scholarly journals Proposed Track Classification for Egyptian Railway Lines

2019 ◽  
Vol 8 (12) ◽  
pp. 4005-4009
Keyword(s):  
Effective Parameters ◽  
Railway Network ◽  
Track Maintenance ◽  
Railway Line ◽  
Traffic Loads ◽  
Load Train ◽  
Actual Classification ◽  
Line Classification ◽  
Economic Studies

The present research paper aims to reclassify the Egyptian Railway Network taking into consideration the safety and economy factors as Egyptian Railway suffers from track maintenance shortage. Lines are classified into several groups depending on dynamic load parameters to facilitate economic studies and comparisons between the worldwide railways. Then, discussions of four Railway line classifications are studied as follows: Theoretical classification of line Sections according to ENR, Actual classification of line sections according to ENR, UIC line classification and proposed classification of line sections for ENR by following the mentioned techniques. Three objectives are studied to reclassify the Egyptian Railway tracks: determine the traffic loads for all line sections of ENR based on official train schedule for year 2019, the track classification should be continuously defined each year taking the load, train type and the running speed as the main three effective parameters. The present methodology deduce some conclusion and recommendations to ensure both track safety and economical operational

Detection of Roller Bearing Conditions Using Mechatronics Approach

1999 ◽  
Author(s):  
T. I. Liu ◽  
F. Ordukhani
Keyword(s):  
Neural Networks ◽  
Roller Bearing ◽  
Diagnostic System ◽  
Feature Selection Technique ◽  
Vibration Signals ◽  
Selection Technique ◽  
On Line ◽  
Line Classification ◽  
Nonlinear Pattern

Abstract An on-line monitoring and diagnostic system is needed to detect faulty bearings. In this work, by applying the feature selection technique to the data obtained from vibration signals, six indices were selected. Artificial neural networks were used for nonlinear pattern recognition. An attempt was made to distinguish between normal and defective bearings. Counterpropagation neural networks with various network sizes were trained for these tasks. The counterpropagation neural networks were able to recognize a normal from a defective bearing with the success rate between 88.3% to 100%. The best results were obtained when all the six indices were used for the on-line classification of roller bearings.

scholarly journals Evolutionary optimization in classification of early-MCI patients from healthy controls using graph measures of resting-state fMRI

2021 ◽  
Author(s):  
Jafar Zamani ◽  
Ali Sadr ◽  
Amir-Homayoun Javadi
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Functional Connectivity ◽  
Evolutionary Algorithms ◽  
Resting State ◽  
Optimization Methods ◽  
Resting State Fmri ◽  
Optimization Method ◽  
Effective Parameters

AbstractsIdentifying individuals with early mild cognitive impairment (EMCI) can be an effective strategy for early diagnosis and delay the progression of Alzheimer’s disease (AD). Many approaches have been devised to discriminate those with EMCI from healthy control (HC) individuals. Selection of the most effective parameters has been one of the challenging aspects of these approaches. In this study we suggest an optimization method based on five evolutionary algorithms that can be used in optimization of neuroimaging data with a large number of parameters. Resting-state functional magnetic resonance imaging (rs-fMRI) measures, which measure functional connectivity, have been shown to be useful in prediction of cognitive decline. Analysis of functional connectivity data using graph measures is a common practice that results in a great number of parameters. Using graph measures we calculated 1155 parameters from the functional connectivity data of HC (n=36) and EMCI (n=34) extracted from the publicly available database of the Alzheimer’s disease neuroimaging initiative database (ADNI). These parameters were fed into the evolutionary algorithms to select a subset of parameters for classification of the data into two categories of EMCI and HC using a two-layer artificial neural network. All algorithms achieved classification accuracy of 94.55%, which is extremely high considering single-modality input and low number of data participants. These results highlight potential application of rs-fMRI and efficiency of such optimization methods in classification of images into HC and EMCI. This is of particular importance considering that MRI images of EMCI individuals cannot be easily identified by experts.

Innovative Suspended Superstructure for the Retrofitting of a Steel Truss Railway Bridge

2018 ◽  
Vol 763 ◽  
pp. 1121-1128
Author(s):  
Marco Mezzi ◽  
Gianluca Nestovito ◽  
Paolo Petrella ◽  
Vincenzo Cefaliello
Keyword(s):  
National Standard ◽  
Railway Network ◽  
Fluvial Erosion ◽  
Railway Line ◽  
Load Models ◽  
Emilia Earthquake ◽  
Structural Capacity ◽  
Railway System ◽  
2012 Emilia Earthquake ◽  
Suspended Bridge

The bridge in Poggio Renatico crossing the Reno river on the railway line between Bologna and Ferrara, consists of steel decks supported by masonry abutments and piers, while foundations and pier caps are made of reinforced concrete. After the 2012 Emilia Earthquake and accounting for the fluvial erosion below the piers foundations, a structural assessment of the bridge was carried out in accordance with to the current Italian rules. Although a sufficient structure capacity against the actual transit loads resulted, the bridge showed some inadequacies with respect to the load models provided by both the national standard for constructions and the guidelines of the Italian railway network company. The retrofitting project consists of an improvement of the structural capacity of all the elements: girders, piers and abutments. An innovative retrofitting solution provides for the strengthening of the existing decks through a suspension system of cables anchored to steel towers standing on both abutments and piers and creating a kind of suspended bridge. The retrofitting is compatible with the normal scheduled interruptions of the rail traffic thereby reducing the maintenance costs of the railway system. The structural solution represents a model easily replicable to solve analogous situations along the railway network.

