The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Subspace-based fault detection algorithms for vibration monitoring
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Citations
Cites
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy
Frank, P. M. (1990) · Automatica · doi:10.1016/0005-1098(90)90018-d · Cited by 3,545
Detection of Abrupt Changes: Theory and Application
Riedel, K. S. (1994) · Technometrics · doi:10.1080/00401706.1994.10485821 · Cited by 3,518
Subspace identification for linear systems: theory, implementation, applications
Overschee, P. V., & Moor, B. L. R. D. (1996) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,271
A survey of design methods for failure detection in dynamic systems
Willsky, A. S. (1976) · Automatica · doi:10.1016/0005-1098(76)90041-8 · Cited by 2,153
Adaptive Algorithms and Stochastic Approximations
Benveniste, A., Métivier, M., & Priouret, P. (1990) · Springer eBooks · doi:10.1007/978-3-642-75894-2 · Cited by 2,006
Self-citationAnalytical redundancy and the design of robust failure detection systems
Chow, E., & Willsky, A. S. (1984) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1984.1103593 · Cited by 1,437
A survey of design methods for failure detection in dynamic systems
(1977) · Microelectronics Reliability · doi:10.1016/0026-2714(77)90326-2 · Cited by 1,421
Fault diagnosis in dynamic systems : theory and applications
Patton, R. J., Frank, P. M., & Clarke, R. N. (1989) · CERN Document Server (European Organization for Nuclear Research) · Cited by 1,066
Detection of Abrupt Changes: Theory and Applications.
Peach, N., Basseville, M., & Nikiforov, I. V. (1995) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2983416 · Cited by 1,031
Self-citationSubspace-based methods for the identification of linear time-invariant systems
Viberg, M. (1995) · Automatica · doi:10.1016/0005-1098(95)00107-5 · Cited by 615
Cited by
Deraemaeker, A., Reynders, E., De Roeck, G., & Kullaa, J. (2008) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2007.07.004 · Cited by 580
Martinez-Luengo, M., Kolios, A., & Wang, L. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.05.085 · Cited by 310
Structural health monitoring with statistical methods during progressive damage test of S101 Bridge
Döhler, M., Hille, F., Mevel, L., & Rücker, W. (2014) · Engineering Structures · doi:10.1016/j.engstruct.2014.03.010 · Cited by 156
Statistical subspace-based damage detection with estimated reference
Viefhues, E., Döhler, M., Hille, F., & Mevel, L. (2022) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108241 · Cited by 16
Fault detection for linear parameter varying systems under changes in the process noise covariance
Viefhues, E., Döhler, M., Hille, F., & Mevel, L. (2020) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2020.12.868 · Cited by 8
Metadata
- Authors
- Basseville, M., Abdelghani, M., & Benveniste, A.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2000-01
- Volume
- 36
- Issue
- 1
- Pages
- 101-109
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W1966382034
- Cited by
- 296
- References
- 24
- FWCI
- 24.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Basseville, M., Abdelghani, M., & Benveniste, A. (2000). Subspace-based fault detection algorithms for vibration monitoring. Automatica. https://doi.org/10.1016/s0005-1098(99)00093-x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
