Detection and classification of faults in induction motor by means of motor current signature analysis and stray flux monitoring

Ishkova, Ielyzaveta; Vitek, Ondrej

doi:10.15199/48.2016.04.36

Cited by 18 publications

(9 citation statements)

References 15 publications

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Section: Transient Analysis Of Stray Fluxesmentioning

confidence: 56%

“…For instance, the presence of rotor damages amplifies two types of components in the stray flux spectrum [36]: axial components (the most representative are those located at s•f and 3•s•f ) and radial components (the most relevant are the sideband components, LSH and USH). On the other hand, the existence of eccentricities yields components at f ± f r , but these are less affected by misalignments or load problems than the corresponding ones in the current spectrum, as reported in some works [38]. With the advent and development of the transient-based diagnosis approaches and the better knowledge of the signal processing tools that are available for the analysis of non-stationary signals, some works proposed the use of this technology for the diagnosis of emf signals that were induced by the stray flux under the transient operation of the machine.…”

Section: Transient Analysis Of Stray Fluxesmentioning

confidence: 60%

See 1 more Smart Citation

Electrical Monitoring under Transient Conditions: A New Paradigm in Electric Motors Predictive Maintenance

Antonino-Daviu

2020

Applied Sciences

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Electric motors condition monitoring is a field of paramount importance for industry. In recent decades, there has been a continuous effort to investigate new techniques and methods that are able to determine the health of these machines with high accuracy and reliability. Classical methods based on the analysis of diverse machine quantities under stationary conditions are being replaced by modern methodologies that are adapted to any operation regime of the machine (including transients). These new methods (especially those based on motor startup signal monitoring), which imply the use of advanced signal processing tools, have shown great potential and have provided spectacular advantages versus conventional approaches enabling, among other facts, a much more reliable determination of the machine health. This paper reviews the background of this recent condition monitoring trend and shows the advantages of this new approach with regard to its application to the analysis of electrical quantities. Examples referred to its application to real motors operating in industry are included, proving the huge potential of the transient-based approach and its benefits versus conventional methods.

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Section: Transient Analysis Of Stray Fluxesmentioning

confidence: 56%

Section: Transient Analysis Of Stray Fluxesmentioning

confidence: 60%

Electrical Monitoring under Transient Conditions: A New Paradigm in Electric Motors Predictive Maintenance

Antonino-Daviu

2020

Applied Sciences

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“…combination of static and dynamic eccentricities). Other authors [17] state that mixed eccentricities lead to the amplification of similar frequencies in the FFT spectrum of the steady-state flux.…”

Section: Analysis Of the Stray Flux Under The Startingmentioning

confidence: 95%

Evaluation of the Detectability of Electromechanical Faults in Induction Motors Via Transient Analysis of the Stray Flux

Ramirez-Nunez

Antonino-Daviu

Climente-Alarcón

et al. 2018

IEEE Trans. on Ind. Applicat.

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The stray flux that is present in the vicinity of an induction motor is a very interesting information source to detect several types of failures in these machines. The analysis of this quantity can be employed, in some cases, as a supportive tool to complement the diagnosis provided by other quantities. In other cases, when no other motor quantities are available, stray flux analysis can become one of the few alternatives to evaluate the motor condition. Its non-invasive nature, low cost and easy implementation makes it a very interesting option that requires further investigation. The aim of this work is to evaluate the suitability of the stray flux analysis under the starting transient as a way to detect certain faults in induction motors (broken rotor bars and misalignments), even when these types of faults coexist in the motor. To this end, advanced signal processing tools will be applied. Several positions of the flux sensors are considered in this study. Also, for the first time, a fault indicator based on the stray flux analysis under the starting is introduced and its sensitivity is compared versus other indicators relying on other quantities. It must be emphasized that, since the capture of the transient and steady-state flux signals can be carried out in the same measurement, the application of the approach presented in this work is straightforward and its derived information may become crucial for the diagnosis of some faults.

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“…Combination of static and dynamic eccentricities [12,14] the analysis of the second component from the principal component analysis (PCA). A criterion based on variance is created and allows for the identification and monitoring of the evolution of a short-circuit fault.…”

Section: Introductionmentioning

confidence: 99%

Transient envelope current analysis for inter-turn short-circuit detection in induction motor stator

Zaparoli

Baccarini

Filho

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Electrical machines are subject to faults which, depending on the type and importance of the plant, can cause material, economic and social damage. The reliability required for electric motors constantly grows due to the importance of their applications and technological advancement. One of these possible faults is an inter-turn short circuit of the stator winding. This is a very severe failure because its evolution to a worst fault is very fast. Thus, the initial detection of the inter-turn short circuit is of fundamental importance to avoid further damage to the motor. Steady-state analysis is not adequate when applied in some cases, such as unloaded machines, loads with oscillating torque and power with voltage fluctuations. The present work brings a new study of the transient current to analyze the beginning of inter-turn short circuits in the induction motor stator windings. The proposed methodology extracts the second component from the transient envelope of the motor starting current signals by principal component analysis. These components reflect the asymmetry caused by the initial short circuit and carry the desired fault information. By variance analysis it becomes possible to monitor the evolution of a short-circuit fault. Numerical and experimental signals are provided to validate the effectiveness of the novel technique.

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Detection and classification of faults in induction motor by means of motor current signature analysis and stray flux monitoring

Cited by 18 publications

References 15 publications

Electrical Monitoring under Transient Conditions: A New Paradigm in Electric Motors Predictive Maintenance

Electrical Monitoring under Transient Conditions: A New Paradigm in Electric Motors Predictive Maintenance

Evaluation of the Detectability of Electromechanical Faults in Induction Motors Via Transient Analysis of the Stray Flux

Transient envelope current analysis for inter-turn short-circuit detection in induction motor stator

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