Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors
Increasing the efficiency and reliability of modern railway transport is accompanied by an increase in monitoring and diagnostic systems for the current state of electric drives. Modern railway transport contains a large number of induction motors to ensure the operation of the drives of various mec...
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| Published in | Energies (Basel) Vol. 16; no. 19; p. 6888 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.10.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1996-1073 1996-1073 |
| DOI | 10.3390/en16196888 |
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| Abstract | Increasing the efficiency and reliability of modern railway transport is accompanied by an increase in monitoring and diagnostic systems for the current state of electric drives. Modern railway transport contains a large number of induction motors to ensure the operation of the drives of various mechanisms. In the article, based on the operational statistics of engine failures and the proposed scheme for diagnosing them, studies were carried out and a model was developed for assessing the reliability of a transport system equipped with an on-board diagnostic system for the current state. When building the models, the Markov method was used, including the construction of graphs for the five most relevant states of the induction electric motor during operation. The results obtained are relevant for evaluating the effectiveness of using the built-in diagnostic system and scheduling routine maintenance, which will affect the efficiency of railway transport. Based on the process of the diagnosis of railway transport systems with induction motors, five operating states of the object studied were interpreted: the state of full operation, state “S0”; the state of incomplete serviceability, state “S1”; critical serviceability, state “S2”; the state of the pre-damage condition, state “S3”; the state of unserviceability (defect), state “S4”. Subsequently, a five-state model of the operation process of railway transport systems with induction motors was developed. This model is also described by equations of state: Kolmogorov–Chapman equations. The reliability quantities determined form the basis for simulation reliability studies. The effect of the simulation study is the reliability quantities determined in the form of reliability functions and probabilities of the occurrences of the operating states of railway transport systems with induction motors; an important part of the reliability study of the system examined is to estimate the times of the occurrences in the object studied of the operating states in the future. |
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| AbstractList | Increasing the efficiency and reliability of modern railway transport is accompanied by an increase in monitoring and diagnostic systems for the current state of electric drives. Modern railway transport contains a large number of induction motors to ensure the operation of the drives of various mechanisms. In the article, based on the operational statistics of engine failures and the proposed scheme for diagnosing them, studies were carried out and a model was developed for assessing the reliability of a transport system equipped with an on-board diagnostic system for the current state. When building the models, the Markov method was used, including the construction of graphs for the five most relevant states of the induction electric motor during operation. The results obtained are relevant for evaluating the effectiveness of using the built-in diagnostic system and scheduling routine maintenance, which will affect the efficiency of railway transport. Based on the process of the diagnosis of railway transport systems with induction motors, five operating states of the object studied were interpreted: the state of full operation, state “S0”; the state of incomplete serviceability, state “S1”; critical serviceability, state “S2”; the state of the pre-damage condition, state “S3”; the state of unserviceability (defect), state “S4”. Subsequently, a five-state model of the