IPC분류정보
국가/구분 |
United States(US) Patent
등록
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국제특허분류(IPC7판) |
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출원번호 |
UP-0827319
(2007-07-10)
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등록번호 |
US-7584075
(2009-09-16)
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발명자
/ 주소 |
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출원인 / 주소 |
- Advanced Structure Monitoring, Inc.
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대리인 / 주소 |
Patent Office of Dr. Chung Sik Park
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인용정보 |
피인용 횟수 :
7 인용 특허 :
53 |
초록
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Systems, methods and recordable media for generating tomographic images to monitor structural health conditions. A method includes the steps of obtaining a plurality of damage index values for a network that is coupled to a host structure and has a plurality of diagnostic network patches (DNP), gene
Systems, methods and recordable media for generating tomographic images to monitor structural health conditions. A method includes the steps of obtaining a plurality of damage index values for a network that is coupled to a host structure and has a plurality of diagnostic network patches (DNP), generating a distribution of damage index value over a surface using the obtained damage index values, and formatting the distribution as at least one tomographic image. Each of the patches is able to operate as at least one of a transmitter patch and a sensor patch. The damage index values is a quantity to be affected by damage in the host structure or associated with signals generated by the patches in a response to an impact on the host structure.
대표청구항
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What is claimed: 1. A computer-implemented method of generating a tomographic image for structural health monitoring, comprising: obtaining one or more damage index values for a network coupled to a structure and having a plurality of diagnostic network patches (DNP) secured to the structure, each
What is claimed: 1. A computer-implemented method of generating a tomographic image for structural health monitoring, comprising: obtaining one or more damage index values for a network coupled to a structure and having a plurality of diagnostic network patches (DNP) secured to the structure, each of the patches being able to operate as at least one of a transmitter patch for transmitting a signal that propagates in the structure and a sensor patch for sensing the signal, each of the damage index values being a quantity to be affected by damage in a host structure of the network; generating a distribution of damage index value over a surface using the obtained damage index values; and formatting, by use of a computer process, the distribution as at least one tomographic image. 2. The method of claim 1, wherein the step of generating a distribution includes: designating a plurality of points on the surface; and assigning damage index values to the designated points using the obtained damage index values. 3. The method of claim 2, wherein the step of assigning damage index values includes: employing an expert system to determine damage index values at the designated points. 4. The method of claim 3, wherein the expert system is a neuro-fuzzy inference system based on a fuzzy if-then rule for a distance of each of the transmission paths of the network and collaborated with a neural network. 5. The method of claim 4, wherein the neural network is a back propagation multiplayer perception with radial basis function networks. 6. The method of claim 2, wherein the step of generating a distribution further includes: generating mesh-grid points on the surface; and determining damage index values at the mesh-grid points using the assigned damage index values. 7. The method of claim 6, wherein the step of determining damage index values at the mesh-grid points includes: utilizing an interpolation method to calculate damage index values at the mesh-grid points. 8. The method of claim 6, wherein the step of generating mesh-grid points on the surface includes: performing Delaunay triangulation to form the mesh-grid points. 9. The method of claim 6, wherein the step of determining damage index values at the mesh-grid points includes: applying an algebraic reconstruction technique. 10. The method of claim 6, wherein the step of determining damage index values at the mesh-grid points includes: applying a simultaneous iterative reconstruction technique (SIRT). 11. The method of claim 6, wherein the step of determining damage index values at the mesh-grid points includes: applying a scatter-operator-eigenfunction based technique. 12. The method of claim 6, further comprising: training a cooperative hybrid expert system with an artificial damage; and utilizing the cooperative hybrid expert system to filter out a false hot-spot region in the distribution. 13. The method of claim 6, further comprising: refining the damage index values at the mesh-grid points; and utilizing a genetic algorithm to assign the refined damage index values to the mesh-grid points thereby to generate an updated distribution of damage index value. 14. The method of claim 6, further comprising: converting data of the mesh-grid points and the damage index values at the mesh-grid points into an eXtensible Markup Language (XML) formatted document. 15. The method of claim 1, wherein the step of generating a distribution includes: determining intersection points where signal transmission paths of the network cross each other; and for each said intersection point, assigning a product of two damage index values respectively associated with two crossing signal transmission paths to said intersection point. 16. The method of claim 15, wherein the step of generating a distribution further includes: determining bisection points of a portion of the signal transmission paths, wherein each of the portion of signal transmission paths does not cross other signal transmission path, and for each said bisection point, assigning a damage index value associated with a corresponding path to said bisection point. 17. The method of claim 15, wherein the product of two damage index values is calculated by use of a three-dimensional Gaussian function. 18. The method of claim 1, further comprising: storing the tomographic image in a depository. 19. The method of claim 1, further comprising: repeating the steps of obtaining a plurality of damage index values to formatting the distribution at a plurality of excitation frequencies thereby to generate a plurality of tomographic images; and stacking the tomographic images to generate a hyperspectral cube. 20. The method of claim 1, further comprising: repeating the steps of obtaining a plurality of damage index values to formatting the distribution at a plurality of consecutive temporal points of a damage state thereby to generate a plurality of tomographic images; and stacking the tomographic images to generate a damage evolution manifold, wherein said damage evolution manifold represents an evolved state of a structural condition of the host structure. 