scholarly journals On the classification of motive power failures

Dependability ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 12-19
Author(s):  
Yu. V. Babkov ◽  
E. E. Belova ◽  
M. I. Potapov
Keyword(s):  
Life Cycle ◽  
Markov Chains ◽  
Technical Condition ◽  
Transportation Systems ◽  
Probabilistic Methods ◽  
Railway Transportation ◽  
Structural Problems ◽  
Failure Classification ◽  
Technical Systems

The Aim of the article is to develop a motive power failure classification to enable substantiated definition of dependability requirements for motive power as a part of a railway transportation system, as well as for organizing systematic measures to ensure a required level of its dependability over the life cycle. Methods. The terminology of interstate dependability-related standards was analysed and the two classifications used by OJSC “RZD” for estimating the dependability of technical systems and motive power were compared. The dependability of railway transportation systems is studied using structural and logical and logical and probabilistic methods of dependability analysis, while railway lines are examined using the graph theory and the Markov chains. Results. An analysis of the existing failure classifications identified shortcomings that prevent the use of such classifications for studying the structural dependability of such railway transportation systems as motive power. A classification was developed that combines two failure classifications (“category-based” for the transportation process and technical systems and “type-based” for the motive power), but this time with new definitions. The proposed classification of the types of failures involves stricter definitions of the conditions and assumptions required for evaluating the dependability and technical condition of an item, which ensures correlation between the characteristics of motive power and its dependability throughout the life cycle in the context of the above tasks. The two classifications could be used simultaneously while researching structural problems of dependability using logical and probabilistic methods and Markov chains. The developed classification is included in the provisions of the draft interstate standard “Dependability of motive power. Procedure for the definition, calculation methods and supervision of dependability indicators throughout the life cycle” that is being prepared by JSC “VNIKTI” in accordance with the OJSC “RZD” research and development plan. Conclusion. The article’s findings will be useful to experts involved in the evaluation of motive power dependability.

Probabilistic Analysis of Intermediate Floor Steel and Wooden Structures in the Old Urban Development Building

2014 ◽  
Vol 633-634 ◽  
pp. 1140-1147
Author(s):  
Vladimir Alekseevich Sokolov
Keyword(s):  
Information Theory ◽  
Urban Development ◽  
Probabilistic Analysis ◽  
Technical Condition ◽  
Probabilistic Methods ◽  
Technical Diagnostics ◽  
Structural Elements ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Wooden Structures

The article suggests an approach to determine structural elements technical condition, based on the mathematical probabilistic apparatus of technical diagnostics. Diagnostics are performed using probabilistic methods of complex technical systems conditions recognition. Probabilistic parameters are calculated according to Bayes’s rule. The paper shows a diagnostics example of intermediate floor elements and systems in the old urban development building. Both the suggested method and information theory methods are used during diagnostics.

Analysis of the wagons-tanks technical condition of the chemical industry park

2019 ◽  
Vol 24 (3-4) ◽  
pp. 82-92
Author(s):  
Voropai V. ◽  
◽  
Chebanov V. ◽  
Keyword(s):  
Life Cycle ◽  
Chemical Industry ◽  
Statistical Data ◽  
Technical Condition ◽  
Technical Diagnostics ◽  
Information Set

The article brings statistical data on the technical condition of the wagons-tanks of one of the largest enterprises of the Ukrainian chemical industry. The technique of monitoring the technical condition is explained, the classification of damage to wagons-tanks depending on the stages of the life cycle is proposed, the distribution of damage depending on the stages of the life cycle is shown. The information set forth in the article provides the basis for conducting technical diagnostics in order to justify the further term of maintenance

scholarly journals Analysis, Quantification and Evaluation of Uncertainty

2021 ◽  
pp. 113-207
Author(s):  
Maximilian Schaeffner ◽  
Eberhard Abele ◽  
Reiner Anderl ◽  
Christian Bölling ◽  
Johannes Brötz ◽  
...  
Keyword(s):  
Life Cycle ◽  
Model Uncertainty ◽  
Product Life Cycle ◽  
Mechanical Engineering ◽  
Holistic Approach ◽  
Product Life ◽  
Technical Systems

AbstractThis chapter describes the various approaches to analyse, quantify and evaluate uncertainty along the phases of the product life cycle. It is based on the previous chapters that introduce a consistent classification of uncertainty and a holistic approach to master the uncertainty of technical systems in mechanical engineering. Here, the following topics are presented: the identification of uncertainty by modelling technical processes, the detection and handling of data-induced conflicts, the analysis, quantification and evaluation of model uncertainty as well as the representation and visualisation of uncertainty. The different approaches are discussed and demonstrated on exemplary technical systems.

