FUNCTIONAL RESONANCE ANALYSIS METHOD MODELLING OF THE CAR SAFETY CONTROL

ABSTRACT

Sakhno V.P., Poliakov V.M., Sakno O.P., Kolesnikova T.M. Functional Resonance Analysis Method modelling of the car safety control. Visnyk National Transport University. Series «Technical sciences». Scientific and Technical Collection. - Kyiv: National Transport University, 2020. - Issue 1 (46).

In the article, the car safety control is simulated because of the change of its technical condition during operation using the functional resonance analysis method.

The object of the study is car safety control because of the change of its technical condition during operation using the functional resonance analysis method.

The purpose of the article, based on the method of functional resonance analysis, is to simulate the car safety control because of the change of its technical condition, which affects the deterioration of steerability, stability, smoothness and unning characteristics during operation.

The research method is simulation modeling.

To ensure the proper technical condition of the car, the technology of its maintenance has been analyzed. The practical processing of statistics is implemented using the ResilienceDS tool.

On the basis of statistical data, the reasons for changing the technical condition of the running gear of the car and their influence on the operational properties were analyzed.

ResilienceDS hardware is used to achieve this goal. Such a tool allowed us to model the socio- technical system "Human-Car-Organization of maintenance system" and to form formal models for the continuous evaluation of the stability and conditions of increasing the operation of cars.

The data collected on the service station of cars was used to develop a maintenance model by the functional resonance analysis method. The model consists of a set of features that describe the steps taken to service a car.

Simulation of the influence of the running gear technical condition on the performance of the car by the functional resonance analysis method has certainly revealed that car maintenance is a complex activity. The model by the functional resonance analysis method gave an idea of how successful and high-quality car maintenance works depend on the complex interaction of several of its parts that work in the technical system. Relationships are so complex that they are almost impossible to perceive. Thus, the important socio- technical mechanisms of the system "Human-Car-Organization of maintenance system" that regulate the relationship between functions. These can be informal, human mechanisms or specific tools, such as the level of technical condition of the car, the technological process of service, instructions and regulations of the repair team. The simulation of the influence of the technical condition of the undercarriage on the performance of the car by the functional resonance analysis method showed that considerable attention should be paid to elemental diagnostics. The performance of these functions is based more on current knowledge of the design of a new generation car and its maintenance technology, thus, may be more volatile.

KEYWORDS: VEHICLE, CONTROL, SAFETY, TECHNICAL CONDITION, MAINTENANCE SYSTEM, FUNCTIONAL RESONANCE ANALYSIS METHOD

REFERENCES

  1. Hollnagel E. From FRAM (Functional Resonance Accident Model) to FRAM (Functional Resonance Analysis Method). Presentation at the FRAM workshop, Ecole des Mines de Paris - Centre for Research on Risk and Crises (CRC) 20-22 February, Sophia Antipolis, France, 2008.
  2. Braithwaite J., Wears R. L., Hollnagel E. Resilient health care: turning patient safety on its head. International Journal for Quality in Health Care, Volume 27, Issue 5, October 2015, pp. 418-420, https://doi.org/10.1093/intqhc/mzv063
  3. Anderson J.E., Kodate N. Learning from patient safety incidents in incident review meetings: organisational factors and indicators of analytic process effectiveness. Saf. Sci. 80, 2015. pp. 105-114.
  4. Clay-Williams R., Hounsgaard J., Hollnagel E. Where the rubber meets the road: using FRAM to align work-as-imagined with work-as-done when implementing clinical guidelines. Implement. Sci., 10 (1), 2015, 125.
  5. Pickup L., Atkinson S., Hollnagel E. et al. Blood sampling - two sides to the story. Ergon. 59, 2017.pp.234-242.
  6. Raben D.C., Bogh S.B., Viskum B. et al. Proposing leading indicators for blood sampling: application of a method based on the principles of resilient healthcare. Technol. Work, 19 (4), 2017. pp. 809-817.
  7. Herrera I.A., Woltjer R. Comparing a multilinear (STEP) and systemic (FRAM) method for accident analysis. Reliability Engineering and System Safety, 95, 2010, pp. 1269-1275.
  8. Rutkowska P., Krzyzanowski M. FRAM modelling of the transfer of control over aircraft. Scientific Journal of Silesian University of Technology. Series Transport, 101, 2018, pp. 159-166.
  9. Davis J. P., Hall J. W. A software-supported process for assembling evidence and handling uncertainty in decision-making. Decision Support Systems, 35(3), 2003, pp. 415-433.
  10. Sakno O. P. Upravlinnya resursom shy'n zasobiv transportu za raxunok udoskonalennya kontrolyu znosu protektora [Managing resources tires of transport by improving monitoring tread wear [Text]: Dis. ... candidate. Sc. Sciences: 05.22.20 / Sakno Olga; Shidnoukr. nat. University of them. Vladimir Dahl]. - Lugansk, 2013. - 216. [in Ukrainian].
  11. Mihaylov A. N. Osnovyi sinteza funktsionalno-orientirovannyih tehnologiy mashinostroeniya [Basics of the synthesis of function-oriented engineering technologies]. Moscow: Mashinostroenie, 2009. 346 p. [in Russian].

AUTHOR

Sakhno Vladimir Prokhorovich, Doctor of Engineering, professor, National transport university, head of the department «Avtomobili», e-mail: sakhno@i.ua, ph. +38(044)280-42-52, Ukraine, 01010, Kyiv, Omelianovycha-Pavlenka Str., 1, of. 301, orcid.org/0000-0002-5144-7131

Poliakov Viktor Mihailovih, Doctor of Engineering, assistant of professor, National transport university, professor of Avtomobili chair, e-mail: poljakov_2006@ukr.net, ph. +38(044)280-42-52, Ukraine, 01010, Kyiv, Omelianovycha-Pavlenka Str., 1, of. 301,orcid.org/0000-0001-7042-3066

Sakno Olha Petrivna, candidate of technical Sciences (PhD), Prydniprovs'ka State Academy of Civil Engineering and Architecture, assistant of professor of the Department of Operation and Maintenance of Machines, e-mail: sakno-olga@ukr.net, ph. +38-050-29-55-116, Ukraine, 49600, Dnipro, Chernyshevsky Str., 24A, orcid.org/0000-0003-4672-6651

Kolesnikova Tetiana Mikolaivna, candidate of technical Sciences (PhD), Prydniprovs'ka State Academy of Civil Engineering and Architecture, assistant of professor of the Department of Operation and Maintenance of Machines, e-mail: tnk1403@ukr.net, Ukraine, 49600, Dnipro, Chernyshevsky Str., 24A, orcid.org/0000-0002-8568-4688

REVIEWER

Hutareych Yu.F., Ph.D., Engineering (Dr.), professor, National Transport University, head of the Department of engines and heat engineering, Kyiv, Ukraine.

Kravchenko A.P., Ph.D., Engineering (Dr.), professor, Zhytomyr Polytechnic state university, head of the department of automobiles and transport technologies, Zhytomyr, Ukraine

Article language: Ukrainian

Open Access: http://publications.ntu.edu.ua/visnyk/46/293.pdf

Print date: 15.04.2020

Online publication date: 27.10.2020

 

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