{"title":"Diagnostics of Commutator DC Motor Basing on Spectral Analysis of Signals","authors":"Z. Głowacz, A. Zdrojewski","doi":"10.1109/DEMPED.2007.4393144","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393144","url":null,"abstract":"Measurement investigations have been carried out for commutator DC motor with internal asymmetries. Construction of considered motor enables to realize the breaking of one rotor coil and shorting of two groups of rotor coils. Each group contains three rotor coils. The basis of study were signals: current and voltage of field winding, current and voltage of armature winding and velocity of the rotor. The presented in this paper results of spectral analysis of signals create new possibilities for diagnostics of commutator DC motor.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"60 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":"132541433","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":"Diagnosis of induction machines in time-varying conditions","authors":"A. Stefani, F. Filippetti, A. Bellini","doi":"10.1109/DEMPED.2007.4393082","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393082","url":null,"abstract":"A method is here presented that allows the diagnosis of broken rotor bars in time varying operations with simple post processing of input currents. Extensive simulations are presented to validate the proposed approach for open loop and closed loop induction machines. A diagnostic index is presented also, that is quite robust versus load and inertia variations.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"103 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":"131695594","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 angle detection via shaft iron remanence for the balancing process of small rotors","authors":"T. Knopik, A. Binder, P. Gullich","doi":"10.1109/DEMPED.2007.4393110","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393110","url":null,"abstract":"A magneto-resistive sensor for measuring the rotor position angle is introduced, which is based on the remanence of the ferromagnetic rotor shaft. Based on a mathematical model of the remanence field, a sensor concept for rotor positioning is developed. Several magnetization methods for obtaining a dipole field are discussed and were tested. A sensor prototype SR70 of company SchenckRotecreg, Darmstadt/Germany, is presented, showing that an accuracy of 1deg (mechanical) for rotor positioning is possible, which allows the use of the sensor for the balancing process.","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":"129113599","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":"Bearing Condition Monitoring Methods for Electric Machines: A General Review","authors":"Wei Zhou, T. Habetler, R. Harley","doi":"10.1109/DEMPED.2007.4393062","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393062","url":null,"abstract":"Bearing faults account for approximately half of all electric machine failures. Bearing condition monitoring is of practical importance. In this paper, up to seven different bearing condition monitoring methods in terms of the measuring medium are reviewed, with an emphasis on their implementation considerations. The major advantages and disadvantages of those methods are also summarized. This paper attempts to provide a general guide for choosing proper bearing condition monitoring strategies in practice for electric machines.","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":"132969829","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":"Automatic Parametric Model Identification Method for AC-Drives with LC-Filter","authors":"P. Szczupak, J. Pacas","doi":"10.1109/DEMPED.2007.4393096","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393096","url":null,"abstract":"In this paper an automatic identification method of system parameters is presented. The procedure is intended to be helpful in obtaining the parameters of more complicated systems than a state-of-the-art drive application consisting of an inverter connected directly to the AC machine. The laboratory setup and the analysis in the presented work deal with the system containing the common 3 phase inverter connected with either Permanent Magnet Synchronous Machine or Induction Motor through the LC-filter. This filter changes the order and the complexity of the system and due to that fact the standard identification procedures programmed in the industrial inverters can not be utilized.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"16 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":"128587435","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":"Bearing Fault Diagnosis in Induction Machine Based on Current Analysis Using High-Resolution Technique","authors":"Mounir Djeddi, Pierre Granjon, Benoit Leprettre","doi":"10.1109/DEMPED.2007.4393066","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393066","url":null,"abstract":"In this paper, we propose to perform early fault diagnosis using high-resolution spectral analysis of the stator current to detect bearing faults in electrical induction machine. While most research works focus on mechanical vibration analysis, the originality of our work relies on the use of high-resolution methods to detect modulations in the stator current. We present the results obtained for real data to detect inner and outer raceway bearing defects made articially as well as bearing defects obtained through on-site ageing. The obtained results show that the proposed method yields better detection than classical spectum analysis.","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":"125960457","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":"Turbogenerator Stator Core Study","authors":"J. Edmonds, A. Daneshpooy, S. Murray, R. Sire","doi":"10.1109/DEMPED.2007.4393134","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393134","url":null,"abstract":"The results of a failure analysis of a 460 MW turbogenerator are presented. The stator core melt-through holes are investigated using mathematical and finite element modeling, and the failure scenario model that closely matches the physical evidence and timeline is generated.","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":"129344006","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":"Frequency Stabilization of Small Power System with Wind Farm by Using Flywheel Energy Storage System","authors":"R. Takahashi, J. Tamura","doi":"10.1109/DEMPED.2007.4393126","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393126","url":null,"abstract":"For the recent expansion of renewable energy applications, wind energy conversion is receiving much interest all over the world. However, output fluctuations of wind generators cause network frequency variation in power system. This can decrease power quality and then cause a restriction of wind farm installation, especially in a small power system. Therefore this problem needs to be solved for further expansion of wind energy generation. This paper proposes an application of flywheel energy storage system (FESS) to a small power system with a wind farm for improving the network frequency quality. The validity of the proposed method is evaluated by computer simulation analyses using PSCAD/EMTDC.","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":"128490206","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":"Investigation of a Novel Approach for Fault Diagnosis in Power Electronic Converters: The Case of the Subsynchronous Cascade Drive","authors":"I. Tsoumas, A. Safacas","doi":"10.1109/DEMPED.2007.4393071","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393071","url":null,"abstract":"Condition monitoring of adjustable speed drives (ASDs) gives the ability to prevent catastrophic failures of the electromechanical system. In case of standstills, fast and accurate fault diagnosis is necessary in order to reduce the downtime and consequently the production and revenue losses. For the above mentioned reasons, the investigation of the ASDs behaviour during the presence of faults in the power electronic converter and the development of diagnostic methods is extremely important In the present paper, faults in the rotor side of the power electronic converter of the subsynchronous cascade drive are examined. Furthermore, a novel approach for fault diagnosis is investigated via simulation and experiment The proposed approach is based on monitoring the rotor current space vector angle, in order to extract features which indicate the specific fault modes of operation.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"10 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":"117278898","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 Static Neural Network for Input-Output Mapping of Power Electronic Circuits","authors":"S. Mohagheghi, R. Harley, T. Habetler, D. Divan","doi":"10.1109/DEMPED.2007.4393116","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393116","url":null,"abstract":"This paper investigates the effectiveness of a static neural network for input-output mapping of power electronic circuits. The neural network is a multilayer perceptron (MLP) that is trained to form a mapping between the inputs and outputs of a power electronic circuit. The circuit consists of a full bridge diode rectifier, together with the source inductance and the output filter. Dynamic models have been used for the rectifier diodes. The ultimate objective of the designed neural network is to provide an indication when the performance properties of one or more components in the rectifier circuit have changed. Simulation results are provided that indicate the neural network is capable of mapping the inputs and outputs of the circuit and detect operating conditions that are different from the original condition.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"50 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":"115391982","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}