On the broken rotor bar diagnosis using time–frequency analysis: ‘Is one spectral representation enough for the characterisation of monitored signals?’

Panagiotou, Panagiotis A.; Arvanitakis, Ioannis; Lophitis, Neophytos; Antonino-Daviu, José A.; Gyftakis, Konstantinos N.

doi:10.1049/iet-epa.2018.5512

Cited by 13 publications

(18 citation statements)

References 54 publications

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“…A recent study is presented in [66,67], which deals with broken bar detection in large IMs, where the sideband components are usually located near the fundamental frequency, owing to the low value of slip at steady state. A time-frequency analysis of the external stray flux is proposed, through short time Fourier transform (STFT), and the sideband signatures of higher harmonics are considered, focusing on the sidebands around the 5th and 7th harmonics, since they stand at the distances (−4s f s ) and (−6s f s ) for the 5th and at (−6s f s ) and (−8s f s ) for the 7th harmonic.…”

Section: Squirrel Cage Rotormentioning

confidence: 99%

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Frosini

2020

Energies

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This paper aims to update the review of diagnostic techniques for rotating electrical machines of different type and size. Each of the main sections of the paper is focused on a specific component of the machine (stator and rotor windings, magnets, bearings, airgap, load and auxiliaries, stator and rotor laminated core) and divided into subsections when the characteristics of the component are different according to the type or size of the machine. The review considers both the techniques currently applied on field for the diagnostics of the electrical machines and the novel methodologies recently proposed by the researchers in the literature.

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Section: Squirrel Cage Rotormentioning

confidence: 99%

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Frosini

2020

Energies

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“…The transformation for the STFT analysis is derived using a Kaiser-Bessel windowing function, with parameter = 18.13 and 70.4% overlap between the frames. The selection accrued from fine tuning of the parameters accounting for two factors: initially, to achieve a windowing with a response of unitary ripple and as close as possible to rectangular; secondly, to yield by the window length a good trade-off between time and frequency resolution in order to observe the harmonic trajectories in the spectrogram [26]- [27], [45]- [46].…”

Section: Windowing Limits and Spectral Components Extractionmentioning

confidence: 99%

“…1, the spectral components are extracted for a desired frequency -e.g. the 5 th harmonic and its (5 − 4 ) and (5 − 6 ) sidebands-using frequency extraction [35], [46]- [49]. The spectral density information carried in each extracted trajectory is then handled as a function of amplitude and time at this specific frequency.…”

Section: Windowing Limits and Spectral Components Extractionmentioning

confidence: 99%

“…This means that the windowing functions will yield a frequency resolution able to localize each trajectory in a different time-chunk or frequency-bin to prevent aliasing and spectral leakage diffusion between sidebands [48]. To ensure that, the windowing limits are derived as in [46] and [49], to separate harmonics distanced at least 2 from each other. b) Fig.…”

Section: Windowing Limits and Spectral Components Extractionmentioning

confidence: 99%

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Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors

Panagiotou

Arvanitakis

Lophitis

et al. 2019

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

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This work expands the classical current signature analysis in induction machines in a two-stage spectral decomposition manner. The proposed methodology can be summarized in two main steps: initially, the current signals are analyzed using a time frequency representation, with the analysis focusing on the steady-state regime; thereafter, frequency extraction is applied to the spectral signatures of interest, aiming to identify specific fault related harmonic subcomponents induced by the fault related speed ripple effect. The proposed approach is verified experimentally on a 4 kW induction motor.

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“…However, it may vary to some extent from case to case. A detailed application of those techniques during transient and steady-state intervals using various signals can be studied in [47]- [50]. the corresponding DTFT • Heisenberg uncertainty is still the problem but less than that in STFT • More complicated than STFT in the sense of required computational power due to constantly moving mother wavelet with different scaling factors • CWT is much more computationally intense than corresponding DWT Due to the inevitable inclusion of complex control algorithms and inverters, the diagnostic techniques do not remain straightforward [51]- [53].…”

Section: The Fault Diagnostics Techniquesmentioning

confidence: 99%

Dynamic state space model based analysis of a three-phase induction motor using nonlinear magnetization inductance

Asad

Rassõlkin

Belahcen

2018

2018 19th International Scientific Conference on Electric Power Engineering (EPE)

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This thesis aims to study different analytical methods to model a squirrel cage induction motor, which should have minimal simulation time than the corresponding finite element method (FEM) based models. The purpose of doing so is to develop a model suitable to simulate all major faults and be used for advanced model-dependent fault diagnostic algorithms, such as parameters estimation and inverse problem theory. This thesis's second key objective is to study various signal-processing techniques for their pros and cons to detect fault at the embryonic stage and investigate the entire current harmonic spectrum of induction motors both in transient and steady-state regions. Thus, the motor under healthy and broken rotor bar (BRB) conditions are simulated, and experimental measurements are investigated for validation.The dynamic d-q model with the inclusion of non-linear magnetization inductance was considered as a starting point. This model helps understand the machine's basic concepts because of its comprehensiveness and ability to produce compact equations, which can be used for drives as general and in observers and state estimators as particular. However, this model was found to be less suitable to simulate machine faults because of the considered approximations.To address the d-q model limitations, the winding function analysis (WFA) based model was prepared. In this model, the analytical equations to calculate various inductances, resistances, currents, fluxes, torque, and speed are derived for the motor under investigation. These equations were simulated in MATLAB, giving results near to the practical measurements. The model is suitable for implementing some faults, such as BRB and broken end rings. Still, the consideration of constant air gap makes it less ideal for the implementation of eccentricity and saturation-related faults. Moreover, the spatial harmonics, which are very important for fault diagnostics and sensor-less speed estimation, cannot be simulated. Those approximations can be reduced with Fourier summation of higher-order harmonics (winding) and Taylor series to include inverse air gap functions but at the cost of the self-defined number and amplitude of harmonics.To get more realistic results, the modified winding function analysis (MWFA) based model was prepared to ensure that all winding functions and air gap were defined as a function of stator and rotor individual and respective angles. The geometry of stator and rotor slots is considered to calculate the leakage inductances and various resistances. The self and mutual inductances

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On the broken rotor bar diagnosis using time–frequency analysis: ‘Is one spectral representation enough for the characterisation of monitored signals?’

Abstract: the broken rotor bar diagnosis using time-frequency analysis: "Is one spectral representation enough for the characterization of monitored signals?"', Iet electric power applications.

Cited by 13 publications

References 54 publications

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors

Dynamic state space model based analysis of a three-phase induction motor using nonlinear magnetization inductance

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