Root cause analysis of actuator fault based on invertibility of interconnected system

Firstly, the case where system (1) is linearly observable is analyzed. This means that the corresponding observer may be designed on the basis of the linear residue. Secondly,

However, the existent results consider the actuators as the constants in the input coefficient matrix of the process system and consider actuator faults as the changes

The left invertibility of individual subsystem is required for ensuring faults occurred in actuator subsystem can be transmitted to the process subsystem uniquely, and

For linear valve, f (X) = X, the valve opening is related to stem displacement. The candidate root causes of an actuator fault could be valve clogging, stop of utility

Relative to the classical concept of observability, the proposed definitions are appli- cable to a much broader family of variables including unmeasured state, unknown input,

Abstract: Based on the interacting multiple model (IMM) estimator for hybrid system state estimation and on the adaptive Kalman filter for time varying system joint

Unlike classical adaptive Kalman filters, which have been designed for state estimation in case of uncertain- ties about noise covariances, the adaptive Kalman filter proposed in

Under the assumption that an efficient fault diagnosis module is integrated in the reconfigurable control to provide sufficient information, an active fault tolerant con- trol