Diagnostic system for on-line detection of rotor faults in induction motor drives

Fišer, Rastko; Lavric, Henrik; Ambrozic, V.; Bugeza, M.

doi:10.1109/demped.2011.6063605

Cited by 8 publications

(5 citation statements)

References 17 publications

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“…As well known, the MCSA is one of the most powerful methods of motor faults diagnosis [6][7][8][9][10][11]. This method uses the current spectra of one phase, which contains potential information of most motor faults.…”

Section: Overview Of Spectral Contents Of Stator Currentmentioning

confidence: 99%

“…Usually, these fault indicators are generated using the magnitudes of (1 − 2s)f s and/or (1 + 2s)f s sidebands as shown in [6][7][8][9]. However, some researchers [10] have reported that (1 ± 2s)f s can be insufficient for correct detection of rotor cage faults and additional sidebands, around the 5 th and 7 th time harmonic frequencies, may be significantly useful for rotor faults diagnosis [11].…”

Section: Introductionmentioning

confidence: 99%

“…In fact, the development of new diagnosis methods and the definition of pertinent fault indicators are only the first steps toward reliable fault detection results; the next step should be the elaboration of a complete automatic algorithm that exploits these techniques and indicators. Recently, intensive research efforts are focusing on development and implementation of fault-diagnosis algorithms [3,9,[18][19][20]26], the main object of all these researches is to allow even relatively unskilled users to make an automatic, fast and reliable decision on machine health with low requirements. In this context, the present paper proposes an improved and robust algorithm for the detection of rotor faults, such as broken rotor bars, in induction machines.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Rotor fault detection algorithm based on a new fault indicator for induction motors fed from an industrial frequency inverter

Sahraoui

Ghoggal

Zouzou

et al. 2015

International Journal of Applied Electromagnetics and Mechanics

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This paper proposes an improved rotor fault detection algorithm. The main objects are: First, ameliorate the reliability of the rotor fault detection task especially under very low load in the presence of industrial frequency inverter. Second, allow even relatively unskilled users to make an automatic, fast and reliable decision on machine health with low requirements. Basing on the concept of multiple signature processing, the proposed algorithm uses Relative Harmonic Indexes (RHI) as a new fault indicator. The RHI are computed starting from many harmonics selected carefully according to their sensitivity to the occurrence of rotor bar faults, this represents its main advantage compared to the classical fault indicators which use only one or two fault signatures leading commonly to erroneous diagnosis especially under low load. The proposed algorithm requires only the stator current signal. For each data acquisition, the algorithm computes, normalises and classifies the RHI then it displays the obtained results in a simple manner. Extensive experimental tests, carried out on a 3 kW squirrel cage induction motor fed from an industrial frequency inverter, confirm the effectiveness of the proposed algorithm in detecting of rotor bar fault under different operation conditions even with very low loads.

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Section: Overview Of Spectral Contents Of Stator Currentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Rotor fault detection algorithm based on a new fault indicator for induction motors fed from an industrial frequency inverter

Sahraoui

Ghoggal

Zouzou

et al. 2015

International Journal of Applied Electromagnetics and Mechanics

View full text Add to dashboard Cite

show abstract

“…Os dispositivos de proteção convencionais dos motores elétricos atuam somente após a ocorrência de falhas [3] (e.g., relés & disjuntores magneto-térmicos: curto-circuitos entre fases ou fase-terra, sobrecargas, defeitos à terra, flutuações e desequilíbrios nas tensão; fusíveis: curtocircuitos; proteções diferenciais: contra contactos indiretos).…”

Section: Introductionunclassified

“…Finalmente, a Secção 7 contém as conclusões finais. • As características da máquina (e.g., assimetrias construtivas no estator e rotor, saturação magnética) podem levar a alterações no sinal da corrente, semelhantes à ocorrência de certas falhas, introduzindo erros nos diagnósticos de deteção de falhas [3];…”

Section: Introductionunclassified

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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Evaluation of simplified dq model of induction machine for development of diagnostic procedures

Nemec

Drobnic

Lavric

et al. 2013

2013 International Conference-Workshop Compatibility and Power Electronics

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Diagnostic system for on-line detection of rotor faults in induction motor drives

Cited by 8 publications

References 17 publications

Rotor fault detection algorithm based on a new fault indicator for induction motors fed from an industrial frequency inverter

Rotor fault detection algorithm based on a new fault indicator for induction motors fed from an industrial frequency inverter

Manutenção e Diagnóstico de Avarias em Motores de Indução Trifásicos

Evaluation of simplified dq model of induction machine for development of diagnostic procedures

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