Linear Measurement ◽  
Angle Measurement ◽  
Measuring System ◽  
Measurement Equipment ◽  
Measuring Systems ◽  
Ring Lasers ◽  
Angle Measuring ◽  
Complicated Task

This presentation deals with a new application of mechatronic means for angle measuring system; it can be applied in precision instrumentation and measurement equipment. Precise angle measuring is based on usage of angle measurement standards such as polygons, precision indexing tables and circular scales. Ring lasers and precision rotary encoders can also be used for this purpose as well as test benches created for angle calibration. Many angular and linear measurement transducers or encoders are used in industry and machine engineering for the position and displacement measurement. The accuracy of angular position fixed by means of these devices reach approximately 0.3" 0.1" (arc second). Control of their accuracy parameters is complicated task consisting from some high requirements needed for rotation, positioning, signal processing, object adjustment and data processing.

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