Pub Date : 2017-10-09DOI: 10.1109/DEMPED.2017.8062378
M. Jovanović, S. Ademi
The doubly-fed reluctance machine is a viable substitute for the widely used wound rotor doubly-fed induction machine (DFIM) in adjustable speed slip power recovery applications (e.g. pump-type drives, high-inertia loads, wind turbines etc.). It may offer competitive performance to DFIM at equally low capital expenditure by adopting a similar fractional converter, but contributing further with much reduced operation and maintenance costs of reliable brushless construction and a simpler, more compact, rugged 2-stage gearbox. The comparative simulation results for the two robust angular velocity and power factor control schemes executed in flux and/or voltage vector oriented reference frames have been experimentally validated on a custom-built prototype for variable loading characteristics.
{"title":"Simulation and practical studies of doubly-fed reluctance drives operation and control","authors":"M. Jovanović, S. Ademi","doi":"10.1109/DEMPED.2017.8062378","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062378","url":null,"abstract":"The doubly-fed reluctance machine is a viable substitute for the widely used wound rotor doubly-fed induction machine (DFIM) in adjustable speed slip power recovery applications (e.g. pump-type drives, high-inertia loads, wind turbines etc.). It may offer competitive performance to DFIM at equally low capital expenditure by adopting a similar fractional converter, but contributing further with much reduced operation and maintenance costs of reliable brushless construction and a simpler, more compact, rugged 2-stage gearbox. The comparative simulation results for the two robust angular velocity and power factor control schemes executed in flux and/or voltage vector oriented reference frames have been experimentally validated on a custom-built prototype for variable loading characteristics.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114385047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-09DOI: 10.1109/DEMPED.2017.8062331
H. Mahmoud, A. Al-Timimy, M. Degano, M. Di Nardo, N. Bianchi, C. Gerada
This paper deals with the uniform and non-uniform axial eccentricity analyses of the surface mounted permanent magnet and synchronous reluctance machines. The analyses are carried out using an analytical model for each considered machine. Being the axial eccentricity a 3D physical phenomenon, the standard sliding approach used in the analytical models has been validated through accurate 3D FE simulations. The results presented in this paper verify the effectiveness of the analytical approaches quantifying the results deviations respect to the computational expensive 3D FE simulations. The results also confirms that synchronous reluctance machines show higher radial forces compared to the surface permanent magnet machines for the same eccentricity level, main geometry and operating condition.
{"title":"Axial eccentric SynRel and SPM motors analytical models validation using 3D finite element","authors":"H. Mahmoud, A. Al-Timimy, M. Degano, M. Di Nardo, N. Bianchi, C. Gerada","doi":"10.1109/DEMPED.2017.8062331","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062331","url":null,"abstract":"This paper deals with the uniform and non-uniform axial eccentricity analyses of the surface mounted permanent magnet and synchronous reluctance machines. The analyses are carried out using an analytical model for each considered machine. Being the axial eccentricity a 3D physical phenomenon, the standard sliding approach used in the analytical models has been validated through accurate 3D FE simulations. The results presented in this paper verify the effectiveness of the analytical approaches quantifying the results deviations respect to the computational expensive 3D FE simulations. The results also confirms that synchronous reluctance machines show higher radial forces compared to the surface permanent magnet machines for the same eccentricity level, main geometry and operating condition.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133698411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-06DOI: 10.1109/DEMPED.2017.8062411
A. Arvanitopoulos, N. Lophitis, S. Perkins, Konstantinos N. Gyftakis, M. B. Guadas, Marina Antoniou
Major recent developments in growth expertise related to the cubic polytype of Silicon Carbide, the 3C-SiC, coupled with its remarkable physical properties and the low fabrication cost, suggest that within the next five years, 3C-SiC devices can become a commercial reality. It is therefore important to develop Finite Element Method (FEM) techniques and models for accurate device simulation. Furthermore, it is also needed to perform an exhaustive simulation investigation with scope to identify which family of devices, which voltage class and for which applications this polytype is suited. In this paper, we present a complete set of physical models and material parameters for bulk 3C-SiC aiming Technology Computer Aided Design (TCAD) tools. These are compared with those of 4H-SiC, the most well developed polytype of SiC. Thereafter, the newly developed material parameters are used to assess 3C- and 4H-SiC vertical power diodes, P-i-N and Schottky Barrier Diodes (SBDs), to create trade-off maps relating the on-state voltage drop and the blocking capability. Depending on the operation requirements imposed by the application, the developed trade-off maps set the boundary of the realm for those two polytypes. It also allows us to predict which applications will benefit from an electrically graded 3C-SiC power diodes.
