scholarly journals LOCAL MEANS OF THERMAL DIAGNOSTIC CONTROL OF ELECTRICAL EQUIPMENT FUNCTIONALITY

2021 ◽  
Vol 3 (163) ◽  
pp. 126-132
Author(s):  
S. Yesaulov ◽  
A. Kovalenko ◽  
O. Babicheva ◽  
D. Khuruzha
Keyword(s):  
Thermal Control ◽  
Electrical Equipment ◽  
Thermal Method ◽  
Binary Representation ◽  
Transport Models ◽  
Local Means ◽  
Direct Measurements ◽  
Equipment Failures ◽  
Electromechanical Equipment ◽  
Selection Of

Attention is drawn to the lack in many municipal transport models of off-line testing engineering tools of on-board parameters and assessment of electromechanical equipment in real time. These development restraints are caused by stagnation of engineering decisions that can be eliminated with the help of the unlimited possibilities of modern microelectronics. It has been considered an example of thermal control of electrical equipment during its operations. The popularity of the thermal method of equipment control is confirmed by its application not only in transport, but also in electromechanical devices. It has been considered methods of using several thermal transducers for collecting data and forming matrices characterizing a certain class of breakdowns. The most important matrix is ​​the initial one, which refers to the serviceable equipment at the beginning of equipment operations. Due to increased reliability of data, it is advisable to develop effective methods for selective selection of initial values. The paper drew attention to the possibility of solving such problems by software with the implementation of comparison methods, sorting options, etc. The peculiarity of algorithms development for such auxiliary operations is due to the possibility of creating data arrays for the practical identification of possible failures, both in individual parts of the equipment and in the set of components as a whole. It has been presented the results of the binary representation of intermediate and final information messages, which greatly simplify the implementation of diagnostic examination tools. Modeling in the Matlab environment confirmed acceptability of proposed engineering decisions adapted for their implementation by means of processors with RISC-architecture. Despite the fact that binary methods of breakdowns technical appraisal will always differ much more inaccuracy than those made on the basis of direct measurements, proposed autonomous local binary experts in onboard versions of their implementation in transport are less labor-intensive, do not require maintenance, are economical and may turn out to be good helpers to prevent possible equipment failures when operating vehicles on passenger service lines.

Construction of intelligent query system for metro electromechanical equipment faults based on the knowledge graph

2021 ◽  
pp. 1-18
Author(s):  
Ziyu Liu ◽  
Ying Li ◽  
Lixia Zhao ◽  
Pengtao Guo
Keyword(s):  
User Interaction ◽  
Electrical Equipment ◽  
Research Field ◽  
Knowledge Graph ◽  
Mechanical Equipment ◽  
Natural Language Question ◽  
Interaction Interface ◽  
Equipment Failures ◽  
Electromechanical Equipment ◽  
Inquiry System

The intelligent inquiry system for metro electro-mechanical equipment faults based on the knowledge graph can effectively consolidate various semi-structured failure messages, and can provide users with quick, accurate and high-quality intelligent inquiry services such as equipment fault causes-researching and solutions-delivering, which could be really relevant to this research field and application areas. The recorded date which related to metro electromechanical equipment failures were in this research collected, consolidated and converted, so that these failures could be stored in our databases. In this context, various functions of the intelligent inquiry system have been implemented, including: natural language question analysis, language Cypher-based question and answer design, Naive Bayesian classification based on characteristic core words, and user interaction interface realization. The experimental results show that the system can effectively solve the problems related to fault handling in metro mechanical and electrical equipment, thus improving the efficiency of equipment fault maintenance.

Automated Image Denoising Model: Contribution Towards Optimized Internal and External Basis

2021 ◽  
pp. 2150051
Author(s):  
S. Elavaar Kuzhali ◽  
D. S. Suresh
Keyword(s):  
Image Denoising ◽  
Image Patch ◽  
The Past ◽  
Local Means ◽  
Hybrid Optimization Algorithm ◽  
Proposed Model ◽  
Processing Step ◽  
Non Local ◽  
Chicken Swarm Optimization ◽  
Selection Of

For handling digital images for various applications, image denoising is considered as a fundamental pre-processing step. Diverse image denoising algorithms have been introduced in the past few decades. The main intent of this proposal is to develop an effective image denoising model on the basis of internal and external patches. This model adopts Non-local means (NLM) for performing the denoising, which uses redundant information of the image in pixel or spatial domain to reduce the noise. While performing the image denoising using NLM, “denoising an image patch using the other noisy patches within the noisy image is done for internal denoising and denoising a patch using the external clean natural patches is done for external denoising”. Here, the selection of optimal block from the entire datasets including internal noisy images and external clean natural images is decided by a new hybrid optimization algorithm. The two renowned optimization algorithms Chicken Swarm Optimization (CSO), and Dragon Fly Algorithm (DA) are merged, and the new hybrid algorithm Rooster-based Levy Updated DA (RLU-DA) is adopted. The experimental results in terms of some relevant performance measures show the promising results of the proposed model with remarkable stability and high accuracy.

