{"title":"Gearbox Monitoring Using Induction Machine Stator Current Analysis","authors":"S. H. Kia, H. Henao, G. Capolino","doi":"10.1109/DEMPED.2007.4393086","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393086","url":null,"abstract":"The aim of this paper is the monitoring of a gearbox by using the stator current signature analysis in the driving induction machines. The detection of mechanical faults using the vibration signal analysis has been well studied before. Recently, some works have been performed in order to observe the vibration components of the mechanical part in the stator current spectrum for an induction machine but without any theoretical detail. This paper proposes a theoretical framework based on torque oscillations due to the characteristic torsional vibrations in a gearbox and the source of mesh and rotating frequency components in the stator current is presented. In order to verify the theoretical development, a test-bed based on a 5.5 kW three-phase squirrel-cage machine connected to a gearbox has been used.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129357468","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}
{"title":"Application of varistors for overvoltage protection of machine windings in inverter-fed drives","authors":"A. Rocks, V. Hinrichsen","doi":"10.1109/DEMPED.2007.4393117","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393117","url":null,"abstract":"This contribution deals with overvoltage protection in inverter-fed drives by varistors. Several kinds of overvoltage in combination with very low rise times impose extreme dielectric stress on the insulation of electrical machines. Here a novel approach of overvoltage protection in inverter-fed drives is presented. After a discussion of the origins of the overvoltages and of overvoltage limitation by varistors in general, the dimensioning for the particular application, which is quite unusual for varistors, will be presented. Two special cases of actual overvoltages are addressed. Oscillograms are analyzed, and comparisons of measurements and calculations are made as well. Finally, possible applications for certain cases are discussed.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"184 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120917869","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}
{"title":"Rotating Element Bearing Diagnostics in a Nuclear Power Plant: Comparing Vibration and Torque Techniques","authors":"H. Smith, E. Wiedenbrug, M. Lind","doi":"10.1109/DEMPED.2007.4393065","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393065","url":null,"abstract":"Planning for an upcoming refueling shutdown at Limerick Nuclear Power Station, sixteen vane axial fans were analyzed to determine which ones need maintenance. Vibration and torque signature technologies were employed. Vibration technology is the standard bearing diagnostic approach; however, the need of physical proximity limits the usability to low radiation areas. Lacking this drawback, torque signature is being investigated as an alternate diagnostic approach. Experts analyzed newly acquired air gap torque signatures, and pre-existing vibration signatures independently of one another. Both techniques concluded the same four fans needed maintenance due to bearing signatures, since both technologies supported that the motor bearings were in the very early stages of degradation probably due to grease problems. These four fans have been scheduled for predictive maintenance repair during the upcoming plant shutdown.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"389 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116490643","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}
{"title":"Rotor cage faults detection in induction motors by Motor Current Demodulation Analysis","authors":"I. Jaksch, P. Fuchs","doi":"10.5772/47811","DOIUrl":"https://doi.org/10.5772/47811","url":null,"abstract":"Dynamic rotor faults of induction motors, mainly broken or cracked rotor bars and dynamic rotor eccentricity, cause stator currents modulation. The detailed motor current analysis revealed meaningful phase modulation and its relation to amplitude modulation at increasing motor load and inertia load It is shown, that by increasing motor load mainly phase modulation increases and by increasing inertia load a phase shift between both modulations currents changes. This influences the MCSA spectral sidebands amplitudes and therefore it is not possible to determine the real fault size. The paper introduces a new method of motor current amplitude demodulation analysis -MCDA and shows that spectral amplitudes almost do not change with increasing load and inertia load Moreover MCDA directly analyzes fault signals without great motor stator current and increases resolution both in amplitude and frequency domains, facilitates and precises evaluation. Two demodulation methods using Hilbert transform and space transform are introduced","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116517249","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}
{"title":"Detection of Stator Winding Faults in Induction Machines Using an Internal Flux Sensor","authors":"P.C.M. Lamim, R. Pederiva, J. N. Brito","doi":"10.1109/DEMPED.2007.4393133","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393133","url":null,"abstract":"In this work is presented the implementation of a special flux coil sensor inside three-phase induction motors is used as experimental platforms. This sensor is sensitive to electromagnetic field and is used for detection and diagnosis electrical faults. It was established the relationship between the main electrical faults (inter-turn short circuits and unbalanced voltage supplies) and the signals of magnetic flux in order to identify the characteristic frequencies of those faults. The experimental results shown the efficiency of the flux coil sensor developed and the strategies for detection, diagnosis and monitoring tasks. The results were undoubtedly impressive and the system developed can be adapted and used in real predictive maintenance programs in industries.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122493074","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}
J. Antonino-Daviu, J. Rusek, M. Riera-Guasp, J. Roger-Folch, V. Climente
