Abstract
The efficiency of technological equipment workout is determined by urgency of its maintenance. Perspective method of urgent maintenance is based on control of equipment state variability. To analyse the condition of the equipment in the real-time proposed the virtual control of equipment state variability based on Neyman-Pearson criterion. The results of data processing of oil pump unit showed the ability to detect faults at an early stage of their occurrence.
| Original language | English |
|---|---|
| Article number | 01006 |
| Journal | MATEC Web of Conferences |
| Volume | 79 |
| DOIs | |
| Publication status | Published - 11 Oct 2016 |
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ASJC Scopus subject areas
- Chemistry(all)
- Engineering(all)
- Materials Science(all)
Cite this
Virtual Analysis of Technical Equipment Operational States Variability. / Aleksandrova, Tatiana; Gromakov, Evgeny; Chugunov, Roman; Syramkin, Vladimir.
In: MATEC Web of Conferences, Vol. 79, 01006, 11.10.2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Virtual Analysis of Technical Equipment Operational States Variability
AU - Aleksandrova, Tatiana
AU - Gromakov, Evgeny
AU - Chugunov, Roman
AU - Syramkin, Vladimir
PY - 2016/10/11
Y1 - 2016/10/11
N2 - The efficiency of technological equipment workout is determined by urgency of its maintenance. Perspective method of urgent maintenance is based on control of equipment state variability. To analyse the condition of the equipment in the real-time proposed the virtual control of equipment state variability based on Neyman-Pearson criterion. The results of data processing of oil pump unit showed the ability to detect faults at an early stage of their occurrence.
AB - The efficiency of technological equipment workout is determined by urgency of its maintenance. Perspective method of urgent maintenance is based on control of equipment state variability. To analyse the condition of the equipment in the real-time proposed the virtual control of equipment state variability based on Neyman-Pearson criterion. The results of data processing of oil pump unit showed the ability to detect faults at an early stage of their occurrence.
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U2 - 10.1051/matecconf/20167901006
DO - 10.1051/matecconf/20167901006
M3 - Article
AN - SCOPUS:84992588900
VL - 79
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 01006
ER -