Influence of magnetic saturation effects on the fault detection of induction motors

Drozdowski, Piotr; Duda, Arkadiusz

doi:10.2478/aee-2014-0035

Cited by 6 publications

(11 citation statements)

References 11 publications

(9 reference statements)

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“…According to reference [27], short circuits cause the components given by Equation (19). As described in reference [28], in a symmetrical stator, the CS contains the harmonics given by Equations (20) and (21), for which the harmonics determined by Equations (22) through (24) should be added, in case of asymmetry. As described in reference [29], another simple alternative for the early detection of stator faults depends on the magnitude of the negative sequence of the current, which allows us to obtain the negative impedance to be compared with the average winding impedance.…”

Section: Modeling Electrical Generator Faults Using the Current Signalmentioning

confidence: 99%

Fault Detection of Wind Turbine Induction Generators through Current Signals and Various Signal Processing Techniques

et al. 2020

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In the wind industry (WI), a robust and effective maintenance system is essential. To minimize the maintenance cost, a large number of methodologies and mathematical models for predictive maintenance have been developed. Fault detection and diagnosis are carried out by processing and analyzing various types of signals, with the vibration signal predominating. In addition, most of the published proposals for wind turbine (WT) fault detection and diagnosis have used simulations and test benches. Based on previous work, this research report focuses on fault diagnosis, in this case using the electrical signal from an operating WT electric generator and applying various signal analysis and processing techniques to compare the effectiveness of each. The WT used for this research is 20 years old and works with a squirrel-cage induction generator (SCIG) which, according to the wind farm control systems, was fault-free. As a result, it has been possible to verify the feasibility of using the current signal to detect and diagnose faults through spectral analysis (SA) using a fast Fourier transform (FFT), periodogram, spectrogram, and scalogram.

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Section: Modeling Electrical Generator Faults Using the Current Signalmentioning

confidence: 99%

Fault Detection of Wind Turbine Induction Generators through Current Signals and Various Signal Processing Techniques

et al. 2020

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“…Conclusions from this analysis indicated further investigations using finite element method and laboratory tests [5][6][7][8]. More detailed method using a multiharmonic mathematical model of induction motors was presented in [9]. Inductances of this model depend on the magnetic permeance function comprising effects of magnetic circuit saturation and slotting of stator and rotor cores.…”

Section: Introductionmentioning

confidence: 99%

“…In ZSV and ZSC signals, the dominant harmonic is the harmonic of the frequency equal to triple the supply frequency originating from magnetic core saturation. Consideration of this effect in mathematical models is crucial in terms of the spectral analysis of signals, as it extends the set of characteristic frequencies for a specified type of fault [9,10].…”

Section: Introductionmentioning

confidence: 99%

Induction Motor Fault Diagnosis Based on Zero-Sequence Current Analysis

Duda

Drozdowski

2020

Energies

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This paper presents some considerations regarding the application of the stator zero-sequence current component (ZSC) in the fault detection of cage induction machines, including the effects of magnetic core saturation. Faults such as rotor cage asymmetry and static, dynamic, and mixed eccentricity were considered. The research started by developing a harmonic motor model, which allowed us to obtain a voltage equation for the zero-sequence current component. The equation allowed us to extract formulas of typical frequencies for particular fault types. Next, in order to verify the effectiveness of ZSC in induction motor fault diagnosis, finite element calculations and laboratory tests were carried out for the previously mentioned faults for delta and wye connections with neutral wire stator winding configurations.

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“…According to Drozdowski and Duda [36], the magnetic motor saturation will be reflected in the zero sequence voltage (VN) signal, as well as the machine asymmetries, where the VN spectrum in the stator can be used to detect rotor faults, which would be given by (32) and (33).…”

Section: Stator Asymmetrymentioning

confidence: 99%

“…The non-invasive techniques are based on several mathematical models that allow one to treat, decompose and analyze the spectrum of signals to identify irregularities that are associated with the failures that can occur in the induction motor while it operates normally without leaving the production line, Drozdowski and Duda [36]. The same authors mentions that the identification of the faults has allowed for the creation of databases that can be used to train intelligent systems capable of autonomously detecting any deviation from the normal operation of the equipment and mainly at an early stage.…”

Section: Maintenance Through Non-invasive Techniquesmentioning

confidence: 99%

State of the Art and Trends in the Monitoring, Detection and Diagnosis of Failures in Electric Induction Motors

2017

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Despite the complex mathematical models and physical phenomena on which it is based, the simplicity of its construction, its affordability, the versatility of its applications and the relative ease of its control have made the electric induction motor an essential element in a considerable number of processes at the industrial and domestic levels, in which it converts electrical energy into mechanical energy. The importance of this type of machine for the continuity of operation, mainly in industry, is such that, in addition to being an important part of the study programs of careers related to this branch of electrical engineering, a large number of investigations into monitoring, detecting and quickly diagnosing its incipient faults due to a variety of factors have been conducted. This bibliographic research aims to analyze the conceptual aspects of the first discoveries that served as the basis for the invention of the induction motor, ranging from the development of the Fourier series, the Fourier transform mathematical formula in its different forms and the measurement, treatment and analysis of signals to techniques based on artificial intelligence and soft computing. This research also includes topics of interest such as fault types and their classification according to the engine, software and hardware parts used and modern approaches or maintenance strategies.

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Influence of magnetic saturation effects on the fault detection of induction motors

Cited by 6 publications

References 11 publications

Fault Detection of Wind Turbine Induction Generators through Current Signals and Various Signal Processing Techniques

Fault Detection of Wind Turbine Induction Generators through Current Signals and Various Signal Processing Techniques

Induction Motor Fault Diagnosis Based on Zero-Sequence Current Analysis

State of the Art and Trends in the Monitoring, Detection and Diagnosis of Failures in Electric Induction Motors

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