Exploiting sound signals for fault diagnosis of bearings using decision tree
Integrity signals
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C4.5-induced decision tree has been introduced into fault diagnosis of bearings, gearboxes, rotor systems, and centrifugal pumps.
“The C4.5-induced decision tree has been introduced into the fault diagnosis of rolling element bearings [82,301,302], gearboxes [303], rotor systems [304], and centrifugal pumps [305].”
From Applications of machine learning to machine fault diagnosis: A review and roadmap (2020) · cites this paper as [301]
Cites
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Self-citationStatistical analysis of sound and vibration signals for monitoring rolling element bearing condition
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DETECTION OF GEAR FAILURES VIA VIBRATION AND ACOUSTIC SIGNALS USING WAVELET TRANSFORM
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Wavelet decomposition of vibrations for detection of bearing-localized defects
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Effect of number of features on classification of roller bearing faults using SVM and PSVM
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Self-citationFAULT DIAGNOSIS OF ROTATING MACHINERY THROUGH VISUALISATION OF SOUND SIGNALS
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Classification of gear faults using cumulants and the radial basis function network
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Self-citationAn approach to fault diagnosis of vacuum cleaner motors based on sound analysis
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Fault diagnosis of rotating machinery through visualization of sound signals
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Fault diagnosis of vacuum cleaner motors
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Applications of machine learning to machine fault diagnosis: A review and roadmap
Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106587 · Cited by 2,997 · see citing works
- Authors
- Amarnath, M., Sugumaran, V., & Kumar, H.
- Affiliations
- Indian Institute of Information Technology Design and Manufacturing Jabalpur (IN)
- Vellore Institute of Technology University (IN)
- Birla Institute of Technology and Science, Pilani - Goa Campus (IN)
- Corresponding author
- Sugumaran, V.
- Venue
- Measurement
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 46
- Issue
- 3
- Pages
- 1250-1256
- ISSN
- 0263-2241 (ISSN-L)
- OpenAlex
- W1997384358
- Cited by
- 179
- References
- 18
- Citations by year
- 2026: 9 · 2025: 25 · 2024: 16 · 2023: 21 · 2022: 20 · 2021: 17 · 2020: 21 · 2019: 11 · 2018: 9 · 2017: 7 · 2016: 10 · 2015: 6 · 2014: 4 · 2013: 3
- FWCI
- 6.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Measurement (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- bearing fault diagnosis, acoustic signals, decision tree, C4.5 algorithm, feature selection, dimensionality reduction, rotating machinery
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