operation process of railway transport systems with induction motors was developed. This model is also described by equations of state: Kolmogorov–Chapman equations. The reliability quantities determined form the basis for simulation reliability studies. The effect of the simulation study is the reliability quantities determined in the form of reliability functions and probabilities of the occurrences of the operating states of railway transport systems with induction motors; an important part of the reliability study of the system examined is to estimate the times of the occurrences in the object studied of the operating states in the future. |
| Audience | Academic |
| Author | Gubarevych, Oleg Paś, Jacek Stawowy, Marek Zajkowski, Konrad Duer, Stanisław Bernatowicz, Dariusz Melkonova, Inna Woźniak, Marek Rokosz, Krzysztof |
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| Cites_doi | 10.1007/978-0-85729-694-8 10.1016/j.ress.2023.109411 10.1109/TSG.2021.3084935 10.1016/S0925-5273(97)00054-6 10.1016/j.apenergy.2019.04.076 10.14429/dsj.59.1526 10.3390/app13095457 10.1016/j.enconman.2019.02.080 10.1016/j.ejor.2011.10.025 10.1016/j.energy.2016.05.068 10.1051/matecconf/201815704002 10.3390/app10165710 10.1049/iet-gtd.2020.0127 10.1109/CCDC.2015.7162831 10.1109/EI2.2018.8582403 10.1016/j.trb.2014.01.009 10.1007/978-3-642-21578-0_1 10.1007/978-1-84996-232-2 10.1016/j.ijengsci.2021.103522 10.1016/j.ress.2023.109165 10.1007/s40031-020-00473-6 10.1080/15435075.2018.1529593 10.1007/s00521-009-0325-4 10.1109/41.873206 10.3390/en13102437 10.3390/en14175549 10.1051/matecconf/201817807003 10.1016/j.apenergy.2022.118683 10.1007/s11668-022-01445-2 10.1007/978-3-319-16910-1 10.1007/s11831-018-9286-z 10.1201/9781420080834 10.1016/j.ress.2021.107638 10.23919/CCC50068.2020.9189631 10.1088/1757-899X/664/1/012029 10.1007/s10559-018-0068-2 10.1016/j.trc.2021.103167 10.1016/j.cie.2018.05.001 10.3390/en14082153 10.29354/diag/156382 10.1088/2631-8695/acde46 10.1016/S0951-8320(00)00007-7 10.3390/en16135109 10.1007/s42835-022-01342-6 10.1016/j.ress.2005.03.014 10.1080/01430750.2018.1451379 10.1016/j.enpol.2017.08.041 10.17531/ein.2017.3.8 10.14429/dsj.60.84 10.1016/j.trpro.2014.10.044 10.3390/infrastructures7090124 10.1016/j.cie.2020.106436 10.1109/ICIEAM.2019.8743076 10.1007/978-3-642-22904-6 10.1002/9781119167020 10.29354/diag/147462 10.3390/en14092727 10.3390/en15113860 10.1109/ICSCAN53069.2021.9526443 10.1007/s11633-018-1133-z 10.1016/j.enconman.2020.112807 10.1109/ACCESS.2021.3084368 10.1109/MEMSTECH55132.2022.10002909 10.1007/s00521-011-0788-y 10.1109/TPEL.2018.2870982 10.3390/sym14071305 10.1016/j.physa.2023.128793 10.1002/qre.1738 10.3390/en16134995 10.1109/TPWRS.2019.2899983 10.3390/en14020486 10.1109/ICIEA51954.2021.9516270 10.1016/j.ymssp.2017.01.046 10.1016/j.eswa.2023.119767 10.1016/j.energy.2022.123395 10.1016/j.ress.2022.108725 10.1007/s00202-021-01383-6 10.1109/IAEAC47372.2019.8998063 10.1109/ICOECS52783.2021.9657352 10.3390/en14092719 10.3103/S1068371215070093 10.1016/j.ijpe.2010.07.038 |
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| References | Duer (ref_12) 2009; 59 ref_93 ref_92 ref_90 Corman (ref_67) 2021; 128 Gubarevych (ref_91) 2022; 23 Caputo (ref_61) 2023; 222 ref_98 Zhou (ref_35) 2019; 248 Huynh (ref_59) 2012; 218 ref_19 Wu (ref_18) 2021; 12 ref_16 ref_15 Kostanovsky (ref_76) 2019; 3 Cheng (ref_58) 2010; 128 Liang (ref_83) 2023; 234 Krzykowski (ref_26) 2017; 110 ref_25 Duer (ref_11) 2010; 60 ref_21 ref_29 Duer (ref_10) 2013; 22 Erguido (ref_56) 2020; 144 ref_72 Volna (ref_78) 2018; 157 ref_71 Peng (ref_79) 2016; 32 Sheikh (ref_84) 2022; 22 ref_75 ref_74 Liu (ref_23) 2019; 187 ref_73 Gyftakis (ref_96) 2017; 93 Sun (ref_63) 2006; 91 Gubarevych (ref_85) 2022; 67 BLobov (ref_20) 2015; 86 ref_87 Fuhg (ref_46) 2022; 167 Lyu (ref_81) 2023; 238 Wei (ref_95) 2020; 14 Giacco (ref_57) 2014; 3 Abdellah (ref_97) 2023; 18 ref_50 Zhu (ref_17) 2022; 312 Jahid (ref_28) 2019; 16 Stasiuk (ref_33) 2018; 54 ref_54 ref_53 Liu (ref_38) 2016; 115 ref_51 Gao (ref_37) 2022; 247 Nazarizadeh (ref_62) 2022; 227 Luo (ref_68) 2023; 621 Dai (ref_45) 2019; 34 ref_69 Cacchiani (ref_65) 2014; 63 Ghorani (ref_31) 2021; 9 Puzyr (ref_52) 2019; 664 ref_64 Mira (ref_55) 2020; 14 Marseguerra (ref_60) 2000; 68 Benbouzid (ref_94) 2000; 47 Goolak (ref_88) 2023; 5 Duer (ref_13) 2010; 19 Stawowy (ref_14) 2014; 7 Yan (ref_82) 2021; 212 Kozyra (ref_34) 2021; 104 Li (ref_49) 2018; 34 ref_36 ref_32 ref_30 Lingaitis (ref_77) 2014; 16 Duer (ref_100) 2018; 178 Azaza (ref_22) 2020; 213 Gubarevych (ref_99) 2021; 5 Abdelhak (ref_89) 2022; 23 He (ref_40) 2019; 16 ref_47 Pokoradi (ref_70) 2015; 5 Rashidnejad (ref_80) 2018; 120 ref_44 ref_43 Nagaraja (ref_27) 2018; 41 ref_42 ref_41 ref_1 ref_3 ref_2 Choudhary (ref_86) 2019; 26 (ref_39) 2017; 19 Percy (ref_66) 1997; 51 ref_48 ref_9 ref_8 ref_5 ref_4 ref_7 Banik (ref_24) 2020; 101 ref_6 |
| References_xml | – ident: ref_4 doi: 10.1007/978-0-85729-694-8 – ident: ref_51 – volume: 238 start-page: 109411 year: 2023 ident: ref_81 article-title: Reliability analysis of the multi-state system with nonlinear degradation model under Markov environment publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2023.109411 – volume: 12 start-page: 3809 year: 2021 ident: ref_18 article-title: An MILP-Based Planning Model of a Photovoltaic/Diesel/Battery Stand-Alone Microgrid Considering the Reliability publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2021.3084935 – volume: 51 start-page: 223 year: 1997 ident: ref_66 article-title: Setting preventive maintenance schedules when data are sparse publication-title: Int. J. Prod. Econ. doi: 10.1016/S0925-5273(97)00054-6 – volume: 248 start-page: 35 year: 2019 ident: ref_35 article-title: Time-of-use pricing model based on power supply chain for user-side microgrid publication-title: Appl. Energy doi: 10.1016/j.apenergy.2019.04.076 – ident: ref_71 – volume: 59 start-page: 305 year: 2009 ident: ref_12 article-title: Artificial Neural Network-based technique for operation process control of a technical object publication-title: Def. Sci. J. doi: 10.14429/dsj.59.1526 – ident: ref_53 doi: 10.3390/app13095457 – volume: 187 start-page: 103 year: 2019 ident: ref_23 article-title: Overview on hybrid solar photovoltaic-electrical energy storage technologies for power supply to buildings publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2019.02.080 – volume: 218 start-page: 140 year: 2012 ident: ref_59 article-title: Modeling age-based maintenance strategies with minimal repairs for systems subject to competing failure modes due to degradation and shocks publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2011.10.025 – volume: 115 start-page: 1710 year: 2016 ident: ref_38 article-title: A hybrid ICT-solution for smart meter data analytics publication-title: Energy doi: 10.1016/j.energy.2016.05.068 – volume: 157 start-page: 04002 year: 2018 ident: ref_78 article-title: Use of risk assessment methods in maintenance for more reliable rolling stock operation publication-title: MATEC Web Conf. doi: 10.1051/matecconf/201815704002 – ident: ref_74 doi: 10.3390/app10165710 – volume: 7 start-page: 50 year: 2014 ident: ref_14 article-title: Identifying status of an ICT system using rough sets publication-title: Arch. Transp. Syst. Telemat. – ident: ref_48 – volume: 14 start-page: 3905 year: 2020 ident: ref_95 article-title: Extended Park’s vector method in early inter-turn short circuit fault detection for the stator windings of offshore wind doubly-fed induction generators publication-title: IET Gener. Transm. Distrib. doi: 10.1049/iet-gtd.2020.0127 – ident: ref_29 doi: 10.1109/CCDC.2015.7162831 – ident: ref_41 doi: 10.1109/EI2.2018.8582403 – volume: 63 start-page: 15 year: 2014 ident: ref_65 article-title: An overview of recovery models and algorithms for real-time railway rescheduling publication-title: Transp. Res. Part B Methodol. doi: 10.1016/j.trb.2014.01.009 – ident: ref_32 doi: 10.1007/978-3-642-21578-0_1 – ident: ref_3 doi: 10.1007/978-1-84996-232-2 – volume: 167 start-page: 103522 year: 2022 ident: ref_46 article-title: Model-data-driven constitutive responses: Application to a multiscale computational framework publication-title: Int. J. Eng. Sci. doi: 10.1016/j.ijengsci.2021.103522 – volume: 234 start-page: 109165 year: 2023 ident: ref_83 article-title: A reliability model for systems subject to mutually dependent degradation