{"title":"High Frequency Modelling of Stator Windings Dedicated to Machine Insulation Diagnosis by Parametric Identification","authors":"W. Liu, E. Schaeffer, L. Loron, P. Chanemouga","doi":"10.1109/DEMPED.2007.4393141","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393141","url":null,"abstract":"This paper presents a novel state-space modelling dedicated to stator insulation diagnosis of form wound electrical machines by parametric identification. The underlying idea of the proposed diagnosis approach is that there exists a wide frequency domain (from several kHz to hundreds of MHz) which has not yet been exploited by conventional electrical diagnosis tools. The originality of our work, but also its difficulty, consists in searching for the best tradeoff between simplicity for model identiflability and complexity for its diagnosis ability. This is important for diagnosis and maintenance procedures which require to interpret the parameter estimated values and theirs drifts. It is possible only if the model parameters are related closely enough to the system physical parameters. A high voltage Mosfet pulse generator with ultra fast rise time allows theoretical and experimental system identification with respect to main industrial constraints. The first experiments deal with coils taken from a 5 kV induction machine. This allows to isolate and understand the complex phenomena which occur in stator insulation during identification procedures.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"22 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":"126597602","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 Reliable Rotor Eccentricity Detection Scheme for Induction Machines in the Presence of a Position Dependent Load Torque Oscillation","authors":"Long Wu, T. Habetler, R. Harley","doi":"10.1109/DEMPED.2007.4393075","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393075","url":null,"abstract":"Single phase stator current spectrum is usually monitored to examine rotor eccentricities in mains-fed induction motors. However, a rotor-position-dependent load torque oscillation introduces exactly the same side-band harmonics in the stator currents with larger magnitudes, leading to an ambiguity in the online rotor eccentricity diagnostics in the presence of a load torque oscillation. This paper develops a reliable scheme to eliminate load oscillation effects from rotor eccentricity detection by monitoring eccentricity-only related normalized negative sequence harmonic information in the stator current space vector spectrum. A significant advantage of this method lies in its independence on motor parameters. Extensive experimental results demonstrate the efficacy and convenience of the proposed technique.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"517 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":"133365557","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":"Rolling Bearing Condition Monitoring Based on Frequency Response Analysis","authors":"S. Villwock, H. Zoubek, M. Pacas","doi":"10.1109/DEMPED.2007.4393067","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393067","url":null,"abstract":"This paper deals with a new diagnosis method for detecting bearing faults. The diagnosis is carried out based on frequency response analysis. The detection of bearing damages on motor and load side of a mechanical drive system is addressed. The mechanics are assumed to be a two-inertia-system with one dominant resonant frequency. The frequency response of the mechanical system of the drive is obtained by using two measured signals. This method is regarded to be superior to one channel analysis that can be found in many technical papers in this field of research. The measurement of the required signal can be accomplished during operation of the plant in closed loop speed control. The system is excited by pseudo random binary testsignals. The deviations between the frequency response obtained during the commissioning of the plant and the curve measured under fault condition serve as indicators for the damage. The present paper addresses the detection of outer and inner race bearing faults. The majority of technical papers often are dedicated to experimental research regarding outer race faults. As inner race faults are much more difficult to diagnose, they are quite seldom in the scope of investigations. Both types of faults cause characteristic fault frequencies, which influence the frequency response of the mechanics. This paper contains experimental results which point out the reliability of the proposed analysis concept for rolling bearing condition monitoring.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"61 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":"115567962","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}
P. Kostyła, I. Hejke, T. Lobos, J. Rezmer, T. Sikorski
{"title":"Parametric Algorithms for Frequency Calculation in PWM Converters Systems","authors":"P. Kostyła, I. Hejke, T. Lobos, J. Rezmer, T. Sikorski","doi":"10.1109/DEMPED.2007.4393095","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393095","url":null,"abstract":"Proper estimation of voltage parameters has a significant meaning for power converters control systems. One of the measured parameter, directly associated with control process, is frequency of basic component. Unfortunately, power converters generate wide spectrum of harmonics as well as interharmonics, that makes difficult in estimation of frequency of basic component. Measurement carried out in industrial applications exhibits complex nature of investigated signals often corrupted by resonances or overvoltages phenomena. It entails searching a new digital algorithms for frequency measurement. This work presents algorithm using modification of high-resolution Prony method coupled with digital filtering. The investigations was based on real measured signals recorded in two different commercial PWM converters systems. Obtained results indicate accuracy of the method as well as its fast response.