Assessment and improvement of competitiveness of industrial complex

2020 ◽  
Vol 30 (5) ◽  
pp. 611-633
Author(s):  
Vadim Krivorotov ◽  
Alexey Kalina ◽  
Vasiliy Tretyakov ◽  
Sergey Yerypalov ◽  
Anna Oykher
Keyword(s):  
Resource Constraints ◽  
Electrical Equipment ◽  
Optimal Portfolio ◽  
Development Projects ◽  
Industrial Complex ◽  
Project Portfolio ◽  
Content Type ◽  
Methodical Approach ◽  
The Impact ◽  
Selection Of

Purpose The purpose of this study is to develop a model for the selection of optimal development projects for an industrial complex (IC), aimed at improving its competitiveness. Design/methodology/approach Selection of optimal projects for IC development is carried out within the framework of a methodical approach to assessing and forecasting the competitiveness of IC based on the phased implementation of the following steps: assessment of the current level of competitiveness of an IC; optimization of the project portfolio aimed at improving the IC competitiveness; forecasting the IC competitiveness. The methodology for assessing the IC competitiveness is based on a comparative analysis of its activities against those of its leading competitors and evaluates two integral characteristics, namely, the level of current competitiveness and the indicator of the competitive potential. The methodical approach to the selection of the optimal portfolio of projects for the development of competitiveness is based on a step-by-step optimization of the portfolio using a dynamic programming procedure, which takes into account the implementation conditions of the projects, resource constraints and the prioritization of these projects. The targeted benchmark for the optimization is an integral indicator of IC competitiveness, comprising various aspects of its activities. Findings Method for multi-factor evaluation of IC competitiveness and the impact of a set of factors driving competitive advantage; set of benchmarks of IC competitiveness; the model for the selection and step-by-step optimization of the portfolio of IC development projects, aimed at increasing competitiveness in the context of resource constraints. Practical implications Methodology described in this paper was used to assess the competitiveness and optimize the project portfolio of Uralelektrotyazhmash Group of Enterprises (UETM), one of the largest power engineering complexes in Russia. The assessment was carried out in comparison with the leading domestic and global manufacturers of electrical equipment, which form UETM’s primary competition in the marketplace. Originality/value The study establishes a method for the comprehensive assessment of IC competitiveness based on the comparison of IC activity indicators with those of leading competitors. The proposed method defines an integral competitiveness index to allow for the quantitative assessment of IC competitiveness, development of measures to improve IC competitiveness and producing a methodology to forecast the impact of such measures; the study proposes a methodical approach to selecting the optimal portfolio of projects for the development of IC based on the stepwise optimization of such a portfolio while taking into account the conditions of their implementation, resource constraints and the impact on the indicator of competitiveness. This approach allows the IC to prioritize the implementation of the development projects and maximize its competitiveness in the context of available resources.

Specific Heat Measurements of Ti6Al4V/Nano SiCp Composite

2017 ◽  
Vol 14 (1) ◽  
pp. 742-746
Author(s):  
S Krishnamohan ◽  
S Ramanathan ◽  
V Ramakrishnan
Keyword(s):  
Heat Capacity ◽  
Weight Ratio ◽  
Thermal Control ◽  
Ti6al4v Alloy ◽  
Thermal Design ◽  
Thermal Method ◽  
Scanning Calorimetry ◽  
Low Weight ◽  
Wide Range ◽  
Materials Used

The elevated strength, low weight ratio and excellent corrosion resistance intrinsic to titanium and its alloys has led to a wide range of successful applications which ensures high levels of unswerving performance in aerospace. The performance of the Thermal Control System extremely depends on the thermal behavior of the materials used in its elements. The measurements of the thermal properties of materials are necessary for better understanding of the thermal design. Differential scanning calorimetry (DSC) is the most extensively used thermal method for finding wealth of information about a material. The heat capacity (Cp) of a material was established quantitatively using DSC. The measurement was made by heating a very small quantity of the Ti6Al4V alloy and Ti6Al4V/Nano SiCp composites. Mechanical alloying (MA) and Powder metallurgy (P/M) techniques were used to fabricate the Ti6Al4V alloy and Ti6Al4V/ nano SiCp composites. The heat flow reaction was recorded as a function of definite sample temperature range from −100 °C to 375 °C. The measurements of the heat capacity of each sample in three runs were recorded by DSC. The heat capacity (Cp) of specimens is reported in this study.

