Induction motor stator fault diagnosis technique using Park vector approach and complex wavelets

Spyropoulos, Dionysios V.; Mitronikas, Epaminondas D.

doi:10.1109/icelmach.2012.6350114

Cited by 15 publications

(14 citation statements)

References 15 publications

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“…The phase angles are defined as

ϕ_{f}

for the fundamental frequency,

ϕ_{l}

and

ϕ_{r}

for the lower and upper side‐band components, respectively. The analysed stator‐current signal can be from one of the supply phases or from the three phases presented in the Park's vector transform [51–53].…”

Section: Fault Signaturesmentioning

confidence: 99%

Induction motor broken rotor bar fault detection techniques based on fault signature analysis – a review

Hassan

Amer

Abdelsalam

et al. 2018

IET Electric Power Applications

120

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The induction motor is the most popular motor in energy conversion and industrial drive systems. This popularity is due to its robustness, low cost, and easy maintenance. Electrical, mechanical, thermal, magnetic and environmental stresses cause faults in the induction motor during the operation process. One of the challenging topics for many researchers is the development of a reliable efficient induction motor fault diagnostic techniques. The broken rotor bar fault is one of the critical faults that need to be early detected due to its sudden severe damages. The objective of this study is to present a survey of existing broken rotor bar fault detection techniques with new classification based on fault signature. Various monitoring conditions and signal processing techniques are considered for the detection process. A comprehensive list of references is reported for each fault signature and classified based on (i) loading level, (ii) the number of broken bars, (iii) validation and (vi) signal processing.

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“…The phase angles are defined as

ϕ_{f}

for the fundamental frequency,

ϕ_{l}

and

ϕ_{r}

Section: Fault Signaturesmentioning

confidence: 99%

Induction motor broken rotor bar fault detection techniques based on fault signature analysis – a review

Hassan

Amer

Abdelsalam

et al. 2018

IET Electric Power Applications

120

View full text Add to dashboard Cite

show abstract

“…Usually insulation defects are the result of long-term aging or contamination mainly because of the very high operating temperature. While the major failure contributors are abnormal moisture, poor ventilation, high vibration, abnormal voltage, and persistent overloading [16], an insulation failure, typically, takes less than 30 s to expand and finally leads to the destruction of the stator core [9][10][11][12][13][14][18][19][20][21].…”

Section: Stator Faults In Ac Machinesmentioning

confidence: 99%

“…The existence of a stator fault could be detected using the line currents of the machine. Under ideal conditions, the current Park vector components ( , ) are calculated in terms of mains phase variables ( , , ) as [19][20][21]…”

Section: Stator Faults In Ac Machinesmentioning

confidence: 99%

A Review on the Faults of Electric Machines Used in Electric Ships

Spyropoulos

Mitronikas

2013

Advances in Power Electronics

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Electric propulsion systems are today widely applied in modern ships, including transport ships and warships. The ship of the future will be fully electric, and not only its propulsion system but also all the other services will depend on electric power. The robust and reliable operation of the ship’s power system is essential. In this work, a review on the mechanical and electrical faults of electric machines that are used in electric ships is presented.

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“…The reseachers in [20] and [21] used Park's vector analysis to detect stator faults in induction motors under varying loads. The authors of [22] used Park's vector analysis to detect the faults in the outer race of the bearing.…”

Section: Introductionmentioning

confidence: 99%

Bearing Fault Detection in Induction Motors Using Line Currents

Sunder

Abishek

et al. 2021

ECTI-EEC

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This paper focuses on the development of a bearing fault detection model for induction motors using line currents. The graphical and numerical analysis of the model has been developed using the park's vector approach and envelope based on the Hilbert transform. The proposed model has been evaluated on currents measured from eight different types of induction motors. The graphical results from the Concordia pattern between d- and q-components of stator currents show that healthy bearing behaviour is circular compared to the faulty bearing's elliptical. The numerical results show that the minimum and maximum envelope of d- and q-components of stator currents is more significant than one. The sum of Kurtosis for the envelope of d- and q-components of stator currents is less than 5.0.

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Induction motor stator fault diagnosis technique using Park vector approach and complex wavelets

Cited by 15 publications

References 15 publications

Induction motor broken rotor bar fault detection techniques based on fault signature analysis – a review

Induction motor broken rotor bar fault detection techniques based on fault signature analysis – a review

A Review on the Faults of Electric Machines Used in Electric Ships

Bearing Fault Detection in Induction Motors Using Line Currents

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