Minimum Distance-Based Detection of Incipient Induction Motor Faults Using Rayleigh Quotient Spectrum of Conditioned Vibration Signal-Reference-Cited by-同舟云学术

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Minimum Distance-Based Detection of Incipient Induction Motor Faults Using Rayleigh Quotient Spectrum of Conditioned Vibration Signal

Published:2021 Issue: Volume:70 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Samanta Anik Kumar^ORCID,Routray Aurobinda^ORCID,Khare Swanand R.^ORCID,Naha Arunava^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9259274/09312436.pdf?arnumber=9312436

Cited by 21 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. An Extremely Close Vibration Frequency Signal Recognition Using Deep Neural Networks;Applied Sciences;2024-03-28

2. A Condition Monitoring Method via Optimization-Based Adaptive Feature Extraction Strategy;IEEE Transactions on Instrumentation and Measurement;2024

3. Moving Horizon Fault Estimation for Nonlinear Stochastic Systems With Unknown Noise Covariance Matrices;IEEE Transactions on Instrumentation and Measurement;2024

4. A Noise Invariant Method for Bearing Fault Detection and Diagnosis Using Adapted Local Binary Pattern (ALBP) and Short-Time Fourier Transform (STFT);IEEE Access;2024

5. Realizing On-Chip Digital Twin for Event Tracking in Squirrel Cage Induction Motors and Drives;2023 11th National Power Electronics Conference (NPEC);2023-12-14

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