Automating studies of the technical state of dangerous mechanical systems

Autor:	O. A. Nikolaichuk
Rok vydání:	2008
Předmět:	Mechanical system Identification (information) Engineering Process (engineering) business.industry Mechanical Engineering Systems engineering State (computer science) Safety Risk Reliability and Quality business Automation Industrial and Manufacturing Engineering Reliability (statistics)
Zdroj:	Journal of Machinery Manufacture and Reliability. 37:597-602
ISSN:	1934-9394 1052-6188
DOI:	10.3103/s1052618808060125
Popis:	Automation of the process of studying the dynamics of the technical state of dangerous machines and constructions by combined application of object-oriented modeling of data and knowledge, model- and precedent-based reasoning, and mathematical modeling is suggested. Automation ensures the efficient performance of preproject studies and also the timely interpretation of parameters of the technical state and identification of failure and damage precursors at the stage of operation, aimed at ensuring reliability and technogenic safety.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3537c650aa82ece175cda0a78fd31998 https://doi.org/10.3103/s1052618808060125 Zobrazit plný text záznamu Full text from SpringerLink