An optimal recursive fusion algorithm that can process various correlated local estimates is derived by using recursive fusion technique in minimizing the trace of the estimated error covariance matrix.

Real-time Outliers Detection in Multi-Source Trajectory Data Based on Weighted Fusion;

By combining the hardware redundant technique with weighted fusion algorithm and gray forecast model,a mining robot transducer fault-tolerant system based on mixed redundancy is constructed,with abilities of sensor fault detection,fault isolation and tolerance,and it ensures that the sensor s output is always valid when sensor s faults are not happened simultaneously.

As different properties are reflected by the dynamic model and static-state model, one multi-model weighted fusion method which is used to estimate the torque is proposed in this paper.

A new fault detection approach using a fusion state propagator to predict the measurement of each local sensor is presented to detect sensor failures for the federated filtering structure.

A new fault detection method using a fusion state propagator to predict the measurement of each local sensor is presented to detect sensor failures for the federated filter.

According to previous dam safety monitoring statistic models and focus on the defects of least square regression statistic theory, the statistic models for dam safety monitoring were put forward in the dissertation based on the partial least square square regression, orthogonal signal correction, weighted block recursive partial least squares regression, neural network.