Grundlagen elektrischer Maschinen und Antriebe

“…(Also all further hypotheses have been tested with the probability level 0.05). This hypothesis has been rejected for some pairs (i, j), namely (1,4), (2,4), (3,4), (4,6), (4,11), (4,17), and (5,17). In order to eliminate number of potential false positives, Benjamini and Hochberg (BH) correction has been applied.…”

Section: Analysis Of Unaged Insulationmentioning

confidence: 99%

“…However, bearing in mind results from Section IV, it is assumed in the further analysis that the relatively low capacitance values obtained for t < 400 are due to manufacturing differences rather than thermal ageing. Distributions of capacitance values for t < 400 and t > 400 have been approximated with normal distributions N(23.1, 4.8) 2 and N(14.2, 9.1), respectively, where N ( , 2 ) denotes normal distribution with mean and variance 2 . These are presented in Fig.…”

Section: Aged Insulationmentioning

confidence: 99%

“…According to [1], low voltage induction motor stator faults account for only 9% of total failures. In medium voltage induction motors, the percentage increases to 35-40%, whereas for high voltage it is more than 65% [2]- [6]. Amongst all possible stator faults, inter-turn stator faults are of particular interest because they are challenging to detect, especially at low severity levels [7]- [10], however they can evolve quickly leading to serious motor damage [11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The impact of thermal degradation on electrical machine winding insulation

Sumisławska

Gyftakis

Kavanagh

et al. 2015

2015 IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

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. (2015) 'The impact of thermal degradation on electrical machine winding insulation' in IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (pp: 232-238 Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. CURVE is the Institutional Repository for Coventry University

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“…In view of this, Allianz (a technical insurance company) presented a statistics of failed machines, which was largely contributed by SMs [1]. The chart, reproduced in Fig.…”

Section: Introductionmentioning

confidence: 98%

Evaluation of different monitoring parameters for synchronous machine fault diagnostics

2016

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Early detection and diagnosis of faults in synchronous machine (SM) are crucial since they drive critical applications. In this paper, the authors exploited the combined information from numerical simulation and experimental validation to evaluate the merits of certain fault indicators, for detecting machine faults. A specially designed SM was chosen for both simulation and measurement with the ability to physically introduce electro-mechanical failures. Shorted turn fault was made through accessible intermediate terminals of respective stator and rotor windings. Eccentricity faults of different intensity were created by suitable changeover of customized end-shield. Finite element method was used to develop healthy and faulty simulation models. The experimental setup facilitated measurement and subsequent calculation of key parameters such as stator branch currents, phase current, circulating current, rotor field current and shaft voltage. From the investigation of both simulation and experimental data, field current and shaft voltage were found to be two effective fault indicators from safety and reliability prospects. Both indicators have the ability to identify and discriminate between electro-mechanical and electrical faults. Further, it is demonstrated that with availability of physical dimensions and measured rotor parameters, a know-how can be created to detect failures, well before a catastrophic event occurs.

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Grundlagen elektrischer Maschinen und Antriebe

Cited by 23 publications

References 0 publications

The Impact of Thermal Degradation on Properties of Electrical Machine Winding Insulation Material

The Impact of Thermal Degradation on Properties of Electrical Machine Winding Insulation Material

The impact of thermal degradation on electrical machine winding insulation

Evaluation of different monitoring parameters for synchronous machine fault diagnostics

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