{"title":"Physical parameterisation of 3C-Silicon Carbide (SiC) with scope to evaluate the suitability of the material for power diodes as an alternative to 4H-SiC","authors":"A. Arvanitopoulos, N. Lophitis, S. Perkins, Konstantinos N. Gyftakis, M. B. Guadas, Marina Antoniou","doi":"10.1109/DEMPED.2017.8062411","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062411","url":null,"abstract":"Major recent developments in growth expertise related to the cubic polytype of Silicon Carbide, the 3C-SiC, coupled with its remarkable physical properties and the low fabrication cost, suggest that within the next five years, 3C-SiC devices can become a commercial reality. It is therefore important to develop Finite Element Method (FEM) techniques and models for accurate device simulation. Furthermore, it is also needed to perform an exhaustive simulation investigation with scope to identify which family of devices, which voltage class and for which applications this polytype is suited. In this paper, we present a complete set of physical models and material parameters for bulk 3C-SiC aiming Technology Computer Aided Design (TCAD) tools. These are compared with those of 4H-SiC, the most well developed polytype of SiC. Thereafter, the newly developed material parameters are used to assess 3C- and 4H-SiC vertical power diodes, P-i-N and Schottky Barrier Diodes (SBDs), to create trade-off maps relating the on-state voltage drop and the blocking capability. Depending on the operation requirements imposed by the application, the developed trade-off maps set the boundary of the realm for those two polytypes. It also allows us to predict which applications will benefit from an electrically graded 3C-SiC power diodes.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116817249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-08-30DOI: 10.1109/DEMPED.2017.8062357
D. Hind, C. Gerada, M. Galea, J. B. Bartolo, M. Fabian, T. Sun, K. Grattan
This paper describes a new approach to multi-parameter monitoring for electrical AC machines. It is demonstrated that speed, torque and temperature can be measured using optical fibres incorporating sensors in the form of fibre Bragg gratings (FBGs) distributed around the machine. One fibre can incorporate several FBGs and hence provide several measurements. Experimental results showing speed, torque, direction of rotation, stator housing vibration and temperature measured using the FBG method are presented and validated against measurements obtained from conventional sensors. The results show that the optical fibre based approach allows multiple parameters to be monitored accurately and simultaneously with only a fraction of the usual monitoring equipment required. Another advantage of the proposed method is the EMI immunity naturally provided by optical solutions. The presented measurement technique can also offer a new alternative approach to sensorless control.
{"title":"Use of optical fibres for multi-parameter monitoring in electrical AC machines","authors":"D. Hind, C. Gerada, M. Galea, J. B. Bartolo, M. Fabian, T. Sun, K. Grattan","doi":"10.1109/DEMPED.2017.8062357","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062357","url":null,"abstract":"This paper describes a new approach to multi-parameter monitoring for electrical AC machines. It is demonstrated that speed, torque and temperature can be measured using optical fibres incorporating sensors in the form of fibre Bragg gratings (FBGs) distributed around the machine. One fibre can incorporate several FBGs and hence provide several measurements. Experimental results showing speed, torque, direction of rotation, stator housing vibration and temperature measured using the FBG method are presented and validated against measurements obtained from conventional sensors. The results show that the optical fibre based approach allows multiple parameters to be monitored accurately and simultaneously with only a fraction of the usual monitoring equipment required. Another advantage of the proposed method is the EMI immunity naturally provided by optical solutions. The presented measurement technique can also offer a new alternative approach to sensorless control.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129530336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-08-29DOI: 10.1109/DEMPED.2017.8062410
Nick Simpson, T. Duggan, P. Mellor, Julian D Booker
Proper estimation of the thermal contact conductance at the stator-housing interface of electrical machines is necessary for the accurate prediction of thermal performance, since this material interface typically lies in the main heat extraction path. However, thermal contact conductance is a complex phenomena influenced by many factors including material properties, interface pressure and surface finish, making reliable analytical estimates challenging. In this paper, a simple heat-flow meter is used to experimentally measure the thermal contact conductance between representative stator and housing material samples under in-service conditions. This approach allows the various combinations of materials, cutting methods and surface finishes encountered in electrical machine manufacturing to be measured and assessed and could enable the expected thermal performance deviation between prototype and production manufactured electrical machines to be quantified.
