scholarly journals Analysis of Diagnostic Methods and Energy of Production Systems Drives

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 843
Author(s):  
Ivan Kuric ◽  
Ivana Klačková ◽  
Yury Rafailovich Nikitin ◽  
Ivan Zajačko ◽  
Miroslav Císar ◽  
...  
Keyword(s):  
Fuzzy Inference ◽  
Diagnostic System ◽  
Sensory Systems ◽  
Technical Condition ◽  
Repair Time ◽  
Diagnostic Methods ◽  
Technical Diagnostics ◽  
Inference System ◽  
Diagnostic Parameters ◽  
Industrial Enterprises

This article deals with solving the urgent scientific problem of the diagnostics of drives of technological robotized workplaces with support of sensors. The dependence of diagnostic parameters on the technical state of drives of automated technological systems, which is of great economic importance for industrial enterprises, is being investigated. Diagnostic models have been developed based on sensory systems to diagnose drive models of technological robotized workplaces. The use of these models may also include monitoring systems in which it is possible to build a system for identifying detected changes. These systems identify many contradictory changes and thereby reduce the false alarm frequency of monitoring sensory systems. Numerous methods for solving technical diagnostics problems are often based on methods based on mathematical models describing work processes, as well as on spectral analysis of measured parameters, such as vibrations, noise, and electric current. A fuzzy inference system for assessing the technical condition, a system for estimating the residual resource of drives, and asystem for calculating diagnostic intervals based on fuzzy knowledge have been developed. Based on the historical trend of the diagnostic parameters, the intelligent diagnostic system determines the current technical condition of the actuator and predicts future technical condition changes, determines the remaining service life and the time intervals for diagnostics. The analysis of the time spent on planned preventive maintenance of technological equipment makes it possible to conclude that, after the modernization of equipment in 2018, the repair time was reduced from 350 h to 260 h per year (26%). Since 2019, there is a tendency to increase repair time by 30 h each year.

Equipment State Assessment System Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

2015 ◽  
Vol 792 ◽  
pp. 243-247 ◽  
Author(s):  
Alexandra Khalyasmaa ◽  
Artem Aminev ◽  
Dmitry Bliznyuk
Keyword(s):  
Expert Systems ◽  
Fuzzy Inference ◽  
Technical Condition ◽  
Gas Analysis ◽  
Assessment System ◽  
Technical Diagnostics ◽  
Inference System ◽  
Power Stations ◽  
Neuro Fuzzy ◽  
Equipment State

The paper is dedicated to analyze the modern expert systems to assess the technical condition of power stations and substations high-voltage equipment. The main problems of modern expert systems and their possible solutions are determined. As the structure and their basic construction principles are considered. Also this paper proposes an algorithm for the expert system model using fuzzy inference on the basis of technical diagnostics and tests. As a case study of assessment of power transformers state based on dissolved gas analysis in the oil is presented.

Development of hydraulic cylinder diagnostic methods by modeling methods

2021 ◽  
pp. 41-45
Author(s):  
Keyword(s):  
Hydraulic Drive ◽  
Hydraulic Cylinder ◽  
Technical Condition ◽  
Diagnostic Methods ◽  
Technical Diagnostics ◽  
Remaining Service Life ◽  
Construction Machine ◽  
Piston Speed ◽  
Variable Nature ◽  
Hydraulic Cylinders

The hydraulic drive of a construction machine is a complex dynamic system that is subjected to many dynamic loads of a variable nature and operates under conditions of variable external influences caused by various factors. During operation, these loads cause failure of the hydraulic transmission elements. To prevent these malfunctions, technical diagnostics should be applied by determining their current technical condition and remaining service life. The article assesses the working condition of hydraulic cylinders using a mathematical model. Using matlab/simulink software to simulate the hydraulic cylinder and hydraulic piston speed when changing the hydraulic cylinder clearance. The simulation results are presented. Keywords: diagnostic, hydraulic cylinder, simulation, development

scholarly journals Logical–Linguistic Model of Diagnostics of Electric Drives with Sensors Support

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4429
Author(s):  
Yury Nikitin ◽  
Pavol Božek ◽  
Jozef Peterka
Keyword(s):  
Fuzzy Inference ◽  
Technical Condition ◽  
Numerical Control ◽  
Cnc Machine ◽  
Diagnostic Systems ◽  
Mechatronic Systems ◽  
Inference System ◽  
Electric Drives ◽  
Electrical Drives ◽  
Linguistic Model