processes and random shocks under dynamic environments publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2023.109165 – volume: 101 start-page: 527 year: 2020 ident: ref_24 article-title: A Review on Architecture, Performance and Reliability of Hybrid Power System publication-title: J. Inst. Eng. Ser. B doi: 10.1007/s40031-020-00473-6 – ident: ref_47 – volume: 16 start-page: 12 year: 2019 ident: ref_28 article-title: Hybrid power supply solutions for off-grid green wireless networks publication-title: Int. J. Green Energy doi: 10.1080/15435075.2018.1529593 – volume: 19 start-page: 691 year: 2010 ident: ref_13 article-title: Diagnostic system for the diagnosis of a reparable technical object, with the use of an artificial neural network of RBF type publication-title: Neural Comput. Appl. doi: 10.1007/s00521-009-0325-4 – volume: 47 start-page: 984 year: 2000 ident: ref_94 article-title: A review of induction motors signature analysis as a medium for faults detection publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/41.873206 – ident: ref_44 – ident: ref_9 doi: 10.3390/en13102437 – ident: ref_98 doi: 10.3390/en14175549 – ident: ref_50 – volume: 178 start-page: 07003 year: 2018 ident: ref_100 article-title: Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network publication-title: MATEC Web Conf. doi: 10.1051/matecconf/201817807003 – volume: 312 start-page: 118683 year: 2022 ident: ref_17 article-title: Energy efficiency evaluation of power supply system: A data-driven approach based on shared resources publication-title: Appl. Energy doi: 10.1016/j.apenergy.2022.118683 – volume: 5 start-page: 20 year: 2015 ident: ref_70 article-title: Logical Tree of Mathematical Modeling publication-title: Theory Appl. Math. Comput. Sci. – volume: 22 start-page: 1546 year: 2022 ident: ref_84 article-title: A Review to Diagnose Faults Related to Three-Phase Industrial Induction Motors publication-title: J. Fail. Anal. Prev. doi: 10.1007/s11668-022-01445-2 – ident: ref_21 doi: 10.1007/978-3-319-16910-1 – volume: 26 start-page: 1221 year: 2019 ident: ref_86 article-title: Condition monitoring and fault diagnosis of induction motors: A review publication-title: Arch. Comput. Methods Eng. doi: 10.1007/s11831-018-9286-z – ident: ref_1 doi: 10.1201/9781420080834 – volume: 212 start-page: 107638 year: 2021 ident: ref_82 article-title: Degradation modeling and remaining useful life prediction for dependent competing failure processes publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2021.107638 – ident: ref_43 doi: 10.23919/CCC50068.2020.9189631 – ident: ref_36 – volume: 664 start-page: 012029 year: 2019 ident: ref_52 article-title: Development of a repair technology for locomotive units on the basis of the theory of decision publication-title: IOP Conf. Ser. Mater. Sci. Eng. doi: 10.1088/1757-899X/664/1/012029 – volume: 54 start-page: 671 year: 2018 ident: ref_33 article-title: Mathematical differential models and methods for assessing the cybersecurity of intelligent computer networks for control of technological processes of railway power supply publication-title: Cybern. Syst. Anal. doi: 10.1007/s10559-018-0068-2 – volume: 128 start-page: 103167 year: 2021 ident: ref_67 article-title: Stochastic process in railway traffic flow: Models, methods and implications publication-title: Transp. Res. Part C Emerg. Technol. doi: 10.1016/j.trc.2021.103167 – volume: 120 start-page: 360 year: 2018 ident: ref_80 article-title: A bi-objective model of preventive maintenance planning in distributed systems considering vehicle routing problem publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2018.05.001 – volume: 14 start-page: 100177 year: 2020 ident: ref_55 article-title: Maintenance scheduling within rolling stock planning in railway operations under uncertain maintenance durations publication-title: J. Rail Transp. Plan. Manag. – ident: ref_69 doi: 10.3390/en14082153 – volume: 23 start-page: 2022406 year: 2022 ident: ref_91 article-title: Structural diagram of the built-in diagnostic system for electric drives of vehicles publication-title: Diagnostyka doi: 10.29354/diag/156382 – volume: 5 start-page: 025070 year: 2023 ident: ref_88 