A Disassembly-Free Offline Detection and Condition Monitoring Technique for Eccentricity Faults in Salient-Pole Synchronous Machines

Ilamparithi, T.; Nandi, S.; Subramanian, Jayaram

doi:10.1109/tia.2014.2358797

Cited by 19 publications

(12 citation statements)

References 27 publications

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“…Several diagnosis methods for mechanical unbalance faults have been put forward in the literature [3][4][5][6][7][8][9]. In [3], the effects of different types of eccentricity faults in a reluctance synchronous motor were analyzed to identify the faultspecific frequency components in the line current spectrum.…”

Section: Introductionmentioning

confidence: 99%

“…In [4], the split-phase current signature analysis was proved to be a viable tool for fault diagnosis of a synchronous generator in stand-alone operating condition and with unbalanced and transient load conditions. In [5], the condition of static and dynamic eccentricity faults in salient-pole synchronous machines was judged through the standard short-circuit test, which is based on off-line current signature analysis that does not require machine disassembly. In [6], both rotor current ripple and voltage harmonics were used to diagnose eccentricity 2 Electric Power Components and Systems, Vol.…”

Section: Introductionmentioning

confidence: 99%

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Diagnosis of Mechanical Unbalance Fault in Permanent Magnet Synchronous Machine Drives

Zhang

Hang

Cheng

2016

Electric Power Components and Systems

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Diagnosis of Mechanical Unbalance Fault in Permanent Magnet Synchronous Machine Drives

Zhang

Hang

Cheng

2016

Electric Power Components and Systems

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“…Zero sequence voltage component was used for simultaneous diagnosis of stator faults arising from inter-turn shorts and resistive unbalance [16]. On the contrary, the sensor-based approach deals with interpretation of the obtained data either by installing new sensors or using the existing ones and often times combined with modelbased approach to offer logical conclusions [9][10][11][12]20,21]. The measurements are based on rotor parameters such as field current, airgap flux measurement [4,[9][10][11] or stator parameters such as vibration, stator voltage, current, circulating current, etc.…”

Section: Introductionmentioning

confidence: 99%

“…The measurements are based on rotor parameters such as field current, airgap flux measurement [4,[9][10][11] or stator parameters such as vibration, stator voltage, current, circulating current, etc. [4,[10][11][12][13]20,21]. Such an approach is always The present investigation is an attempt of enforcing realistic faults into a low voltage (lv) SM [12] and evaluating the efficacy of different fault indicators.…”

Section: Introductionmentioning

confidence: 99%

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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“…introduced the prospect theory for the disassembly problem of sharing product service system. Ilamparithi et al (2015) proposed a novel scheme for monitoring the conditions of dynamic eccentricity faults in salient-pole synchronous machines through the standard shortcircuit test.…”

Section: Introductionmentioning

confidence: 99%

A novel approach for parallel disassembly design based on a hybrid fuzzy-time model

Zhang

Feng

Tan

et al. 2015

J. Zhejiang Univ. Sci. A

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This paper investigates the problem of parallel disassembly with the consideration of fuzziness. A novel approach is proposed based on optimized dispatching for parallel disassembly in which disassembly time is characterized by the fuzzy sets due to inevitable uncertainties. The proposed approach consists of three parts: in the first part, the fuzzy time-based dispatching disassembly process model is established; in the second part, the boundary conditions of the fuzzy time and the disassembly are derived, and the components' disassembly order and available stations are encoded together to find the optimal disassembly path; in the final part, the approach is optimized by using genetic algorithm (GA) to minimize the total time and cost, and the solution is compared with other algorithms. Finally, a case study for a hydraulic press disassembly is presented to verify the effectiveness and feasibility of the proposed approach.

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A Disassembly-Free Offline Detection and Condition Monitoring Technique for Eccentricity Faults in Salient-Pole Synchronous Machines

Cited by 19 publications

References 27 publications

Diagnosis of Mechanical Unbalance Fault in Permanent Magnet Synchronous Machine Drives

Diagnosis of Mechanical Unbalance Fault in Permanent Magnet Synchronous Machine Drives

Evaluation of different monitoring parameters for synchronous machine fault diagnostics

A novel approach for parallel disassembly design based on a hybrid fuzzy-time model

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