Pattern Recognition-A Technique for Induction Machines Rotor Broken Bar Detection

Haji, Moosa Moghimi; Toliyat, H.A.

doi:10.1109/mper.2001.4311225

Cited by 54 publications

(12 citation statements)

References 21 publications

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“…Then, we estimate the magnitude index of each modulation frequency in the same way as (19). At the end, with (15), (16), (18) and (22), we can calculate the global modulation index M gmc , the oscillation index M goc and the global fault index M tc specific to the line current spectrum and the global modulation index M gmp , the oscillation index M gop , the global fault index M tp and the low frequency global fault index M t lf specific to the instantaneous power spectrum. We made a comparison between those seven various indexes in the continuation of paper to find which is the most judicious to base the diagnosis of broken rotor bars.…”

Section: Resultsmentioning

confidence: 99%

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Fault detection of broken rotor bars in induction motor using a global fault index

Didier

Ternisien

Caspary

et al. 2006

IEEE Trans. on Ind. Applicat.

130

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Induction motors play a very important part in the safe and efficient running of any industrial plant. Early detection of abnormalities in the motor would help to avoid costly breakdowns. Accordingly, this work presents a technique for the diagnosis of broken rotor bars in induction motor. Stator voltage and current in an induction motor were measured and employed for computation of the input power of one stator phase. Waveforms of the instantaneous power and line current were subsequently analyzed using the Bartlett periodogram. We evaluate different global fault indexes on the instantaneous power spectrum and on the line current spectrum for the fault detection. Several rotor cage faults of increasing severity were studied with various load effects. Experimental results prove the efficiency of the employed method.

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Section: Resultsmentioning

confidence: 99%

“…If we make a comparison to other techniques such as pattern recognition [18] or neural networks ones, this approach presents some advantages. First, our method does not need a training to create a classifier (only a few tests with a healthy rotor at a specific load are needed).…”

Section: Resultsmentioning

confidence: 99%

Fault detection of broken rotor bars in induction motor using a global fault index

Didier

Ternisien

Caspary

et al. 2006

IEEE Trans. on Ind. Applicat.

130

View full text Add to dashboard Cite

show abstract

“…The broken bars also give rise to a sequence of other sidebands given by [7] where (4) and are depicted conceptually in Fig. 1.…”

Section: Motor Current Spectral Components For Broken Rotor Barmentioning

confidence: 99%

“…, where is the fundamental stator current frequency and is the slip. and are the first lower and upper sidebands, while and are the second lower and upper sidebands around , which are expressed mathematically in (4). The inputs for the MDA units in the monolith and partition schemes thus consist of the signature set .…”

Section: Motor Current Spectral Components For Broken Rotor Barmentioning

confidence: 99%

“…The early detection of the incipient motor fault is thus of great concern. Rotor failures are among these failures, and they now account for 5%-10% of total induction motor failures [4]. Several monitoring techniques have been developed for broken rotor bar fault detection, most of which are based on motor current signature analysis (MCSA).…”

Section: Introductionmentioning

confidence: 99%

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Multiple Signature Processing-Based Fault Detection Schemes for Broken Rotor Bar in Induction Motors

Ayhan

Chow

Song³

2005

IEEE Trans. On Energy Conversion

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The existence of broken rotor bars in induction motors can be detected by monitoring any abnormality of the spectrum amplitudes at certain frequencies in the motor current spectrum. It has been shown that these broken rotor bar-specific frequencies are settled around the fundamental stator current frequency and are termed lower and upper sideband components. Broken rotor bar fault detection schemes should depend on multiple signatures in order to overcome or reduce the effect of any misinterpretation of the signatures that are obscured by factors such as measurement noises and different load conditions. Multiple discriminant analysis (MDA) provides an appropriate environment to develop such fault detection schemes because of its multi-input processing capabilities. The focus of this paper is to provide a new fault detection methodology for broken rotor bar fault detection and diagnostics in terms of its multiple signature processing feature and the motor operation partitioning concept to improve the overall detection performance. This paper describes two fault detection schemes within this methodology, and demonstrates that multiple signature processing is more efficient than single signature processing. The first scheme, which will be named the "monolith scheme," is based on a single large-scale MDA unit representing the complete operating load torque region of the motor, while the second scheme, which will be named the "partition scheme," consists of many small-scale MDA units, each unit representing a particular load torque operating region.

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Condition monitoring of induction motors via instantaneous power analysis

et al. 2015

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ABSTRAK ix LIST OF FIGURES xiv LIST OF TABLES xx CHAPTER 1 INTRODUCTION 1.1 Background 1 1.2 Motivation.. 1.3 The Shortcomings of Previous Research Work on Condition Monitoring 1.4 Objectives and Contribution of the Research 1.5 Outlines of the Thesis CHAPTER 2 LITERATURE REVIEW 2.1 Introduction 2.2 Overview of the Induction Motors 2.3 Faults in Induction Motor 2.3.1 Mechanical Defects 2.3.1.1 Bearing Defects 2.3.1.

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Pattern Recognition-A Technique for Induction Machines Rotor Broken Bar Detection

Cited by 54 publications

References 21 publications

Fault detection of broken rotor bars in induction motor using a global fault index

Fault detection of broken rotor bars in induction motor using a global fault index

Multiple Signature Processing-Based Fault Detection Schemes for Broken Rotor Bar in Induction Motors

Condition monitoring of induction motors via instantaneous power analysis

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