article-title: Simulation of a direct torque control system in the presence of winding asymmetry in induction motor publication-title: Eng. Res. Express doi: 10.1088/2631-8695/acde46 – volume: 3 start-page: 31 year: 2019 ident: ref_76 article-title: Construction of a generalized probabilistic-physical model of reliability of a two-level active phased antenna array publication-title: East. Eur. J. Enterp. Technol. – volume: 68 start-page: 69 year: 2000 ident: ref_60 article-title: Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/S0951-8320(00)00007-7 – ident: ref_92 doi: 10.3390/en16135109 – volume: 18 start-page: 2749 year: 2023 ident: ref_97 article-title: Current Park’s Vector Pattern Technique for Diagnosis of Broken Rotor Bars Fault in Saturated Induction Motor publication-title: J. Electr. Eng. Technol. doi: 10.1007/s42835-022-01342-6 – volume: 91 start-page: 495 year: 2006 ident: ref_63 article-title: An analytical model for interactive failures publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2005.03.014 – volume: 41 start-page: 326 year: 2018 ident: ref_27 article-title: Analysis and design of a robust controller for a grid-connected photovoltaic power plant publication-title: Int. J. Ambient. Energy doi: 10.1080/01430750.2018.1451379 – volume: 110 start-page: 534 year: 2017 ident: ref_26 article-title: Will the European Commission’s policy hinder gas supplies to Central and Eastern European countries? OPAL case decision publication-title: Energy Policy doi: 10.1016/j.enpol.2017.08.041 – volume: 19 start-page: 375 year: 2017 ident: ref_39 article-title: Selected issues regarding the reliability-operational assessment of electronic transport systems with regard to electromagnetic interference publication-title: Eksploat. Niezawodn. Maint. Reliab. doi: 10.17531/ein.2017.3.8 – volume: 60 start-page: 531 year: 2010 ident: ref_11 article-title: Expert knowledge base to support the maintenance of a radar system publication-title: Def. Sci. J. doi: 10.14429/dsj.60.84 – volume: 3 start-page: 651 year: 2014 ident: ref_57 article-title: Short-term Rail Rolling Stock Rostering and Maintenance Scheduling publication-title: Transp. Res. Procedia doi: 10.1016/j.trpro.2014.10.044 – ident: ref_73 doi: 10.3390/infrastructures7090124 – ident: ref_8 – volume: 144 start-page: 106436 year: 2020 ident: ref_56 article-title: Reliability-based advanced maintenance modelling to enhance rolling stock manufacturers’ objectives publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2020.106436 – ident: ref_93 doi: 10.1109/ICIEAM.2019.8743076 – ident: ref_25 doi: 10.1007/978-3-642-22904-6 – volume: 16 start-page: 73 year: 2014 ident: ref_77 article-title: Evaluation of the operational reliability and forecasting of the operating life of the powertrain of the freight diesel locomotive fleet publication-title: Eksploat. Niezawodn. Maint. Reliab. – ident: ref_2 doi: 10.1002/9781119167020 – volume: 23 start-page: 2022201 year: 2022 ident: ref_89 article-title: Fault diagnosis of induction motors rotor using current signature with different signal processing techniques publication-title: Diagnostyka doi: 10.29354/diag/147462 – ident: ref_6 doi: 10.3390/en14092727 – ident: ref_64 doi: 10.3390/en15113860 – ident: ref_16 doi: 10.1109/ICSCAN53069.2021.9526443 – volume: 16 start-page: 297 year: 2019 ident: ref_40 article-title: Emergency Supply Chain Management Based on Rough Set—House of Quality publication-title: Int. J. Autom. Comput. doi: 10.1007/s11633-018-1133-z – volume: 213 start-page: 112807 year: 2020 ident: ref_22 article-title: A study on the viability of an on-site combined heat- and power supply system with and without electricity storage for office building publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2020.112807 – volume: 9 start-page: 80300 year: 2021 ident: ref_31 article-title: Modeling and Quantification of Power System Resilience to Natural Hazards: A Case of Landslide publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3084368 – ident: ref_72 doi: 10.1109/MEMSTECH55132.2022.10002909 – ident: ref_7 – volume: 67 start-page: 445 year: 2022 ident: ref_85 article-title: Classification of Defects, Systematization and Selection