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"148 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":"115111839","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":"Condition Monitoring of Generators & Other Subassemblies in Wind Turbine Drive Trains","authors":"M. Wilkinson, F. Spinato, P. Tavner","doi":"10.1109/DEMPED.2007.4393125","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393125","url":null,"abstract":"Offshore wind turbines, incorporating electrical generators and converters, operate in locations where accessibility can lead to long mean times to repair. Condition-based maintenance is therefore essential if cost-effective availability targets are to be reached. As yet the condition monitoring techniques appropriate for offshore wind turbines have not been resolved. Reliability studies have shown that the majority of failure modes in wind turbines are concentrated in drive train subassemblies, including the electrical generator and converter, and are heavily affected by wind conditions. A 30 kW test rig has been constructed, with features similar to a wind turbine drive train, to enable the development of the signal processing techniques necessary for this variable speed, high torque variation application. The test rig includes a low speed shaft, high speed shaft, gearbox and an electrical generator and can be driven by simulated wind conditions. The test rig can also be used to inform the selection of appropriate monitoring instrumentation for offshore wind turbines. A series of condition monitoring approaches have been investigated on this test rig, using measured torque, speed, shaft displacement and gearbox vibration to detect faults. By the use of appropriate signal processing techniques, changes to load conditions, properties of the gearbox and coil faults can be detected.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"55 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":"116386344","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":"Automated Method to Verify Industry Standards on Derating of a Three-Phase Induction Motor due to Thermal Stress Caused by Voltage Unbalance","authors":"D. Springer, E. Stolz, E. Wiedenbrug","doi":"10.1109/DEMPED.2007.4393128","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393128","url":null,"abstract":"This paper presents an automated technique to verify the NEMA standard MG-1 voltage unbalance derating graph using temperature sensors embedded in a 5 hp motor. This two step process initially identifies the reference coil temperature. Once the reference temperature is found, the system automatically regulates the load to maintain the reference temperature at the single hottest coil for a wide range of incoming voltage unbalances. This testing system provides a highly controllable platform in which to investigate motor derating according to voltage unbalance, in addition to providing a basis for evaluation of IEEE vs. IEC style voltage unbalance calculations.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"11 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":"127074473","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 Direct Torque Control Scheme for Induction Motor Drives Using the Current Model Flux Estimation","authors":"M. Bertoluzzo, G. Buja, R. Menis","doi":"10.1109/DEMPED.2007.4393092","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393092","url":null,"abstract":"The paper deals with a direct torque control (DTC) scheme for Induction Motor (IM) drives where flux and torque of the motor are estimated by the IM current model instead of by the voltage model. The scheme is intended to enable operation of the DTC IM drives at zero speed. As a return, its implementation requires the knowledge of speed, rotor time constant and inductive parameters of the motor. In the paper the performance of the proposed scheme is studied for a drive equipped with an incremental encoder and commanded with a constant flux. Using the position information delivered by the encoder, a suitable representation of the current model is formulated that makes the drive operation feasible at true zero speed. Operating with a constant flux command, the variations in the rotor time constant dominate over the other parameters; their effect on the drive behavior is analyzed in steady state founding that the motor flux and torque are deviated from the references of a quantity, which is a function of the torque reference. Experimental results are given to substantiate both the capabilities of the scheme of developing the full torque at a standstill and the theoretical findings on the drive behavior under rotor time constant mismatch.","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":"127194633","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":"On the Frequency Dependence of Harmonic Current Side-Band (HCSB) based Rotor Fault Indicators for Three-Phase Cage Machines","authors":"C. Bruzzese, E. Santini","doi":"10.1109/DEMPED.2007.4393100","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393100","url":null,"abstract":"Inverter-fed cage induction motors can run at variable frequency and speed, and the diagnostic techniques to be applied for these motors must take in account frequency variations. Especially in variable frequency railway traction drives, bar breakage problems have been reported as a consequence of large sixth harmonic torques produced by the non-sinusoidal feeding. MCSA can be applied for motor diagnostics in these cases, but suitable indicators must be used for reliable fault severity assessment. Harmonic current side-band (HCSB) based Indicators (HCSBIs) for broken bars detection present a good rejection to frequency variations, as well as to motor load level, drive inertia, and motor parameters. In this paper, three industrial motors with broken bars have been tested for HCSBIs performance evaluation with different feeding frequencies, and the results have been reported and discussed.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"19 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":"123867080","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":"Model based torque estimation of Permanent Magnet Synchronous Machines","authors":"A. Zentai, T. Dabóczi","doi":"10.1109/DEMPED.2007.4393091","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393091","url":null,"abstract":"This paper reports advances in model based machine torque estimation used in electronic power assisted steering systems. Using machine input voltages the permanent magnet synchronous machine internal states and the output torque can be estimated. This technique can be used to detect machine failures and also can be used to verify the failure of the machine current measurement sensors.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"5 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":"125319281","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":"Innovative Approach To Early Fault Detection For Induction Motors","authors":"F. Ponci, L. Cristaldi, M. Faifer, M. Lazzaroni","doi":"10.1109/DEMPED.2007.4393109","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393109","url":null,"abstract":"This paper presents an approach to early fault detection for inverter fed induction motor drives. The method relies on a simple algorithm, which analyzes the line current signal acquired upstream from the rectifier-inverter set. The diagnostic system proposed here, introduces an ad hoc index related to the health state of the induction motor. Experimental results, showing the satisfactory performance of this algorithm are provided. In particular, tests for rotor winding fault have been performed.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"55 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":"127673844","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}