Synchronous fault feature extraction for rolling bearings in a generalized demodulation framework Article Swipe
Kangning Liu
,
Juanjuan Shi
,
Changqing Shen
,
Weiguo Huang
,
Zhongkui Zhu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1361-6501/acd2f5
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1361-6501/acd2f5
Generalized demodulation (GD) has the potential to process non-stationary vibration signals since it can demodulate a signal with a curved time–frequency (TF) ridge into a signal, with a TF ridge parallel to a time axis with an improved time-frequency representation (TFR) energy concentration level. However, current GD methods require iteration operations and cannot simultaneously deal with vibrations from multiple components of rolling bearings. This paper proposes a method based on the GD framework, which can simultaneously demodulate multiple components of interest using the Hadamard product between matrices. A synchronous extractor is also constructed to post-process TFRs of generalized demodulated signals to further improve the TF aggregation. Unlike the conventional synchronous extraction transform, the synchronous extractor in this paper can be directly applied to TF ridges parallel to the time axis without the estimation of instantaneous frequencies (IFs). Then, the post-processed TF ridges are backward demodulated to restore the actual IF. The proposed synchronous fault feature extraction method in the GD framework also allows for the signal reconstruction. Both simulated and experimental signals are applied to validate the effectiveness of the proposed method for rolling bearing fault diagnosis.
Related Topics
Concepts
Demodulation
Fault (geology)
Computer science
SIGNAL (programming language)
Vibration
Extractor
Feature (linguistics)
Algorithm
Time–frequency analysis
Instantaneous phase
Control theory (sociology)
Ridge
Process (computing)
Acoustics
Artificial intelligence
Engineering
Physics
Computer vision
Telecommunications
Geology
Seismology
Programming language
Philosophy
Linguistics
Control (management)
Channel (broadcasting)
Operating system
Filter (signal processing)
Paleontology
Process engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1361-6501/acd2f5
- https://iopscience.iop.org/article/10.1088/1361-6501/acd2f5/pdf
- OA Status
- hybrid
- Cited By
- 6
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4372348744
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4372348744Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1361-6501/acd2f5Digital Object Identifier
- Title
-
Synchronous fault feature extraction for rolling bearings in a generalized demodulation frameworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-05Full publication date if available
- Authors
-
Kangning Liu, Juanjuan Shi, Changqing Shen, Weiguo Huang, Zhongkui ZhuList of authors in order
- Landing page
-
https://doi.org/10.1088/1361-6501/acd2f5Publisher landing page
- PDF URL
-
https://iopscience.iop.org/article/10.1088/1361-6501/acd2f5/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1361-6501/acd2f5/pdfDirect OA link when available
- Concepts
-
Demodulation, Fault (geology), Computer science, SIGNAL (programming language), Vibration, Extractor, Feature (linguistics), Algorithm, Time–frequency analysis, Instantaneous phase, Control theory (sociology), Ridge, Process (computing), Acoustics, Artificial intelligence, Engineering, Physics, Computer vision, Telecommunications, Geology, Seismology, Programming language, Philosophy, Linguistics, Control (management), Channel (broadcasting), Operating system, Filter (signal processing), Paleontology, Process engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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