The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Process fault detection based on modeling and estimation methods—A survey
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Citations
Cites
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
1985 IEEE conference on decision and control
(1985) · IEEE Control Systems Magazine · doi:10.1109/mcs.1985.1104966 · Cited by 962
An innovations approach to fault detection and diagnosis in dynamic systems
Mehra, R. K., & Peschon, J. (1971) · Automatica · doi:10.1016/0005-1098(71)90028-8 · Cited by 643
Parameter estimation for continuous-time models—A survey
Young, P. (1981) · Automatica · doi:10.1016/0005-1098(81)90082-0 · Cited by 545
Failure accomodation in linear systems through self-reorganization.
Beard, R. V. (1971) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 498
Failure detection in linear systems
Jones, H. L. (1973) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 456
An instrumental variable method for real-time identification of a noisy process
Young, P. C. (1970) · Automatica · doi:10.1016/0005-1098(70)90098-1 · Cited by 412
Refined instrumental variable methods of recursive time-series analysis Part III. Extensions
YOUNG, P., & JAKEMAN, A. (1980) · International Journal of Control · doi:10.1080/00207178008961080 · Cited by 291
Fault detection and diagnosis in chemical and petrochemical processes
Himmelblau, D. M. (1978) · Elsevier eBooks · Cited by 283
6th IFAC Symposium on identification and system parameter estimation
(1981) · IEEE Acoustics Speech and Signal Processing Newsletter · doi:10.1109/msp.1981.237268 · Cited by 144
Cited by
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
Gao, Z., Cecati, C., & Ding, S. X. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2417501 · Cited by 3,135
Bibliographical review on reconfigurable fault-tolerant control systems
Zhang, Y., & Jiang, J. (2008) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2008.03.008 · Cited by 2,652
Model predictive control: past, present and future
Morari, M., & H. Lee, J. (1999) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(98)00301-9 · Cited by 2,335
Metadata
- Authors
- Isermann, R.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 1984-07
- Volume
- 20
- Issue
- 4
- Pages
- 387-404
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2010922160
- Cited by
- 2,364
- References
- 16
- FWCI
- 55.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Process fault detection based on modeling and estimation methods—A survey. https://app.cochat.ai/papers/10.1016/0005-1098(84)90098-0
- The paper
- Isermann, R. (1984). Process fault detection based on modeling and estimation methods—A survey. Automatica. https://doi.org/10.1016/0005-1098(84)90098-0
Data sources
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.
