A rule-based system for automatic seismic discrimination

摘要

This paper proposes a rule-based system for automatic seismic discrimination, i.e. classification of earthquakes and underground nuclear explosions. It incorporates rule-based deduction, pattern recognition and signal processing for an effective identification. The seismological knowledge and heuristics are represented by a set of production rules. Facts and assertions of the production rules are derived from seismic signals using signal processing and pattern recognition methods. Due to the uncertainty nature of this problem there are certainly factors associated with both antecedents and the rules. The control strategy is data-driven, i.e. forward-chaining for better efficiency. This approach can be applied to other signal and image interpretation problems.