Efficiency of application of the phase-chronometric method and neurodiagnostics for monitoring the degradation of rolling bearings during operation

2020 ◽  
pp. 43-50
Author(s):  
A.S. Komshin ◽  
K.G. Potapov ◽  
V.I. Pronyakin ◽  
A.B. Syritskii
Keyword(s):  
Life Cycle ◽  
Wavelet Analysis ◽  
Metrological Support ◽  
Rolling Bearing ◽  
Technical Condition ◽  
Measurement Information ◽  
Rolling Bearings ◽  
Vibration Diagnostics ◽  
Bearing Life ◽  
Alternative Approach

The paper presents an alternative approach to metrological support and assessment of the technical condition of rolling bearings in operation. The analysis of existing approaches, including methods of vibration diagnostics, envelope analysis, wavelet analysis, etc. Considers the possibility of applying a phase-chronometric method for support on the basis of neurodiagnostics bearing life cycle on the basis of the unified format of measurement information. The possibility of diagnosing a rolling bearing when analyzing measurement information from the shaft and separator was evaluated.

ASPECTS IN BUILDING A COMPANY WEB-SITE AND ITS ROLE FOR THE DEVELOPMENT OF BUSINESS

2018 ◽  
pp. 117-124
Author(s):  
Petar Halachev ◽  
Victoria Radeva ◽  
Albena Nikiforova ◽  
Miglena Veneva
Keyword(s):  
Life Cycle ◽  
Web Site ◽  
The Internet ◽  
A Company ◽  
The Web ◽  
Design Construction ◽  
Made In ◽  
Site Types

This report is dedicated to the role of the web site as an important tool for presenting business on the Internet. Classification of site types has been made in terms of their application in the business and the types of structures in their construction. The Models of the Life Cycle for designing business websites are analyzed and are outlined their strengths and weaknesses. The stages in the design, construction, commissioning, and maintenance of a business website are distinguished and the activities and requirements of each stage are specified.

Hierarchical Scheme for Vehicle Make and Model Recognition

2021 ◽  
pp. 036119812110197
Author(s):  
Chaoqing Wang ◽  
Junlong Cheng ◽  
Yuefei Wang ◽  
Yurong Qian
Keyword(s):  
Intelligent Transportation Systems ◽  
Recognition Accuracy ◽  
Transportation Systems ◽  
Feature Descriptor ◽  
Vehicle Recognition ◽  
Public Dataset ◽  
Classification Of Images ◽  
Model Recognition ◽  
Hierarchical Scheme

A vehicle make and model recognition (VMMR) system is a common requirement in the field of intelligent transportation systems (ITS). However, it is a challenging task because of the subtle differences between vehicle categories. In this paper, we propose a hierarchical scheme for VMMR. Specifically, the scheme consists of (1) a feature extraction framework called weighted mask hierarchical bilinear pooling (WMHBP) based on hierarchical bilinear pooling (HBP) which weakens the influence of invalid background regions by generating a weighted mask while extracting features from discriminative regions to form a more robust feature descriptor; (2) a hierarchical loss function that can learn the appearance differences between vehicle brands, and enhance vehicle recognition accuracy; (3) collection of vehicle images from the Internet and classification of images with hierarchical labels to augment data for solving the problem of insufficient data and low picture resolution and improving the model’s generalization ability and robustness. We evaluate the proposed framework for accuracy and real-time performance and the experiment results indicate a recognition accuracy of 95.1% and an FPS (frames per second) of 107 for the framework for the Stanford Cars public dataset, which demonstrates the superiority of the method and its availability for ITS.

scholarly journals Graceful extensibility in asset management: extending the capacity to adapt in managing cyber-physical railway systems

