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Mining abnormal patterns is important in many areas. With the prevalence of big data, in order to ensure efficiency, an algorithm named PPSpan (JOMP-based parallel Prefix Span) is proposed under the research of traditional serial sequential pattern mining methods. Firstly, redundant parameters are eliminated with grey correlation analysis. Secondly, outlier information is extracted according to the...
The correlation analysis of telemetry data plays a significant role in satellite performance analysis. However, the existing methods cannot be well applied, because the telemetry data is large and high-dimensional. In this paper, an efficient algorithm named QARC Apriori is proposed. First, to reduce the redundant attributes and lower the problem complexity, grey relational analysis method is applied...
The hemispherical resonator gyroscope (HRG) is a new vibration gyro, which has features of high accuracy, long lifespan, no wear-out, and great reliability. However, the excellent performances make it impractical to get the HRG's lifespan within whole life test, and its lifespan has not even been explored. To predict the HRG's lifespan without whole life test, one residual modified autoregressive...
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