Increasing the Stability of a Spatially Distributed Information System using a Robust Algorithm for Filtering Anomalous Measurements

Mikhail Vasilchenko, Alexey Zavyalov, Konstantin Zhuchkov

Abstract


The paper presents a solution to the problem of monitoring the operation of the spatially distributed information system, which processes an array of heterogeneous data. The algorithm is described for filtering out anomalous measurements of time delays in executing Oracle database procedures. The use of this approach in the information system for assessing the technical condition of technological facilities of Gazprom showed a significant gain in the quality of the system administration and allowed identifying "bottlenecks" in its operation. A mathematical model is described that includes both the noise component of the measured delay values and anomalous measurements caused by irregular external influences. A software module for filtering anomalous measurements based on the proposed algorithm has been developed, which increases the stability of the system and improves the quality of management decision-making in the corporation.

Keywords


binary problem, database, information system, robust algorithm, statistical analysis, the anomalous measurements.

References


Zavyalov A.P. (2018). ‘Analysis of modern trends of repair-technical and diagnostic services development of oil and gas production companies’. Equipment and technologies for oil and gas complex. 6, pp. 67 – 72. DOI: 10.30713/1999-6934-2018-6-67-72.

Khasanov M.M., Maksimov Yu.V., Skudar O.O., Mozhchil A.F., Starostenko R.V., Vershinin S.A., Pashkevich L.A., Tretiakov S.V. (2019). ‘Value-driven engineering in Gazprom Neft’. Oil industry. 12, pp. 6 – 11. DOI: 10.24887/0028-2448-2019-12-6-11.

Martynov A.I., Khalikov R.R., Zavyalov A.P. (2019). ‘Methods and technologies to improve the efficiency of diagnostic service of gas production fields’. Equipment and technologies for oil and gas complex. 2 (110), pp. 49 – 53. DOI: 10.33285/1999-6934-2019-2(110)-49-53.

NedelchenkoS.I., Gaifullin M.S., Golovina E.S., ErgomyshevYu.A., Lavrentiev V.A., Komogorov A.V. (2020). ‘Criteria for choosing a process control system’. Oil industry. 2. Pp. 90 – 33. DOI: 10.24887/0028-2448-2020-2-90-93.

Zavyalov A.P. (2020). ‘Diagnostic maintenance of oil and gas production equipment pipelines under a risk-based approach to operation’. Equipment and technologies for oil and gas complex. 3(117). pp. 79 – 81. DOI: 10.33285/1999-6934-2020-3(117)-79-81.

Martynov V.G., Oganov A.S., Sheinbaum V.S. (2020). ‘Digital educational technologies in teaching students at gubkin university’. Oil industry. 3. Pp. 9 – 13. DOI: 10.24887/0028-2448-2020-3-9-13.

Sifonte J.R. (2017). ‘What about RCM-R®? How does it stand when compared with SAE JA1011?’ Conscious Reliability (Electronic resource). https://consciousreliability.com/blog-2/

Nowlan F.S., Heap H.F. (1978). ‘Reliability-centered Maintenance’. San Francisco: Dolby Access Press.

Moubray J. (1997). ‘Reliability-centered Maintenance. Second Edition’. NY: Industrial Press Inc.

Zhuchkov K. N., Shuvaeva V. A., Yagi K. and Terauchi H. (2001). ‘Deglitching Procedure for XAFS’. J. Synchrotron Rad. 8, pp 302-304. https://doi.org/10.1107/S0909049500020951

Terauchi H., Bobrova N., Sasorov P., Kikuchi T., Sasaki T., Higashiguchi T., Yugami N. and Kodama R. (2011). ‘Observation and numerical analysis of plasma parameters in a capillary discharge-produced plasma channel waveguide’. Journal of Physics D: Applied Physics, 109, 053304. https://doi.org/10.1063/1.3560529

Han S. Uhm, Dong G. Jang, Min S. Kim, Hyyong Suk. (2012). ‘Density dependence of capillary plasma on the pressure and applied voltage’. Physics of Plasmas 19(2), 024501. DOI: 10.1063/1.3672514

Zhuravleva A. (2014). ‘Orgenergogaz developed cloud in Oracle platform’. MSKit.ru (Electronic resource in Russian). http://www.mskit.ru/news/n170577/

Plesnyaev V.A., Zhuchkov K.N. (2019). ‘Development of Infotech information system of technical state assessment’. Equipment and technologies for oil and gas complex. 2(110). Pp. 34 – 37. DOI: 10.33285/1999-6934-2019-2(110)-34-37.

