Research of Riveting Structure Identification and Characteristic Parameter Analysis Based on SVM

2014 ◽  
Vol 1049-1050 ◽  
pp. 1554-1557
Author(s):  
Jian Feng Yang ◽  
Gang Jiang ◽  
Jian Fei Chen
Keyword(s):  
Mathematical Model ◽  
Image Processing ◽  
Research Result ◽  
Characteristic Parameter ◽  
Parameter Analysis ◽  
Structure Identification ◽  
Support Vector ◽  
Vector Machines ◽  
Set Up ◽  
The Mathematical Model

In order to help department to make a decision whether the equipment need maintenance, some people trained the sample of characteristic parameter for riveting structure, and set up the model to recognize target by computer vision. However, we are difficult to find the research result about the affiliation between the characteristic parameter of the riveting structure and the model. In this paper, we make the image processing first, and use SVM (Support Vector Machines) algorithm to train the sample of characteristic parameter for rivet head. Finally, we research the affiliation between the characteristic parameter for the rivet head and the mathematical model, and test the accuracy of the model.

Research on Coordinated Control System of Unit Considering Regenerator System Based on Bilinear Fit

2012 ◽  
Vol 424-425 ◽  
pp. 1179-1186
Author(s):  
Ze Lei Zhu ◽  
Zhong Xu Han ◽  
Li Jie Chen
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Research Result ◽  
Research Work ◽  
Coordinated Control ◽  
Energy Separation ◽  
Generator Unit ◽  
Regenerator System ◽  
Set Up ◽  
The Mathematical Model

The validity of mathematical model direct impact the research result of the boiler-turbine coordinated control system. In this paper, applying the mechanical modeling method to set up model of boiler-turbine coordinated control system, and obtain its parameter by parameter identification. The mathematical model of boiler-turbine coordinated system has been modified and supplied by bilinear fit. And, for the practical problems that need to be resolved in research work of the coordination controlled object’s mathematical model, the mathematical analysis was carried out by the regenerator system integrated into heat balance of generator unit and a new type of simulation mathematical model of coordinated control system with regenerator system was researched. The mathematical model was verified through the simulation test. Based on the thought that dynamic energy and static energy separation, the of intelligent controller is structured and applied in coordination control system of generator unit. Simulation results show that not only load response and anti-interference ability are improved, but also dynamic overshoot greatly reduces

Prediction of Porosity of Porous NiTi Alloy from Processing Parameters Based on SVR

2011 ◽  
Vol 393-395 ◽  
pp. 231-235
Author(s):  
Qi Sheng Yan
Keyword(s):  
Mathematical Model ◽  
Niti Alloy ◽  
Processing Parameters ◽  
Support Vector ◽  
Porous Niti ◽  
Vector Machines ◽  
Leave One Out ◽  
Bp Neural Network Model ◽  
The Mathematical Model ◽  
Better Than

The regression principle of support vector machines (SVM) based on the statistic learning theory is introduced and mathematical model combined with grid search and Leave-one-out cross validation (LOOCV) which is used to predict the porosity of porous NiTi alloy from processing parameters is established by support vector regression technology. In this model, temperature, particle size and green density are as input parameters and porosity of reacted products is as output paramater. The results show that the relative maximum predicting error is 0.1% under the condition of using a small quantity of samples to build the mathematical model, and the predicting precision of SVR model is obviously better than that of BP neural network model. It is suggested that SVR is an effective and powerful tool for predicting porosity of porous NiTi alloy.

Simulation of Ship Manoeuvring in the Proximity of a Pier by Using Support Vector Machines

2011 ◽  
Author(s):  
Wei-lin Luo ◽  
Zao-jian Zou ◽  
Hong-liang Xiang
Keyword(s):  
Mathematical Model ◽  
Support Vector Machines ◽  
Support Vector ◽  
Test Results ◽  
Interaction Coefficients ◽  
Ship Manoeuvring ◽  
Vector Machines ◽  
Close Relationship ◽  
The Mathematical Model ◽  
Navigation Safety

Ship manoeuvrability has a close relationship with navigation safety. For a ship sailing in the proximity of a pier, its manoeuvrability is different from that in unrestricted waters. To predict the ship manoeuvrability in the proximity of a pier, the method of simulation based on mathematical model is used. The mathematical model of ship manoeuvring is obtained by using Support Vector Machines (SVM) based system identification, combined with free-running model tests. The interaction between the pier and the ship are considered in the mathematical model of ship manoeuvring motion. By analyzing the test results, SVM is applied to identify the hydrodynamic coefficients and the interaction coefficients in the mathematical model. By using the regressive models, the ship manoeuvring motions in the proximity of a pier are predicted. Comparisons between the predicted results and the test results demonstrate the validity of the proposed SVM method. Identification results, model test results as well, also confirm that navigation safety of the ship in the proximity of a pier can be guaranteed if the distance between the pier and the ship is under control.

