Graph-based structural change detection for rotating machinery monitoring
Graph-based structural change detection for rotating machinery monitoring
复制标题
用于旋转机械监测的基于图形的结构变化检测
DOI：
10.1016/j.ymssp.2017.06.003
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发表时间：
2018-01
影响因子：
8.4
通讯作者：
P. Yan
中科院分区：
文献类型：
--
作者：
G. Lu;J. Liu;P. Yan
Detection of structural changes is critically important in operational monitoring of a rotating machine. This paper presents a novel framework for this purpose, where a graph model for data modeling is adopted to represent/capture statistical dynamics in machine operations. Meanwhile we develop a numerical method for computing temporal anomalies in the constructed graphs. The martingale-test method is employed for the change detection when making decisions on possible structural changes, where excellent performance is demonstrated outperforming exciting results such as the autoregressive-integrated-moving average (ARIMA) model. Comprehensive experimental results indicate good potentials of the proposed algorithm in various engineering applications. This work is an extension of a recent result (Lu et al., 2017).
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通讯作者：
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DOI：
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DOI：
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