{"title":"Measurement of the thermal characteristics of a stator-housing interface","authors":"Nick Simpson, T. Duggan, P. Mellor, Julian D Booker","doi":"10.1109/DEMPED.2017.8062410","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062410","url":null,"abstract":"Proper estimation of the thermal contact conductance at the stator-housing interface of electrical machines is necessary for the accurate prediction of thermal performance, since this material interface typically lies in the main heat extraction path. However, thermal contact conductance is a complex phenomena influenced by many factors including material properties, interface pressure and surface finish, making reliable analytical estimates challenging. In this paper, a simple heat-flow meter is used to experimentally measure the thermal contact conductance between representative stator and housing material samples under in-service conditions. This approach allows the various combinations of materials, cutting methods and surface finishes encountered in electrical machine manufacturing to be measured and assessed and could enable the expected thermal performance deviation between prototype and production manufactured electrical machines to be quantified.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133573525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-08-29DOI: 10.1109/DEMPED.2017.8062374
N. Kaci, B. O. Bouamama, I. Boussaada, A. Debiane
The presented research is carried out within the framework of a global industrial project “Electro-Mechanical Actuator Health Management” with french company CERTIA. The objective is the realization of an auto-diagnosis embedded module for health monitoring and reconfiguration of Electro-Mechanical Actuator (EMA) including two operating modes: Test checking before taking off (evaluation and health management, i.e evaluation of the rate of degradation) and online supervision including (i)fault detection and isolation (to avoid the irreversible jamming default for instance) and (ii) fault tolerant control and/or reconfiguration in faulty situation (how to continue to control the system en degraded mode ?). The present paper concerns the first part of the project. The innovative interest concerns use of bond graph model as unified and multidisciplinary tool not only for modeling but also for structural diagnosability analysis (which faults which may affect component including sensors can be detected an isolated ?) and sensor placement proposition to make the system diagnosable Without any need of numerical calculation. An application to an induction motor as main component in an EMA is used for illustration.
{"title":"Structural diagnosability analysis. Application to an induction motor","authors":"N. Kaci, B. O. Bouamama, I. Boussaada, A. Debiane","doi":"10.1109/DEMPED.2017.8062374","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062374","url":null,"abstract":"The presented research is carried out within the framework of a global industrial project “Electro-Mechanical Actuator Health Management” with french company CERTIA. The objective is the realization of an auto-diagnosis embedded module for health monitoring and reconfiguration of Electro-Mechanical Actuator (EMA) including two operating modes: Test checking before taking off (evaluation and health management, i.e evaluation of the rate of degradation) and online supervision including (i)fault detection and isolation (to avoid the irreversible jamming default for instance) and (ii) fault tolerant control and/or reconfiguration in faulty situation (how to continue to control the system en degraded mode ?). The present paper concerns the first part of the project. The innovative interest concerns use of bond graph model as unified and multidisciplinary tool not only for modeling but also for structural diagnosability analysis (which faults which may affect component including sensors can be detected an isolated ?) and sensor placement proposition to make the system diagnosable Without any need of numerical calculation. An application to an induction motor as main component in an EMA is used for illustration.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122783755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-08-01DOI: 10.1109/DEMPED.2017.8062404
J. Saucedo-Dorantes, R. Osornio-Ríos, M. Delgado-Prieto, R. Romero-Troncoso
The development of condition monitoring strategies is necessary to ensure the efficiency and reliability of the operation on electric machines. The feature calculation is an important signal processing step used to obtain a characterization related to the working condition of machinery. In order to address this issue, this work proposes a diagnosis methodology based on the calculation of a statistical-time set of features applied to identify the appearance of different faults in an induction motor. In the proposed methodology three acquired stator current signals are characterized by calculating its statistical-time features. Then, such statistical-time sets of features are compressed and represented into a 2-dimentional space through Linear Discriminant Analysis. And, finally a Neuro Fuzzy-based classifier is used to diagnose the different considered conditions. The performance of the proposed diagnosis methodology is evaluated in an experimental test bench; the obtained results make the proposed methodology suitable to be applied in industrial processes.
