Pub Date : 2009-10-23DOI: 10.1109/DEMPED.2009.5292763
C. Bruzzese, E. Santini, V. Benucci, A. Millerani
In this paper a study about the different effects of shaft eccentricities on the external electric variables of a brushless salient-pole synchronous generator for ship onboard service is presented. Static and dynamic rotor eccentricities were simulated by using a dynamic mesh-model including inductances computed by an improved MWFA-based analyses and by 3D FEM, and taking in account the damping effect of the parallel paths inside the machine. Current and voltage steady-state waveforms were analyzed by FFT; no-load voltage harmonics appeared as good candidates as fault indicators, given their dependence on level and type of eccentricity. Some voltage measurements on the real machine are also reported and discussed.
{"title":"Model-based eccentricity diagnosis for a ship brushless-generator exploiting the Machine Voltage Signature Analysis (MVSA)","authors":"C. Bruzzese, E. Santini, V. Benucci, A. Millerani","doi":"10.1109/DEMPED.2009.5292763","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292763","url":null,"abstract":"In this paper a study about the different effects of shaft eccentricities on the external electric variables of a brushless salient-pole synchronous generator for ship onboard service is presented. Static and dynamic rotor eccentricities were simulated by using a dynamic mesh-model including inductances computed by an improved MWFA-based analyses and by 3D FEM, and taking in account the damping effect of the parallel paths inside the machine. Current and voltage steady-state waveforms were analyzed by FFT; no-load voltage harmonics appeared as good candidates as fault indicators, given their dependence on level and type of eccentricity. Some voltage measurements on the real machine are also reported and discussed.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"628 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131779442","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292791
A. Amaral, A. Cardoso
This paper presents a fault diagnostic technique that is able to estimate the output filter condition of DC/DC boost and buck-boost converters. More than half of the breakdowns in these equipments are mainly due to the output filter capacitor. So, the development of fault diagnostic techniques that can avoid unexpected breakdowns is of paramount importance. The aging of the output filter capacitors is expressed by the increase of their internal resistance, that changes considerable with temperature. The proposed technique uses both input current and output voltage ripple to estimate capacitors internal resistance; for that, a very simple analytical relationship between both waveforms is used. The temperature effect is also considered for evaluating the capacitors condition.
{"title":"Using input current and output voltage ripple to estimate the output filter condition of switch mode DC/DC converters","authors":"A. Amaral, A. Cardoso","doi":"10.1109/DEMPED.2009.5292791","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292791","url":null,"abstract":"This paper presents a fault diagnostic technique that is able to estimate the output filter condition of DC/DC boost and buck-boost converters. More than half of the breakdowns in these equipments are mainly due to the output filter capacitor. So, the development of fault diagnostic techniques that can avoid unexpected breakdowns is of paramount importance. The aging of the output filter capacitors is expressed by the increase of their internal resistance, that changes considerable with temperature. The proposed technique uses both input current and output voltage ripple to estimate capacitors internal resistance; for that, a very simple analytical relationship between both waveforms is used. The temperature effect is also considered for evaluating the capacitors condition.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117023535","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292777
J. Pons-Llinares, J. Antonino-Daviu, M. Riera-Guasp, M. Pineda-Sánchez, V. Climente-Alarcón
In this paper a new methodology of Transient Motor Current Signature Analysis (TMCSA) is proposed. The approach consists on obtaining a 2D time frequency plot representing the time-frequency evolution of all the harmonics present on an electric machine transient current. Identifying characteristic patterns in the time-frequency plane, produced by some of the fault related components, permits the machine diagnosis. Unlike other CWT based methods, this work uses Complex Frequency B-Splines Wavelets. It is shown that these wavelets enable high detail in the time-frequency maps and an efficient filtering in the region neighbouring the main frequency. These characteristics make easy the identification of the patterns related to the fault components. As an example, the technique has been applied to no load startup currents of healthy motors and motors with broken bars, showing the Complex FBS Wavelets capabilities. The diagnosis has been done via the identification of the Upper Sideband Harmonic.
{"title":"Induction motor fault diagnosis based on analytic wavelet transform via Frequency B-Splines","authors":"J. Pons-Llinares, J. Antonino-Daviu, M. Riera-Guasp, M. Pineda-Sánchez, V. Climente-Alarcón","doi":"10.1109/DEMPED.2009.5292777","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292777","url":null,"abstract":"In this paper a new methodology of Transient Motor Current Signature Analysis (TMCSA) is proposed. The approach consists on obtaining a 2D time frequency plot representing the time-frequency evolution of all the harmonics present on an electric machine transient current. Identifying characteristic patterns in the time-frequency plane, produced by some of the fault related components, permits the machine diagnosis. Unlike other CWT based methods, this work uses Complex Frequency B-Splines Wavelets. It is shown that these wavelets enable high detail in the time-frequency maps and an efficient filtering in the region neighbouring the main frequency. These characteristics make easy the identification of the patterns related to the fault components. As an example, the technique has been applied to no load startup currents of healthy motors and motors with broken bars, showing the Complex FBS Wavelets capabilities. The diagnosis has been done via the identification of the Upper Sideband Harmonic.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126880793","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 : 2009-10-23DOI: 10.1109/DEMPED.2009.5292802
Y. Gritli, A. Stefani, C. Rossi, F. Filippetti, A. Chatti
The paper introduces a monitoring and diagnostic technique for the detection of incipient stator electrical faults in Doubly Fed Induction Machine (DFIM) for wind power systems. Operating in aggressive environments, the detection of anomalies at an incipient stage is crucial to decide about the operating continuity of the machines. Discrete Wavelet Transform (DWT) is used to detect stator faults under time varying-condition in two mainly different contexts: Transient-Speed conditions and Fault-Varying conditions. A frequency sliding (FS) with High Multiresolution Analysis (HMRA) approach is proposed for improving the ability of DWT in extracting the most relevant stator fault frequency component dynamically over time thereby. A dynamic mean power calculation at different resolution levels was introduced as a diagnostic index to quantify the fault extent. Simulation and experimental results show the effectiveness of the proposed approach in discriminating stator fault severities leading to an effective diagnostic procedure for stator faults in DFIM.
{"title":"Doubly Fed Induction Machine stator fault diagnosis under time-varying conditions based on frequency sliding and wavelet analysis","authors":"Y. Gritli, A. Stefani, C. Rossi, F. Filippetti, A. Chatti","doi":"10.1109/DEMPED.2009.5292802","DOIUrl":"https://doi.org/10.1109/DEMPED.2009.5292802","url":null,"abstract":"The paper introduces a monitoring and diagnostic technique for the detection of incipient stator electrical faults in Doubly Fed Induction Machine (DFIM) for wind power systems. Operating in aggressive environments, the detection of anomalies at an incipient stage is crucial to decide about the operating continuity of the machines. Discrete Wavelet Transform (DWT) is used to detect stator faults under time varying-condition in two mainly different contexts: Transient-Speed conditions and Fault-Varying conditions. A frequency sliding (FS) with High Multiresolution Analysis (HMRA) approach is proposed for improving the ability of DWT in extracting the most relevant stator fault frequency component dynamically over time thereby. A dynamic mean power calculation at different resolution levels was introduced as a diagnostic index to quantify the fault extent. Simulation and experimental results show the effectiveness of the proposed approach in discriminating stator fault severities leading to an effective diagnostic procedure for stator faults in DFIM.","PeriodicalId":405777,"journal":{"name":"2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"49 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133003296","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：