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Validity of Exponential Distribution for Modelling Inter-failure Arrival Times of Windows based Industrial Process Control Data Exchange

Year 2022, Volume: 3 Issue: 1, 1 - 8, 21.06.2022
https://doi.org/10.53525/jster.1017004

Abstract

Using a reliability function with a known classical distribution, at an instance in time, the chances of an activity success can be predicted. Based on this curve, a proper reset period can be appointed. This would help to keep the risk under control. For this purpose, a test bed mimicking the machine to machine (M2M) communication of a Digital Oil Rig is employed. It contains an Embedded Computer Server and an ordinary computer acting as a client querying data from the server. On this testbed, as the communication protocol Open Platform Communications - Unified Architecture (OPC UA) is run. In “most occasions, the arrival processes are assumed as a Poisson Arrival Process. The Question of a concern: "Is this assumption valid in case of an Embedded Computer responding to queries?". Our results indicate that the failure arrivals are independent identically distributed (IID) and can be modeled with an Exponential Distribution by accepting a reasonable error.

Supporting Institution

TUBİTAK

Project Number

KAMAK 115G007

Thanks

To everyone, whom without, wouldnt be this

References

  • [1] A. Burger, H. Koziolek, J. Ruckert, M. Platenius-Mohr, and G. Stomberg, “Bottleneck identification and performance modeling of opc ua communication models,” in Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, ser. ICPE ’19. New York, NY, USA: Association for Computing Machinery, 2019, p. 231–242.
  • [2] S. Cavalieri and F. Chiacchio, “Analysis of opc ua performances,” Computer Standards and Interfaces, vol. 36, no. 1, pp. 165 – 177, 2013.
  • [3] A. Eckhardt and S. Muller, “Analysis of the round-trip time of opc ua and tsn based peer-to-peer communication,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep. 2019, pp. 161–167.
  • [4] A. Cenedese, M. Frodella, F. Tramarin, and S. Vitturi, “Comparative assessment of different opc ua open–source stacks for embedded systems,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep. 2019, pp. 1127–1134.
  • [5] W. Kim and M. Sung, “Opc-ua communication framework for plc-based industrial iot applications: Poster abstract,” in Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, ser. IoTDI ’17. New York, NY, USA: Association for Computing Machinery, 2017, p. 327–328.
  • [6] C. V. Neu, I. Schiering, A. Zorzo. Simulating and Detecting Attacks of Untrusted Clients in OPC UA Networks. CECC 2019: Proceedings of the Third Central European Cybersecurity Conference. 2019, p.1-6.
  • [7] K. S. Trivedi, Probability and Statistics with Reliability, Queuing and Computer Science Applications, 2nd ed. GBR: John Wiley and Sons Ltd., 2001.
  • [8] A. Morato, S. Vitturi, F. Tramarin and A. Cenedese, "Assessment of Different OPC UA Implementations for Industrial IoT-Based Measurement Applications," in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021
  • [9] O. Yucesan, A. Ozkil, “Time Complexity Comparison of Stopping at First Failure and Completely Running the Test.” J Electron Test vol. 36, pp. 409–417, 2020.
  • [10] O. Yucesan, A. Özkil and E. Özbek , "A Reliability Assessment of an Industrial Communication Protocol on a Windows OS Embedded PC for an Oil Rig Control Application", Journal of Scientific, Technology and Engineering Research, vol. 2, no. 2, pp. 22-30, Dec. 2021.
  • [11] B. García-Mora, C. Santamaría Navarro, G. Rubio, Modeling dependence in the inter–failure times. An analysis in Reliability models by Markovian Arrival Processes. Journal of Computational and Applied Mathematics. 343. (2018).
  • [12] J. Matevska, E. Noack, M. Reinhold, and E. Diekmann, Decentralized Avionics and Software Architecture for Sounding Rocket Missions. In Proc. 2nd Workshop on Avionics Systems and Software Engineering Innsbruck, Austria, February 25, 2020.

Windows işletim sistemi tabanlı Endüstriyel Proses denetimleri için veri değiştokuşunda Exponansiyel Rassal Değişkenin Güvenirlik modeli olarak geçerliği

Year 2022, Volume: 3 Issue: 1, 1 - 8, 21.06.2022
https://doi.org/10.53525/jster.1017004

Abstract

Bilinen bir klasik güvenirlik dağılımı kullanılarak gelecekteki faaliyetler için hata olasılıklarının tahmini mümkündür. Eksponansiyel ve Normal değişkenin, windows tabanlı bir endüstriyel iletişim için geçerliliği gösterilmiştir.

