Computed tomography device and method for determining an operating state of sliding contacts in a computed tomography device

Patent metadata

Field	Value
Publication number	US-10653383-B2
Application number	US-201916433322-A
Country	US
Kind code	B2
Filing date	Jun 6, 2019
Priority date	Jun 19, 2018
Publication date	May 19, 2020
Grant date	May 19, 2020

Abstract

A computed tomography device includes a slipring for rotational transmission and a feed line. The slipring is arranged to be rotatable relative to the feed line. Two sliding contact elements are further included, forming sliding contacts between a slideway of the slipring and the feed line, the two sliding contacts being connected in parallel with one another and electrically conductively connected together via at least one portion of the slideway and via at least one portion of the feed line. Finally, the computed tomography device includes a measuring apparatus, configured to acquire a measured value dependent on a resultant inductance between the two sliding contact elements; and at least one processor, configured to determine an operating state of the two sliding contacts based upon the measured value.

First claim

What is claimed is:

1. A computed tomography device, comprising:
a slipring for rotational transmission;
a feed line, the slipring being arranged to be rotatable relative to the feed line;
two sliding contact elements, forming two sliding contacts between a slideway of the slipring and the feed line, the two sliding contacts being connected in parallel with one another and electrically conductively connected together via at least one portion of the slideway and via at least one portion of the feed line;
a measuring apparatus, configured to acquire a measured value dependent on a resultant inductance between the two sliding contact elements; and
at least one processor, configured to determine an operating state of the two sliding contacts based upon the measured value.

2. The computed tomography device of claim 1 , wherein the at least one processor is configured to compare the measured value with a reference value and determine a result and wherein the at least one processor is further configured to determine an operating state of the two sliding contacts based upon the result.

3. The computed tomography device of claim 2 ,
wherein the measuring apparatus includes a capacitor, forming a parallel resonant circuit with the resultant inductance between the two sliding contact elements, and
wherein the measured value is a resonant frequency of the parallel resonant circuit.

4. The computed tomography device of claim 3 ,
wherein the measuring apparatus includes a coaxial cable and a resonant frequency determination device configured to determine the resonant frequency of the parallel resonant circuit, and
wherein the two sliding contact elements are connected via the coaxial cable to the resonant frequency determination device, the coaxial cable forming at least one part of the capacitor and, together with the resultant inductance between the two sliding contact elements, forming a parallel resonant circuit.

5. The computed tomography device of claim 4 ,
wherein the resonant frequency determination device is a network analyzer.

6. The computed tomography device of claim 1 ,
wherein the measuring apparatus includes a capacitor, forming a parallel resonant circuit with the resultant inductance between the two sliding contact elements, and
wherein the measured value is a resonant frequency of the parallel resonant circuit.

7. The computed tomography device of claim 6 ,
wherein the measuring apparatus includes a coaxial cable and a resonant frequency determination device configured to determine the resonant frequency of the parallel resonant circuit, and
wherein the two sliding contact elements are connected via the coaxial cable to the resonant frequency determination device, the coaxial cable forming at least one part of the capacitor and, together with the resultant inductance between the two sliding contact elements, forming a parallel resonant circuit.

8. The computed tomography device of claim 7 ,
wherein the resonant frequency determination device is a network analyzer.

9. The computed tomography device of claim 1 ,
wherein each of the two sliding contact elements takes a form of a carbon brush.

10. A method for determining an operating state of sliding contacts on a slipring for rotational transmission in a computed tomography device, the method comprising:
acquiring a measured value, dependent on a resultant inductance between two sliding contact elements, the two sliding contact elements forming two sliding contacts between a slideway of the slipring and a feed line, connected in parallel with one another such that the two sliding contact elements are electrically conductively connected together via at least one portion of the slideway and via at least one portion of the feed line, wherein the slipring is arranged so as to be rotatable relative to the feed line; and
determining the operating state of the two sliding contacts based on the measured value acquired.

11. The method of claim 10 , further comprising:
comparing the measured value is compared with a reference value, wherein the operating state of the sliding contacts is determined, during the determining, based upon a result of the comparing.

12. The method of claim 11 , further comprising:
determining a time series based upon the measured value;
performing pattern recognition based on the time series determined, and
wherein the operating state of the sliding contacts is determined, during the determining, based upon a result of the performing of the pattern recognition.

13. The method as claimed in claim 12 ,
wherein the pattern recognition performed, during the performing, based upon a trained machine learning algorithm.

14. The method of claim 10 , further comprising:
determining a time series based upon the measured value;
performing pattern recognition based on the time series determined, and
wherein the operating state of the sliding contacts is determined, during the determining, based upon a result of the performing of the pattern recognition.

15. The method as claimed in claim 14 ,
wherein the pattern recognition performed, during the performing, based upon a trained machine learning algorithm.

16. The method of claim 10 , wherein a parallel resonant circuit is formed from a capacitor and a resultant inductance between the two sliding contact elements, and wherein the measured value is a resonant frequency of the parallel resonant circuit.

17. The method of claim 10 , wherein, as a function of the operating state of the two sliding contacts determined, at least one of the two sliding contact elements is replaced.

18. The method of claim 10 , wherein, as a function of the operating state of the sliding contacts determined, a contact pressure of at least one of the two sliding contact elements against the slideway is modified.

19. The method of claim 10 , wherein the measured value is acquired while electrical energy for supplying an X-ray source is transmitted from the feed line to the slideway, via the two sliding contact elements.

20. The method of claim 19 , wherein the electrical energy for supplying the X-ray source is transmitted in a form of at least one high frequency pulsed current.

Assignees

• Siemens Healthcare Gmbh
• Siemens Healthcare Gmbj

Inventors

• Gebert Bernhard
• Krauss Markus

Classifications

• A61B6/52

  Devices using data or image processing specially adapted for radiation diagnosis · CPC title

• G01R27/28

  Measuring attenuation, gain, phase shift or derived characteristics of electric four pole networks, i.e. two-port networks; Measuring transient response (in line transmission systems H04B3/46) · CPC title

• A61B6/586

  Detection of faults or malfunction of the device · CPC title

• A61B6/56

  Details of data transmission or power supply, e.g. use of slip rings · CPC title

• A61B6/035

  Mechanical aspects of CT · CPC title