The fusion of redundant SEVA measurements

The self-validating (SEVA) sensor carries out an internal quality assessment, and generates, for each measurement, standard metrics for its quality, including online uncertainty. This paper discusses consistency checking and data fusion between several SEVA sensors observing the same measurand. Consistency checking is shown to be equivalent to the maximum clique problem, which is NP-hard, but a linear approximation is described. A technique called uncertainty extension is proposed which causes a smooth reduction in the influence of outliers as they become increasingly inconsistent with the majority.

[1]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..

[2]  S. Standard.  GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT , 2006 .

[3]  Manus P. Henry,et al.  The self-validating sensor: rationale, definitions and examples , 1993 .

[4]  R. J. Moffat,et al.  Contributions to the Theory of Single-Sample Uncertainty Analysis , 1982 .

[5]  Kenneth Steiglitz,et al.  Combinatorial Optimization: Algorithms and Complexity , 1981 .

[6]  Mubarak Shah,et al.  Multi-sensor fusion: a perspective , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[7]  David M. Himmelblau,et al.  Sensor Fault Detection via Multiscale Analysis of Prediction Model Residuals , 2003 .

[8]  S. J. Kline,et al.  Describing Uncertainties in Single-Sample Experiments , 1953 .

[9]  Barry Lennox,et al.  Fault detection in continuous processes using multivariate statistical methods , 2000, Int. J. Syst. Sci..

[10]  D. Himmelblau,et al.  Sensor fault detection via multiscale analysis and nonparametric statistical inference , 1998 .

[11]  Sheung Kai Yung,et al.  Signal processing in local sensor validation , 1992 .

[12]  Ren C. Luo,et al.  A tutorial on multisensor integration and fusion , 1990, [Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society.

[13]  Max Mintz,et al.  Using robust statistics for sensor fusion , 1991, Other Conferences.