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By analyzing real-time network state information, faults and anomalous behaviors can be predicted and mitigated.
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Even for the remote back up protection, it only needs the relevant fault information of the nearby equipment which is in the rim of adjacent substation groups (the scope may be expanded appropriately from the perspective of information fault tolerance).
Based on the estimated fault information, the fault tolerant controller can be designed to make the post-fault probability density function (PDF) still track the given distribution.
It is able to process massive fault related information, analyze fault features statistically, and enhance representative features for static eccentricity and dynamic eccentricity fault diagnosis based on the current signals.
With the development of high speed DSP and the application of optical sensor, the utilization of fault transient information for fault identification is no longer a difficult task.
In the cloud computing platform layer, the following algorithms are scheduled, such as judging the section connecting point, multi-objective optimal TWU configuration, fault section determination, fault information fusion, and fault location.
Furthermore, the useful information about faults contained in the residual is used for designing an active fault-tolerant controller.
Here, we demonstrate that incorporating measured variables that do not provide any additional information about faults degrades monitoring performance.
The internal diagnostics system can provide an operator with information about faults that have occurred inside the drive.
Separating the high-level routines into sub-functions is designed to limit system-wide errors and provide concise information about faults that do occur.
Application of this processing scheme to the Ostler Fault data provides critical information on fault geometry and offset and on sedimentary structures from the surface to ∼ 800 m depth.
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