Most cited papers in Fault Detection and Control Systems
What are the most cited papers in Fault Detection and Control Systems?
The most cited paper in Fault Detection and Control Systems is "A new look at the statistical model identification" (Hirotugu Akaike, 1974), with 51,685 citations. Next come "Investigating Causal Relations by Econometric Models and Cross-spectral Methods" (23,275) and "Fuzzy identification of systems and its applications to modeling and control" (19,579).
Showing 50 of 96 papers. Every paper with more than 1,444 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | A new look at the statistical model identification Hirotugu Akaike · IEEE Transactions on Automatic Control | Dec 1974 | 51,685 |
| 2 | Investigating Causal Relations by Econometric Models and Cross-spectral Methods Clive W. J. Granger · Econometrica | Aug 1969 | 23,275 |
| 3 | Fuzzy identification of systems and its applications to modeling and control Tomohiro Takagi, Michio Sugeno · IEEE Transactions on Systems Man and Cybernetics | 1985 | 19,579 |
| 4 | ANFIS: adaptive-network-based fuzzy inference system Jyh‐Shing Roger Jang · IEEE Transactions on Systems Man and Cybernetics | 1993 | 16,328 |
| 5 | Approximation by superpositions of a sigmoidal function George V. Cybenko · Mathematics of Control Signals and Systems | Dec 1989 | 14,001 |
| 6 | Constrained model predictive control: Stability and optimality D.Q. Mayne, James B. Rawlings, Christopher V. Rao et al. · Automatica | Jun 2000 | 8,753 |
| 7 | Pattern Classification Evan L. Russell, Leo H. Chiang, Richard D. Braatz · Advances in industrial control | 2000 | 7,895 |
| 8 | Novel approach to nonlinear/non-Gaussian Bayesian state estimation Neil Gordon, David J. Salmond, A. F. M. Smith · IEE Proceedings F Radar and Signal Processing | 1993 | 7,664 |
| 9 | Principal Component Analysis Leo H. Chiang, Evan L. Russell, Richard D. Braatz · Advanced textbooks in control and signal processing | 2001 | 6,639 |
| 10 | Isolation Forest Fei Tony Liu, Kai Ming Ting, Zhi‐Hua Zhou | Dec 2008 | 6,132 |
| 11 | Modeling by shortest data description J. Rissanen · Automatica | Sep 1978 | 6,083 |
| 12 | Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari, Andrew Gelman, Jonah Gabry · Statistics and Computing | 30 Aug 2016 | 5,670 |
| 13 | Fast Training of Support Vector Machines Using Sequential Minimal Optimization John C. Platt · The MIT Press eBooks | Dec 1998 | 5,489 |
| 14 | Model predictive control: Theory and practice—A survey Carlos E. García, David M. Prett, Manfred Morari · Automatica | May 1989 | 5,344 |
| 15 | A survey of industrial model predictive control technology S. Joe Qin, Thomas A. Badgwell · Control Engineering Practice | 30 Apr 2003 | 5,091 |
| 16 | Pattern Classification Leo H. Chiang, Evan L. Russell, Richard D. Braatz · Advanced textbooks in control and signal processing | 2001 | 5,020 |
| 17 | Backpropagation through time: what it does and how to do it Paul J. Werbos · Proceedings of the IEEE | 1990 | 4,998 |
| 18 | A review on machinery diagnostics and prognostics implementing condition-based maintenance Andrew K. S. Jardine, Daming Lin, Dragan Banjević · Mechanical Systems and Signal Processing | 4 Nov 2005 | 4,775 |
| 19 | A general regression neural network Donald F. Specht · IEEE Transactions on Neural Networks | 1991 | 4,518 |
| 20 | Efficient tests for normality, homoscedasticity and serial independence of regression residuals Carlos M. Jarque, Anil K. Bera · Economics Letters | 1980 | 4,364 |
| 21 | Bayesian Calibration of Computer Models Marc C. Kennedy, Anthony O’Hagan · Journal of the Royal Statistical Society Series B (Statistical Methodology) | Sep 2001 | 4,303 |
| 22 | Neural network ensembles Lars Kai Hansen, Peter B. Salamon · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1990 | 4,300 |
| 23 | A survey of decision tree classifier methodology S.R. Safavian, D. A. Landgrebe · IEEE Transactions on Systems Man and Cybernetics | 1991 | 3,860 |