Project Number

KAMAK 115G007

References

  • [1] A. Burger, H. Koziolek, J. Ruckert, M. Platenius-Mohr, and G. Stomberg, “Bottleneck identification and performance modeling of opc ua communication models,” in Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, ser. ICPE ’19. New York, NY, USA: Association for Computing Machinery, 2019, p. 231–242.
  • [2] S. Cavalieri and F. Chiacchio, “Analysis of opc ua performances,” Computer Standards and Interfaces, vol. 36, no. 1, pp. 165 – 177, 2013.
  • [3] A. Eckhardt and S. Muller, “Analysis of the round-trip time of opc ua and tsn based peer-to-peer communication,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep. 2019, pp. 161–167.
  • [4] A. Cenedese, M. Frodella, F. Tramarin, and S. Vitturi, “Comparative assessment of different opc ua open–source stacks for embedded systems,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep. 2019, pp. 1127–1134.
  • [5] W. Kim and M. Sung, “Opc-ua communication framework for plc-based industrial iot applications: Poster abstract,” in Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, ser. IoTDI ’17. New York, NY, USA: Association for Computing Machinery, 2017, p. 327–328.
  • [6] C. V. Neu, I. Schiering, A. Zorzo. Simulating and Detecting Attacks of Untrusted Clients in OPC UA Networks. CECC 2019: Proceedings of the Third Central European Cybersecurity Conference. 2019, p.1-6.
  • [7] K. S. Trivedi, Probability and Statistics with Reliability, Queuing and Computer Science Applications, 2nd ed. GBR: John Wiley and Sons Ltd., 2001.
  • [8] A. Morato, S. Vitturi, F. Tramarin and A. Cenedese, "Assessment of Different OPC UA Implementations for Industrial IoT-Based Measurement Applications," in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021
  • [9] O. Yucesan, A. Ozkil, “Time Complexity Comparison of Stopping at First Failure and Completely Running the Test.” J Electron Test vol. 36, pp. 409–417, 2020.
  • [10] O. Yucesan, A. Özkil and E. Özbek , "A Reliability Assessment of an Industrial Communication Protocol on a Windows OS Embedded PC for an Oil Rig Control Application", Journal of Scientific, Technology and Engineering Research, vol. 2, no. 2, pp. 22-30, Dec. 2021.
  • [11] B. García-Mora, C. Santamaría Navarro, G. Rubio, Modeling dependence in the inter–failure times. An analysis in Reliability models by Markovian Arrival Processes. Journal of Computational and Applied Mathematics. 343. (2018).
  • [12] J. Matevska, E. Noack, M. Reinhold, and E. Diekmann, Decentralized Avionics and Software Architecture for Sounding Rocket Missions. In Proc. 2nd Workshop on Avionics Systems and Software Engineering Innsbruck, Austria, February 25, 2020.
There are 12 citations in total.

Details

Primary Language English
Subjects Statistics, Automation Engineering
Journal Section Research Articles
Authors

Ongun Yucesan 0000-0003-2263-6803

Altan Özkil 0000-0001-8136-6087

Mehmet Efe Özbek 0000-0001-5216-7062

Project Number KAMAK 115G007
Publication Date June 21, 2022
Submission Date October 31, 2021
Acceptance Date December 23, 2021
Published in Issue Year 2022 Volume: 3 Issue: 1

Cite

APA Yucesan, O., Özkil, A., & Özbek, M. E. (2022). Validity of Exponential Distribution for Modelling Inter-failure Arrival Times of Windows based Industrial Process Control Data Exchange. Journal of Science, Technology and Engineering Research, 3(1), 1-8. https://doi.org/10.53525/jster.1017004
AMA Yucesan O, Özkil A, Özbek ME. Validity of Exponential Distribution for Modelling Inter-failure Arrival Times of Windows based Industrial Process Control Data Exchange. JSTER. June 2022;3(1):1-8. doi:10.53525/jster.1017004
Chicago Yucesan, Ongun, Altan Özkil, and Mehmet Efe Özbek. “Validity of Exponential Distribution for Modelling Inter-Failure Arrival Times of Windows Based Industrial Process Control Data Exchange”. Journal of Science, Technology and Engineering Research 3, no. 1 (June 2022): 1-8. https://doi.org/10.53525/jster.1017004.
EndNote Yucesan O, Özkil A, Özbek ME (June 1, 2022) Validity of Exponential Distribution for Modelling Inter-failure Arrival Times of Windows based Industrial Process Control Data Exchange. Journal of Science, Technology and Engineering Research 3 1 1–8.
IEEE O. Yucesan, A. Özkil, and M. E. Özbek, “Validity of Exponential Distribution for Modelling Inter-failure Arrival Times of Windows based Industrial Process Control Data Exchange”, JSTER, vol. 3, no. 1, pp. 1–8, 2022, doi: 10.53525/jster.1017004.
ISNAD Yucesan, Ongun et al. “Validity of Exponential Distribution for Modelling Inter-Failure Arrival Times of Windows Based Industrial Process Control Data Exchange”. Journal of Science, Technology and Engineering Research 3/1 (June 2022), 1-8. https://doi.org/10.53525/jster.1017004.
JAMA Yucesan O, Özkil A, Özbek ME. Validity of Exponential Distribution for Modelling Inter-failure Arrival Times of Windows based Industrial Process Control Data Exchange. JSTER. 2022;3:1–8.
MLA Yucesan, Ongun et al. “Validity of Exponential Distribution for Modelling Inter-Failure Arrival Times of Windows Based Industrial Process Control Data Exchange”. Journal of Science, Technology and Engineering Research, vol. 3, no. 1, 2022, pp. 1-8, doi:10.53525/jster.1017004.
Vancouver Yucesan O, Özkil A, Özbek ME. Validity of Exponential Distribution for Modelling Inter-failure Arrival Times of Windows based Industrial Process Control Data Exchange. JSTER. 2022;3(1):1-8.

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