Bearing Fault Model for Induction Motor With Externally Induced Vibration

Immovilli, Fabio; Bianchini, Claudio; Cocconcelli, Marco; Bellini, A.; Rubini, Riccardo

doi:10.1109/tie.2012.2213566

Cited by 151 publications

(60 citation statements)

References 29 publications

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“…2) Bearings Fault Diagnosis Depending on the type and size of the machine, bearing faults account for approximately 40% (large machines) to 90% (small machines) of faults [45]. Although the use of vibration signals or even noise is widespread, their need for specific sensors and the frequently difficult discrimination between faults have stimulated research in FD methods based on other quantities [1].…”

Section: Fault Diagnosis Of Mechanical Failures 1) Fault Diagnosismentioning

confidence: 99%

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

Riera-Guasp

Antonino-Daviu

Capolino

2015

IEEE Trans. Ind. Electron.

486

234

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Section: Fault Diagnosis Of Mechanical Failures 1) Fault Diagnosismentioning

confidence: 99%

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

Riera-Guasp

Antonino-Daviu

Capolino

2015

IEEE Trans. Ind. Electron.

486

234

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“…EMA fault diagnosis poses an interesting research problem as it is composed of electrical, electronic, and mechanical subsystems, which results in intricate failure modes and effects. Any fault in these sub-assemblies needs to be successfully, and efficiently detected, identified, using a limited set of sensor signals available [1] while also avoiding false positive caused by environmental noise related to operating conditions [2].…”

Section: Introductionmentioning

confidence: 99%

Multistress Characterization of Fault Mechanisms in Aerospace Electric Actuators

Barater

Immovilli

Soldati

et al. 2017

IEEE Trans. on Ind. Applicat.

Self Cite

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Abstract1 -The concept behind the More Electric Aircraft (MEA) is the progressive electrification of on-board actuators and services. It is a way to reduce or eliminate the dependence on hydraulic, mechanical and the bleed air/pneumatic systems and pursue efficiency, reliability and maintainability. This paper presents a specialised test rig whose main objective is to assess insulation lifespan modelling under various stress conditions, especially investigating the interaction between ageing factors. The test set-up is able to reproduce a multitude of environmental and operational conditions at which electric drives and motors, used in aerospace applications, are subjected. It is thus possible to tailor the test cycle in order to mimic the working cycle of an electrical motor during real operation in aircraft application. The developed test-rig is aimed at projecting the technology readiness to higher levels of maturity, in the context of electrical motors and drives for aerospace applications. Its other objective is to validate and support the development of a comprehensive insulation degradation model.

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“…Bearings are important component of the rotating machinery and majority of the machine failures are linked with bearing problems [2]. Bearing failures create unplanned shutdown of the machine which leads to heavy production loss.…”

Section: Introductionmentioning

confidence: 99%

The Decision making System for Condition Monitoring of Induction Motors Based on Vector Control Model

Alwadie

2017

Machines

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Induction motors are mainly used for variable load applications and it is vital to have a condition monitoring system with capabilities to diagnose motor faults in variable load conditions. The environment noise varies has non-linear relation with motor load and it challenges the decision making capability of the condition monitoring system. This paper addresses the issue of reliable decision making on the existence of bearing faults in variable load conditions. Two type of threshold schemes have been proposed to reliably diagnose bearing faults in Park vector modulus spectrum. The performance of the developed threshold based condition monitoring system has been analyzed theoretically and experimentally.

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Bearing Fault Model for Induction Motor With Externally Induced Vibration

Cited by 151 publications

References 29 publications

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

Multistress Characterization of Fault Mechanisms in Aerospace Electric Actuators

The Decision making System for Condition Monitoring of Induction Motors Based on Vector Control Model

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