Expert Systems - A Tool for the Evaluation of the State of High-Voltage Machine Insulation

2005 ◽  
Author(s):  
K. Zalis
Keyword(s):  
Expert Systems ◽  
High Voltage ◽  
The State

scholarly journals The Examination of the laboratory anxiety, state and trait anxiety of university students in high voltage laboratory

2016 ◽  
Vol 13 (2) ◽  
pp. 3439
Author(s):  
İbrahim Güneş ◽  
Zeliha Özsoy Güneş
Keyword(s):  
Regression Analysis ◽  
Trait Anxiety ◽  
High Voltage ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
The State ◽  
Anxiety Scale ◽  
Anxiety State ◽  
Electronic Engineering ◽  
State And Trait Anxiety

With this study were aimed the investigation of the state and trait anxiety levels of Electric-Electronic Engineering students on High Voltage Laboratory anxiety. This research is designed as relational scanning model. The samples of the study comprised 113 students from Electric-Electronic Engineering in Engineering Faculty. In the study; “High Voltage Laboratory Anxiety Scale” with three factors which was developed by Güneş and Özsoy-Güneş (2015) and “The State and Trait Anxiety Scale” was developed by Spielberger and his colleagues (1970), adapted to Turkish by Öner and Le Compte (1985) are used as tool of data collection. In order to analyze the data, SPSS 20.00, Pearson correlation coefficient techniques and regression analysis techniques are used. At the end of the study, between all scales has a positive relation. Multiple linear regression analysis showed that the trait anxiety and laboratory anxiety of students has been found to be effective on the state anxiety of students.

scholarly journals Methodological basis for measuring expert systems automation of motor and tractor Engines

2020 ◽  
Vol 50 (4) ◽  
pp. 80-92
Author(s):  
V. V. Alt ◽  
I. P. Dobrolyubov ◽  
O. F. Savchenko ◽  
D. N. Klimenko ◽  
O. V. Elkin
Keyword(s):  
Expert Systems ◽  
Computer Modeling ◽  
Internal Combustion Engines ◽  
Methodological Approach ◽  
Internal Combustion ◽  
The State ◽  
Automation System ◽  
Methodological Basis ◽  
Energy Parameters ◽  
Production Conditions

The paper considers issues of increasing the efficiency of application of measuring expert systems (MES) that solve the problem of reducing power losses of motor and tractor internal combustion engines (ICE) in production conditions due to changes in their technical condition. MES carry out operational control of the energy parameters of the machine and tractor fleet for taking timely repair and maintenance actions. A methodological approach is proposed for creating an automation system for the development of MES, which increases the efficiency of the formation of MES due to the existing expertise in this subject area. The methodological basis of research is a dynamic method for diagnosing ICE. This method uses a test dynamic effect on ICE, which is the most practical for assessing the state of tractor ICE in production conditions, as well as computer modeling of the ICE work processes in order to find informative diagnostic indicators characterizing energy parameters. On the basis of the proposed target function, the software was determined in the form of the model describing a variety of system elements, their features and states, as well as links between them. Information provision was organized, carrying out the functions of collecting, processing and providing information upon request. A method for constructing a logical scheme of the development algorithm MES was formed, which formalizes the process of solving interrelated problems in the synthesis of various structures of hardware and software based on a set of mathematical models. On the example of modeling an ICE unit – a working machine, the effect of varying the input parameters of the model was estimated: torque effects and resistance moments on the diagnostic parameters of the technical state – angular velocities and accelerations. The use of computer modeling of ICE working processes using this methodological approach made it possible to create a digital technology and a measuring system for automated energy monitoring of the tractor fleet of an agricultural enterprise. The computer structural diagrams of ICE and MES models can be used in diagnostic complexes. This will make it possible to increase the accuracy and reliability of determining the state of the internal combustion engine and the mechanisms and working machines aggregated with it, as well as improve the quality of the work they perform.

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