The presented paper scientifically discusses the progressive diagnostics of electrical drives in robots with sensor support. The AI (artificial intelligence) model proposed by the authors contains the technical conditions of fuzzy inference rule descriptions for the identification of a robot drive’s technical condition and a source for the description of linguistic variables. The parameter of drive diagnostics for a robotized workplace that is proposed here is original and composed of the sum of vibration acceleration amplitudes ranging from a frequency of 6.3 Hz to 1250 Hz of a one-third-octave filter. Models of systems for the diagnostics of mechatronic objects in the robotized workplace are developed based on examples of CNC (Computer Numerical Control) machine diagnostics and mechatronic modules based on the fuzzy inference system, concluding with a solved example of the multi-criteria optimization of diagnostic systems. Algorithms for CNC machine diagnostics are implemented and intended only for research into precisely determined procedures for monitoring the lifetime of the mentioned mechatronic systems. Sensors for measuring the diagnostic parameters of CNC machines according to precisely determined measuring chains, together with schemes of hardware diagnostics for mechatronic systems are proposed.

scholarly journals Voltage Spectral Structure as a Parameter of System Technical Diagnostics of Ship Diesel Engine-Synchronous Generators

2015 ◽  
Vol 8 (1) ◽  
pp. 37-42 ◽  
Author(s):  
Aleksandrs Gasparjans ◽  
Aleksandrs Terebkovs ◽  
Anastasia Zhiravetska
Keyword(s):  
Diesel Engine ◽  
Spectral Power ◽  
Angular Acceleration ◽  
Piston Compressor ◽  
Technical Condition ◽  
Electric Machine ◽  
Technical Diagnostics ◽  
Spectral Structure ◽  
Diagnostic Parameters

Abstract A method of technical diagnostics of ship diesel engine – generator installation – is proposed. Spectral-power diagnostic parameters of the synchronous generator voltage and currents are used. The electric machine in this case is the multipurpose sensor of diagnostic parameters. A judgment on the quality of the operational processes in diesel engine cylinders and its technical condition is possible on the basis of these parameters. This method is applicable to piston compressor installations with electric drive. On the basis of such parameters as rotating torque, angular speed and angular acceleration it is possible to estimate the quality of the operating process in the cylinders of a diesel engine, the condition of its cylinder-piston group and the crank gear mechanism. The investigation was realized on the basis of a diesel-generator with linear load. The generator operation was considered for the case of constant RL load. Together with the above mentioned, the condition of bearings of synchronous machines, uniformity of the air gap, windings of the electric machine were estimated during the experiments as well. The frequency spectrum of the stator current of the generator was researched and analyzed. In this case the synchronous machine is becoming a rather exact multipurpose diagnostic sensor. The signal of non-uniformity in the operation process of diesel engine cylinders and its technical condition is the increasing of the amplitudes of typical frequencies.

Integrity Assessment and Control of Offshore Topside Piping: An Expert System Based Approach

2018 ◽  
Author(s):  
R. M. Chandima Ratnayake
Keyword(s):  
Expert System ◽  
Fuzzy Inference ◽  
Control Program ◽  
Technical Condition ◽  
Practical Significance ◽  
Illustrative Case ◽  
Inference System ◽  
Suggested Approach ◽  
Integrity Assessment ◽  
And Control

Downtime has a significant influence on the productive capability of offshore topside operating systems. Integrity assessment and control (IA&C) disciplines face major challenges in implementing a plant integrity control strategy, due to the lack of a methodology for incorporating fuzziness present in the data. To date, the employed IA&C practices face challenges in maintaining uniform quality from one integrity control program to another, due to the variability present in the technical IA&C process, especially among the different integrity assessment experts. Hence, it is vital to use expert systems-based approaches to sustain IA&C activities at an anticipated level and maintain the performance of operating assets at a target level. This manuscript provides a methodology and an illustrative case for how to perform IA&C activities for offshore topside piping. The illustrative case is demonstrated using a fuzzy inference system (FIS). Technical condition (TC) and relative degradation (RD) are selected as the inputs to the FIS for assessing the likelihood of failure (LoF). Expert system-based calculations, and how to use such results for IA&C, are demonstrated. The practical significance of the suggested approach is also discussed.

Methodological Approaches to the Development of an Integral Criterion for Assessing the Condition of 6 kV Power Cables at the Industrial Enterprises

2020 ◽  
pp. 71-76
Author(s):  
F.Sh. Khafizov ◽  
◽  
Zh. da K. Novikova Freyre Shavier ◽  
Keyword(s):  
Electrical Equipment ◽  
Technical Condition ◽  
Actual Condition ◽  
Power Cable ◽  
Power Cables ◽  
Integral Criterion ◽  
Destructive Testing ◽  
Diagnostic Laboratory ◽  
Diagnostic Parameters ◽  
Industrial Enterprises

The problem of energy security of industrial enterprises is considered, which is directly related to the technical condition of 6 kV power cables with impregnated paper insulation. The conclusion is made about the need for a unified approach to the prevention of accidents caused by faults and cable defects. The task is to conduct a study and develop an integral criterion that allows identifying the current technical condition of 6 kV power cables. To carry out these studies, a special experimental setup was created in the diagnostic laboratory of the Ufa State Petroleum Technical University. The developed research method is based on the theory of non-destructive testing. Analysis of the research results based on the analysis of input and output signals of various frequencies, taking into account the characteristics of the power cable, confirmed the fact of changes in the measured values. This indicates the presence of damage and defects inside the cable. Diagnostic parameters were obtained during the research. The relationship between these parameters and the characteristic level of cable defects and damages is established. Using an artificial neural network, integral diagnostic parameters were formed, and an integral criterion was developed. The use of this criterion will allow to identify faults and defects in power cables and track the dynamics of their development, predict the residual resource of cables, and transfer them to maintenance according to their actual condition. All this will further increase the safety and efficiency of electrical equipment operation at the industrial enterprises.