Plesnyaev V.A., Zhuchkov K.N. (2014). ‘Unified cloud management platform for development’. Gas industry. 5. Pp. 10-13.

Bhoola, V., Hiremath, S. B., & Mallik, D. (2014). ‘An Assessment of risk response strategies practiced in software projects’. Australasian Journal of Information Systems, 18(3). https://doi.org/10.3127/ajis.v18i3.923

Kautz, K., Bjerknes, G., Fisher, J., & Jensen, T. (2020). ‘Applying Complex Adaptive Systems Theory to Understand Distributed Participatory Design in Crowdsourced Information Systems Development’. Australasian Journal of Information Systems, 24. https://doi.org/10.3127/ajis.v24i0.2225

Joannou P. (2007). ‘Enterprise, Systems, and Software Engineering. The Need for Integration’. Computer. 40 (5). p. 103. doi:10.1109/mc.2007.167

Meso, P., and Jain, R. (2006). ‘Agile Software Development: Adaptive Systems Principles and Best Practices’. Information Systems Management, 23(3), pp. 19-30, DOI: 10.1201/1078.10580530/46108.23.3.20060601/93704.3

Van Trees H. (1968). ‘Detection, Estimation, and Modulation Theory’, Part I. New York: John Wiley and Sons.

Neyman, J.; Pearson, E. S. (1933). ‘IX. On the problem of the most efficient tests of statistical hypotheses’. Phil. Trans. R. Soc. Lond. A. 231 (694–706). Pp. 289–337. https://royalsocietypublishing.org/doi/10.1098/rsta.1933.0009

Fujikoshi Y., Ulyanov V. V., Shimizu R., (2010) ‘Multivariate statistics. High-dimensional and large-sample approximations’, Wiley Ser. Probab. Stat., John Wiley & Sons, Inc., Hoboken, NJ.

Pavlov I. (2018) ‘New family of one-step processes admitting special interpolating martingale measures’. Global and Stochastic Analysis, 5(2), pp. 111–119 https://www.mukpublications.com/resources/Ch_3_F%20-%20Pavlov_F.pdf

Kay S.M. (1985). ‘Fundamentals of Statistical Signal Processing: Estimation Theory’. – NJ.: Prentice Hall PTR.

Hang Su , Yingbai Hu , Karimi H.R., Knoll A. , Ferrigno G., De Momi E. (2020). ‘Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results’ Neural netw.Nov;131:291-299. doi: 10.1016/j.neunet.2020.07.033

Wen Qi, Hang Su, Aliverti A. (2020) ‘A smartphone-based adaptive recognition and real-time monitoring system for human activities’. IEEE Transactions on Human-Machine Systems, 5 (50), pp. 414-423 DOI:10.1109/THMS.2020.2984181

Hang Su, Wen Qi, Chenguang Yang, Arevalo J. (2020). ‘Deep neural network approach in robot tool dynamics identification for bilateral teleoperation’. IEEE Robotics and Automation Letters, 5-2, pp. 2943-2949. DOI: 10.1109/LRA.2020.2974445

Jen-Feng Huang, Wei Li, Guey-Yun Chang, Hung-Lin Chen, Shin-Fa Huang (2014). ‘A RSS-Inconsistency Detection Method for Sequence-Based Localisation Algorithms’. IT in industry, 2(2), pp 51-55

Faizi S. and Rahman S. (2019). ‘Securing Cloud Computing Through IT Governance’. IT in industry, 7(1), pp 2-14


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