Statistical control of DOF maintenance condition

Bibliografische gegevens
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 93: Modern Technique and Technologies (MTT'2015).— 2015.— [012053, 6 p.]
Hoofdauteur: Aleksandrova T. V. Tatyana Viktorovna
Coauteur: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Andere auteurs: Gromakov E. I. Evgeny Ivanovich
Samenvatting:Title screen
This work aims to develop and rationale statistical and control tools set to ensure correct interpretation of measurements and data received from cluster well in the automated mode. Robust procedure is offered for control chart interpretation that allows maximizing the determination of real faults and minimizing false alarms counts.
Режим доступа: по договору с организацией-держателем ресурса
Taal:Engels
Gepubliceerd in: 2015
Reeks:Control science and system engineering
Onderwerpen:
Online toegang:http://dx.doi.org/10.1088/1757-899X/93/1/012053
http://earchive.tpu.ru/handle/11683/20071
Formaat: Elektronisch Hoofdstuk
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=644553
Omschrijving
Samenvatting:Title screen
This work aims to develop and rationale statistical and control tools set to ensure correct interpretation of measurements and data received from cluster well in the automated mode. Robust procedure is offered for control chart interpretation that allows maximizing the determination of real faults and minimizing false alarms counts.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.1088/1757-899X/93/1/012053