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Besides, the faulted phase as well as fault type detection has been suggested in this paper using same measurements.
The method is algorithmically simple and does not require the fault type.
Then, the low-dimensional fault samples are fed into the proposed ANNC for fault type identification.
Applicability of the proposed algorithm is independent of fault type, location of fault and fault resistance.
Moreover, the proposed formulation does not necessitate fault type classification or fault resistance estimation.
Proposed method is tested with varying fault location, inception angle, fault type and fault resistance.
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Solutions in red, blue, and black indicate normal-fault type events, reverse-fault type events, and other types, respectively.
Solutions in blue indicate reverse-fault type events with rakes from +40° to +140°.
This mechanism is intermediate between strike-slip and a reverse-fault type.
Thrust and normal-fault type earthquakes were selected from non-interplate earthquakes based on Frohlich (1992).
Solutions in red indicate normal-fault type events with rakes from −140° to −40°.
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