Using Current Signature Analysis Technology to Reliably Detect Cage Winding Defects in Squirrel Cage Induction Motors

Culbert, Ian; Rhodes, W.G.

doi:10.1109/pcicon.2005.1524544

Cited by 46 publications

(22 citation statements)

References 1 publication

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“…More specifically, motor current monitoring is the best option to diagnose certain motor failures, such as eventual damages in the rotor cage. There are many works in the literature that have deepened in the application of current-based techniques to detect such failures in cage induction motors; the early works, published several decades ago, proposed the Fourier analysis of the steady-state current to assess the amplitude of different components amplified by the rotor fault [4][5][6]. This is the basic idea of the classical Motor Current Signature Analysis (MCSA) that has a widespread use in industry to detect rotor failures and is the technique implemented in the few available commercial devices for monitoring the rotor health condition.…”

Section: Introductionmentioning

confidence: 99%

Reliable Detection of Rotor Winding Asymmetries in Wound Rotor Induction Motors via Integral Current Analysis

Antonino-Daviu

Quijano-López

Climente-Alarcón

et al. 2017

IEEE Trans. on Ind. Applicat.

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Abstract-Current analysis has been widely employed in academy and industry for the diagnosis of rotor damages in cage induction motors. The conventional approach based on the FFT analysis of steady-state current (MCSA) has been recently complemented with the development of alternative techniques that rely on the time-frequency analysis of transient quantities of the machine. These techniques may bring important advantages that are related to the avoidance of eventual false indications provided by the classical MCSA. Moreover, their application is also suitable for variable speed conditions. However, the application of current-based methodologies to wound rotor induction motors (WRIM) has been much less studied and, hence, their validation in field WRIM is scarce. The present work proposes the application of an integral methodology based on the analysis of both stationary and transient currents for the diagnosis of winding asymmetries in WRIM. The method, based on up to five different fault evidences, is validated in laboratory motors and it is subsequently applied to a large field motor (1,500 kW) that was showing signs of abnormal rotor functioning. The results prove that the method is of interest for the field since it helps to ratify without ambiguity the existence of eventual asymmetries in the rotor windings, with no interference with the machine operation. However, due to the complex constructive nature of the rotor winding as well as the presence of auxiliary systems (slip rings, brushes, contactors, etc…), once the fault presence is detected, it may be interesting the utilization of complementary tools to accurately locate the root cause of the asymmetry.

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Section: Introductionmentioning

confidence: 99%

Reliable Detection of Rotor Winding Asymmetries in Wound Rotor Induction Motors via Integral Current Analysis

Antonino-Daviu

Quijano-López

Climente-Alarcón

et al. 2017

IEEE Trans. on Ind. Applicat.

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“…There are a number of MCSA products that rely on the measurement and analysis of the spectrum of one of the three phases of the stator current [1]- [2]. If measurement of only one phase is available, positive and negative sequence current vectors, , and , , cannot be distinguished.…”

Section: A False Positive Rotor Fault Indication Due To Bpf Vibratiomentioning

confidence: 99%

Influence of Blade Pass Frequency Vibrations on MCSA-Based Rotor Fault Detection of Induction Motors

Park

Jeong

Lee

et al. 2017

IEEE Trans. on Ind. Applicat.

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“…Por outro lado, a relação entre as amplitudes destas componentes e a amplitude da componente fundamental da corrente, reflete a gravidade da falha ocorrida [5], [17]. Atendendo a (3), (4) e (5), o módulo do vetor (P) é dado por:…”

Section: Deteção De Avariasunclassified

Manutenção e Diagnóstico de Avarias em Motores de Indução Trifásicos

Melo¹

2017

neutroaterra

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Resumo IntroduçãoOs motores elétricos são elementos centrais em qualquer processo industrial atual. Na União Europeia, a sua utilização está associada a cerca de 70% da energia consumida no sector industrial. Em Portugal, verifica-se um valor semelhante para o mesmo sector, sendo que 30% do total de energia elétrica consumida no país é da responsabilidade dos motores elétricos [1]. Neste contexto, os motores de indução trifásicos (MI3) assumem uma importância determinante: cerca de 90% dos motores de corrente alternada utilizados são deste tipo, em particular, a variante de gaiola de esquilo.

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Using Current Signature Analysis Technology to Reliably Detect Cage Winding Defects in Squirrel Cage Induction Motors

Cited by 46 publications

References 1 publication

Reliable Detection of Rotor Winding Asymmetries in Wound Rotor Induction Motors via Integral Current Analysis

Reliable Detection of Rotor Winding Asymmetries in Wound Rotor Induction Motors via Integral Current Analysis

Influence of Blade Pass Frequency Vibrations on MCSA-Based Rotor Fault Detection of Induction Motors

Manutenção e Diagnóstico de Avarias em Motores de Indução Trifásicos

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