Method of data association in multi-sensor and multi-model
Rongbiao Zhang · Journal of Jiangsu University · 2005
Based on the data association technique of information fusion and Kalman filter, and linking the probability data association algorithm of interaction multi-model, the relations between fault detection/(alarming) and measuring data by local sensors are set up. By improving the algorithm for the probability data association, the multi-sensor and multi-model method for the more common distributing sensor (system) is set up. The study indicates that the improved method not only corresponds to the specific (metrical) threshold in limit dimensions, but also directs to the fault model. At the same time, it can (embody) the advantage of dynamic model and lay the foundation for the single-step, multi-step and long forecast by merging the knowledge of systematic diagnosis. The application of the method in the fault (detection) and (alarming) is also discussed.