“…Modal parameters, such as natural frequencies, damping ratios, and mode shape curvature, have been the primary features used to identify damage in structures. Recently, a number of new approaches, such as statistical pattern recognition [1][2][3], neural network [4][5][6], and bio-inspired pattern recognition [7,8], have been proposed for structural damage diagnosis. Due to high dimension of time-series data, direct processing and storage of time-series data in its raw format is expensive.…”