Detecting changes in signals and systems - A survey

By M. Basseville. 1988

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Citations in the corpus

Applications of fault detection and diagnosis methods in nuclear power plants: A review (2011, unknown): “…Willsky, 1984) (Lou et al., 1986) (Gertler and Singer, 1990) (Gertler, 1997), diagnostic observers (Beard, 1971) (Clark, 1978) (Frank, 1990) (Frank and Ding, 1997), Kalman filters (Willsky, 1986) (Basseville, 1988), and parameter estimation (Isermann, 1984) (Isermann, 1993) (Li and Jiang, 2004).”
A Survey of Fault Detection, Isolation, and Reconfiguration Methods (2010, background): “Various survey papers on the change detection methods can be found in [12], [23], [25], and [113].”
Delay times of sequential procedures for multiple time series regression models (2009, methodology): “Related works for sequential change-point detection concerned with the average run-length of CUSUM-type procedures, mainly for normal variates, have been carried out by Basseville (1988), Brook and Evans (1972), Lucas (1982), and Siegmund and Venkatraman (1995), among others.”
Sequential Bayesian Prediction in the Presence of Changepoints and Faults (2010, methodology): “The Kalman filter is commonly used to monitor innovation processes and prediction The Computer Journal, Vol. 53 No. 9, 2010 error [13] [14].”
Bibliographical review on reconfigurable fault-tolerant control systems (2003, background): “Such efforts have led to the development of many FDD techniques, for example survey papers (Basseville, 1988; Dailly, 1990; Dash & Venkatasubramanian, 2000; Dochain, Marquardt, Won, Malik, & Kinnaert, 2006; Frank, 1990, 1994, 1996; Frank & Ding, 1997; Frank & Koppen-Seliger, 1997a, 1997b; Frank,…”
Circular binary segmentation for the analysis of array-based DNA copy number data. (2004, background): “Biostatistics (2004), 5, 4, pp. 557–572 doi: 10.1093/biostatistics/kxh008 Circular binary segmentation for the analysis of array-based DNA copy number data”
Integrated active fault-tolerant control using IMM approach (2001, background): “The growing demand for reliability, maintainability, and survivability in safety critical systems has drawn significant research in fault detection and diagnosis (FDD) [ 4 , 9, 10, 29, 34] over the last two decades.”