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In the present study, an intelligent system with human-machine interface of knowledge acquisition is established to implement the pest prediction and the aeration control of stored grain bins. In the system, recurrent neuro-fuzzy network models are proposed to predict temperature evolvement in the grain bins. 3D multimedia displays of node sensor-measured temperatures, and its gradient distributions...
Principal component analysis (PCA) combining with multivariate statistical knowledge is used for the sensor fault detection and diagnosis according to the characteristics of the satellite attitude control system. In this paper, the principle of PCA to detect faults is presented, and the conventional PCA fault isolation approach is improved. The example of using PCA to fault detection and diagnosis...
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