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This chapter introduces AMS circuits, failure modes, and fault models.
Fault semantic network is proposed to represent failure modes and fault propagation models as integrated with process and equipment models.
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Research has discovered that, to achieve the protection of the system adaptive to the operation mode and fault status, more detailed system operation and fault information are required through communication network.
It can be defined as a new type of relay protection which can change the performance, characteristics or set value according to the operation mode and fault condition of the power system.
Besides, this information may also interfere with the choice of the adjudicator, as discussed in Section 5. Finally, for each failure mode and fault latency identified by the architect, a proper handling behaviour should be specified.
In this paper, a dual-mode state and fault estimation scheme is proposed for switched linear systems with a class of state jumps in the presence of simultaneous actuator and sensor faults.
System modeling, using failure mode analysis and fault tree analysis methods, has been developed over the last thirty years and it now involves numerous software tools which enable predictions to be updated and refined throughout the design cycle.
After the diagnostics system catches the fault, the prognostics system which uses GPR is initiated for RUL estimation based on the fault mode and intersection of fault progression with the fault threshold.
At the same time, the distributed locations of eigenvalue corresponding to normal mode and different fault modes are non-coincident which illustrates that these different eigenvalues can be discriminated by a clustering algorithm.
Performances of this power control strategy are highlighted in both health and fault modes.
The obtained knowledge of system dynamics for both normal and fault modes is stored in constant RBF networks.
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