scholarly journals Method for Determining the Valid Travel Route of Railways Based on Generalised Cost under the Syncretic Railway Network

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhiqiang Tian ◽  
Guofeng Sun ◽  
Dingjun Chen ◽  
Zhicheng Qiu ◽  
Yawen Ma
Keyword(s):  
High Speed ◽  
Search Algorithm ◽  
Cost Calculation ◽  
Railway Network ◽  
Line Planning ◽  
Integrated Network ◽  
Railway Line ◽  
Passenger Travel ◽  
Normal Speed ◽  
Generalised Cost

Travel route options for passengers can provide data support for railway line planning, passenger flow organisation, and train operation establishment. A critical review of the literature indicates that previous studies mainly focused on choices offered by a single railway network path without much consideration of China’s normal-speed and high-speed integrated railway network and the effect of train timetable on passengers’ travel choice. In this study, a method based on generalised cost is proposed to discover the valid routes of passenger travel in the integrated network of China’s normal-speed and high-speed railways. After quantifying the effects of train fare, travel time, transfer, travel convenience, comfort, and other factors on the generalised expenses of passengers, this study presents a generalised cost determination method when individuals select an option from different seats of different trains of specific railway transport products. Theoretically, the valid routes considering the train schedule is defined, and a valid route search algorithm is designed using the deep traversal idea in a new valid route searching network. Considering the Lanzhou-Beijing passenger travel routes as an example, this study verifies the practicability of the generalised cost calculation method, as well as that of the valid routes search method.

scholarly journals Operational criteria in the justification of electrification of railway lines

2018 ◽  
Vol 180 ◽  
pp. 06005
Author(s):  
Andrzej Massel
Keyword(s):  
Rolling Stock ◽  
The Political ◽  
Economic Factors ◽  
Single Track ◽  
Railway Network ◽  
Railway Line ◽  
Passenger Traffic ◽  
Post War ◽  
Operational Criteria ◽  
Double Track

The process of electrification of the Polish railways took place from 1936 till early 1990s. Despite the political constraints of the post-war times, the decisions on electrification of particular sections of the railway network were usually based on economic factors. In 1970s and 1980s so called electrification thresholds were used to justify the need for electrification of railway line in question. They took into the number of tracks (single-track lines, double-track lines), terrain conditions (flat terrain, upland terrain) and the traffic structure (the share of passenger traffic) into account. In the framework of National Railway Program till 2023 (KPK) the realization of electrification projects have been undertaken again. The present paper deals with importance of the operational criteria in the decision-making concerning justification of electrification of railway lines. These criteria include the shortening of the journey times on particular sections, shortening of stops on the stations with the change of the type of traction, the savings of train operating companies resulting from the traction unification (change of demand for rolling stock and for workshops for its servicing), improvement of reliability and punctuality of services.

Diagnostic Train for High Speed Line: A Tool for Improving Vehicle and Track Maintenance

2007 ◽  
Author(s):  
Giorgio Diana ◽  
Federico Cheli ◽  
Paolo Belforte ◽  
Ferruccio Resta ◽  
Michele Elia ◽  
...  
Keyword(s):  
High Speed ◽  
Low Frequency ◽  
Measuring System ◽  
Acceleration Measurement ◽  
Railway Network ◽  
Track Geometry ◽  
Track Maintenance ◽  
Wide Range ◽  
Set Up ◽  
Multi Body

During 2005, the Italian railway Network Operator (RFI – Rete Ferroviaria Italiana) realized two ETR500 train sets completely dedicated to diagnostic operation on the new high speed lines being built in Italy. During 2006, these train were equipped with a complete acceleration measuring system for test activities on new Italian high speed line Turin – Novara and Rome – Neaples. A complete accelerometric measurement set up has been installed for track investigation. To this aim, the experimental set up is able to identify vertical profile of track geometry, without the limitation to 25 – 30 m, typical of the traditional measuring methods. On the other hand, a tool for predictive identification of hunting instability has been developed. For each run, it is possible to define a map, highlighting all the irregularity wavelengths involved as a function of the space: for high speed application wavelength over 100 m can become really important both for comfort and safety, because they are able to interest low frequency dynamic (around 0.8 – 1.5 Hz). Moreover, with the aim of identifying the beginning of hunting instability, a tool has been developed in order to identify yaw instability vibration mode and thus its non-dimensional damping, just by bogie yaw acceleration measurement. Both this tools have been developed by means of comparison between numerical multi body simulations and experimental measurements. Numerical simulation have been used to simulate a wide range of operating condition, that was of fundamental importance in tuning of such tools. Full evidence on these method will be given in the paper, together with an example of the obtained results.

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