Uniformity testing of complex technical system operation process statistical data sets

The paper is concerned with the methods for statistical data uniformity testing and identifying unknown parameters of a general probability model of a complex technical system operation process and their practical application. The general model of a complex technical system operation process is constructed. The procedure of statistical data sets uniformity testing is proposed and applied to the empirical realizations of the system operation processes sojourn times at the operation states coming from the realizations of a maritime ferry operation process collected during spring and winter into separate two sets of data. After that, the identification of the maritime ferry technical system operation process is performed and moreover the identified process is applied to its operation characteristics prediction.

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Particle swarm optimization of a neural network model for predicting the flashover voltage on polluted cap and pin insulator

Statistical identification of complex technical system operation process

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eISSN:

2449-5220

System opracowano w ramach zadania:
„Podniesienie poziomu naukowego i poziomu umiędzynarodowienia czasopisma Diagnostyka oraz upowszechniania informacji o wynikach badań lub prac rozwojowych poprzez udział uznanych zagranicznych recenzentów w ocenie publikacji - zadanie finansowane w ramach umowy 745/P-DUN/2017. ze środków Ministra Nauki i Szkolnictwa Wyższego przeznaczonych na działalność upowszechniającą naukę”