2021 ◽  
Author(s):  
Jan-jaap Moerman ◽  
Jan Maarten Schraagen ◽  
Jan Braaksma ◽  
Leo van Dongen
Keyword(s):  
Asset Management ◽  
Adaptive Systems ◽  
New Technologies ◽  
Autonomous Driving ◽  
Cyber Physical Systems ◽  
Transportation Systems ◽  
Rolling Stock ◽  
Railway Transportation ◽  
Physical Systems ◽  
Railway Systems

AbstractGraceful extensibility has been recently introduced and can be defined as the ability of a system to extend its capacity to adapt when surprise events challenge its boundaries. It provides basic rules that govern adaptive systems. Railway transportation systems can be considered cyber-physical systems that comprise interacting digital, analog, physical, and human components engineered for safe and reliable railway transport. This enables autonomous driving, new functionalities to achieve higher capacity, greater safety, and real-time health monitoring. New rolling stock introductions require continuous adaptations to meet the challenges of these complex railway systems as an introduction takes several years to complete and deals with changing stakeholder demands, new technologies, and technical constraints which cannot be fully predicted in advance. To sustain adaptability when introducing new rolling stock, the theory of graceful extensibility might be valuable but needs further empirical testing to be useful in the field. This study contributes by assessing the proto-theorems of graceful extensibility in a case study in the railway industry by means of adopting pattern-matching analysis. The results of this study indicate that the majority of theoretical patterns postulated by the theory are corroborated by the data. Guidelines are proposed for further operationalization of the theory in the field. Furthermore, case results indicate the need to adopt management approaches that accept indeterminism as a complement to the prevailing deterministic perspective, to sustain adaptability and deal effectively with surprise events. As such, this study may serve other critical asset introductions dealing with cyber-physical systems in their push for sustained adaptability.

Using fuzzy gh-models to represent the complex technical systems

2021 ◽  
pp. 55-60
Author(s):  
E. R. Muntyan ◽  
Keyword(s):  
Different Types ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Multiple Edges

to representation the complex technical systems, we propose the use of fuzzy GH-models based on graphs, which differ from known that allow to take into account, in addition to the same type of edges, different types of edges and multiple edges in the form of a vector. The paper notes the advantages of GH-graphs due to the use of edges in the form of a vector, which reduces the time spent on calculations on graphs and at the same time takes into account the necessary relations in the system. The classification of edges in GH-graphs is performed, due to the need to use all possible relations between the objects of the system.

Predicting individual post-penitentiary crimes

2020 ◽  
pp. 80-88
Author(s):  
Валерий Ильич Терехин ◽  
Виктор Валентинович Чернышов ◽  
Ольга Викторовна Имамбаева
Keyword(s):  
Life Cycle ◽  
Individual Characteristics ◽  
Penal Institutions

Факторы рецидивных преступлений. Оценка вероятности рецидивов по стадиям жизненного цикла преступности. Проблема взаимосвязи факторов. Адаптация осужденных после освобождения. Классификация осужденных по вероятности постпенитенциарных рецидивов. Латентность преступлений как ограничение достоверности прогнозов преступности. Моделирование индивидуальных постпенитенциарных преступлений. В статье обоснована классификация осужденных на момент их освобождения из учреждений УИС по вероятности совершения ими постпенитенциарного рецидива. Приведен пример моделирования сроков совершения постпенитенциарных преступлений. В работе выделена совокупность индивидуальных характеристик осужденного, которые отражают его нацеленность на совершение латентных преступлений и способности их совершения. Factors of recidivism. Assessment of the probability of recidivism by stages of the life cycle of crime. The problem of interrelation of factors. Adaptation of prisoners after release. Classification of prisoners according to the likelihood of post-penitentiary relapse. Crime latency as a limitation on the reliability of crime forecasts. Modeling of individual post-penitentiary crimes. The article substantiates the classification of convicts at the time of their release from penal institutions by the probability of their post-penitentiary recidivism. An example of modeling the timing of post-penitentiary crimes is given. The paper highlights a set of individual characteristics of the convict, which reflect his focus on the Commission of latent crimes and the ability to commit them.

Sign in / Sign up

Export Citation Format

Share Document