{"title":"Diagnosis methodology based on statistical-time features and linear discriminant analysis applied to induction motors","authors":"J. Saucedo-Dorantes, R. Osornio-Ríos, M. Delgado-Prieto, R. Romero-Troncoso","doi":"10.1109/DEMPED.2017.8062404","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062404","url":null,"abstract":"The development of condition monitoring strategies is necessary to ensure the efficiency and reliability of the operation on electric machines. The feature calculation is an important signal processing step used to obtain a characterization related to the working condition of machinery. In order to address this issue, this work proposes a diagnosis methodology based on the calculation of a statistical-time set of features applied to identify the appearance of different faults in an induction motor. In the proposed methodology three acquired stator current signals are characterized by calculating its statistical-time features. Then, such statistical-time sets of features are compressed and represented into a 2-dimentional space through Linear Discriminant Analysis. And, finally a Neuro Fuzzy-based classifier is used to diagnose the different considered conditions. The performance of the proposed diagnosis methodology is evaluated in an experimental test bench; the obtained results make the proposed methodology suitable to be applied in industrial processes.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127332532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-08-01DOI: 10.1109/DEMPED.2017.8062388
Weiqiang Chen, E. Hotchkiss, C. Mademlis, A. Bazzi
This paper proposes a generalized logic-based method for fault diagnosis in multilevel inverters that can be integrated with reconfiguration methods. Thus, both effective fault diagnosis and fault tolerance can be accomplished. To validate such integration, the proposed fault diagnosis method is applied to a five-level neutral point clamped inverter with three reconfiguration methods proposed in the technical literature. The effectiveness of the fault diagnosis method is verified with simulation and experimental results, while the integration of this method with the reconfiguration techniques is validated with MATLAB/Simulink simulations. Several simulation and experimental results under healthy and faulty conditions are presented to demonstrate the satisfactory performance of the proposed integrated fault diagnosis and recovery.
{"title":"Integrated fault diagnosis and recovery in NPC multi-level inverters","authors":"Weiqiang Chen, E. Hotchkiss, C. Mademlis, A. Bazzi","doi":"10.1109/DEMPED.2017.8062388","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062388","url":null,"abstract":"This paper proposes a generalized logic-based method for fault diagnosis in multilevel inverters that can be integrated with reconfiguration methods. Thus, both effective fault diagnosis and fault tolerance can be accomplished. To validate such integration, the proposed fault diagnosis method is applied to a five-level neutral point clamped inverter with three reconfiguration methods proposed in the technical literature. The effectiveness of the fault diagnosis method is verified with simulation and experimental results, while the integration of this method with the reconfiguration techniques is validated with MATLAB/Simulink simulations. Several simulation and experimental results under healthy and faulty conditions are presented to demonstrate the satisfactory performance of the proposed integrated fault diagnosis and recovery.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-08-01DOI: 10.1109/DEMPED.2017.8062345
J. Wodecki, P. Kruczek, A. Wyłomańska, A. Bartkowiak, R. Zimroz
The problem of local damage detection in rotating machines is currently the highly important subject of interest. In the literature one can find many different strategies. One of the most common approaches is the vibration signal analysis aiming at informative frequency band selection. In case of simply structured signals classic methods (e.g. spectral kurtosis) are sufficient and return clear information about the damage. However, in real-world cases the signal is usually much more complicated. Indeed, such signals consist of many different components, for instance: damage-related cyclic impulses, high energy non-cyclic impulses not related to damage or heavy-tailed background noise etc. Hence, there is a growing need for robust damage detection methods. In this paper a novel method of informative frequency band selection is proposed. It utilizes the approach of Non-negative Matrix Factorization applied to time-frequency signal representation. The described algorithm is evaluated using simulated signal containing several different components, that resembles real-life vibration signal from copper ore crusher. Using the obtained structure of informative frequency band it is possible to filter particular components out of the original signal.
