2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)最新文献

Rotating HF signal injection method improvement based on robust phase-shift estimator for self-sensing control of IPMSM 基于鲁棒相移估计的旋转高频信号注入方法改进的IPMSM自感知控制

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-27 DOI: 10.1109/DEMPED.2019.8864921

A. Messali, M. Hamida, M. Ghanes, M. Koteich

引用次数: 1

Transient analysis of the external magnetic field via MUSIC methods for the diagnosis of electromechanical faults in induction motors 基于MUSIC方法的外磁场瞬态分析在感应电动机机电故障诊断中的应用

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-27 DOI: 10.1109/DEMPED.2019.8864858

Juan A. Ramirez-Nunez, J. Antonino-Daviu, R. Osornio-Ríos, A. Quijano-López, H. Razik, R. Romero-Troncoso

{"title":"Transient analysis of the external magnetic field via MUSIC methods for the diagnosis of electromechanical faults in induction motors","authors":"Juan A. Ramirez-Nunez, J. Antonino-Daviu, R. Osornio-Ríos, A. Quijano-López, H. Razik, R. Romero-Troncoso","doi":"10.1109/DEMPED.2019.8864858","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864858","url":null,"abstract":"In the induction motor predictive maintenance area there is a continuous search for new techniques and methods that can provide additional information for a more reliable determination of the motor condition. In this context, the analysis of the external magnetic field has drawn the interest of many researchers. The simplicity, low cost and potential of this technique makes it attractive for complementing the diagnosis provided by other well-established methods. More specifically, the study of this quantity during transient operation of the motor (e.g. under the starting) has been recently proposed as a valuable tool for the diagnosis of certain electromechanical faults. Despite this fact, the research in this approach is still incipient and the employed signal processing tools must be still optimized for a better visualization of the fault components and, therefore, for a better determination of the machine condition. This paper presents an advanced algorithm based on MUSIC for enhancing the visualization of the harmonics caused by different motor failures in the electromotive force signals induced by the external magnetic field. Two faults are considered in the work: rotor problems and misalignments. Also, different positions of the external coil sensor are studied. The results prove the potential of the MUSIC algorithm for the reliable diagnosis of electromechanical faults.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746688","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}

引用次数: 2

Characteristic Features of Rotor Bar Current Frequency Spectrum in Cage Induction Machine with Inner Faults 内部故障笼型感应电机转子棒电流频谱特征

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-01 DOI: 10.1109/DEMPED.2019.8864907

T. Sobczyk, J. Tulicki, K. Weinreb, R. Mielnik, M. Sułowicz

引用次数: 3

Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis 基于频率分析的变频异步电动机转子故障诊断

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-01 DOI: 10.1109/DEMPED.2019.8864903

B. Asad, T. Vaimann, A. Belahcen, A. Kallaste, A. Rassõlkin

{"title":"Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis","authors":"B. Asad, T. Vaimann, A. Belahcen, A. Kallaste, A. Rassõlkin","doi":"10.1109/DEMPED.2019.8864903","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864903","url":null,"abstract":"Condition monitoring of electrical machines is essential in industrial operations for improving workplace safety and ensuring reliable and economical exploitation of the machines. Motor current signature analysis (MCSA) monitoring technique is gaining heightened popularity due to the simplicity of its algorithms and the least number of sensors required. In this paper, the harmonic spectrum of industrial inverter fed induction motor is investigated for the detection of broken rotor bars. To improve the legibility of the spectrum, the fundamental component is attenuated using infinite impulse response (IIR) filter because of its good transition band, less passband ripples and low order. The results are first taken from finite element method (FEM) based simulation, where the motor is fed with pure sinusoidal current and only faulty and spatial frequencies are investigated and used as a benchmark. The practical results are based on the measurements taken from the laboratory setup, where the motor under investigation is fed through an industrial inverter working under scalar control mode. The data acquisition is done with a good sampling rate of 100 kHz for better resolution.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121998644","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}

引用次数: 7

Electrical Monitoring of Damper Bar Condition in Salient Pole Synchronous Motors without Motor Disassembly 无拆卸凸极同步电动机阻尼杆状态的电气监测

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-01 DOI: 10.1109/DEMPED.2019.8864860

J. Antonino-Daviu, V. Fuster-Roig, Sangwook Park, Yonghyun Park, Hanchun Choi, Jongsan Park, Sang Bin Lee

{"title":"Electrical Monitoring of Damper Bar Condition in Salient Pole Synchronous Motors without Motor Disassembly","authors":"J. Antonino-Daviu, V. Fuster-Roig, Sangwook Park, Yonghyun Park, Hanchun Choi, Jongsan Park, Sang Bin Lee","doi":"10.1109/DEMPED.2019.8864860","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864860","url":null,"abstract":"The damper (or amortisseur) winding of synchronous motors (SM) is a critical component required for starting the motor. Several cases of forced outage of industrial processes due to starting failure of salient pole SMs caused by damper bar damage have recently been reported. Detection of damper bar failure is difficult since they are active only during motor starting, and testing in the field currently relies on off-line visual inspection. It was recently shown that broken damper bars can be detected from the airgap flux, but this requires installation of airgap flux sensors inside the motor. In this paper, a method based on analysis of the stator starting current is proposed for detecting broken damper bars. In addition, an electrical detection method based on signal injection from the motor terminals is proposed. The new methods have been devised to provide remote testing from the motor control center without motor disassembly required in existing tests. Experimental testing performed on a 30 kW salient pole SM prototype with emulated broken bars shows that the proposed methods can provide sensitive and reliable detection of damper bar failures.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131317715","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}

