A Tacholess Order Tracking Method Based on Spectral Amplitude Modulation for Variable Speed Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

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A Tacholess Order Tracking Method Based on Spectral Amplitude Modulation for Variable Speed Bearing Fault Diagnosis

Published:2023 Issue: Volume:72 Page:1-8
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Jiang Zuhua¹^ORCID,Zhang Kun¹^ORCID,Zhang Xiangfeng²^ORCID,Xu Yonggang³^ORCID

Affiliation:

1. Department of Materials and Manufacturing, Beijing University of Technology, Beijing, China

2. School of Mechanical Engineering, Xinjiang University, Urumqi, China

3. Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10138234.pdf?arnumber=10138234

Reference17 articles.

1. Rolling element bearing defect detection using the generalized synchrosqueezing transform guided by time–frequency ridge enhancement

2. Order Spectrum Analysis for Bearing Fault Detection via Joint Application of Synchrosqueezing Transform and Multiscale Chirplet Path Pursuit

3. The spectral amplitude modulation: A nonlinear filtering process for diagnosis of rolling element bearings

4. Synchronous chirp mode extraction: A promising tool for fault diagnosis of rolling element bearings under varying speed conditions

5. Rotating speed isolation and its application to rolling element bearing fault diagnosis under large speed variation conditions

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1. Adaptive residual spectral amplitude modulation: A new approach for bearing diagnosis under complex interference environments;Mechanical Systems and Signal Processing;2024-11

2. A post-processing method called Fourier transform based on local maxima of autocorrelation function for extracting fault feature of bearings;Advanced Engineering Informatics;2024-10

3. Segmentalized amplitude normalization in feature extraction technique for diagnostics enhancement of bearing deterioration under varying speeds;Journal of Low Frequency Noise, Vibration and Active Control;2024-09-12

4. Tacholess Time Synchronous Averaging for Gear Fault Diagnosis in Wind Turbine Gearboxes Using a Single Accelerometer;Machines;2024-06-20

5. Order tracking analysis using maximum likelihood estimator in the presence of crossing orders and low-resolution tacho signal;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-06-20

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