Open AccessAutomation of Life Data Analysis Processes
Author(s) -
Jonathan W. Kramer,
Gregor Thiele,
Theresa Johanni,
Jörg Krüger
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1140/1/012022
Subject(s) - automation , computer science , weibull distribution , process (computing) , reliability (semiconductor) , statistic , reliability engineering , software , parametric statistics , implementation , software engineering , data mining , engineering , statistics , mathematics , programming language , mechanical engineering , power (physics) , physics , quantum mechanics
Life data analysis is an effective statistical process to gain information on the reliability of technical facilities. The Weibull analysis is a widely-used method for modeling the probabilities of different functional failures. For its application in modern manufacturing and maintenance processes, an automation of this analysis is expedient. An exemplary process of data collection and fitting of a parametric model with continuous time scale is analyzed in this article. Its automation with different statistic software tools is described and comparatively evaluated. With the ambition of minimizing manual effort in the process, a highly automated solution was developed in this research. We describe this self-implemented solution in “R” and justify that this procedure automatizes the process more than the examined commercial implementations. The here presented work proves to be a practical real-time assistance, right now applied in aircraft maintenance.