Advances in Diagnostic Techniques for Induction Machines

Bellini, A.; Filippetti, F.; Tassoni, C.; Capolino, Gérard‐André

doi:10.1109/tie.2008.2007527

Cited by 998 publications

(553 citation statements)

References 87 publications

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“…Moreover, due to the effect that this may have on the diagnosis, the design of the machine, the power range, the coupled mechanical components, the conditions and the load characteristics should be considered. Bellini et al [23] classified the procedures using MCSA according to Figure 3. In general terms, it is known that the asymmetries will be reflected in the motor signals in the form of sidebands distributed with a certain uniformity around the main component.…”

Section: Maintenance Through Non-invasive Techniquesmentioning

confidence: 99%

“…However, this spacing can be altered due to factors such as load variation, which should be kept in mind when making a diagnosis. Moreover, the assumption of uniformity may be valid for the model of one machine but not for others [23]. In many cases, the noise or the applied technique makes it difficult to distinguish the failures, so it is necessary to use an adequate technique of decomposition of the signal to obtain the instantaneous frequencies.…”

Section: Maintenance Through Non-invasive Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

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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Section: Maintenance Through Non-invasive Techniquesmentioning

confidence: 99%

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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“…All these influences complicate the utilization of frequency analysis methods. VSI-fed motor faults have been analyzed and initial results are given in literature [21][22][23][24][25][26][27] but further investigation is still required [28].…”

Section: Introductionmentioning

confidence: 99%

Analysis of fault signatures for the diagnosis of induction motors fed by voltage source inverters using ANOVA and additive models

Duque-Pérez

García-Escudero

Moriñigo-Sotelo

et al. 2015

Electric Power Systems Research

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“…The failure of the motor can cause substantial financial losses and even damage of the whole drive system. Needs of the analysis of an actual technical condition of IMs caused in the last years the great development of diagnostic methods and techniques, which could be used in the fault detection of IMs drives [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Stator and Rotor Faults Monitoring of the Inverter-Fed Induction Motor Drive using State Estimators

Kowalski

Wierzbicki²,

Wolkiewicz

2013

Automatika

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Original scientific paperThe paper deals with the application of the Extended Kalman Filter and the Extended Luenberger Observer algorithms for the stator and rotor fault detection of the induction motor fed by PWM inverter. The induction motor conditions are analyzed using estimated rotor and stator-winding resistance. Mathematical models of the extended state estimators are presented, in which the stator and rotor resistances are added as additional electromagnetic state variables. Experimental results for the inverter-fed induction motor, with shorted stator-turns and broken rotor bars, are presented and analysed.

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Advances in Diagnostic Techniques for Induction Machines

Cited by 998 publications

References 87 publications

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

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

Analysis of fault signatures for the diagnosis of induction motors fed by voltage source inverters using ANOVA and additive models

Stator and Rotor Faults Monitoring of the Inverter-Fed Induction Motor Drive using State Estimators

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