Research on Prognostic Method Based on SVR Optimized by Improved QPSO

2014 ◽  
Vol 513-517 ◽  
pp. 1653-1659
Author(s):  
Wan Ling Li ◽  
Xiang Jun Song ◽  
Yan Chen

Prognostic capability is a very important character for PHM distinguishing from other diagnosis systems, fault prognostic method based on SVR was researched on in this paper. In order to solve kernel function parameters, penalty coefficient and insensitivity loss coefficient of SVR, improved QPSO was put forward to train SVR in this paper. And then a certain power supply combination in beam control system of a certain control and guide radar was taken as an example to collect voltage signal and forecasted, and its precision was very perfect and could satisfy prognostic demand.

2013 ◽  
Vol 756-759 ◽  
pp. 4016-4020
Author(s):  
Wan Ling Li ◽  
Yan Hong Liu ◽  
Xiang Jun Song

Prognostic capability is a very important character for PHM distinguishing from other diagnosis systems, and fault prognostic method based on LS-SVM was researched on in this paper. In order to solve kernel function parameters, penalty coefficient and insensitivity loss coefficient of LS-SVM, improved QPSO was put forward to train LS-SVM in this paper. And then a certain power supply combination in beam control system of a certain control and guide radar was taken as an example to collect voltage signal and forecasted, and its precision was very perfect and could satisfy prognostic demand.


2006 ◽  
Vol 2 (3) ◽  
pp. 12-19
Author(s):  
G. G. Pivnyak ◽  

2014 ◽  
Vol 110 ◽  
pp. S52-S53 ◽  
Author(s):  
T. Kormoll ◽  
A. Duplicy ◽  
W. Enghardt ◽  
S. Helmbrecht ◽  
F. Hueso Gonzalez

2015 ◽  
Author(s):  
Yufang Yue ◽  
Xiaogang Xie ◽  
Jianzhu Zhang ◽  
Jianzhu An ◽  
Feizhou Zhang

2021 ◽  
pp. 9-15
Author(s):  
ALEKSEI S. DOROKHOV ◽  

Research on the development of an automatic control system for the rolling-in working units is aimed at establishing the reliability and analytical relationships, determining the quality indicators of work in real conditions of the rolling-in working units of a seeding machine, and checking the patterns obtained in the fi eld and identifi ed theoretically. Research on the development of an automatic control system for the rolling implements was carried out when sowing dragee seeds of table beet of the Bordeaux variety with a seeding unit consisting of a Belarus-4235 tractor and a Monopil S15/12 precision seeding machine. The system for automatic control of soil density includes the main hardware and software: actuators for maintaining and deepening the rolling working units, microcontrollers, motor drivers, a non-contact ultrasonic sensor, a power supply unit and a sensor for measuring soil density. The paper presents the results of a study to determine the soil density when sowing seeds of table beet, depending on the moisture content of the soil in the sowing layer. The authors describe research methodology, provide graphical relationships between changes in soil density and the depth of seeding, and comment on the main obtained statistical characteristics of the experiment. As a result of the study, structural, echnological and functional diagrams of a rolling rink with an automatic control system using electronically controlled electric cylinders (linear actuators) have been developed. The optimal parameters of the linear drive of the press roller have been established: power - 50W, power supply - 12V, rod stroke - 200…600 mm, speed - 10…45 mm/s, load - 200…900 N. Experimental studies have shown the applicability of the presented system of the automatic control of soil density, which ensures the optimum density of the seedbed of 1.3…1.4 g/cm³. The described technique can be used to develop a soil density control system when sowing seeds of other vegetable crops.


2012 ◽  
Vol 614-615 ◽  
pp. 1790-1795 ◽  
Author(s):  
Jia Hui Wang ◽  
Xiang Zhen Li ◽  
Rui Ting Lu ◽  
Feng Jie Sun

In order to solve the present situation that auxiliary facilities in substation separate from each other and unable to achieve intelligent interactive features, this paper presents the smart substation auxiliary control system based on the IoT (Internet of Things). The system monitors and controls the production auxiliary system of substation, and in the background using IEC61850 communication protocol to achieve the auxiliary production system internal and mutual coordination linkage and information remote transmission. The system integrates all the substation auxiliary facilities, including video monitoring subsystem, security subsystem, lighting subsystem, power supply subsystem and auxiliary system optimal control subsystem, providing smart substation of informatization, automation and interaction auxiliary support.


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