Fiber Testing System Research Articles

Study on noise characteristics of 500kV oil-immersed transformer under no-load voltage condition

With the expansion of urban construction scale, substation noise has attracted more and more attention. Noise characteristics and propagation of the oil-immersed transformers are made important theoretical basis of vibration and noise reduction measures. Based on the 500kV oil-immersed transformer, the noise test of transformer structures had been completed. An advanced optical fiber testing system is adopted in the test, which solves the problem of accuracy and reliability in high electromagnetic field and solid-liquid coupling environment. Time domain analysis and frequency analysis for the test data were carried out. By test and analysis, noise characteristics are obtained by the large power transformers. The frequency spectrum of noise and winding vibration in transformer insulation oil is mainly 100Hz and frequency doubling. With the increase of load, the noise presents obvious nonlinear change process.

Design Artificial Intelligence Fiber Testing System Aided by Computer

With the progress and development of society, in people’s wardrobes, textile clothing belongs to a category of clothing that is used in people’s daily life, and textiles for household goods also occupy most of the market. And with the increasing diversification of textile raw materials, it is more and more important to strengthen the detection of fiber content in textiles. There are many methods for determining fiber content in textiles. In fact, in the fiber inspection process, the high-speed camera can not recognize the image of the fiber surface. Computer-aided image processing and deep learning algorithms are used to realize computer-aided recognition through a series of inspection processes. Computer-aided technology has strong interaction and high accuracy, while artificial intelligence fiber testing technology has great responsibility for product manufacturing. Product model and simulation have an impact on product manufacturing quality and work efficiency. The artificial intelligence fiber testing system and computer-aided technology must be combined to improve the quality of the fiber purchased or sold, so as to obtain higher income for enterprises and provide better services for people. How to use computer-aided technology to serve the design of artificial intelligence fiber testing system to improve the user experience of the system is the purpose of this thesis. This article will discuss the general situation of artificial intelligence fiber testing system, the analysis of computer-aided technology in artificial intelligence fiber testing system, and the application analysis of computer-aided technology in artificial intelligence fiber testing system.

Inconsistency measurement between two branches of LiNbO3 integrated optic Y-junction

We investigate the inconsistency of the polarization related performance between two branches of a packaged LiNbO3 integrated optic Y-junction. An optical path tracking method is proposed to simplify the description of polarization light transmission behavior in packaged Y-junction. By developing a simple but practical fiber test system based on white light interferometry, the interferograms representing different branches of Y-junction are detected and distinguished accurately. The inconsistencies of performance including not only conventional parameters such as polarization extinction ratio of LiNbO3 chip and crosstalk at the joint points between polarization-maintaining pigtails and chip, but also birefringence of LiNbO3 chip and power ratio of Y-junction are obtained with only one-time measurement. It is analyzed theoretically and verified experimentally for complete parameters of a packaged Y-junction. Besides, the static and dynamic measurement results reveal that performance inconsistency for both branches of Y-junction can be effectively evaluated with high accuracy. The inconsistency investigation is highly beneficial in real-time monitoring the inconsistency between two branches of Y-junction and to filtrate qualified Y-junctions.

Optical fiber management and testing system for PON enhanced with identification technologies using a mobile access terminal with a two-dimensional code scanner and fault isolation technologies using high spatial resolution OTDR

Feature Issue on Passive Optical Network Architectures and TechnologiesWe propose what we believe to be a newly developed optical fiber management and testing system with a view to reducing the operation, administration, and maintenance (OA&M) cost for PON. Identification technologies using a mobile access terminal with a two-dimensional code scanner, and fault isolation technologies using a high-spatial-resolution optical time-domain reflectometer (OTDR) enhance the functions for the registration, administration, and maintenance of PON infrastructure. We evaluated the construction and repair process using our prototype system. We confirmed that it is very easy to register and identify outside plant information. Moreover, we can automatically evaluate fiber lines without the need to involve a worker at the central office. These results show that this system can reduce the OA&M cost for PON.

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