Interactive (Intelligent) Integrated System for the Road Vehicles’ Diagnostics

Tsybunov, Eduard; Shubenkova, Ksenia; Buyvol, Polina; Mukhametdinov, Eduard

doi:10.1007/978-3-319-93710-6_21

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…Tsybunov et al (2017) demonstrate that the use of vehicle ECU is limited due to its restricted scope for future expansion of functionality. In response to this limitation the authors propose the possibility to use mobile network functionality for in-field diagnosis of vehicle faults and suggest the capturing of data on faulty parts from service centres for the development of improved diagnostics and prognostics for vehicle maintenance practice Tsybunov et al (2017). A typical family car is made up of 150 ECUs that monitor various aspects of a car such as overseeing, regulating and altering the operation of a car's electronic systems, fuel injection, anti-lock braking system and so on.…”

Section: Framework For Circular Production Of Automotive Partsmentioning

confidence: 99%

“…The simulator will also draw on developments in mixed reality visualisation techniques allowing users, though the use of a headset, to view the potential effects of what-if scenarios developed within the simulator (before submission to circular economy users of the processed data) (Turner et al, 2016). Tsybunov et al (2017) demonstrate that the use of vehicle ECU is limited due to its restricted scope for future expansion of functionality. In response to this limitation the authors propose the possibility to use mobile network functionality for in-field diagnosis of vehicle faults and suggest the capturing of data on faulty parts from service centres for the development of improved diagnostics and prognostics for vehicle maintenance practice Tsybunov et al (2017).…”

Section: Framework For Circular Production Of Automotive Partsmentioning

confidence: 99%

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Circular production and maintenance of automotive parts: An Internet of Things (IoT) data framework and practice review

Turner

Okorie

Emmanouilidis

et al. 2022

Computers in Industry

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Section: Framework For Circular Production Of Automotive Partsmentioning

confidence: 99%

Section: Framework For Circular Production Of Automotive Partsmentioning

confidence: 99%

Circular production and maintenance of automotive parts: An Internet of Things (IoT) data framework and practice review

Turner

Okorie

Emmanouilidis

et al. 2022

Computers in Industry

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“…For this reason, the statistical results of technical inspections, given in particular the temporary roadworthiness and not roadworthiness of vehicles for road traffic, are closely monitored by the PTI inspection authorities and are considered as an indicator of the quality of the given PTI. The higher the percentage of temporary roadworthy and not roadworthy vehicles, the better the activity of the given PTI [61,62].…”

Section: During Roadworthiness Tests In Each Membermentioning

confidence: 99%

The Influence of Quality Management System on the Operation of Periodical Technical Inspection Stations

et al. 2021

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This article deals with the minimum requirements for quality management at Periodical Technical Inspection Stations (PTIS) for road vehicles in the Slovak Republic, as well as in selected countries of the European Union. Specifically, it contains research performed at all of the PTIS in the Slovak Republic with a focus on the established quality management system and the number of employees of companies operating these PTIS, as well as similar research in selected countries of the European Union. Based on the research results, the article contains an assessment of the influence of the implemented quality management system on the operation of PTIS. The analysis of the results showed that 86.7% of PTIs have an established system to meet the minimum requirements for quality management through a documented procedure (internal regulation), and 13.3% of the PTI have the certified quality management system according to the STN EN ISO/IEC 9001 standard. Unfortunately, no PTI in the Slovak Republic has the fulfilment of quality management requirements according to the standard STN EN ISO/IEC 17020.

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“…Data mining as a scientific discipline tries to answer it. This domain has been developed for many years already; as a result, there are plenty of already existing methods for multiple applications [ 1 , 2 , 3 , 4 ]. Nevertheless, with the growth of data amounts, the existing methods also need to be further developed and new approaches need to be proposed.…”

Section: Introductionmentioning

confidence: 99%

Decision Rules Construction: Algorithm Based on EAV Model

Żabiński

Zielosko

2020

Entropy

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In the paper, an approach for decision rules construction is proposed. It is studied from the point of view of the supervised machine learning task, i.e., classification, and from the point of view of knowledge representation. Generated rules provide comparable classification results to the dynamic programming approach for optimization of decision rules relative to length or support. However, the proposed algorithm is based on transformation of decision table into entity–attribute–value (EAV) format. Additionally, standard deviation function for computation of averages’ values of attributes in particular decision classes was introduced. It allows to select from the whole set of attributes only these which provide the highest degree of information about the decision. Construction of decision rules is performed based on idea of partitioning of a decision table into corresponding subtables. In opposite to dynamic programming approach, not all attributes need to be taken into account but only these with the highest values of standard deviation per decision classes. Consequently, the proposed solution is more time efficient because of lower computational complexity. In the framework of experimental results, support and length of decision rules were computed and compared with the values of optimal rules. The classification error for data sets from UCI Machine Learning Repository was also obtained and compared with the ones for dynamic programming approach. Performed experiments show that constructed rules are not far from the optimal ones and classification results are comparable to these obtained in the framework of the dynamic programming extension.

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Interactive (Intelligent) Integrated System for the Road Vehicles’ Diagnostics

Cited by 11 publications

References 5 publications

Circular production and maintenance of automotive parts: An Internet of Things (IoT) data framework and practice review

Circular production and maintenance of automotive parts: An Internet of Things (IoT) data framework and practice review

The Influence of Quality Management System on the Operation of Periodical Technical Inspection Stations

Decision Rules Construction: Algorithm Based on EAV Model

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