Extraction and use of frequency-domain relationships between time-varying gear meshing properties and diagnostic measurements Article Swipe
Yuanning Mao
,
Pietro Borghesani
,
Zhan Yie Chin
,
Robert B. Randall
,
Zhongxiao Peng
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ymssp.2023.110129
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ymssp.2023.110129
In gears, the key diagnostic information is carried in the gearmesh stiffness and geometric profile errors. These two key gear meshing properties combine nonlinearly with rotations and displacements of the gear shafts to produce a time-varying gearmesh force. This in turn passes through the system dynamic response before finally resulting in actual diagnostic measurements (e.g., vibration or transmission error). The closed form analysis of such transfer paths is rendered impractical by the complexity of the time-varying gearmesh force, and has therefore so far mostly been studied through time-domain simulations. Inspired by a previous linearisation method, this paper develops a matrix-based procedure on a multiple-degree-of-freedom (MDOF) system to linearise the relationship between time-varying gear meshing properties (stiffness and geometric error) and measurements, thus producing frequency response functions (FRFs) between these key diagnostic inputs and the measurements. This FRFs are then used specifically to study the scarcely employed but highly promising diagnostic measurement of transmission error (TE), which is obtained by combining encoder measurements from the two gear shafts. The analysis of TE includes both an application of its experimental measurement for crack diagnostics under different operating conditions, and a discussion of the properties of the TE-FRF that make TE more robust to different operating conditions.
Related Topics
Concepts
Time domain
Frequency domain
Frequency response
Vibration
Stiffness
Encoder
Transmission (telecommunications)
Control theory (sociology)
Computer science
Stiffness matrix
Degrees of freedom (physics and chemistry)
Structural engineering
Engineering
Acoustics
Algorithm
Artificial intelligence
Physics
Computer vision
Operating system
Control (management)
Telecommunications
Electrical engineering
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ymssp.2023.110129
- OA Status
- hybrid
- Cited By
- 6
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4318475937
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4318475937Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.ymssp.2023.110129Digital Object Identifier
- Title
-
Extraction and use of frequency-domain relationships between time-varying gear meshing properties and diagnostic measurementsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-30Full publication date if available
- Authors
-
Yuanning Mao, Pietro Borghesani, Zhan Yie Chin, Robert B. Randall, Zhongxiao PengList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ymssp.2023.110129Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.ymssp.2023.110129Direct OA link when available
- Concepts
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Time domain, Frequency domain, Frequency response, Vibration, Stiffness, Encoder, Transmission (telecommunications), Control theory (sociology), Computer science, Stiffness matrix, Degrees of freedom (physics and chemistry), Structural engineering, Engineering, Acoustics, Algorithm, Artificial intelligence, Physics, Computer vision, Operating system, Control (management), Telecommunications, Electrical engineering, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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46Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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