Studies on developing the products of computer detection and control system combined with intelligent-fault-diagnosis

2002 ◽  
Author(s):  
Daohui Wang ◽  
Yimin Wang
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Intelligent Fault Diagnosis ◽  
And Control

Circuit Fault Diagnosis Interface Software Design

2011 ◽  
Vol 71-78 ◽  
pp. 651-654
Author(s):  
Tong Shun Fan ◽  
Yu Ping Wang ◽  
Li Ming Luo
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Software Design ◽  
Digital Circuit ◽  
Research Project ◽  
Diagnosis System ◽  
Interface Circuit ◽  
Fault Diagnosis System ◽  
Circuit Fault Diagnosis ◽  
And Control

On the basis of research on digital circuit fault diagnosis system for missile launch and control system – one research project recently completed by the author ,and through analysis for the first and foremost problem of interface circuit, this paper makes a detailed description of digital circuit fault diagnosis interface circuit software design based on LabWindows/CVI, and gives major steps of the development for interface circuit software.

scholarly journals Fault diagnosis of sensors in the control system of a steam turbine

2019 ◽  
Vol 1 (1) ◽  
pp. 29-36
Author(s):  
Mariusz Pawlak ◽  
Janusz Buchta ◽  
Andrzej Oziemski
Keyword(s):  
Neural Networks ◽  
Control System ◽  
Fault Diagnosis ◽  
Steam Turbine ◽  
Control Systems ◽  
Measurement Data ◽  
Fuzzy Neural Networks ◽  
Sensor Faults ◽  
Fuzzy Neural ◽  
And Control

A diagnostic and control system for a turbine is presented. The influence of the turbine controller on regulation processes in the power system is described. Measured quantities have been characterized and methods for detecting errors have been determined. The paper presents the application of fuzzy neural networks (fuzzy-NNs) for diagnosing sensor faults in the control systems of a steam turbine. The structure of the fuzzy-NN model and the model’s method of learning, based on measurement data, are presented. Fuzzy-NNs are used to detect faults procedures. The fuzzy-NN models are created and verified.

Study on Intelligent Fault Diagnosis of a Type of Ammunition’s Flight Control System Based on Fuzzy Theory

2010 ◽  
Vol 40-41 ◽  
pp. 903-908
Author(s):  
Jing Qing Xu ◽  
Xing Lin Qi ◽  
Liang Liang Ren ◽  
Liang Cui
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Flight Control ◽  
Fuzzy Theory ◽  
Function Parameter ◽  
Flight Control System ◽  
Intelligent Fault Diagnosis ◽  
Practical Situation ◽  
Diagnosis Method ◽  
Fuzzy Diagnosis

Fault symptom of a type of ammunition’s flight control system shows fuzzy, and there is no intelligent fault diagnosis method for this control system fault diagnosis. This paper studies on intelligent fault diagnosis of terminally guide projectile based on fuzzy theory. The procedure of fuzzy fault diagnosis is shown. Combining with the practical situation of a type of ammunition’s flight control system and a large quantity of expert’ experience knowledge, the fuzzy diagnosis model is established. After given fuzzy diagnosis matrix, fault diagnosis of a type of ammunition’s flight control system was done as example. It practicability and credibility is shown by fault diagnosis result, and application of fuzzy theory in diagnosing the fault of a type of ammunition’s flight control system is proved valid. Two piece of proposal is proposed after analyzing the function parameter changing of this control system stored in storehouse longtime.

The Design of Welding Control System for Intersection of T-Tube's Seam Welding Based on the Multi-Axis

2012 ◽  
Vol 503-504 ◽  
pp. 1584-1588
Author(s):  
Hong Sheng Liu ◽  
Jian Ping Zhou ◽  
Yan Xu
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Control Program ◽  
Current Status ◽  
Welding Parameters ◽  
System Management ◽  
Seam Welding ◽  
Control Functions ◽  
Pipe Welding ◽  
And Control

To improve the quality and efficiency of T-shaped pipe welding, a double-gun welding CNC is designed based on Multi-axis Control. The control program using Delphi software can accomplish system management and control functions. This system could display current status of each axis in real-time, complete automatic fault diagnosis, modify the welding parameters and so on.

Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE
Keyword(s):  
Control System ◽  
Nonlinear Behavior ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Pid Controllers ◽  
Tuning Parameters ◽  
Pid Tuning ◽  
Fixed Set ◽  
And Control ◽  
Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

Еlectric Drive and Control System of Flying saw of electricweld item

2015 ◽  
Vol 19 (95) ◽  
pp. 50-53
Author(s):  
Aleksej A. Kravcov ◽  
◽  
Leonid G. Limonov ◽  
Valerij V. Sinelnikov ◽  
Stanislav V. Potapov
Keyword(s):  
Control System ◽  
Drive And Control ◽  
And Control
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