{"title":"Novel method of informative frequency band selection for vibration signal using nonnegative matrix factorization of short-time fourier transform","authors":"J. Wodecki, P. Kruczek, A. Wyłomańska, A. Bartkowiak, R. Zimroz","doi":"10.1109/DEMPED.2017.8062345","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062345","url":null,"abstract":"The problem of local damage detection in rotating machines is currently the highly important subject of interest. In the literature one can find many different strategies. One of the most common approaches is the vibration signal analysis aiming at informative frequency band selection. In case of simply structured signals classic methods (e.g. spectral kurtosis) are sufficient and return clear information about the damage. However, in real-world cases the signal is usually much more complicated. Indeed, such signals consist of many different components, for instance: damage-related cyclic impulses, high energy non-cyclic impulses not related to damage or heavy-tailed background noise etc. Hence, there is a growing need for robust damage detection methods. In this paper a novel method of informative frequency band selection is proposed. It utilizes the approach of Non-negative Matrix Factorization applied to time-frequency signal representation. The described algorithm is evaluated using simulated signal containing several different components, that resembles real-life vibration signal from copper ore crusher. Using the obtained structure of informative frequency band it is possible to filter particular components out of the original signal.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125414662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-08-01DOI: 10.1109/DEMPED.2017.8062409
S. Williamson, R. Wróbel, J. Yon, J. Booker, P. Mellor
High performance electrical machine operation is limited by the losses generated in the machine and how well the heat developed by these losses is extracted. For conductive heat transfer from the main winding body, the insulation materials provide the main heat transfer pathway. As a machine ages through its lifetime, these materials will change their properties, and therefore these heat transfer characteristics will also alter. This paper describes the methodology and measurements on a set of motorettes undergoing an insulation ageing process to identify the change in heat transfer characteristics. The motorettes are subjected to a combination of thermal, electrical, mechanical and humidity stresses, before their thermal performance is measured. It has been found that the equivalent thermal resistance of the motorettes over the nominal lifetime of the insulation increases by over 100%, with the current carrying capability of the machine reducing by over 30% across the machine's lifetime. It is therefore recommended that this is taken into account during the initial thermal design of the machine to ensure it remains fit for purpose during its complete life.
{"title":"Investigation of equivalent stator-winding thermal resistance during insulation system ageing","authors":"S. Williamson, R. Wróbel, J. Yon, J. Booker, P. Mellor","doi":"10.1109/DEMPED.2017.8062409","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062409","url":null,"abstract":"High performance electrical machine operation is limited by the losses generated in the machine and how well the heat developed by these losses is extracted. For conductive heat transfer from the main winding body, the insulation materials provide the main heat transfer pathway. As a machine ages through its lifetime, these materials will change their properties, and therefore these heat transfer characteristics will also alter. This paper describes the methodology and measurements on a set of motorettes undergoing an insulation ageing process to identify the change in heat transfer characteristics. The motorettes are subjected to a combination of thermal, electrical, mechanical and humidity stresses, before their thermal performance is measured. It has been found that the equivalent thermal resistance of the motorettes over the nominal lifetime of the insulation increases by over 100%, with the current carrying capability of the machine reducing by over 30% across the machine's lifetime. It is therefore recommended that this is taken into account during the initial thermal design of the machine to ensure it remains fit for purpose during its complete life.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116081087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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