引用次数: 20

Recent Experiences with MCSA and Flux Condition Monitoring of Mechanical Faults in 6kV Induction Motors for Water Pumping Applications 6kV水泵用感应电动机机械故障的MCSA和磁通状态监测的最新经验

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-01 DOI: 10.1109/DEMPED.2019.8864923

K. Gyftakis, P. Panagiotou, Dimitrios Spyrakis

引用次数: 4

Investigating Current and Radial Shaft Displacement of Induction Motor Driven by Pulse-Width Modulation Inverter for Bearing Fault Detection 脉宽调制变频器驱动感应电机电流和径向轴位移的轴承故障检测研究

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-01 DOI: 10.1109/DEMPED.2019.8864901

M. Kanemaru, T. Ohkubo, Sota Sano, A. Satake, Satoru Terashimara

引用次数: 1

Ground Fault Location System for Powertrain of Electric Vehicles 电动汽车动力总成接地故障定位系统

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-01 DOI: 10.1109/DEMPED.2019.8864859

Pengfei Tian, C. Platero, F. Blázquez, J. M. Guerrero

引用次数: 6

On-line Detection of Magnet Demagnetization in Asymmetrical Six-Phase Surface-Mounted Permanent Magnet Synchronous Motor Drives 非对称六相面贴式永磁同步电机驱动器磁体退磁在线检测

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-01 DOI: 10.1109/DEMPED.2019.8864881

M. Mengoni, L. Vancini, A. Tani, Y. Gritli, L. Zarri, C. Rossi

{"title":"On-line Detection of Magnet Demagnetization in Asymmetrical Six-Phase Surface-Mounted Permanent Magnet Synchronous Motor Drives","authors":"M. Mengoni, L. Vancini, A. Tani, Y. Gritli, L. Zarri, C. Rossi","doi":"10.1109/DEMPED.2019.8864881","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864881","url":null,"abstract":"By splitting the total power among several phases, multiphase drives allow reaching high power levels. Also, a suitable control system can take advantage of the higher number of phases and make the electric drive more robust to open-phase faults. However, in permanent magnet machines, a type of fault that has often been a challenging problem for the researchers is the demagnetization of the rotor magnets, which can be indistinguishable from other types of fault or becomes significant only in a specific working range. In this paper, an on-line control scheme for the monitoring of the status of the rotor magnets is illustrated for an asymmetric six phase permanent-magnet machine with two insulated three-phase windings. The developed control scheme ensures that the drive can still operate in case of a partial rotor magnet demagnetization, and identifies the abnormal operating condition by estimating the demagnetization level. Experimental results are shown to demonstrate the performance of the control scheme.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126226434","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}

引用次数: 1

Recognition of Electric Machines Boundary as The Constraint of Over Current Relay Coordination in Real Industrial Application with Serial Firefly Algorithm Optimization 基于串行萤火虫算法优化的电机边界识别作为实际工业应用中过电流继电器协调的约束

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-01 DOI: 10.1109/DEMPED.2019.8864828

R. Vincentius, A. W. Nugraha, P. Talitha, P. Margo, P. Ardyono, H. Mauridhi

{"title":"Recognition of Electric Machines Boundary as The Constraint of Over Current Relay Coordination in Real Industrial Application with Serial Firefly Algorithm Optimization","authors":"R. Vincentius, A. W. Nugraha, P. Talitha, P. Margo, P. Ardyono, H. Mauridhi","doi":"10.1109/DEMPED.2019.8864828","DOIUrl":"https://doi.org/10.1109/DEMPED.2019.8864828","url":null,"abstract":"The electric machines such as motor, transformer, and generator plays an essential role in the production process of a factory. Due to expansion, there is an intention to invest a new electric machine that expected to work correctly with the existing system. To integrate the new electric machines, the existing protection system has to be evaluated carefully without limiting the machine's capability. Based on the actual experiences, one of the frustrating issues during the commissioning stage is energizing failure due to relay mal-trip. The objective of this paper is to summarize and model the electrical machines in the protection system perspective and offers a new method to coordinate the relays with the electric machines recognition using the artificial intelligence of serial firefly algorithm. This proposed method is endorsed by a real industrial power system and will demonstrate the ability to coordinate the relays without violating the electric machine boundary.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116606667","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}

引用次数: 11