Electric machines diagnosis techniques via transient current analysis

Pons-Llinares, J.; Climente-Alarcón, Vicente; Vedreno-Santos, F.; Antonino-Daviu, José A.; Riera-Guasp, M.

doi:10.1109/iecon.2012.6389270

Cited by 28 publications

(21 citation statements)

References 57 publications

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“…Fig. 4 depicts a schematic representation of the main features of each group that were well discussed in previous papers [27][28].…”

Section: Skf Explorer 6204 Skf Explorer 6202mentioning

confidence: 97%

“…Hence, they enable to visualise how the frequencies of eventual fault-related components evolve over time. The evolutions of these components lead to very characteristic t-f patterns that can be employed to diagnose the presence of the failure [11,28]. The use of these characteristic patterns provides a high reliability for the diagnostic of the motor condition and avoids eventual false indications of the traditional methods [11,13,28].…”

Section: Time-frequency Toolsmentioning

confidence: 99%

“…The evolutions of these components lead to very characteristic t-f patterns that can be employed to diagnose the presence of the failure [11,28]. The use of these characteristic patterns provides a high reliability for the diagnostic of the motor condition and avoids eventual false indications of the traditional methods [11,13,28]. Moreover, the computation of the energy or other features such as the entropy [25] at certain predefined regions of the time-frequency map enables to define fault indicators to determine the severity of the failure.…”

Section: Time-frequency Toolsmentioning

confidence: 99%

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Time-frequency vibration analysis for the detection of motor damages caused by bearing currents

Prudhom

Antonino-Daviu

Razik

et al. 2017

Mechanical Systems and Signal Processing

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“…Fig. 4 depicts a schematic representation of the main features of each group that were well discussed in previous papers [27][28].…”

Section: Skf Explorer 6204 Skf Explorer 6202mentioning

confidence: 97%

Section: Time-frequency Toolsmentioning

confidence: 99%

Section: Time-frequency Toolsmentioning

confidence: 99%

See 1 more Smart Citation

Time-frequency vibration analysis for the detection of motor damages caused by bearing currents

Prudhom

Antonino-Daviu

Razik

et al. 2017

Mechanical Systems and Signal Processing

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“…In this regard, Short Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), Wigner-Ville Distribution (WVD), or Choi-Williams Distributions (CWD) among others, have been successfully applied in the literature. Technical details of these transforms can be found in [17][18].…”

Section: Discrete and Continuous Analysis Toolsmentioning

confidence: 99%

“…These tools are known as Time-Frequency Decomposition (TFD) tools. There is a wide variety of TFD tools [17]. In the context of the considered application, they can be classified into two main groups: 1) Discrete transforms: these are usually simpler tools, with relatively low computational burden.…”

Section: Discrete and Continuous Analysis Toolsmentioning

confidence: 99%

Advanced Rotor Fault Diagnosis for Medium-Voltage Induction Motors Via Continuous Transforms

Antonino-Daviu

Pons-Llinares

Lee

2016

IEEE Trans. on Ind. Applicat.

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-A number of field case studies for rotor fault diagnosis on medium voltage induction motors operating in a petrochemical plant are presented in this paper. The methodology employed is based on analyzing the induction motor startup current with advanced signal processing tools (Continuous Transforms) that enable a capture of a 'complete picture' of the rotor condition. Indeed, unlike the classical tools that often rely on the detection of few fault frequencies, these new tools allow extraction of the evolution of a wide range of fault components during the startup transient and steady-state evolutions, which enables improved reliability. This is crucial in medium-high voltage motors, where a false diagnosis may result in significant expense due to inspection, repair, or forced outage.An additional contribution of the work is its immunity to external voltage supply disturbances, which introduce components that are not related to the failure, and which are difficult to detect with classical tools. The results of the work prove how the advanced continuous tools enable an improved visualization of the fault components, distinguishing them from the other components that are not linked to the failure.

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Fault Diagnosis of Induction Motors, Introduction

Riera-Guasp¹

2022

Wiley Encyclopedia of Electrical and Electronics Engineering

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This article is intended as an introduction to the field of induction machine fault diagnosis. Its objective is to give an overview of the problems that arise in this field and the methodologies used to solve them, so that readers are given access to the abundant available technical literature. In the first part of the article, basic concepts and terminology used in this field are introduced. A classification of the different types of faults is made, and the concepts of on‐line, off‐line, stationary or transitory diagnosis, and diagnostic methodologies in the time domain, frequency domain, or the time–frequency domain are explained. The most widely used mathematical tools are also introduced in a conceptual way and are related to the previous concepts. In the second part of the article, a section is dedicated to each of the main types of faults. In each case, the causes of the fault, the consequences, and the physical phenomena they produce are explained. These physical phenomena are the basis of the fault diagnosis techniques, which are explained below. For each type of fault, the most widely used methodologies in the industrial field are presented, and in some cases alternative methods proposed in the literature, aimed at solving specific problems, are also commented. Throughout the article numerous examples based on laboratory tests and measurements obtained under real operating conditions are presented, which facilitate the understanding of the concepts being explained.

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Electric machines diagnosis techniques via transient current analysis

Cited by 28 publications

References 57 publications

Time-frequency vibration analysis for the detection of motor damages caused by bearing currents

Time-frequency vibration analysis for the detection of motor damages caused by bearing currents

Advanced Rotor Fault Diagnosis for Medium-Voltage Induction Motors Via Continuous Transforms

Fault Diagnosis of Induction Motors, Introduction

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