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Komarov, K. L.; Ser'eznov, A. N.; Муравьев, В. В.; Степанова, Л. Н.; Lebedev, E. Yu.; Kabanov, S. I.; Gerashchenko, M. V.

doi:10.1023/a:1016729620374

Cited by 3 publications

(2 citation statements)

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“…This is, as a rule, signaling and communication equipment (SCE). The issues of safety of transportation of goods and passengers on the railways have always been under increased attention [10][11]. It should be noted that the railway signaling system on the basis of "digitalization" already operates in a system of high-speed railways on a landfill with a total length of more than 80,000 km.…”

Section: Digital Railroadsmentioning

confidence: 99%

Development of transport systems as one of the areas of Industry 4.0

Komarov

2018

MATEC Web Conf.

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This article considers the results of research conducted to define the impact of information technology (IT) on the development of regional transport systems (TS) within the subjects of the Russian Federation. The purpose of this paper is to investigate the impact of digitalization on transport systems and to assess its economic consequences. Methods of analytical modelling, ranging and spatial differentiation are used. The differentiated recommendations are offered for cities, agglomerations and regions for assessing the economic consequences of transport digitalization.

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Section: Digital Railroadsmentioning

confidence: 99%

Development of transport systems as one of the areas of Industry 4.0

Komarov

2018

MATEC Web Conf.

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“…4 The overall goal is to use the AE system to detect, locate and quantify damage. Acoustic emission for structural health monitoring (SHM) has been widely used 5 to monitor, for example, industrial oil tanks, 6 pressure vessels 7 and aircraft. 8 Pitting corrosion has been the subject of numerous electrochemical studies.…”

Section: Introductionmentioning

confidence: 99%

Acoustic emission from pitting corrosion in stressed stainless steel plate

Lee¹,

Scholey²,

Worthington³

et al. 2008

Corrosion Engineering, Science and Technology

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The acoustic emission (AE) technique is used to detect and study the AE signals emitted from pitting corrosion on 316L stainless steel plate samples subjected to different levels of surface stress. The tests are performed in a four point bend using accelerated localised salt water corrosion driven by a potentiostat. The AE event rate and the corrosion rate are both found to be affected by the different surface stresses on the plate. After an initial stress dependent phase that lasts around two hours, the AE event rate reduces to a fairly steady rate that is independent of the applied stress. The statistics of the AE data collected from pitting in these specimens is used as the input into a model of an AE corrosion detection system in a larger scale structure. Such a model can be used to estimate the performance of the system as a function of parameters such as threshold level and sensor separation.

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