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During the computation, fault setting may lead to isolated nodes or island regions so that the computation cannot be continued.
Remarkable progress has been made recently in the field of neural networks due to their advantages in overcoming several problems such as learning ability, parallel computation, fault tolerance, and function approximation.
Disciplines involve distributed computation, fault tolerance, dynamic learning, adaptation, and self-monitoring with a solid biological knowledge [ 6].
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Computation of fault positions.
The mathematical tool Wavelet transform used to analyze the characteristics of the non-periodic sudden changes of a signal provides a powerful tool for the analysis and the computation of fault transient data.
The main characteristics of ANNs dealing with quantitative and qualitative indices include large-scale parallel distributed processing, continuously nonlinear dynamics, collective computation, high fault-tolerance, self-organization, self-learning and real-time treatment (Rumelhart and McClelland 1986).
To relieve the on-line computation load, the fault origins considered in diagnosis are limited to the basic events in the cut sets of a given fault tree.
Homogeneous processor arrays are emerging in tera-scale computation and effective fault tolerance techniques are essential to improving the reliability of such complex integrated circuits.
Thus, a discrete-time sliding mode control that improves the systems' performance when a computation time delay fault is found is proposed herein.
These systems assume long running computations and provide fault tolerance mechanisms to resume intermediate results if they are lost due to the failure of one or more machines in a large cluster [25].
As discussed above, the computation involves carrying out fault coverage (9) and fault mode probability (7).
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