Conductor Galloping Prediction Method Based on MEMs 3D Dynamic Displacement Sensors

2014 ◽  
Vol 667 ◽  
pp. 328-333 ◽  
Author(s):  
Zi Guan Zhou ◽  
Wen Jing Li ◽  
Qing Wu ◽  
Yun Di Wang ◽  
Zhu Liu ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Calculated Data ◽  
Prediction Method ◽  
Maintenance Management ◽  
Wireless Sensor ◽  
Displacement Sensor ◽  
Dynamic Displacement ◽  
Displacement Sensors ◽  
Operation And Maintenance ◽  
Measured Information

Existed conductor galloping can only analyze the real-time state. There is no effective method to predict the conductor galloping state and alarm if necessary in the future. In order to solve the above problems, a new conductor galloping method based on the MEMs 3Ddynamic displacement sensing network has been proposed and realized. The MEMs dynamic displacement sensor is used to sense the distributed galloping information. The low-power wireless sensor network is deployed to transmit data back to the host quickly and realize the centralized treatment. The three-degree freedom model is built to analyze multi-dimensional displacement in the horizontal, vertical and torsional directions. Finally, the conductor galloping is predicted and early alarmed by using measured information sensed by sensors, the calculated data by mathematical model and some key parameters of future weather. The method proposed in this paper has been validated in practice. The predicted trajectory after 2 hours and the actual conductor galloping trajectory are basically identical. The deviation is less than 0.03 meters. This method realizes conductor galloping prediction. It strongly supports the operation and maintenance management of the transmission Line.

scholarly journals The development of stamp points displacement mathematical model by static tests of road structures

2021 ◽  
pp. 35-43
Author(s):  
Ivan Shuliak ◽  
◽  
Serhii Sukhonosov ◽  
Oleksand Chechuha ◽  
◽  
...  
Keyword(s):  
Mathematical Model ◽  
Displacement Sensor ◽  
Engineering Practice ◽  
Static Tests ◽  
Static Testing ◽  
Displacement Sensors ◽  
Modulus Of Deformation ◽  
Parallel Transfer ◽  
The Moment ◽  
Necessary And Sufficient

In various static stamp tests methods, both foreign and Ukrainian, it is foreseen to use a different number of sensors for stamp settlement measuring. Austrian method with three displacement sensors allows to reveal the stamp warping while loading, but it is unclear how to determine the settlement in the stamp center, when the sensor readings at the moment of warping will be completely different. The German method with a single displacement sensor is much simpler, but does not consider the stamp warping. The use of Ukrainian methodology is not appropriate at all, because two displacement sensors do not allow to observe the stamp warping. The article is focused on mathematical model for the displacement of stamp points in road structures static testing development with theoretical justification of necessary and sufficient number of sensors for stamp settlement measuring. Initially, the stamp displacement under warping in a flat deformed condition is considered as a rotation on a certain angle α and a parallel transfer. It has been established that in this case, the stamp settlement with enough accuracy for engineering practice can be measured with a single displacement sensor installed in the stamp center. In fact, the stamp can rotate not only around the axis Oy, but also around the Ox axis. Therefore, a separate mathematical model is constructed and describes the process of stamp displacement while it’s warping in a volumetric deformed condition. The developed mathematical model provides an opportunity to determine the settlement in the stamp center, necessary for the modulus of elasticity calculation or modulus of deformation in the case when the stamp at the warping moment will rotate both around the axis Oy and around the Ox axis, and the rotation angles α and β will be significant.

Optimizing laser triangulation displacement sensor of 3D positioning and posture using COA Based BPNN

Sensor Review ◽  
2020 ◽  
Vol 40 (1) ◽  
pp. 112-120
Author(s):  
Yassine Selami ◽  
Na Lv ◽  
Wei Tao ◽  
Hongwei Yang ◽  
Hui Zhao
Keyword(s):  
Mathematical Model ◽  
Measuring System ◽  
Displacement Sensor ◽  
Laser Triangulation ◽  
Content Type ◽  
Depth Measurement ◽  
Displacement Sensors ◽  
Wide Range ◽  
3D Positioning ◽  
The Mathematical Model

Purpose The purpose of this paper is to propose cuckoo optimization algorithm (COA)-based back propagation neural network (BPNN) to reduce the effect of the nonlinearities presented in laser triangulation displacement sensors. The 3D positioning and posture sensor allows access to the third dimension through depth measurement; the performance of the sensor varies according to the level of nonlinearities presented in the system, which leads to inaccuracies in measurement. Design/methodology/approach While applying optimization approach, the mathematical model and the relationship between the key parameters in the laser triangulation ranging and the indexes of the measuring system were analyzed. Findings Based on the performance of the parametric optimization method, the measurement repeatability reached 0.5 µm with an STD value within 0.17 µm, an expanded uncertainty of measurement was within 5 µm, the angle error variation of the object’s rotational plane was within 0.031 degrees and nonlinearity was recorded within 0.006 per cent in a full scale. The proposed approach reduced the effect of the nonlinearity presented in the sensor. Thus, the accuracy and speed of the sensor were greatly increased. The specifications of the optimized sensor meet the requirements for high-accuracy devices and allow wide range of industrial application. Originality/value In this paper, COA-based BPNN is proposed for laser triangulation displacement sensor optimization, on the basis of the mathematical model, clarifying the working space and working angle on the measurement system.

