Pattern recognition based on-line vibration monitoring system for fault diagnosis of automobile gearbox
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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 [303]
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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
- Praveenkumar, T., Sabhrish, B., Saimurugan, M., & Ramachandran, K. I.
- Affiliations
- Amrita Vishwa Vidyapeetham (IN)
- Venue
- Measurement
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 114
- Pages
- 233-242
- ISSN
- 0263-2241 (ISSN-L)
- OpenAlex
- W2758514457
- Cited by
- 83
- References
- 40
- Citations by year
- 2026: 4 · 2025: 14 · 2024: 7 · 2023: 9 · 2022: 12 · 2021: 11 · 2020: 15 · 2019: 6 · 2018: 5
- FWCI
- 4.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Measurement (publishedVersion)
- Funders
- Defence Research and Development Organisation
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Mechanical Engineering › Gear and Bearing Dynamics Analysis
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Keywords
- automotive transmission, fault diagnosis, vibration monitoring, online condition monitoring, decision tree classification, time-domain analysis, frequency domain analysis, accelerometer data, tooth fracture, pattern recognition
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