On the broken rotor bar diagnosis using time–frequency analysis: ‘Is one spectral representation enough for the characterisation of monitored signals?’-Reference-Cited by-同舟云学术

On the broken rotor bar diagnosis using time–frequency analysis: ‘Is one spectral representation enough for the characterisation of monitored signals?’

Published:2019-05-17 Issue:7 Volume:13 Page:932-942
ISSN:1751-8660
Container-title:IET Electric Power Applications
language:en
Short-container-title:IET Electric Power Applications

Author:

Panagiotou Panagiotis A.¹^ORCID,Arvanitakis Ioannis¹,Lophitis Neophytos¹,Antonino‐Daviu Jose A.²,Gyftakis Konstantinos N.¹

Affiliation:

1. Faculty of Engineering, Environment & ComputingSchool of CEMCoventry University1 Gulson RdCV1 2JHCoventryUK

2. Instituto Tecnológico de la EnergíaUniversitat Politecnica de ValenciaCamino de Vera s/n46022ValenciaSpain

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-epa.2018.5512

Reference57 articles.

1. Broken rotor bars: their effect on the transient performance of induction machines

2. Stator-Current Spectrum Signature of Healthy Cage Rotor Induction Machines

3. Quantitative evaluation of induction motor broken bars by means of electrical signature analysis

4. A frequency-domain detection of stator winding faults in induction machines using an external flux sensor

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BASSA: New software tool reveals hidden details in visualisation of low‐frequency animal sounds;Ecology and Evolution;2024-07

2. Broken Rotor Bar Detection Based on Steady-State Stray Flux Signals Using Triaxial Sensor with Random Positioning;Sensors;2024-05-12

3. Assessment of Induction Motor with Rotor Fault Using a FEM-3D Model;2022 IEEE Power and Energy Conference at Illinois (PECI);2022-03-10

4. Broken Bar Fault Detection and Diagnosis Techniques for Induction Motors and Drives: State of the Art;IEEE Access;2022

5. The Use of Digital Twins in Finite Element for the Study of Induction Motors Faults;Sensors;2021-11-25