Abstract
We propose a technology for calculating robust correlation matrices and robust normalized correlation matrices to indicate the beginning of the latent period of the emergency state of technological objects. For the same purpose, we also propose a technology for calculating estimates of characteristics of noise and useful signal, which assumes zero values in the normal state. Sets of informative attributes are formed from them in monitoring systems for industrial objects; while the object is in service, the number and value of the nonzero element are used to determine the location and nature of failure.
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Acknowledgments
The work has been fulfilled with the support of the Science Fund of the State Oil Company of the Azerbaijan Republic within the framework of the project “Developing a new generation control, diagnostics and management system based on the robust noise analysis of wattmeter cards of oil wells operated by sucker rod pumps.”
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Aliev, T.A., Musaeva, N.F., Nusratov, O.Q., Rzayev, A.G., Sattarova, U.E. (2016). Models for Indicating the Period of Failure of Industrial Objects. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_27
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DOI: https://doi.org/10.1007/978-3-319-32229-2_27
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