scholarly journals Information with diagnostic technical object used to create experts’ knowledge base

2017 ◽  
Vol 66 (2) ◽  
pp. 91-106
Author(s):  
Radosław Duer ◽  
Stanisław Duer
Keyword(s):  
Diagnostic System ◽  
Knowledge Bases ◽  
Diagnostic Information ◽  
Diagnostic Model ◽  
Technical Diagnostics ◽  
Wind Power Plant ◽  
Technical Object ◽  
Pro Bono ◽  
Definition Of ◽  
Functional Diagnostic

The article presents the problem of determining diagnostic information for the purpose of testing a complex technical object. To this end, the essence of the development of the functional-diagnostic model was presented and described on the example of the wind power plant. Based on the developed model of the object, diagnostic information has been determined, which consists of two components: a set of basic elements and a set of diagnostic signals, which are worked out by the designated elements in the functional groups of the object. An important aspect in this paper is the shift in the pro bono definition of a set of diagnostic signals. Knowledge of the set of diagnostic signals and their nominal (master) signals is the basis for determining the range of changes in diagnostic signals that are the basis for the diagnosis of an object using the intelligent diagnostic system (DIAG 2) or using knowledge bases for expert systems. Keywords: technical diagnostics, diagnostic reasoning, multivalent logic, artificial intelligence

scholarly journals Knowledge base of wind farm devices in the computer expert system

2018 ◽  
Vol 67 (2) ◽  
pp. 179-190
Author(s):  
Radosław Duer ◽  
Paweł Wrzesień ◽  
Stanisław Duer ◽  
Dariusz Bernatowicz
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Knowledge Base ◽  
Wind Farm ◽  
Diagnostic Information ◽  
Diagnostic Model ◽  
Technical Diagnostics ◽  
Wind Power Plant ◽  
Power Plant Equipment ◽  
Plant Equipment

The article presents the problems of determining diagnostic information for the needs of testing the state of wind farm equipment. To this end, the essence of developing a functional and diagnostic model on the example of wind power plant equipment has been presented and described. Based on the developed model of the examined object, diagnostic information was determined in the form of a set of basic elements and a set of diagnostic signals, which are developed by the designated j-elements in the i-functional units of the object. The article presents a description of the process of building a knowledge base for an expert system. Keywords: technical diagnostics, diagnostic reasoning, multivalent logic, artificial intelligence

scholarly journals Functional and diagnostic model of a hybrid power system using renewable energy sources

2020 ◽  
Vol 68 (4) ◽  
pp. 57-68
Author(s):  
Radosław Duer ◽  
Paweł Wrzesień ◽  
Stanisław Duer
Keyword(s):  
Power System ◽  
Renewable Energy Sources ◽  
Diagnostic Information ◽  
Energy Sources ◽  
Diagnostic Model ◽  
Technical Diagnostics ◽  
Structure Model ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Building Process

The article presents the issues of building a diagnostic knowledge base regarding a hybrid power system for the needs of the organization of the process of examining the condition of the object. The basis for obtaining diagnostic information about the devices of the hybrid power system is the functional and diagnostic analysis of the tested object. The effect of the building process is a functional and diagnostic structure model, designated sets of basic elements and measuring signals along with the assigned standard measured signals. Keywords: technical diagnostics, diagnostic reasoning, multivalent logic, artificial intelligence

scholarly journals Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network

2018 ◽  
Vol 178 ◽  
pp. 07003 ◽  
Author(s):  
Stanisław Duer ◽  
Serghei Scaticailov ◽  
Jacek Paś ◽  
Radosław Duer ◽  
Dariusz Bernatowicz
Keyword(s):  
Intelligent Systems ◽  
Diagnostic Information ◽  
Diagnostic Model ◽  
Technical Equipment ◽  
Diagnostic Analysis ◽  
Technical Object ◽  
Functional Elements ◽  
Operation Process ◽  
Short Time ◽  
Theoretical Results

This paper presents a method to control an operation process of a complex technical object, with the use of trivalent diagnostic information. Also, a general diagram of the complex technical object was presented, and its internal structure was described. A diagnostic analysis was conducted, as a result of which sets of the functional elements of the object and its diagnostic signals were determined. Also, the methodology of the diagnostic examination of the technical system was presented. The result was a functional and diagnostic model, which constituted the basis for initial diagnostic information, which is provided by the sets of information concerning the elements of the basic modules and their output signals. The theoretical results obtained in the present study were verified in practice on the example of a complex and reparable technical object. It belongs to the group of technical equipment for which a short time of shutdowns is required (an ineffective use of the object).

scholarly journals Knowledge base for wind farm devices in the computer expert system

