… Kalman filter-based method for detecting sensor faults in linear dynamic systems. In contrast
with existing sequential fault-… integrity risk evaluation in the presence of measurement faults. …

… effectively detect the presence of a fault. Though the approach is effective, one of the issues
is in its practicality. The update process may take too long for the system to diagnose sensor …

… To quantify the effectiveness and reliability of our proposed FDI scheme in the presence
of the mismatch between the OBEM model and the actual engine, confusion matrices are …

… problem by employing a Switching Extended Kalman filter (… Kalman filter (JEKF) environment.
The proposed approach considers a switching strategy based on multiple measurement …

… On the other hand, when there is a fault in the measurements, the Kalman filter fails in …
, a Robust Kalman filtering method is proposed for the attitude estimation problem. By using …

… The identified observer converges to an optimal observer (the Kalman filter) in the presence
of noise. The main advantage of OKID is that it requires no prior knowledge of the system, …

… Kalman Filter (RUKF) algorithms with the filter gain correction for the case of measurement
… variables named as measurement noise scale factor, the faulty measurements are taken into …

… the measurement system, the Robust Adaptive Kalman Filter … Measurement Noise Scale
Factor (MNSF) as a multiplier on the measurement noise covariance, insensitiveness of the filter …

… Kalman filter (KF) can spit out good estimation results under normal conditions. However,
uncertainties or measurement faults … In this article, a robust-extended Kalman filter (REKF) is …

… In this subsection, the ADS FDD performance of the ATS-UKF will be verified using the
real-life measurement model in the presence of multiple faults (given in Table 1). The initial …