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Bernadin Namoano1, Christina Latsou1, John Ahmet Erkoyuncu1

  • 1Centre of Digital Engineering and Manufacturing, Cranfield University, College Rd, Wharley End, Bedford, MK43 0AL UK.

Journal of intelligent manufacturing
|July 18, 2025
PubMed
概括

这项研究引入了G-BOCPD,这是一种在多变量时间序列数据中检测异常的新方法. 它通过分析道间的依赖关系,准确地识别系统故障,改善资产监控和安全.

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