Open AccessIntelligent analysis of the list of technological operations for the problem of developing of functional simulators stowage and installation-mooring of the landing gear
Author(s) -
Liliya Demidova,
B Yu Mordakin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1902/1/012113
Subject(s) - identification (biology) , stowage , computer science , cluster analysis , quality (philosophy) , operations research , mooring , order (exchange) , data mining , industrial engineering , engineering , machine learning , marine engineering , mechanical engineering , philosophy , botany , epistemology , finance , economics , biology
The aim of the article is to investigate the number and assortment of training solutions required to perform technical operations involved in parachute packing and landing platform mounting and mooring. The article proposes a novel approach to the identification of the number and value of the attributes of technical operations, which takes into consideration objective information and expert assessment results. The article presents an algorithm aimed at the identification of the number and assortment of training solutions based on the algorithm of DBSCAN cluster analysis and promoting the calibration of expert assessments in order to improve clustering quality. The results of experimental research prove the feasibility of dividing technical operations into clusters whose quantity and composition are predicted by experts and are practically relevant.