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Both methods have been used in fault detection.
The proposed system has been used in fault diagnosis of electric motor to confirm the system performance.
Although decision tree has inherent advantage over other methods like artificial neural network and support vector machines to work with large data sets, it has not been used in fault location estimation in series compensated (SC) transmission line so far.
Synchronous distributed algorithms constitute a performance improvement over centralized algorithms, and have been used in fault simulation within the discipline of computer-aided design of digital systems and in matrix manipulations.
While many other methods, such as expert system and artificial neural network, have been used in fault monitoring and diagnosis, SVM shows its advantage in generalization performance and in case of small sample.
In its use of a master-slave method, our approach is different from the split-node technique (Andrews, 1999) that has been used in fault modeling.
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This diagnosis method does not require learning procedures to be used in fault diagnosis of PV power generation systems.
Thermographic analysis has been considered a technique that can be used in fault diagnosis with the advantage of being non-invasive and having a wide range of analysis.
Procedures are presented that make models without any physical meaning in the parameters possible to be used in fault detection and diagnosis.
As a case study, a 32-bit pipelined processor has been used in the fault injection experiments.
A GRNN is able to approximate functions and it has been used in control, prediction, fault diagnosis, engine management among others.
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