Research on Dynamic Balance Method of Precision Centrifuge

2014 ◽  
Vol 945-949 ◽  
pp. 777-780
Author(s):  
Tao Liu ◽  
Yong Xu ◽  
Bo Yuan Mao
Keyword(s):  
Mathematical Model ◽  
Balance Control ◽  
Dynamic Balance ◽  
Dynamic Balancing ◽  
Structure Characteristics ◽  
Balance System ◽  
Simulation Results ◽  
Set Up ◽  
System Controller ◽  
The Mathematical Model

Firstly, according to the structure characteristics of precision centrifuge, the mathematical model of its dynamic balancing system was set up, and the dynamic balancing scheme of double test surfaces, double emendation surfaces were established. Then the dynamic balance system controller of precision centrifuge was designed. Simulation results show that the controller designed can completely meet the requirements of precision centrifuge dynamic balance control system.

Theoretical and Experimental Study of the Dynamics of the Tripod-Ball Sliding Joint With Clearance

2001 ◽  
Author(s):  
Jia Xiaohong ◽  
Ji Linhong ◽  
Jin Dewen ◽  
Zhang Jichuan
Keyword(s):  
Mathematical Model ◽  
Equations Of Motion ◽  
Experimental Studies ◽  
Active System ◽  
New Concepts ◽  
Sliding Joint ◽  
New Type ◽  
Set Up ◽  
The Mathematical Model ◽  
Kane Method

Abstract Clearance is inevitable in the kinematic joints of mechanisms. In this paper the dynamic behavior of a crank-slider mechanism with clearance in its tripod-ball sliding joint is investigated theoretically and experimentally. The mathematical model of this new-type joint is established, and the new concepts of basal system and active system are put forward. Based on the mode-change criterion established in this paper, the consistent equations of motion in full-scale are derived by using Kane method. The experimental rig was set up to measure the effects of the clearance on the dynamic response. Corresponding experimental studies verify the theoretical results satisfactorily. In addition, due to the nonlinear elements in the improved mathematical model of the joint with clearance, the chaotic responses are found in numerical simulation.

Technique for Magnetic Bearing Based on Mixed-Kernel Support Vector Machine Forecasting Model

2014 ◽  
Vol 529 ◽  
pp. 349-353 ◽  
Author(s):  
Jie Jin ◽  
Huang Qiu Zhu
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Magnetic Bearing ◽  
The Self ◽  
Support Vector ◽  
Forecasting Model ◽  
Kernel Support Vector Machine ◽  
Vector Machines ◽  
Nonlinear Forecasting ◽  
The Cost

The self-sensing magnetic bearing can reduce the cost and the axial size of the magnetic bearing and increase its reliability. A mixed-kernel least squares support vector machines (LS-SVM) forecasting model is proposed for self-sensing technique of a hybrid magnetic bearing. The structure and mathematical model of the radial-axial hybrid magnetic bearing are introduced. Based on the principle of the mixed-kernel LS-SVM, the nonlinear forecasting model between the current and the displacement which realizes the displacement self-sensing control is built through genetic algorithm. Simulation has done to verify the validity and feasibility of proposed method.

scholarly journals MAC-Aware and Power-Aware Image Aggregation Scheme in Wireless Visual Sensor Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Yui-Liang Chen ◽  
Hong-Hsu Yen
Keyword(s):  
Mathematical Model ◽  
Image Processing ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Image Transmission ◽  
Visual Sensor ◽  
Transmission Image ◽  
Scalar Data ◽  
Aggregation Scheme ◽  
The Mathematical Model

Traditional wireless sensor networks (WSNs) transmit the scalar data (e.g., temperature and irradiation) to the sink node. A new wireless visual sensor network (WVSN) that can transmit images data is a more promising solution than the WSN on sensing, detecting, and monitoring the environment to enhance awareness of the cyber, physical, and social contexts of our daily activities. However, the size of image data is much bigger than the scalar data that makes image transmission a challenging issue in battery-limited WVSN. In this paper, we study the energy efficient image aggregation scheme in WVSN. Image aggregation is a possible way to eliminate the redundant portions of the image captured by different data source nodes. Hence, transmission power could be reduced via the image aggregation scheme. However, image aggregation requires image processing that incurs node processing power. Besides the additional energy consumption from node processing, there is another MAC-aware retransmission energy loss from image aggregation. In this paper, we first propose the mathematical model to capture these three factors (image transmission, image processing, and MAC retransmission) in WVSN. Numerical results based on the mathematical model and real WVSN sensor node (i.e., Meerkats node) are performed to optimize the energy consumption tradeoff between image transmission, image processing, and MAC retransmission.

Design of Deployment Mechanim of Steel Ball and Surface Defects Recognition

2013 ◽  
Vol 274 ◽  
pp. 245-248 ◽  
Author(s):  
Yan Ling Zhao ◽  
Wan Bo Che ◽  
Kai Zhou ◽  
Jia Ping Xuan
Keyword(s):  
Mathematical Model ◽  
Image Processing ◽  
Motion Analysis ◽  
Surface Defects ◽  
Steel Ball ◽  
Simulation Based ◽  
Ball Surface ◽  
Low Efficiency ◽  
The Mathematical Model ◽  
Ball Motion

At present, the steel ball surface defects are usually detected by manual work, but it has low efficiency and low reliability. For the current situation, in this paper, we design the steel ball deployment mechanism based on image processing technology, establish the mathematical model of the shooting point trajectory and determine the amount and location of the shooting points by the steel ball motion analysis. By the simulation based on Mathematica and Java, verify the effectiveness of the steel ball deployment mechanism in steel ball unfolding and defects recognition. Thus, the steel ball surface can be completely detected.

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