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Articles by keyword predictive maintenance
Increasing technical diagnostic efficiency on the basis of bayesian decision making procedures
I. V. Shalashov
System monitoring and diagnostics of paper machine
M.V. Ovsyannikov - Ph.D. (Eng.), Associate Professor, Perm National Research Polytechnic University. E-mail: mvo50@mail.ru K.I. Stolyarov - Master, Bauman Moscow State Technical University. E-mail: bmstukirill@gmail.com S.A. Bukhanov - Assistant, Bauman Moscow State Technical University. E-mail: bukhanov@yandex.ru A.B. Petrochenkov - Ph.D. (Eng.), Associate Professor, Perm National Research Polytechnic University. E-mail: pab@msa.pstu.ru S.V. Bochkarev - Dr.Sc. (Eng.), Professor, Perm National Research Polytechnic University. E-mail: bochkarev @msa.pstu.ru
Methodology of data processing of the control and diagnostic system to maintain the energy potential of the long-range radar station

A.Yu. Perlov1, V.A. Pankratov2, A.V. Timoshenko3, V.B. Tikhonov4

1–3 “Academician A.L. Mints Radiotechnical Institut” JSC (Moscow, Russia)
4 Yaroslavl Higher Military School of Air Defense (Yaroslavl, Russia)
 

Operational Control System of Technological Equipment Using Augmented Reality Technology

O.V. Drozd1

1 Siberian Federal University (Krasnoyarsk, Russia)
1 odrozd@sfu-kras.ru

Data modeling for machine learning-based fault detection and prediction in building life support systems

A. Dahe1, V.V. Stuchilin2
1, 2 National University of Science and Technology «MISIS» (Moscow, Russia)

1 m2112269@edu.misis.ru, 2 stuchilin.vv@misis.ru

A mathematical model for reducing uncertainty based on Dempster–Shafer theory at the level of data collection and aggregation in automated predictive maintenance systems

A.U. Chesalov1

1 CEO Atlansis Software (Tver, Russia)
1 achesalov@mail.ru