{"title":"Case Histories in large motors: Diagnosis of electromechanical faults through extraction of characteristic components during the startup","authors":"J. Antonino-Daviu, J. Rusek, M. Riera-Guasp, J. Roger-Folch, V. Climente","doi":"10.1109/DEMPED.2007.4393088","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393088","url":null,"abstract":"The aim of the paper is to show several case histories regarding the diagnosis of rotor asymmetries and other faults in large induction motors. These are motors under real operation in power generating installations. Two different approaches are used for the diagnosis of the machine condition. Both of them are based on the study of the startup transient of the machine and the extraction of characteristic patterns caused by the evolution during the transient of certain components dependant on the slip. The results show the validity of both diagnosis methods. Special interest has the use of the discrete wavelet transform for the detection and discrimination of different faults. Its validity was already proved by the authors in previous works but in small motors. The results show the potentiality of the approaches for the diagnosis of the condition of a wide range of motors.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127496952","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}
C. Concari, G. Franceschini, C. Tassoni, A. Bellini
{"title":"Torque and Field Currents Peculiarities Under Different Induction Machine Troubles","authors":"C. Concari, G. Franceschini, C. Tassoni, A. Bellini","doi":"10.1109/DEMPED.2007.4393112","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393112","url":null,"abstract":"Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction machines. However misunderstandings can be found about the mechanisms linking the anomalies to the current spectrum components. To improve the comprehension of these mechanisms a rotor flux observer to compute field current and torque current is proposed. Input currents and voltages and mechanical speed are the signals taken into account for the computation. The effects of mechanical unbalance and of mixed eccentricity and then the effect of a rotor asymmetry are considered. For the experiments a machine presenting an intrinsic rotor asymmetry and an intrinsic mixed eccentricity is utilized. A mechanical unbalance and an artificial increment of mixed eccentricity are introduced. The peculiarities of the considered variables due to the different troubles and their dependence on machine load are evidenced.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131049650","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}
{"title":"A Review of Separating Mechanical Load Effects from Rotor Faults Detection in Induction Motors","authors":"Long Wu, T. Habetler, R. Harley","doi":"10.1109/DEMPED.2007.4393098","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393098","url":null,"abstract":"Motor current signature analysis (MCSA) is usually used to detect rotor faults in induction motors. However, some abnormal mechanical load conditions such as load torque oscillation have similar effects in the stator current spectrum and often cause ambiguity in online motor condition monitoring. This paper first compares the effects of different types of rotor faults and mechanical load anomalies on the stator current spectra. After that, a comprehensive literature review is presented to evaluate different diagnostic techniques on separating these two effects. Based on their respective merits and limitations, an effective and computationally efficient strategy is proposed to reliably detect rotor faults under arbitrary load conditions without dependence on the accurate estimation of motor parameters.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130797704","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}
M. Zygmunt, M. Orkisz, P. Joerg, M. Wnek, J. Nowak
{"title":"Design of experiment for diagnosis of the temperatures in AC motor drive","authors":"M. Zygmunt, M. Orkisz, P. Joerg, M. Wnek, J. Nowak","doi":"10.1109/DEMPED.2007.4393121","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393121","url":null,"abstract":"The paper describes statistical methods used to diagnose power semiconductors in DTC drive system. Simulation was used to train the data-mining model and then trained model was used to diagnose temperatures. To select the most significant training points the design of experiment was applied. From the measurement point of view the challenge is in predicting the maximum temperature reached by the semiconductors (a momentary effect) based on signals that vary on much larger time scales, e.g., the cooling water temperature. In this paper we present some requirements regarding collection and analysis of drive signals for the purpose of diagnosing temperatures.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126552412","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}
E. Karatoprak, T. Senguler, E. Ayaz, R. Çağlar, S. Seker
{"title":"Spectral and Statistical Based Modeling for Bearing Damage in Induction Motors","authors":"E. Karatoprak, T. Senguler, E. Ayaz, R. Çağlar, S. Seker","doi":"10.1109/DEMPED.2007.4393115","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393115","url":null,"abstract":"This paper presents a new modeling approach using non-linear transformation to represent the changes of the statistical parameters which are dependent on the accelerated aging process. This approach enables the extraction of the statistical character of the bearing damage that has been developed during the accelerated aging process. This proposed transformation approach is applied to assess the statistical properties of the aged case data using the initial case data in Induction motor aging process. It can be included that from the results the non-linear transformation plays a very important role to describe the aging process, and the parameters of the function need to be adjusted reflecting the special condition of the process.research, which is based upon bearing damage by the accelerated aging studies, presents both of the spectral and statistical properties of the bearing damage in aging processes. In this sense, it is defined with the non-linear modeling approach to show the statistical parameter changes, which are depend on the aging properties.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117257999","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}