
Human reliability increasing approach in aircraft maintenance technician’s training process
Author(s) -
Angel Tanev
Publication year - 2021
Publication title -
aerospace research in bulgaria
Language(s) - English
Resource type - Journals
eISSN - 2367-9522
pISSN - 1313-0927
DOI - 10.3897/arb.v33.e15
Subject(s) - technician , reliability (semiconductor) , reliability engineering , process (computing) , maximization , aircraft maintenance , training (meteorology) , fault (geology) , failure rate , computer science , control (management) , engineering , risk analysis (engineering) , aeronautics , business , artificial intelligence , power (physics) , physics , quantum mechanics , seismology , geology , meteorology , electrical engineering , operating system , economics , microeconomics
This article presents an approach for increasing the maintenance technician’s reliability by considering the human fault rate as utility function’s maximization problem in the technician’s training process. Adequately trained technicians are capable to perform a maintenance and manage the reliability of their assigned assets within the complex aircraft systems. In general, a degradation of aircraft reliability, due to maintenance tecnician’s competency, typically leads to significant, undesirable safety and economic consequences. In this article, an optimal control theory is applied on the purpose of finding of a fault rate reduction series in the training process which leads to highest technician’s reliability in the maintenance process of the complex aircraft systems.