of Methods for Diagnosing the Stator Windings Insulation of Asynchronous Motors publication-title: Rev. Roum. Sci. Techn. Électrotechn. Énerg. – volume: 22 start-page: 955 year: 2013 ident: ref_10 article-title: Applications of an artificial intelligence for servicing of a technical object publication-title: Neural Comput. Appl. doi: 10.1007/s00521-011-0788-y – volume: 34 start-page: 5787 year: 2018 ident: ref_49 article-title: Fast Fault Protection Based on Direction of Fault Current for the High-Surety Power-Supply System publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2018.2870982 – volume: 5 start-page: 21 year: 2021 ident: ref_99 article-title: Determining an additional diagnostic parameter for improving the accuracy of assessment of the condition of stator windings in an induction motor publication-title: East. Eur. J. Enterp. Technol. – ident: ref_87 doi: 10.3390/sym14071305 – volume: 621 start-page: 128793 year: 2023 ident: ref_68 article-title: Forecasting the effect of traffic control strategies in railway systems: A hybrid machine learning method publication-title: Phys. A Stat. Mech. Its Appl. doi: 10.1016/j.physa.2023.128793 – volume: 32 start-page: 181 year: 2016 ident: ref_79 article-title: Risk Assessment of Railway Transportation Systems using Timed Fault Trees publication-title: Qual. Reliab. Eng. Int. doi: 10.1002/qre.1738 – ident: ref_75 doi: 10.3390/en16134995 – volume: 34 start-page: 3230 year: 2019 ident: ref_45 article-title: Risk Assessment for Cyberattack in Active Distribution Systems Considering the Role of Feeder Automation publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2019.2899983 – ident: ref_5 doi: 10.3390/en14020486 – ident: ref_19 doi: 10.1109/ICIEA51954.2021.9516270 – volume: 93 start-page: 30 year: 2017 ident: ref_96 article-title: Introducing the Filtered Park’s and Filtered Extended Park’s Vector Approach to detect broken rotor bars in induction motors independently from the rotor slots number publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2017.01.046 – ident: ref_54 – volume: 222 start-page: 119767 year: 2023 ident: ref_61 article-title: LSTM-based failure prediction for railway rolling stock equipment publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2023.119767 – volume: 247 start-page: 123395 year: 2022 ident: ref_37 article-title: Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities publication-title: Energy doi: 10.1016/j.energy.2022.123395 – volume: 227 start-page: 108725 year: 2022 ident: ref_62 article-title: An analytical model for reliability assessment of the rail system considering dependent failures (case study of Iranian railway) publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2022.108725 – volume: 104 start-page: 1255 year: 2021 ident: ref_34 article-title: The impact of selected variants of remote control on power supply reliability indexes of distribution networks publication-title: Electr. Eng. doi: 10.1007/s00202-021-01383-6 – ident: ref_42 doi: 10.1109/IAEAC47372.2019.8998063 – ident: ref_15 – ident: ref_90 doi: 10.1109/ICOECS52783.2021.9657352 – ident: ref_30 doi: 10.3390/en14092719 – volume: 86 start-page: 398 year: 2015 ident: ref_20 article-title: A choice of the structure of the photovoltaic system for power supply publication-title: Russ. Electr. Eng. doi: 10.3103/S1068371215070093 – volume: 128 start-page: 404 year: 2010 ident: ref_58 article-title: Rolling stock maintenance strategy selection, spares parts’ estimation, and replacements’ interval calculation publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2010.07.038 |
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| SubjectTerms | Alternative energy sources Analysis Efficiency Energy resources Failure fault detection Induction electric motors induction motor Information systems on-board diagnostic system Power supply Preventive maintenance Railroads reliability Renewable resources Repair & maintenance Research methodology servicing process Simulation transport equipment monitoring |
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| Title | Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors |
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