Fault isolation method and system based on weighted residual component comparison
A technology of fault separation and weighting coefficients, applied in general control systems, control/regulation systems, test/monitoring control systems, etc., can solve problems such as less information utilization, narrow application range, and complexity
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no. 1 example
[0058] Such as figure 1 Shown is a method flow chart according to an embodiment of the present invention, the following reference figure 1 The present invention will be described in detail.
[0059] First, in step S110, a fault detection model of the system under test based on the residual signal is established. In this step, the linear discrete-time system equation of the system under test is established first. When the system under test is a nonlinear system, the system under test needs to be linearized. The established linear discrete-time system equation is as follows:
[0060] x k + 1 = A x k + B u k...
no. 2 example
[0096] According to another aspect of the present invention, a fault separation system based on weighted residual component comparison is also provided, and the system includes a fault detection module, a fault separation criterion establishment module and a fault separation module.
[0097] Wherein, the fault detection module is used to implement step S110, and establishes a fault detection model of the system under test based on the residual signal. The fault separation strategy building module is used to implement step S120 and step S130, obtain the offline residual function vector of the system under test based on the fault detection model, design the weighting coefficients of each component in the offline residual function vector, and use the weighting coefficient and the offline residual function vector Difference function vector design fault isolation strategy. The fault separation module is used to implement step S140 and step S150, obtain the online residual function ...
no. 3 example
[0099] The following is a specific application example with three possible faults combined with the algorithm flow figure 2 The present invention will be described in further detail. The following is a three-capacity water tank at the working point:
[0100] x p ( 1 ) = 0.4469 ( m ) , x p ( 2 ) = 0.2184 ( m ) , x p ( 3 ) = 0.3601 ( m ) ,
[0101] Take the linearization model of the model as an example for further elaboration. At this time, the static control input i...
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