Distributed design of sensor network for abnormal state detection in distributed parameter systems

The problem of measurement effort distribution for detection of the abnormal state of distributed parameter system monitored with sensor network is considered. The measurement strategy is formulated in terms of maximizing the power of parametric hypothesis test related to the nominal system state. Then, using communication schemes based on the class of so-called gossip algorithms a computational procedure for optimizing the measurement effort over the sensor network is proposed. Finally, the presented fault detection approach is verified on the example of convective-diffusion process.

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