2006 Volume 14 Issue 3 Pages 50-56
This study was carried out as a preliminary enabling research for earthquake prediction. When earthquake predictions are made by the MT system from enormous volumes of time-series data etc., the problem of data compression arises. This paper discusses the status of earthquake data, which is an unfamiliar topic in quality engineering, and considers optimal data compression methods for earthquake prediction. The idea of analysis of distribution of periodic data, which is an original concept from on-line quality engineering, was applied to time-series data. Periodic analysis was shown to provide an effective data compression method, enabling the characteristics of earthquake data to be expressed by signal-to-noise ratios with periods of 1/100, 8/100, and 32/100 seconds.