MULTIPARAMETRIC DIAGNOSTICS OF GAS TURBINE ENGINES

2021 ◽  
Vol 156 (A2) ◽  
Author(s):  
J Sinay ◽  
A Tompos ◽  
M Puskar ◽  
V Petkova
Keyword(s):  
Gas Turbine ◽  
High Speed ◽  
Technical Condition ◽  
Diagnostic Methods ◽  
Turbine Engines ◽  
Technical Diagnostics ◽  
Suitable Model ◽  
Gas Turbine Engines ◽  
Advantages And Disadvantages ◽  
The Matrix

This article addresses the issue of diagnostics and maintenance of Gas Turbine Engines which are located in high Speed Ferries, Cruisers, Frigates, Corvettes, etc. Assurance of reliable operation can be performed only by using correct diagnostic methods and procedures of monitoring the condition of the devices and by selecting the correct strategy of maintenance. The issue of monitoring the technical condition of Gas Turbine Engines is treated through multiparametric methods of technical diagnostics incorporated into predictive maintenance, which is a part of proactive maintenance. There are methods of vibrodiagnostics, thermography, tribology, borescopy and emissions measurement. Each of these methods has lots of advantages and disadvantages; therefore it is very important to ensure their correct combination for trouble-free operation of those important facilities. Their suitability at work is discussed in the matrix of diagnostic methods application and the PF chart. The output of the work is a proposal of a suitable model of maintenance control which uses multiparametric diagnostic methods for small and big Gas Turbine Engines and optimizes maintenance costs.

scholarly journals Assessment improvement of road accidents on highways of the Far North as the basis for sustainable regional development

2021 ◽  
Vol 112 ◽  
pp. 00007
Author(s):  
Dmitry A. Skorobogatchenko ◽  
Vitaly S. Borovik ◽  
Vitaly V. Borovik ◽  
Anton Y. Zhabunin ◽  
Roman R. Chugumbaev
Keyword(s):  
Road Safety ◽  
Safety Assessment ◽  
Traffic Accidents ◽  
Fuzzy Inference ◽  
Road Traffic ◽  
Technical Condition ◽  
Road Accidents ◽  
Inference System ◽  
Far North ◽  
Wide Range

The paper substantiates the need to assess the road safety in the specific conditions of the Far North by means of the analysis of the factors in the “driver-car-road-environment” system. The authors suggest a methodology for assessment of road traffic accidents, which makes it possible to take into account a wide range of factors affecting road accidents. In particular, the simulation takes into account the characteristics of the driver, technical condition of the vehicle, road conditions, weather and climate. Adaptive neural networks based on fuzzy inference systems are used as a tool for road safety assessment. The authors mention the results of statistical studies on a number of variables of the “driver-car-road-environment” system, which make it possible to form membership functions in the fuzzy inference system. The final part of the paper presents the practical results of road safety assessment for various categories of drivers in different road conditions in one of the largest cities in the Far North.

scholarly journals Assessment of Technical Condition and Readiness of Pump Units by Diagnostic Methods

2021 ◽  
Vol 320 ◽  
pp. 04010
Author(s):  
M. M. Muhammadiev ◽  
O. Y. Glovatsky ◽  
R. R. Ergashev ◽  
N. R. Nasyrova ◽  
F. S. Saidov
Keyword(s):  
Working Conditions ◽  
Diagnostic System ◽  
Technical Condition ◽  
Diagnostic Methods ◽  
Operating Costs ◽  
Power Equipment ◽  
Time Intervals ◽  
Pumping Stations ◽  
Pumping Units ◽  
The Cost

The article presents the developed methods and models for analyzing the dynamic indicators of pumping units for different time intervals of their state during operation. The main tasks of assessing the technical condition are to identify deviations from design solutions, the presence of damage, defects in pump structures that can cause accidents. The results of the development of a diagnostic system for pumping units at pumping stations are presented. The working conditions of the connecting links of the main pumping and power equipment and its diagnostics are considered. The introduction of the proposed diagnostic system will lead to a reduction in operating costs of pumping units and the cost of their maintenance.

Sign in / Sign up

Export Citation Format

Share Document