Open AccessCOMPUTER INFORMATION TECHNOLOGY FOR PROCESSING MEASUREMENTS IN THE TASKS OF MONITORING THE STATE OF TECHNICAL OBJECTS
Author(s) -
Valentin Malaychuk,
S. V. Klymenko,
D. Astakhov
Publication year - 2020
Publication title -
ìnformacìjnì tehnologìï v metalurgìï ta mašinobuduvannì
Language(s) - English
Resource type - Journals
ISSN - 2708-0102
DOI - 10.34185/1991-7848.itmm.2020.01.047
Subject(s) - homogeneity (statistics) , von mises yield criterion , fisher information , computer science , algorithm , information processing , state (computer science) , mathematics , statistics , engineering , structural engineering , finite element method , neuroscience , biology
The tasks of monitoring the state of complex technical objects are solved by evaluating and comparing experimental measurements. A new discrete analogue of the Smirnov-Cramer-von Mises criterion and a new discrete analogue of the Anderson criterion are proposed. Computational experiments have been carried out confirming the hypothesis that discrete models of the probability distribution function and the proposed discrete mean square of the difference in information content do not differ from the Anderson criterion and the Smirnov-Cramer-von Mises criterion, but it is much simpler in practical applications in the verification of statistical hypotheses homogeneity of short samples of experimental measurements.