The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Performance Monitoring for Vehicle Suspension System via Fuzzy Positivistic C-Means Clustering Based on Accelerometer Measurements
Abstract
This paper focuses on fault detection and isolation for vehicle suspension systems. The proposed method is divided into three steps: 1) confirming the number of clusters based on principal component analysis; 2) detecting faults by fuzzy positivistic C-means clustering and fault lines; and 3) isolating the root causes for faults by utilizing the Fisher discriminant analysis technique. Different from other schemes, this method only needs measurements of accelerometers that are fixed on the four corners of a vehicle suspension. Besides, different spring attenuation coefficients are regarded as a special failure instead of several ones. A full vehicle benchmark is applied to demonstrate the effectiveness of the method.
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Citations
Cites
Data-based techniques focused on modern industry: An overview
Yin, S., Li, X., Gao, H., & Kaynak, O. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2308133 · Cited by 1,025
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Cited by
Fault diagnosis for rotating machinery using multiple sensors and convolutional neural networks
Xia, M., Li, T., Xu, L., Liu, L., & de Silva, C. W. (2018) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2728371 · Cited by 723
Theissler, A., Pérez-Velázquez, J., Kettelgerdes, M., & Elger, G. (2021) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2021.107864 · Cited by 581
Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems
Wei, Q., Liu, D., & Lin, H. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2492242 · Cited by 465
Jiang, Q., Yan, X., & Huang, B. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2466557 · Cited by 361
Yin, Z., & Hou, J. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.09.081 · Cited by 345
Metadata
- Authors
- Yin, S., & Huang, Z.
- Venue
- IEEE/ASME Transactions on Mechatronics
- Published
- 2015-10
- Volume
- 20
- Issue
- 5
- Pages
- 2613-2620
- ISSN
- 1083-4435 (ISSN-L)
- 1941-014X
- OpenAlex
- W1985512226
- Cited by
- 308
- References
- 1
- FWCI
- 72.07
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yin, S., & Huang, Z. (2015). Performance Monitoring for Vehicle Suspension System via Fuzzy Positivistic C-Means Clustering Based on Accelerometer Measurements. IEEE/ASME Transactions on Mechatronics. https://doi.org/10.1109/tmech.2014.2358674
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