The Design of Operation and Maintenance Management System about IT Platform Based on Tivoli

2014 ◽  
Vol 599-601 ◽  
pp. 2215-2219 ◽  
Author(s):  
Fen Su Shi ◽  
Yang Zhou ◽  
Pan Shi
Keyword(s):  
Management System ◽  
Process Management ◽  
Maintenance Management ◽  
It Infrastructure ◽  
Event Management ◽  
Management Platform ◽  
Operation And Maintenance ◽  
Passive Response ◽  
Maintenance Work ◽  
Storage Networks

At present, many domestic industries don’t have perfect operation and maintenance management systems for their IT platform. Most of the daily maintenance work is passive response after the problem occurred rather than discovery in advance, which will bring the potential risks to IT system running smoothly. Therefore it is necessary to monitor and manage the existing IT core equipment, to improve the security and stability of the core production and enhance the satisfaction of business department. In addition, through the establishment of an association between centralized monitoring and process management platform, the system standardizes the operational work, and improves work efficiency.Maintenance management system based on Tivoli[1] is mainly to complete the monitoring and management of the IT infrastructure, used in finance, electric power, chemical and other industries, which includes room infrastructure, storage, networks, systems, databases and middleware. On one hand, the system centralizes event management platform integrates events from various aspects of the IT infrastructure, takes a rich deal and then provides intuitive monitoring for operational management. Moreover it integrates process management platform so as to complete creating work orders, processing and other operations. On the other hand, the system will integrate the monitoring results of existing business into the monitoring interface, and implements IT knowledge sharing.

scholarly journals High-Accuracy Calibration Based on Linearity Adjustment for Eddy Current Displacement Sensor

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2842 ◽  
Author(s):  
Wei Liu ◽  
Bing Liang ◽  
Zhenyuan Jia ◽  
Di Feng ◽  
Xintong Jiang ◽  
...  
Keyword(s):  
Eddy Current ◽  
Measurement Accuracy ◽  
Characteristic Curve ◽  
Calibration Method ◽  
High Accuracy ◽  
Output Characteristic ◽  
Displacement Sensor ◽  
Support Vector ◽  
Displacement Sensors ◽  
Calibration Accuracy

High precision position control is essential in the process of parts manufacturing and assembling, where eddy current displacement sensors (ECDSs) are widely used owing to the advantages of non-contact sensing, compact volume, and resistance to harsh conditions. To solve the nonlinear characteristics of the sensors, a high-accuracy calibration method based on linearity adjustment is proposed for ECDSs in this paper, which markedly improves the calibration accuracy and then the measurement accuracy. After matching the displacement value and the output voltage of the sensors, firstly, the sensitivity is adjusted according to the specified output range. Then, the weighted support vector adjustment models with the optimal weight of the zero-scale, mid-scale and full-scale are established respectively to cyclically adjust the linearity of the output characteristic curve. Finally, the final linearity adjustment model is obtained, and both the calibration accuracy and precision are verified by the established calibration system. Experimental results show that the linearity of the output characteristic curve of ECDS adjusted by the calibration method reaches over 99.9%, increasing by 1.9–5.0% more than the one of the original. In addition, the measurement accuracy improves from 11–25 μ m to 1–10 μ m in the range of 6mm, which provides a reliable guarantee for high accuracy displacement measurement.

scholarly journals A SIMULATION MODEL FOR ROBOT’S SLIP DISPLACEMENT SENSORS

2016 ◽  
pp. 224-236 ◽  
Author(s):  
Yuriy Kondratenko ◽  
Oleksandr Gerasin ◽  
Andriy Topalov
Keyword(s):  
Simulation Model ◽  
Field Programmable Gate Array ◽  
Hardware Implementation ◽  
Displacement Sensor ◽  
Clamping Force ◽  
Sensing System ◽  
Displacement Sensors ◽  
Field Programmable ◽  
Slip Displacement ◽  
Corrosive Environments

This paper deals with a simulation model of slip displacement sensors for the object slip signals’ registration in the adaptive robot’s gripper. The study presents the analysis of different methods for slip displacement signals detection, as well as authors’ solutions. Special attention is paid to the investigations of the developed sensor with the resistive registration element in rod type structure of sensitive elements, which is able to operate in harsh and corrosive environments. A sensing system for the object slip signals’ registration in the adaptive robot’s gripper with a clamping force correction is developed for proposed slip displacement sensor with multi-component resistive registration elements. The hardware implementation of the sensing system for slip signals’ registration and obtained results are considered in details. The simulation model of the proposed slip displacement sensor based on polytypic conductive rubber is modeled by Proteus software. The intelligent approaches with the use of a field programmable gate array (FPGA) and VHDL-model to the sensing system designing allow to define the slippage direction in slip displacement sensor based on resistive registration elements. Thus, this expands the functionality of the developed sensor.

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