2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)最新文献_第8页

Cost-effective on-line fault diagnosis of induction motors using the reduced modulus of the current park's vector 基于电流公园矢量降模的异步电动机在线故障诊断

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062390

J. Pérez-Cruz, R. Puche-Panadero, M. Pineda-Sánchez, M. Riera-Guasp, J. Martínez-Román, Á. Sapena-Bañó

{"title":"Cost-effective on-line fault diagnosis of induction motors using the reduced modulus of the current park's vector","authors":"J. Pérez-Cruz, R. Puche-Panadero, M. Pineda-Sánchez, M. Riera-Guasp, J. Martínez-Román, Á. Sapena-Bañó","doi":"10.1109/DEMPED.2017.8062390","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062390","url":null,"abstract":"This paper presents a new algorithm for the practical implementation on embedded devices of the extended current Park's vector approach (EPVA), which substantially reduces the hardware and computational requirements needed for applying this technique. The EPVA is a proven technique for fault diagnosis of induction motors working in steady state regime. However, this approach has some practical limitations: it requires the simultaneous measurement of three-phase currents, using three high-resolution, synchronous analog-to-digital converters, operated at high sampling rates to avoid aliasing artifacts, and during long periods for reaching suitable frequency resolution; thus, a huge amount of data must be stored and processed. To solve these problems, a cost-effective implementation of the EPVA is presented in this paper. The proposed approach only requires a single ADC channel sampled at a very low frequency rate and, besides, it reduces the computational requirements (storage capacity, calculation time) to less than 1% of those required by the conventional EPVA. In this way it can be implemented in real time, using low cost embedded devices. This approach is theoretically introduced and experimentally validated using commercial induction motors with broken bars, under different supply and load conditions.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130286049","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: 8

Investigation of traction motor windings' insulation capacitance at switching frequencies under accelerated thermal stress 加速热应力作用下牵引电机绕组开关频率绝缘电容的研究

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062407

P. Panagiotou, K. Gyftakis, N. Lophitis, M. Mcculloch, D. Howey

{"title":"Investigation of traction motor windings' insulation capacitance at switching frequencies under accelerated thermal stress","authors":"P. Panagiotou, K. Gyftakis, N. Lophitis, M. Mcculloch, D. Howey","doi":"10.1109/DEMPED.2017.8062407","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062407","url":null,"abstract":"Machines in electric vehicles are driven by switching power electronic devices and undergo variable load cycling. In transient conditions high currents and temperatures develop, forcing the electric motor and particularly the insulation materials to undergo severe multi-stress. Insulation degradation will progressively lead to short-circuits which are harmful for the traction motor, vehicle safety and reliability. This paper focuses on the thermal assessment of insulation's capacitance at switching frequencies. For this, thin-film winding insulation samples were thermally aged at different temperatures and for various periods of time. Dielectric spectroscopy was applied and the capacitance information at different frequencies was extracted. The measurements were substituted to statistical analysis under three factors namely; ageing time, temperature and frequency. It is also evaluated how appropriate it is to use capacitance measurements as a means for reliable prognostics. The statistical analysis depicts that the capacitance does not follow predictable ageing patterns, mainly because the material's dielectric properties are affected by a number of different degradation mechanisms that occur concurrently.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130845292","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

Reliable methodology for online fault diagnosis in induction motors using passive infrared thermography 被动红外热像在线诊断异步电动机故障的可靠方法

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062416

P. Redon, R. Romero-Troncoso, M. J. Picazo-Ródenas, J. Antonino-Daviu

{"title":"Reliable methodology for online fault diagnosis in induction motors using passive infrared thermography","authors":"P. Redon, R. Romero-Troncoso, M. J. Picazo-Ródenas, J. Antonino-Daviu","doi":"10.1109/DEMPED.2017.8062416","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062416","url":null,"abstract":"Induction motors are the mostly used electric machines in industry, due to their manufacturing features, which makes them more economical and robust. Consequently, it is of special interest to identify the most common faults present in these machines and develop reliable and cost-effective diagnostic tools to properly maintain them. In this context, the infrared thermography coupled with signal processing algorithms can be a very relevant tool. The main objective is to analyze its potential by focusing on two common fault conditions, bearing and ventilation system. To do so, the two of them were induced in an induction motor and compare during transient state and under similar working conditions against the healthy motor. The results reveal its capacity to identify the thermal sensitive regions for each case, highlight significant differences between the tested scenarios and its high temperature sensitivity especially relevant for determining severity degrees. These findings allow the authors to conclude that the proposed methodology, based on thermography and signal processing algorithms, has a high potential to become a diagnostic tool easily implementable in an industrial context.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124925897","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: 4

Comparison of field oriented versus model predictive torque control techniques for monitoring interior PM traction motor over wide speed range 面向磁场与模型预测转矩控制技术在大转速范围内监测内部永磁牵引电机的比较

