scholarly journals Diagnostics of low-capacity solar power station equipment with 2- and 3-valued logic

2018 ◽  
Vol 67 (3) ◽  
pp. 185-195
Author(s):  
Stanisław Duer ◽  
Paweł Wrzesień ◽  
Radosław Duer ◽  
Dariusz Bernatowicz
Keyword(s):  
Low Power ◽  
Solar Power ◽  
Diagnostic System ◽  
Diagnostic Model ◽  
Technical Diagnostics ◽  
Power Station ◽  
Research Issues ◽  
Multiple Valued Logic ◽  
Differential Distance ◽  
Solar Power Station

The paper outlines research issues relating to 2- and 3-valued logic diagnoses developed with the diagnostic system (DIA G 2) for the equipment installed at a low-capacity solar power station. The presentation is facilitated with an overview and technical description of the functional and diagnostic model of the low-power solar power station. A model of the low-power solar power station (the tested facility, a.k.a. the test object) was developed, from which a set of basic elements and a set of diagnostic outputs were determined and developed by the number of functional elements j of j. The work also provides a short description of the smart diagnostic system (DIA G 2) used for the tests shown herein. (DIA G 2) is a proprietary work. The diagnostic program of (DIA G 2) operates by comparing a set of actual diagnostic output vectors to their master vectors. The output of the comparison are elementary divergence metrics of the diagnostic output vectors determined by a neural network. The elementary divergence metrics include differential distance metrics which serve as the inputs for (DIA G 2) to deduct the state (condition) of the basic elements of the tested facility. Keywords: technical diagnostics, diagnostic inference, multiple-valued logic, artificial intelligence.

scholarly journals Diagnostic testing the solar power equipment in logic 2- and 3- valuable

2017 ◽  
Vol 66 (1) ◽  
pp. 67-79
Author(s):  
Radosław Duer ◽  
Stanisław Duer
Keyword(s):  
Solar Power ◽  
Diagnostic Testing ◽  
Diagnostic System ◽  
Diagnostic Model ◽  
Technical Diagnostics ◽  
Object A ◽  
The Neural Network ◽  
Functional Object ◽  
Differential Distance ◽  
Diagnostic Software

The article presents the problem of the study of developed diagnoses in logic2- and 3-valuable diagnostic system (DIAG 2) devices of the solar power. For this purpose, a functional-diagnostic model of solar power devices has been described. On the basis of the elaborated model of the investigated object, a set of basic elements and a set of diagnostic signals, that are generated by the j-th elements of the functional object, have been determined. Also, there was given a brief description of intelligent diagnostic (DIAG 2) system used for the study. The system (DIAG 2) is a proprietary development of the authors. Diagnostic software in (DIAG 2) system works on the principle of comparison of the set of vectors of diagnostic signals with their standard vectors. By comparing the signals, elementary metrics of vectors disparity of diagnostic signals are determined by the neural network. On the basis of the metrics of differential distance, the system inferences about the diagnosis on the state of elements of a basic object. Keywords: technical diagnostics, diagnostic reasoning, multivalent logic, artificial intelligence

scholarly journals Effect of operational condition of rotational subsystem on attitude control for space solar power station

2021 ◽  
Vol 34 (5) ◽  
pp. 289-297
Author(s):  
Xiangfei JI ◽  
Baoyan DUAN ◽  
Yiqun ZHANG ◽  
Guanheng FAN ◽  
Meng LI ◽  
...  
Keyword(s):  
Attitude Control ◽  
Solar Power ◽  
Power Station ◽  
Space Solar Power ◽  
Solar Power Station

scholarly journals Efficient Choice of a Multilevel Inverter for Integration on a Hybrid Wind-Solar Power Station

2015 ◽  
Vol 03 (09) ◽  
pp. 44-58 ◽  
Author(s):  
Tajeddine Khalili ◽  
Abdelhadi Raihani ◽  
Hassan Ouajji ◽  
Omar Bouattane ◽  
Fouad Amri
Keyword(s):  
Solar Power ◽  
Multilevel Inverter ◽  
Power Station ◽  
Solar Power Station

Sunlight Against Coal

2020 ◽  
Vol 144 ◽  
pp. 134-141
Author(s):  
Konstantin K. Il’kovskij ◽  
◽  
Daniil K. Il’kovskij ◽  
Keyword(s):  
Solar Energy ◽  
Coal Mine ◽  
Solar Power ◽  
Coal Industry ◽  
Power Station ◽  
Thermal Coal ◽  
Coal Power ◽  
Installed Capacity ◽  
Development Prospects ◽  
Solar Power Station

The article dwells on the topic of competition between coal and solar energy as types of fuel. The authors provide a comparison of the installed capacity of a virtual solar power station and an existing coal power station located within the land allotment of a coal mine. The development prospects of the coal industry in terms of thermal coal are shown.

Sign in / Sign up

Export Citation Format

Share Document