Anomaly detection and correlation system

US11454683B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11454683-B2
Application numberUS-201917289043-A
CountryUS
Kind codeB2
Filing dateOct 18, 2019
Priority dateOct 29, 2018
Publication dateSep 27, 2022
Grant dateSep 27, 2022

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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An anomaly detection system comprising a diagnostic interface and a data acquisition system capable of recording data indicating variation of voltages at tapping points in a superconducting magnet. Data representing those variations in voltages may be stored as a data log and a processor may analyze the data in order to identify a mechanical impact.

First claim

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The invention claimed is: 1. A method for detecting anomalies in voltages within a magnet system comprising series-connected current-carrying superconducting coils, comprising: receiving voltages from tapping points located electrically between superconducting coils within the magnet system; converting the voltages into digital representations of the voltages; storing the digital representations of the voltages; receiving signals from mechanical vibration sensors; and processing the digital representations of the voltages and the signals received from the mechanical vibration sensors to categorize a detected variation in the voltages at the tapping points, wherein the detected variation in the voltages at the tapping points is categorized to identify a cause of the variations in voltage as one of (i) a first type of mechanical impact, (ii) a second type of mechanical impact, or (iii) interference in a magnetic field due to a nearby object not resulting in a mechanical impact, wherein the storing the digital representations of the voltages and processing the digital representations of the voltages and the data received from the mechanical vibration sensors to categorize the detected variation in the voltages at the tapping points is performed in response to the detection of a voltage at the tapping points in excess of a voltage threshold which lasts for a duration of time in excess of a time threshold. 2. A method according to claim 1 , wherein the voltage threshold is selected to differentiate impacts due to (i) magnetic attraction of an object having a mass exceeding a mass threshold that may mechanically impact the magnet system with an expectation of damage being caused, and (ii) magnetic attraction of an object having a mass that is less than the mass threshold. 3. A method according to claim 1 , wherein the acts of storing the digital representations of the voltages and processing the digital representations of the voltages and the signals received from the mechanical vibration sensors to categorize the detected variation in the voltages at the tapping points further comprises determining whether the magnet system is in use in a magnetic resonance imaging (MRI) system. 4. A method according to claim 1 , wherein the acts of storing the digital representations of the voltages and processing the digital representations of the voltages and the signals received from the mechanical vibration sensors to categorize the detected variation in the voltages at the tapping points further comprises determining whether the voltages from the tapping points are symmetrical such that the voltages are equal and opposite voltages generated at either side of a magnet center line associated with the magnet system and sum to zero. 5. A method for detecting anomalies in voltages within a magnet system comprising series-connected current-carrying superconducting coils, comprising: receiving voltages from tapping points located electrically between superconducting coils within the magnet system; converting the voltages into digital representations of the voltages; storing the digital representations of the voltages; and processing the digital representations of the voltages to calculate a periodicity of time identified with successive instances in which a coil voltage disturbance value is in excess of a voltage threshold, and to categorize a detected variation in the voltages at the tapping points based upon the periodicity of time to identify the cause of the variations in voltages as one of (i) a first type of mechanical impact, (ii) a second type of mechanical impact, or (iii) interference in a magnetic field due to a nearby object not resulting in a mechanical impact. 6. A method according to claim 5 , wherein the act of processing the digital representations of the voltages to categorize the detected variation in the voltages at the tapping points comprises determining whether the magnet system is in use in a magnetic resonance imaging (MRI) system. 7. A method according to claim 5 , wherein the act of processing the digital representations of the voltages to categorize the detected variation in the voltages at the tapping points comprises determining whether the voltages from the tapping points are symmetrical such that the voltages are equal and opposite voltages generated at either side of a magnet center line associated with the magnet system and sum to zero. 8. The method of claim 5 , wherein the voltages received from the tapping points located electrically between superconducting coils within the magnet system comprise voltage oscillations as a result a mechanical impact, and wherein the act of processing the digital representations of the voltages to calculate the periodicity of time comprises calculating a periodicity of time based upon the voltage oscillations. 9. A method for characterising mechanical impacts to a magnet system that is used as part of a magnetic resonance imaging (MRI) system, comprising: receiving power from an independent power source that is separate from the MRI system to power a data acquisition system; via the data acquisition system: receiving signals from one or more vibration sensors attached to the magnet system; converting the signals into digital representations of the signals; storing the digital representations of the signals; and processing the digital representations of the signals to categorize a detected vibration, wherein the detected vibration is categorized to identify a cause of the vibrations while the magnet system is not in use in the MRI system as one of (i) a first type of mechanical impact, (ii) a second type of mechanical impact, or (iii) interference in a magnetic field due to a nearby object not resulting in a mechanical impact. 10. A method according to claim 9 , wherein the magnet system comprises a superconducting magnet, and further comprising: initiating quench of the superconducting magnet in response to the detected vibration or a detected coil voltage disturbance. 11. The method of claim 9 , further comprising: receiving voltages from tapping points located electrically between superconducting coils within the magnet system; converting the voltages into digital representations of the voltages; storing the digital representations of the voltages; and processing the digital representations of the voltages and the signals received from the one or more vibration sensors to categorize the detected vibration.

Assignees

Inventors

Classifications

  • using a short-circuiting device · CPC title

  • Electrical details, e.g. matching or coupling of the coil to the receiver · CPC title

  • Quenching; Protection arrangements during quenching {(protection circuits H02H7/001)} · CPC title

  • G01R33/20Primary

    involving magnetic resonance (medical aspects A61B5/055; magnetic resonance gyrometers G01C19/60) · CPC title

  • G01R33/288Primary

    Provisions within MR facilities for enhancing safety during MR, e.g. reduction of the specific absorption rate [SAR], detection of ferromagnetic objects in the scanner room · CPC title

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What does patent US11454683B2 cover?
An anomaly detection system comprising a diagnostic interface and a data acquisition system capable of recording data indicating variation of voltages at tapping points in a superconducting magnet. Data representing those variations in voltages may be stored as a data log and a processor may analyze the data in order to identify a mechanical impact.
Who is the assignee on this patent?
Siemens Healthcare Ltd
What technology area does this patent fall under?
Primary CPC classification G01R33/20. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Sep 27 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).