T.A. Aliev, N.F. Musaeva, M.T. Suleymanova
Algorithms for determining the confidence interval of the estimates of distribution density of the noise of a noisy signal


The authors propose algorithms and technologies for determining the confidence interval of the estimates of distribution density of the noise in the general population and by a sample of the stochastic process. It is noted that these algorithms can be used to indicate the early period of the initiation of a fault and the dynamics of its development in monitoring, control and diagnostic systems in various industries.

Keywords: Noise, Noisy signal, Noise distribution density, Confidence interval, General population, Sample, Control, Diagnostics, Fault monitoring, Defect development dynamics
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