| 24 | Generalized predictive control—Part I. The basic algorithm DAVID W. CLARKE, Coorous Mohtadi, P.S. Tuffs · Automatica | Mar 1987 | 3,792 |
| 25 | Probabilistic neural networks Donald F. Specht · Neural Networks | 1990 | 3,791 |
| 26 | A survey of cross-validation procedures for model selection Sylvain Arlot, Alain Célisse | 2009 | 3,771 |
| 27 | Asymptotically Efficient Rank Invariant Test Procedures Richard Peto, Julian Peto · Journal of the Royal Statistical Society Series A (General) | 1972 | 3,431 |
| 28 | Cubature Kalman Filters Ienkaran Arasaratnam, S. Haykin · IEEE Transactions on Automatic Control | 27 May 2009 | 3,395 |
| 29 | A plant-wide industrial process control problem James J. Downs, Ernest F. Vogel · Computers & Chemical Engineering | Mar 1993 | 3,313 |
| 30 | A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches Zhiwei Gao, Carlo Cecati, Steven X. Ding · IEEE Transactions on Industrial Electronics | 27 Mar 2015 | 3,109 |
| 31 | Disturbance-Observer-Based Control and Related Methods—An Overview Wen‐Hua Chen, Jun Tao Yang, Lei Guo et al. · IEEE Transactions on Industrial Electronics | 14 Sep 2015 | 2,981 |
| 32 | Principal component analysis Rasmus Bro, Age K. Smilde · Analytical Methods | 2014 | 2,980 |
| 33 | Detection of Abrupt Changes: Theory and Application Kurt S. Riedel · Technometrics | Aug 1994 | 2,979 |
| 34 | Applications of machine learning to machine fault diagnosis: A review and roadmap Yaguo Lei, Bin Yang, Xinwei Jiang et al. · Mechanical Systems and Signal Processing | 5 Jan 2020 | 2,905 |
| 35 | A review of process fault detection and diagnosis Venkat Venkatasubramanian, Raghunathan Rengaswamy, Kewen Yin et al. · Computers & Chemical Engineering | Mar 2003 | 2,709 |
| 36 | Approximating discrete probability distributions with dependence trees Chee Lap Chow, C. Liu · IEEE Transactions on Information Theory | May 1968 | 2,654 |
| 37 | Bibliographical review on reconfigurable fault-tolerant control systems Youmin M. Zhang, Jin Jiang · Annual Reviews in Control | 12 Nov 2008 | 2,616 |
| 38 | Optimal Brain Damage Yann LeCun, John S. Denker, Sara A. Solla | 1989 | 2,601 |
| 39 | An introduction to multisensor data fusion David L. Hall, James Llinas · Proceedings of the IEEE | 1997 | 2,592 |
| 40 | A complete ensemble empirical mode decomposition with adaptive noise María Eugenia Torres, Marcelo A. Colominas, Gastón Schlotthauer et al. | May 2011 | 2,562 |
| 41 | Robust constrained model predictive control using linear matrix inequalities Mayuresh V. Kothare, V. Balakrishnan, Manfred Morari · Automatica | Oct 1996 | 2,523 |
| 42 | The interacting multiple model algorithm for systems with Markovian switching coefficients H.A.P. Blom, Yaakov Bar‐Shalom · IEEE Transactions on Automatic Control | 1988 | 2,464 |
| 43 | Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review S. Nandi, Hamid A. Toliyat, Xiaodong Li · IEEE Transactions on Energy Conversion | Dec 2005 | 2,385 |
| 44 | The Mahalanobis distance Roy De Maesschalck, D. Jouan-Rimbaud, Desire Luc Massart · Chemometrics and Intelligent Laboratory Systems | 2000 | 2,357 |
| 45 | Process fault detection based on modeling and estimation methods—A survey Rolf Isermann · Automatica | Jul 1984 | 2,354 |
| 46 | Model predictive control: past, present and future Manfred Morari, Jay H. Lee · Computers & Chemical Engineering | May 1999 | 2,342 |
| 47 | Estimation with Quadratic Loss William James, Charles Michael Stein · Springer series in statistics | 1992 | 2,335 |
| 48 | Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models Genshiro Kitagawa · Journal of Computational and Graphical Statistics | Mar 1996 | 2,234 |
| 49 | Empirical Wavelet Transform Jérôme Gilles · IEEE Transactions on Signal Processing | 30 May 2013 | 2,222 |
| 50 | A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method Long Wen, Xinyu Li, Liang Gao et al. · IEEE Transactions on Industrial Electronics | 17 Nov 2017 | 2,197 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.