A rule‐based method of spike detection and suppression and its application in a control system for additive manufacturing

Rafajłowicz, Wojciech

doi:10.1002/asmb.2298

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“…However, other methodologies could also be of interest. As an example, spike detection in time series, which has attracted the increasing interest of researchers in many fields (Rafajłowicz & Rafajłowicz, 2018; Rey et al, 2015), should be adequately investigated both in connection to our problem and for possible detection of malfunctions in the measurement devices. These aspects remain the subject of further research.…”

Section: Discussionmentioning

confidence: 99%

Detection of anomalous radioxenon concentrations: A distribution‐free approach

et al. 2023

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The detection of anomalous atmospheric radioxenon concentrations plays a key role in detecting both underground nuclear explosions and radioactive emissions from nuclear power plants and medical isotope production facilities. For this purpose, the CTBTO's International Data Centre uses a procedure based on descriptive thresholds. In order to supplement this procedure with a statistical inference‐based method, we compared several non‐parametric change‐point control charts for detecting shifts above the natural radioxenon background. The results indicate that the proposed methods can provide valuable tools for the institutions responsible for the verification and classification of anomalous radioxenon concentrations.

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Section: Discussionmentioning

confidence: 99%