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Both fault types are secondary and "intra-plate" with limited lateral continuation.
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At first, seven typical sensor fault types are described and a detailed methodology categorization is provided.
Then, fault types are identified through the pattern recognition classifier, based on SVM.
On the basis of thus obtained order features, the potential fault types are then deduced with the aid of a state inference engine.
Seven different sensor fault types are investigated and modelled: bias, gain, drifting, precision degradation, complete failure, noise, and constant with noise.
According to its fault character, DC microgrids fault types are pole-to-pole fault and pole-to-ground fault.
Different fault types are reflected by different graph shapes of the dynamometer cards.
Results of the four fault types are shown in Table 4.
Three main fault types are expected to take place in MTDC grids.
These fault types are strictly related with the main concepts introduced by AOP.
Examples of F3 fault types are improper advice type specification, incorrect advice logic and incorrect advice-pointcut binding.
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