2020 ◽  
Vol 68 (4) ◽  
pp. 107-118
Author(s):  
Radosław Duer ◽  
Stanisław Duer ◽  
Lech Drawski
Keyword(s):  
Artificial Intelligence ◽  
Renewable Energy ◽  
Expert System ◽  
Knowledge Base ◽  
Wind Farm ◽  
Expert Knowledge ◽  
Diagnostic Information ◽  
Diagnostic Model ◽  
Technical Diagnostics ◽  
Model Based

The article presents the issue of determining diagnostic information for the needs of testing the condition of wind farm equipment. To this end, the essence of the structure of an intelligent expert system was presented and described. The structure of the tested object is shown in the form of a functional and diagnostic model. Based on the developed model of the examined object, diagnostic information was determined in the form of a set of basic elements and a set of diagnostic signals, which are later used in the construction of an expert knowledge base. The expert knowledge base is determined by sets of facts and rules applied. An important part of this article is description of the structure of the expert system and the expert knowledge base used in it. Keywords: wind farm, renewable energy, technical diagnostics, diagnostic inference, artificial intelligence

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 Examination of informativeness of diagnoses expressed with multiple-valued logic

2018 ◽  
Vol 67 (2) ◽  
pp. 169-178
Author(s):  
Stanisław Duer ◽  
Dariusz Bernatowicz ◽  
Paweł Wrzesień ◽  
Radosław Duer
Keyword(s):  
Artificial Intelligence ◽  
Wind Turbine ◽  
Diagnostic Test ◽  
Diagnostic System ◽  
Diagnostic Information ◽  
Technical Diagnostics ◽  
State Table ◽  
Object State ◽  
Multiple Valued Logic ◽  
Turbine Equipment

This paper presents the essence of an examination of informativeness in the diagnostic information outputs expressed with multiple-valued logic. The diagnostic test required for the examination was completed on wind turbine equipment. The examination included a constant set of determined diagnostic output values. The DIAG 2 diagnostic system was used for the examination and the diagnostic test. DIAG 2 is a smart diagnostic system capable of any inference k of the set {k = 2, 3, 4}. The examination results were expressed in an Object State Table, separately for each k-valued logic of inference tested. Keywords: technical diagnostics, diagnostic inference, multiple-valued logic, artificial intelligence

scholarly journals Diagnosing of a complex technical object in four-valued logic

2018 ◽  
Vol 67 (1) ◽  
pp. 33-42
Author(s):  
Stanisław Duer ◽  
Dariusz Bernatowicz ◽  
Paweł Wrzesień ◽  
Radosław Duer
Keyword(s):  
Artificial Intelligence ◽  
Diagnostic System ◽  
Technical Diagnostics ◽  
Technical Object ◽  
Multiple Valued Logic ◽  
Logic Testing ◽  
Signal Features ◽  
Turbine Equipment ◽  
Theoretical Foundations

This paper presents the essence of an investigation of a complex technical object with the use of four-valued logic. To this end, an intelligent diagnostic system (DIAG 2) is described. A special feature of this system was its capability of inferring k at {k = 4, 3, 2}, in which case the logic {k = 4} is applied. An important part of this work was to present the theoretical foundations describing the essence of inference in the four-valued logic contemplated. It was also pointed out that the basis for classification of states in the multiple-valued logic of the diagnostic system (DIAG 2) was the permissible interval of changes in the values of diagnostic signal features. Four-valued logic testing was applied to a system of wind turbine equipment. 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 On Designing an Expert Diagnostic System of the Aircraft Turbine Engine Functional Units

2020 ◽  
Vol 50 (1) ◽  
pp. 171-192
Author(s):  
Henryk Borowczyk ◽  
Jarosław Spychała
Keyword(s):  
Dynamic Models ◽  
Diagnostic System ◽  
Compact Representation ◽  
Diagnostic Model ◽  
Diagnostic Systems ◽  
Turbine Engine ◽  
Flight Data ◽  
Diagnostic Parameters ◽  
Functional Units ◽  
The Relationship

AbstractThe paper presents issues related to the design of an expert diagnostic system of turbine engine functional units. Dedicated diagnostic stations and on-board flight data recorders are the sources of diagnostic signals. The signals were parameterized or identified dynamic models to get a compact representation in the form of a set of parameters. The set of diagnostic parameters was subjected to integer encoding. On this basis, a multi-valued diagnostic model describing the relationship between the set of faults and the set of symptoms (code values of diagnostic parameters) was determined. The proposed approach can be used in the design of expert diagnostic systems for propulsion units of any aircraft.

Sign in / Sign up

Export Citation Format

Share Document