General Principles for the Realization of Reference Systems for Earth Dynamics

1975 ◽  
Vol 26 ◽  
pp. 261-267 ◽  
Author(s):  
G. Veis
Keyword(s):  
Reference System ◽  
Reference Systems ◽  
The Earth ◽  
Direct Measurements ◽  
Planets And Satellites ◽  
Definition Of ◽  
Earth Dynamics ◽  
Dynamic Phenomena ◽  
Selection Of ◽  
Better Than

A reference system is useful to express conveniently the location of a point and to study kinematic and dynamic phenomena. Although the definition of a reference system is theoretically very simple, its realization becomes very fifficult since it must be achieved by measurements reduced and expressed in this system.A referenoe system can be materialized by direct measurements of the coordinates or, more frequently, indirectly by measuring differential quantities and calculating the coordinates “de proche en proche.” The accuracy of the system definition cannot be better than the accuracy of the measurements themselves.For Earth dynamics we need a reference system related to the Earth, but since observations of other bodies such as galaxies, stars, planets, and satellites also may be required, the reference systems in which the positions of these bodies are expressed must also be related to the selected terrestrial system.To optimize the selection of a reference system one must consider both the phase of the operations for the establishment of the system and the phase of the utilization of the system, because the establishment of a reference system is not the final goal.

scholarly journals Injection Tests and Effect on Microstructure and Properties of Aluminium 7075 Direct Thermal Method Feedstock Billets

2014 ◽  
Vol 611-612 ◽  
pp. 1637-1644 ◽  
Author(s):  
Asnul Hadi Ahmad ◽  
S. Naher ◽  
Dermot Brabazon
Keyword(s):  
Liquid Phase ◽  
Secondary Phase ◽  
Solid Metal ◽  
Microstructure Analysis ◽  
Thermal Method ◽  
Processing Unit ◽  
Grain Formation ◽  
Experimental Works ◽  
Semi Solid ◽  
Selection Of

The success of semi-solid metal forming is dependent on a globular solid grain formation within a liquid phase. This paper presents experimental works concerning semi-solid metal processing of aluminium 7075 feedstock billets which were produced by direct thermal method. The flowability of feedstock billets was evaluated by an injection test processing unit. The feedstock billets were heated to a temperature of 620 °C by using a box furnace before transferred into a forming die. The formed feedstock billet was removed from the forming die after it was cooled to ambient temperature. Several analyses were conducted on the formed feedstock billets including dimensional measurement and microstructure analysis. The results show that the feedstock billets which contained highest amount of free secondary phase were most successfully formed. Microstructure analysis results also revealed the formation of more globular and larger α–Al solid grains in the same feedstock billets. In this experimental work, the feedstock billets with higher secondary (liquid) phase gives a significant effect to formability. It can be concluded that in order to get successful formability of direct thermal method feedstock billets, the billets need to have higher secondary phase content. Thus, the selection of proper feedstock billets is important to determine the success of the SSM processing.

Validation in sheep of the doubly labeled water method for estimating CO2 production

1994 ◽  
Vol 266 (1) ◽  
pp. R169-R179 ◽  
Author(s):  
A. J. Midwood ◽  
P. Haggarty ◽  
B. A. McGaw ◽  
G. S. Mollison ◽  
E. Milne ◽  
...  
Keyword(s):  
Poisson Model ◽  
Carbon Dioxide Production ◽  
Co2 Production ◽  
Doubly Labeled Water ◽  
Evaporative Water ◽  
Respiration Chamber ◽  
Direct Measurements ◽  
Doubly Labeled Water Method ◽  
The Mean ◽  
Selection Of

Carbon dioxide production (rCO2) was estimated in four sheep over a period of 10 days using doubly labeled water (2H and 18O) and was compared with simultaneous respiration chamber measurements of CO2. The excess 2H and 18O measurements were corrected for the empirically determined effects of isotope rebreathing within the confines of the chambers. A weighted monoexponential curve was then fitted to the data from which isotope flux rates and ultimately rCO2 and water turnover (rH2O) estimates were made. The curve fits were weighted assuming a Poisson model. Selection of this weighting policy did not bias the results, and curvature in the data also appeared to have little effect on the rCO2 estimates. Fractionated evaporative water loss expressed as a fraction of rH2O (X) was estimated from water balance and breath water production estimates; the mean X was 0.145 and ranged from 0.108 to 0.183. Corrections for 2H loss in fecal solids reduced the mean rH2O (4,746 g/day) by 35.5 g/day and increased the mean rCO2 (332.3 l/day) by 21.2 l/day. Further corrections to account for 2H loss in methane (mean production rate 27.2 l/day) reduced rH2O by 33.8 g/day and increased rCO2 by 20.3 l/day. The final isotopic estimates of rH2O were 14.6 +/- 6.59% (n = 4) lower than direct measurements and the mean rCO2 was 3.5 +/- 14.48% (n = 4) lower than the chamber measured rCO2. However, in one of the animals studied the rCO2 deviated markedly from the chamber-derived value, and this discrepancy has yet to be explained. When this animal was excluded from the comparisons, the standard deviation was greatly reduced (+/- 3.6, n = 3) and the mean overall error on rCO2 was +3.6%.

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