Stator Inter-Turn Fault Detection of Doubly-Fed Induction Generators Using Rotor Current and Search Coil Voltage Signature Analysis

Shah, Mubarak; Nandi,; Neti,

doi:10.1109/07ias.2007.296

Cited by 15 publications

(17 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During an inter-turn fault the stator has a shorted loop (can thus be treated as a single-phase winding) carrying current at supply frequency that generates two counter-rotating MMF waves [32]. The MMF produced by the asymmetric stator carrying three-phase balanced voltage can be given as where k = 1, 2, 3… corresponds to space harmonic poles.…”

Section: Detection Of Stator Faults Using Rotor Current and Search Comentioning

confidence: 99%

Fault Diagnosis of Electric Machines Using Model-Based Techniques

Nandi¹

2017

Electric Machines

Self Cite

View full text Add to dashboard Cite

Generally speaking, most of the fault detection techniques used in realtime fault detection in power systems are time-domain based. The over current, over voltage, earth fault, impedance relays, and so forth are mostly time-domain based. However, as far as detecting faults for electric machines are concerned, frequency-domain-based techniques, especially ones based on fast Fourier transforms (FFT) are very popular. Except for stator-related faults, most other faults can be reliably diagnosed using a spectrum analyzer provided the machines are operating under steady-state conditions for at least a reasonable period of time. For applications in which machines are made to operate under very frequently fluctuating load and speed conditions, traditional FFT has to be replaced with short time Fourier transforms (STFT), spectrograms, and other time-frequency analysis using wavelets and Wigner-Ville transforms. Usually the machine current, flux, mechanical vibration, torque, and speed signals are analyzed in frequency domain. High-resolution spectral techniques such as multiple signal classification (MUSIC), ROOTMUSIC, and higher-order spectral methods such as bispectrum and trispectrum have also been proposed by a few researchers. However, most of the popular frequency-domain-based techniques are based on fast Fourier transform of the line current generally known as motor current signature analysis (MCSA). Sometimes, when the frequencies at which the detections are to be made are known, swept sine measurements or the digital frequency locked loop technique (DFLL) are also used. This avoids lengthy computations while achieving good resolution.Traditionally, in many countries, power engineers are not exposed even to the basic signal processing course, which is only taught to students in electronics and communication. Hence it will not be out of place to discuss a few basics of signal processing first, before going into actual fault diagnosis using signal processing.

show abstract

Section: Detection Of Stator Faults Using Rotor Current and Search Comentioning

confidence: 99%

Fault Diagnosis of Electric Machines Using Model-Based Techniques

Nandi¹

2017

Electric Machines

Self Cite

View full text Add to dashboard Cite

show abstract

“…Stator faults account for 30% to 40% of all electric motor failures [2,8,9]. The stator fault can be broadly classified as the lamination or frame fault (core defect, circulation current, or ground, etc.)…”

Section: Stator Faultsmentioning

confidence: 99%

Modeling of Electric Machines Using Winding and Modified Winding Function Approaches

Nandi¹

2017

Electric Machines

View full text Add to dashboard Cite

“…T denotes the stator winding currents. Considering the three-phase voltage source, another numerical method is used for computing current as written in (12).…”

Section: Equations With Discrete Machine Modelingmentioning

confidence: 99%

“…In another work, eccentricity fault has been researched using current signature for silent pole synchronous and induction machines by Faiz, et al via the electromagnetic equations and finite element methods but did not proposed an exact model for air gap function and the machine's geometry [4][5][6][7]. The current/torque spectral analysis is the main approach for fault detection in electrical machines that were used for eccentricity and inter-turn short-circuit faults [4][5][6][7][8][9][10][11][12]. Wound rotor induction machine's faults were addressed in [8][9][10][11][12] by electromagnetic base modeling, but the air gap function were roughly modeled and basic equations were employed for the modeling.…”

Section: Introductionmentioning

confidence: 99%

“…The current/torque spectral analysis is the main approach for fault detection in electrical machines that were used for eccentricity and inter-turn short-circuit faults [4][5][6][7][8][9][10][11][12]. Wound rotor induction machine's faults were addressed in [8][9][10][11][12] by electromagnetic base modeling, but the air gap function were roughly modeled and basic equations were employed for the modeling. It is known that the winding function theory (WFT) and finite element method (FEM) are two powerful methods for numerical analysis of electrical machines.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Torque/current spectral analysis for healthy and eccentricity faulty synchronous reluctance machine using mathematical modeling method

Naderi

2015

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

SUMMARYIn this research, considering slot opening and distributed winding effects, torque ripple analysis is studied for four separate synchronous reluctance machines (SynRMs) under health and eccentricity fault conditions using a mathematical method. A finite element method (FEM) validated model is produced by mathematical modeling, and numerical method is used for the machine's behavior studying with voltage source supplying. With this aim, the machine's parameters have been computed under health and eccentricity fault conditions, using modified winding function theory (MWFT). A method of dynamic and static eccentricity fault diagnosis is proposed, which uses machine vibration analysis, and the results suggest that the eccentricity fault does not have any significant effect on the machine's currents. Moreover, unbalance magnetic pull (UMP) is computed under eccentricity fault conditions and mechanical un-stability is shown. Mathematical base model and voltage source machine supply and also presenting a discrete machine modeling method are the main advantages of this paper compared with other similar works that are usually FEM-based studies or have been based on current source power supply. The research is applicable to healthy and faulty machine behavior, and the methodical modeling is obviously applicable to other machines.

show abstract

Stator Inter-Turn Fault Detection of Doubly-Fed Induction Generators Using Rotor Current and Search Coil Voltage Signature Analysis

Cited by 15 publications

References 9 publications

Fault Diagnosis of Electric Machines Using Model-Based Techniques

Fault Diagnosis of Electric Machines Using Model-Based Techniques

Modeling of Electric Machines Using Winding and Modified Winding Function Approaches

Torque/current spectral analysis for healthy and eccentricity faulty synchronous reluctance machine using mathematical modeling method

Contact Info

Product

Resources

About