Statistical control of DOF maintenance condition

Bibliographic Details
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 93: Modern Technique and Technologies (MTT'2015).— 2015.— [012053, 6 p.]
Main Author: Aleksandrova T. V. Tatyana Viktorovna
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра интегрированных компьютерных систем управления (ИКСУ)
Other Authors: Gromakov E. I. Evgeny Ivanovich
Summary: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
Published: 2015
Series:Control science and system engineering
Subjects:
Online Access:http://dx.doi.org/10.1088/1757-899X/93/1/012053
http://earchive.tpu.ru/handle/11683/20071
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=644553