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062379

N. Adamopoulos, F. Karamountzou, A. Sarigiannidis, A. Kladas

{"title":"Comparison of field oriented versus model predictive torque control techniques for monitoring interior PM traction motor over wide speed range","authors":"N. Adamopoulos, F. Karamountzou, A. Sarigiannidis, A. Kladas","doi":"10.1109/DEMPED.2017.8062379","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062379","url":null,"abstract":"This paper compares two torque control methodologies, namely Field Oriented and Model Predictive ones, for monitoring Interior Permanent Magnet Motor (IPMM) over a wide speed range. IPMM magnetic saturation and cross coupling effects are taken into consideration, increasing significantly the precision of the developed controllers. Maximum Torque per Ampere (MTPA) and Field Weakening (FW) operating modes below and above the rated speed, respectively, are considered for an Electric Vehicle (EV) application. In the Field Oriented Control (FOC) case, this is achieved by implementing convenient Look-Up Tables (LUT) and PI controllers, while in the Model Predictive Control (MPC) case it is obtained via a particular cost function. Moreover, in the MPC case, an additional power loss tracking factor is introduced in the cost function, in order to minimize the total motor losses over the entire drive cycle. The proposed control techniques are evaluated under both steady state and dynamic conditions, illustrating the relative advantages of MPC in terms of robustness and dynamic behavior.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125158276","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: 6

On-line estimation of aluminum electrolytic-capacitor parameters using a modified Prony's method 用改进的proony方法在线估计铝电解电容器参数

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062384

Khaled Laadjal, M. Sahraoui, A. Cardoso, Acácio M. R. Amarai

{"title":"On-line estimation of aluminum electrolytic-capacitor parameters using a modified Prony's method","authors":"Khaled Laadjal, M. Sahraoui, A. Cardoso, Acácio M. R. Amarai","doi":"10.1109/DEMPED.2017.8062384","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062384","url":null,"abstract":"Aluminum electrolytic capacitors (AECs) are the most common capacitors used in power electronics. They are frequently used for filtering and storage functions because of their small size, large capacitance and low price. However, AECs also represent the major cause for power electronics equipment breakdown, mainly due to their wear out through the vaporization of the electrolyte, as a result of both aging and temperature effects. The aging of AECs is expressed by the increase of their equivalent series resistance (ESR) and the decrease of their capacitance (C). Therefore, estimating these two parameters can provide a good indicator for a potential capacitor failure. Additionally, these changes in C and ESR parameters strongly influence the ratio between the capacitors voltage ripple and their current ripple. This ratio is dominated by C at low frequencies and by the ESR in the high frequency range. Hence, this paper suggests a method for on-line estimating and tracking of both C and ESR using that ratio, which is computed starting from some always existing harmonics at low and high frequencies. The proposed method uses the Short Time Least Square Prony's (STLSP) technique to determine and track the amplitudes of the target harmonics. The STLSP technique is well suited for such application, since it has the ability to determine and track the amplitude and frequency of any spectral component, even for noisy and non-stationary signals, using a small number of data samples. This reduces a lot the calculation time and the storage requirements. Consequently, the proposed method is appropriate for online implementation. The method's effectiveness is proved by simulation and experimental tests using a boost DC-DC converter.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127035482","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: 8

Acoustic detection of cracks and delamination in Multilayer Ceramic Capacitors 多层陶瓷电容器裂纹和分层的声学检测

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062419

Saku Levikari, T. Kärkkäinen, Periti Silventoinen, C. Andersson, Juha Tamminen

引用次数: 11

Fault diagnosis of squirrel-cage induction motor broken bars based on a model identification method with subtractive clustering 基于相减聚类模型识别方法的鼠笼式异步电动机断条故障诊断

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062372

Y. L. Karnavas, I. Chasiotis, Andreas Vrangas

{"title":"Fault diagnosis of squirrel-cage induction motor broken bars based on a model identification method with subtractive clustering","authors":"Y. L. Karnavas, I. Chasiotis, Andreas Vrangas","doi":"10.1109/DEMPED.2017.8062372","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062372","url":null,"abstract":"Fault diagnosis in electric motors is a field that evolves and grows constantly, aiming at their effective maintenance and protection scenarios under the lowest possible cost. Especially for induction motors, since they are of fundamental importance to the industry worldwide, many techniques and methodologies for the early fault detection-diagnosis have been proposed so far. In this paper, an attempt is made to develop a mechanism in order to diagnose faults in a three-phase squirrel cage induction motor rotor bars. The concept is implemented by primarily taking into account the information extracted from the classical motor current signature analysis (MSCA) and then a model identification method approach is formulated using data set manipulation known as subtractive clustering. The method is based on adaptive neuro fuzzy inference system (ANFIS). An investigation on the validity of the proposed method is performed, through experimental data taken from a healthy motor operation as well as those from the same motor with 1, 2 and 3 broken bars. From the derived results it is shown that they present satisfactory sensitivity and accuracy characteristics and thus the proposed method may be a suitable candidate mechanism in the early rotor bar fault detection phase of induction motors.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130751697","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: 14

Characterization of the operating periods of a power transformer by clustering the dissolved gas data 用溶解气体数据聚类来描述电力变压器的运行周期

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062371

S. Eke, T. Aka-Ngnui, G. Clerc, I. Fofana

引用次数: 11

Exploiting rotor slotting harmonics to determine and separate static and dynamic air-gap eccentricity in induction machines 利用转子开槽谐波来确定和分离感应电机的静态和动态气隙偏心

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062333

M. Samonig, T. Wolbank

引用次数: 6

On-load tap-changer influence on frequency response analysis of transformer: A case study 有载分接开关对变压器频响分析的影响:一个实例研究

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062394

M. Bagheri, S. Nezhivenko, B. Phung, V. Behjat

引用次数: 3