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公开(公告)号：US20190257806A1
公开(公告)日：2019-08-22
申请号：US16345850
申请日：2017-10-17
Applicant: ENDRESS+HAUSER FLOWTEC AG
Inventor： Rebecca Page , Peter Huggenberger , Stefan Wiesmeier , Daniel Waldmann
Abstract: A method for automated in-line detection of deviations of an actual state of a fluid from a reference state is disclosed wherein measured values captured at the same time are evaluated in a combined manner with respect to at least three measurement variables that are different measurement quantities of the fluid and/or a measurement quantity of the fluid measured at different measuring points. The method includes creating a reference data set, wherein reference measured values are mapped to a reference vector of a vector space using a neural network; in-line measurement, wherein measured values at all times are mapped to a measurement vector using the neural network; comparing the measurement vector with the reference vectors using a kernel density estimator of a predefinable window width; and creating an assessment with respect to a deviation of the actual state from the reference state on the basis of the kernel density estimator.
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2.发明申请公开(公告)号：US20250088289A1
公开(公告)日：2025-03-13
申请号：US18721691
申请日：2022-11-22
Applicant: Endress+Hauser Flowtec AG
Inventor： Michael Blessing , Lukas Ostgen , Rebecca Page , Nikolai Fink
Abstract: A method for determining a quality of a wireless transmission of data packets of a field device via a wireless communications interface to a higher-level unit comprises sending the data packets via the wireless communications interface to the higher-level unit, wherein the data packets are sent intermittently; receiving the data packets through the higher-level unit; checking whether the time duration between two data packets received by means of the higher-level unit, a size of the respective data packets, and/or information stored in the respective data packets fulfills a criterion; and determining a communications status depending upon the check and optional output of the communications status.
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公开(公告)号：US11193920B2
公开(公告)日：2021-12-07
申请号：US16345850
申请日：2017-10-17
Applicant: Endress+Hauser Flowtec AG
Inventor： Rebecca Page , Peter Huggenberger , Stefan Wiesmeier , Daniel Waldmann
Abstract: A method for automated in-line detection of deviations of an actual state of a fluid from a reference state is disclosed wherein measured values captured at the same time are evaluated in a combined manner with respect to at least three measurement variables that are different measurement quantities of the fluid and/or a measurement quantity of the fluid measured at different measuring points. The method includes creating a reference data set, wherein reference measured values are mapped to a reference vector of a vector space using a neural network; in-line measurement, wherein measured values at all times are mapped to a measurement vector using the neural network; comparing the measurement vector with the reference vectors using a kernel density estimator of a predefinable window width; and creating an assessment with respect to a deviation of the actual state from the reference state on the basis of the kernel density estimator.
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