Statistical Modeling and Forecasting of Operational Reliability of Induction Motors of Mining Dump Trucks; Mathematics; Vol. 14, iss. 4

Bibliographic Details
Parent link:Mathematics.— .— Basel: MDPI AG
Vol. 14, iss. 4.— 2026.— Article number 706, 46 p.
Other Authors: Pryalukhin A. F. Aleksey Fedorovich, Martyushev N. V. Nikita Vladimirovich, Malozemov B. V. Boris Vitaljevich, Demin A. Yu. Anton Yurievich, Pogrebnoy A. V. Aleksandr Vladimirovich, Kuleshova E. E. Elizaveta Evgenjevna, Valuev D. V. Denis Viktorovich
Summary:Title screen
This study presents a statistical modeling approach for predicting the operational reliability of induction motors used in dump truck drives. The proposed method uses censored data, including both time to failure and data on properly operating engines, to assess reliability indicators, such as uptime based on Weibull and lognormal distributions. A generalized “life curve” of the stator and bearing unit is constructed, which makes it possible to determine interval estimates of the service life and residual service life. The model is implemented as software for calculating distribution parameters and visualizing reliability dependencies. Approbation based on the operational data of quarry transport confirmed the applicability of the proposed approach for diagnosing and optimizing the maintenance system of induction motors of heavy equipment
Текстовый файл
Language:English
Published: 2026
Subjects:
Online Access:https://doi.org/10.3390/math14040706
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=685387

MARC

LEADER 00000naa0a2200000 4500
001 685387
005 20260311095023.0
090 |a 685387 
100 |a 20260311d2026 k||y0rusy50 ba 
101 0 |a eng 
102 |a CH 
135 |a drcn ---uucaa 
181 0 |a i   |b  e  
182 0 |a b 
183 0 |a cr  |2 RDAcarrier 
200 1 |a Statistical Modeling and Forecasting of Operational Reliability of Induction Motors of Mining Dump Trucks  |f A. F. Pryalukhin, N. V. Martyushev, B. V. Malozyomov [et al.] 
203 |a Текст  |b визуальный  |c электронный 
283 |a online_resource  |2 RDAcarrier 
300 |a Title screen 
320 |a References: 67 tit 
330 |a This study presents a statistical modeling approach for predicting the operational reliability of induction motors used in dump truck drives. The proposed method uses censored data, including both time to failure and data on properly operating engines, to assess reliability indicators, such as uptime based on Weibull and lognormal distributions. A generalized “life curve” of the stator and bearing unit is constructed, which makes it possible to determine interval estimates of the service life and residual service life. The model is implemented as software for calculating distribution parameters and visualizing reliability dependencies. Approbation based on the operational data of quarry transport confirmed the applicability of the proposed approach for diagnosing and optimizing the maintenance system of induction motors of heavy equipment 
336 |a Текстовый файл 
461 1 |t Mathematics  |c Basel  |n MDPI AG 
463 1 |t Vol. 14, iss. 4  |v Article number 706, 46 p.  |d 2026 
610 1 |a induction motor 
610 1 |a mining dump truck 
610 1 |a reliability forecasting 
610 1 |a statistical modeling 
610 1 |a residual life 
610 1 |a life curve 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
701 1 |a Pryalukhin  |b A. F.  |g Aleksey Fedorovich 
701 1 |a Martyushev  |b N. V.  |c specialist in the field of material science  |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences  |f 1981-  |g Nikita Vladimirovich  |9 16754 
701 1 |a Malozemov  |b B. V.  |g Boris Vitaljevich 
701 1 |a Demin  |b A. Yu.  |c specialist in the field of Informatics and computer engineering  |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences  |f 1973-  |g Anton Yurievich  |9 17327 
701 1 |a Pogrebnoy  |b A. V.  |c specialist in the field of Informatics and computer engineering  |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences  |f 1973-  |g Aleksandr Vladimirovich  |9 17310 
701 1 |a Kuleshova  |b E. E.  |g Elizaveta Evgenjevna 
701 1 |a Valuev  |b D. V.  |c specialist in the field of metal working  |c Associate Professor of Yurga technological Institute of Tomsk Polytechnic University, Candidate of technical sciences  |f 1980-  |g Denis Viktorovich  |9 16748 
801 0 |a RU  |b 63413507  |c 20260311 
850 |a 63413507 
856 4 0 |u https://doi.org/10.3390/math14040706  |z https://doi.org/10.3390/math14040706 
942 |c CF