Abstract
The article describes the approach to the formation of a simulation model of information signals, which are typical for objects with different types of defects. The dispersive analysis of the signal spectrum components in the bases of the discrete Hartley transform and the discrete cosine transform is carried out. The analysis of the form of the reconstructed information signal is carried out depending on the number of coefficients of the spectral alignment in Hartley bases and cosine functions. The basis of orthogonal functions of a discrete argument is obtained, which can be used for the spectral transformation of information signals of a flaw detector. A method of simulation of information signals has been developed and experimentally investigated, which allows taking into account the deterministic and random components of the characteristics of real information signals. References 24, figures 13, tables 3.
Publisher
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference24 articles.
1. 1. Chennai S. Efficient Control Scheme for Five-level (NPC) Shunt Active Power Filters Based on Fuzzy Control Approaches. Periodica Polytechnica Electrical Engineering and Computer Science. 2016. Vol. 60. No 2. Pp. 135-142. DOI: https://doi.org/10.3311/PPee.9015
2. 2. Widolo A., Kim E.Y., Son J.-D., Yang B.-S., Tan A.C.C., Gu D.-S., Choi B.-K., Mathew J. Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine. Expert Systems with Applications. 2009. Vol. 36. No 2. Pp. 7252-7261. DOI: https://doi.org/10.1016/j.eswa.2008.09.033
3. 3. Maanami Y., Manacer A. Modeling and Diagnosis of the Inter-Turn Short Circuit Fault for the Sensorless Input-Output Linearization Control of the PMSM. Periodica Polytechnica Electrical Engineering and Computer Science. 2019. Vol. 63. No 3. Pp. 159-168. DOI: https://doi.org/10.3311/PPee.13658.
4. 4. Yan R., Gao R.X., Chen X. Wavelets for fault diagnosis of rotary machines: A review with applications. Signal Processing. 2013. Vol. 96(A). Pp. 1-15. DOI: https://doi.org/10.1016/j.sigpro.2013.04.015
5. 5. Babak S., Babak V., Zaporozhets A., Sverdlova A. Method of statistical spline functions for solving problems of data approximation and prediction of objects state. CEUR Workshop Proceedings. 2019. Vol. 2353. Pp. 810-821. URL: http://ceur-ws.org/Vol-2353/paper64.pdf (accessed at 15.01.2020)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献