Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/101909
Title: Methodology for Evaluating the Impact of Sudden Failures on the Reliability Parameters of the Optical Cable Damaged Section
Author(s): Zelentsov, Boris
Shuvalov, Viatcheslav
Kvitkova, Irina
Kachan, Dmitry
Granting Institution: Hochschule Anhalt
Issue Date: 2023
Extent: 1 Online-Ressource (6 Seiten)
Language: English
Abstract: An optical cable is considered as a multicomponent system, which components are elementary sections of an optical cable. During operation, due to failures of these sections, they are replaced with new ones. The reason for the failures of elementary sections, which we will call local failures, are sudden failures. In addition to sudden failures, there are gradual failures that are a consequence of the fiber aging. There is a need to replace the optical cable as a whole. Such a failure is wear-out or global. The influence of sudden failures on the reliability measures of an optical cable in the conditions of its degradation is considered. To solve this problem, a Markov reliability model was developed, on the basis of which expressions were obtained for calculating the unavailability factor, the average time of operational and inoperable states during the degradation cycle of an optical cable. Methods for determining the probabilities of transitions from one state of degradation to another are proposed. It is shown that the unavailability factor of the optical cable and the average time of operational state on one degradation cycle increase with increasing intensity of sudden failures. The optical cable reliability model presented in this paper can be useful for predicting the operating time of an optical cable.
URI: https://opendata.uni-halle.de//handle/1981185920/103860
http://dx.doi.org/10.25673/101909
Open Access: Open access publication
License: (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0(CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0
Appears in Collections:International Conference on Applied Innovations in IT (ICAIIT)

Files in This Item:
File Description SizeFormat 
1_7 ICAIIT_2023_paper_8437.pdf832.69 kBAdobe PDFThumbnail
View/Open