Rotor cage fault diagnosis in three-phase induction motors, by Park's vector approach

Cardoso, Alberto; Cruz, Sérgio M. A.; Carvalho, Jorge; Saraiva, E. S.

doi:10.1109/ias.1995.530360

Cited by 57 publications

(15 citation statements)

References 9 publications

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“…where static eccentricity when the position of minimum radial length of the air-gap is fixed in the space, in this case the rotor axis coincides with the shaft axis, but does not coincide with the stator axis. Further for dynamic eccentricity when the position of minimum radial length of the air-gap rotates with the rotor, in this case the shaft axis does not coincide with the rotor axis (the rotor does not rotate about its axis) [15][16]. This air gap eccentricity static and dynamic is illustrated in Figure 3:…”

Section: Air Gap Eccentricitymentioning

confidence: 99%

Continuous Wavelet Technique for Detection of Broken Bar Faults in Induction Machine

Chouidira¹,

Khodja²,

Chakroune³

2019

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The purpose of this study is diagnosis the fault of induction machine, through detection of broken bars by stator current analysis. Therefor we present a multi-winding model for the simulation of faults as part of the fault detection study, and test the behavior of the machine in the healthy and faulty state. In this paper it is focus the signal processing technique for detecting defects. This technique is based on continuous wavelet transform (CWT) to detect and locate defects, by using the multi-level decomposition for the detection of defects and the location of the broken bars at the rotor. The findings of this research results show the importance of this technique for the analysis of fault signatures in healthy and defective cases.

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Section: Air Gap Eccentricitymentioning

confidence: 99%

Continuous Wavelet Technique for Detection of Broken Bar Faults in Induction Machine

Chouidira¹,

Khodja²,

Chakroune³

2019

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“…Since then these transformed models have made a very significant contribution towards modeling [27], analysis [28], drives [29], fault diagnostics [30], [31] and design of various kinds of electrical machines.…”

Section: B Park's Vector Approachmentioning

confidence: 99%

A Survey of Broken Rotor Bar Fault Diagnostic Methods of Induction Motor

Asad

Rassõlkin

Kallaste

et al. 2018

Electrical, Control and Communication Engineering

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Electrical machines, induction motors in particular, play a key role in domestic and industrial applications. They act as a work horse in almost every industry and are responsible for a big proportion of total generated electricity consumption worldwide. The faults in induction motors are degenerative in nature and can lead to a catastrophic situation if not diagnosed earlier. The failures can cause considerable financial loss in the form of unexpected downtime. Broken rotor bar is a very common and frequently occurring fault in most of industrial induction motors. To select a better, more accurate and reliable fault diagnostic technique, this paper presents a comprehensive literature survey on the existing motor current signature analysis (MCSA) based fault diagnostic techniques. Different well-known MCSA based fault diagnostic techniques are summarized in the form of basic theories, considering complexity of their implementation, merits and demerits.

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“…Because a time-based signal is changed to an angular frequency signal, it can be easier to be analyzed [4][5][6][7]. This method has been widely applied in fault detection of the motor.…”

Section: Park's Vectormentioning

confidence: 99%

“…To extract features from the current signals, the vector-based approach was used to detect the fault pattern from the raw data. The Park's vector method was employed for the vector-based analysis [4][5][6][7]. This approach uses three-phase signals for feature extraction.…”

Section: Introductionmentioning

confidence: 99%

Fault Detection and Diagnosis of Winding Short in BLDC Motors Based on Fuzzy Similarity

Bae¹,

Kim²,

Vachtsevanos³

2009

International Journal of Fuzzy Logic and Intelligent Systems

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The turn-to-turn short is one major fault of the motor faults of BLDC motors and can appear frequently. When the fault happens, the motor can be operated without breakdown, but it is necessary to maintain the motor for continuous working. In past research, several methods have been applied to detect winding faults. The representative approaches have been focusing on current signals, which can give important information to extract features and to detect faults. In this study, current sensors were installed to measure signals for fault detection of BLDC motors. In this study, the Park's vector method was used to extract the features and to isolate the faults from the current measured by sensors. Because this method can consider the three-phase current values, it is useful to detect features from one-phase and three-phase faults. After extracting two-dimensional features, the final feature was generated by using the two-dimensional values using the distance equation. The values were used in fuzzy similarity to isolate the faults. Fuzzy similarity is an available tool to diagnose the fault without model generation and the fault was converted to the percentage value that can be considered as possibility of the fault.

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Rotor cage fault diagnosis in three-phase induction motors, by Park's vector approach

Cited by 57 publications

References 9 publications

Continuous Wavelet Technique for Detection of Broken Bar Faults in Induction Machine

Continuous Wavelet Technique for Detection of Broken Bar Faults in Induction Machine

A Survey of Broken Rotor Bar Fault Diagnostic Methods of Induction Motor

Fault Detection and Diagnosis of Winding Short in BLDC Motors Based on Fuzzy Similarity

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