Open AccessDrone Fleet Survivability Evaluation Based on Lanchester’s Modified Deterministic Model
Author(s) -
Herman Fesenko,
Харченко,
Nikos Bardis,
Ah-Lian Kor,
Eugene Brezhniev
Publication year - 2020
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.156
H-Index - 13
ISSN - 1998-4464
DOI - 10.46300/9106.2020.14.99
Subject(s) - survivability , drone , residual , computer science , operations research , variance (accounting) , reliability engineering , engineering , computer network , algorithm , genetics , accounting , business , biology
An algorithmic approach for the assessment of the survivability is proposed that is based on Lanchester’s modified deterministic model. Methods are suggested for increasing the available time capability for nuclear power plant monitoring and coverage, using the required or a limited number of the operable drones,. Dependencies of the variance between the residual fleet damage and permissible drone fleet damage on monitoring time as well as dependencies of the monitoring time on the recovery group productivity are analysed.