21. A computer-implemented method of generating a tomographic image for structural health monitoring, comprising: obtaining one or more damage index values for a network coupled to a structure and having a plurality of diagnostic network patches (DNP) secured to the structure, each of the patches being able to operate as at least one of a transmitter patch for transmitting a signal that propagates in the structure and a sensor patch for sensing the signal, each of the damage index values being associated with a signal generated by one of the patches in response to an impact on a host structure of the network; generating a distribution of damage index value over a surface using the obtained damage index values; and formatting, by use of a computer process, the distribution as at least one tomographic image. 22. The method of claim 21, wherein the step of generating a distribution includes: designating a plurality of points on the surface; and assigning damage index values to the designated points using the obtained damage index values. 23. The method of claim 22, wherein the step of generating a distribution further includes: generating mesh-grid points on the surface; and determining damage index values at the mesh-grid points using the assigned damage index values. 24. A computer readable medium carrying one or more sequences of instructions for generating a tomographic image for structural health monitoring, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of: obtaining one or more damage index values for a network coupled to a structure and having a plurality of diagnostic network patches (DNP) secured to the structure, each of the patches being able to operate as at least one of a transmitter patch for transmitting a signal that propagates in the structure and a sensor patch for sensing the signal, each of the damage index values being a quantity to be affected by damage in a host structure of the network; generating a distribution of damage index value over a surface using the obtained damage index values; and formatting, by use of a computer process, the distribution as at least one tomographic image. 25. The computer readable medium of claim 24, wherein the step of generating a distribution includes: designating a plurality of points on the surface; and assigning damage index values to the designated points using the obtained damage index values. 26. The computer readable medium of claim 25, wherein the step of generating a distribution further includes: generating mesh-grid points on the surface; and determining damage index values at the mesh-grid points using the assigned damage index values. 27. The computer readable medium of claim 24, wherein the step of generating a distribution includes: determining intersection points where signal transmission paths of the network cross each other; and for each said intersection point, assigning a product of two damage index values respectively associated with two crossing signal transmission paths to said intersection point. 28. The computer readable medium of claim 27, wherein the step of generating a distribution further includes: determining bisection points of a portion of the signal transmission paths, wherein each of the portion of signal transmission paths does not cross other signal transmission path, and for each said bisection point, assigning a damage index value associated with a corresponding path to said bisection point. 29. The computer readable medium of claim 24, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the additional steps of: repeating the steps of obtaining a plurality of damage index values to formatting the distribution at a plurality of excitation frequencies thereby to generate a plurality of tomographic images; and stacking the tomographic images to generate a hyperspectral cube. 30. The computer readable medium of claim 24, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the additional steps of: repeating the steps of obtaining a plurality of damage index values to formatting the distribution at a plurality of consecutive temporal points of a damage state thereby to generate a plurality of tomographic images; and stacking the tomographic images to generate a damage evolution manifold, wherein said damage evolution manifold represents an evolved state of a structural condition of the host structure. 31. The computer readable medium of claim 24, wherein the one or more sequences of instructions implement a wireless communication method of Wireless Application Protocol (WAP) or Wireless Markup Language (WML) for the Internet Web Access of a WAP-enabled cell phone, a Pocket PC with a HTML browser, or an HTML-enabled device. 32. A computer readable medium carrying one or more sequences of instructions for generating a tomographic image for structural health monitoring, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of: obtaining one or more damage index values for a network coupled to a structure and having a plurality of diagnostic network patches (DNP) secured to the structure, each of the patches being able to operate as at least one of a transmitter patch for transmitting a signal that propagates in the structure and a sensor patch for sensing the signal, each of the damage index values being associated with a signal generated by one of the patches in response to an impact on a host structure of the network; generating a distribution of damage index value over a surface using the obtained damage index values; and formatting, by use of a computer process, the distribution as at least one tomographic image. 33. The computer readable medium of claim 32, wherein the step of generating a distribution includes: designating a plurality of points on the surface; and assigning damage index values to the designated points using the obtained damage index values. 34. The computer readable medium of claim 33, wherein the step of generating a distribution further includes: generating mesh-grid points on the surface; and determining damage index values at the mesh-grid points using the assigned damage index values. 35. The computer readable medium of claim 32, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the additional steps of: repeating the steps of obtaining a plurality of damage index values to formatting the distribution at a plurality of excitation frequencies thereby to generate a plurality of tomographic images; and stacking the tomographic images to generate a hyperspectral cube. 36. The computer readable medium of claim 32, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the additional steps of: repeating the steps of obtaining a plurality of damage index values to formatting the distribution at a plurality of consecutive temporal points of a damage state thereby to generate a plurality of tomographic images; and stacking the tomographic images to generate a damage evolution manifold, wherein said damage evolution manifold represents an evolved state of a structural condition of the host structure. 37. A system for generating a tomographic image for structural health monitoring, comprising: a network to be coupled to a host structure and having a plurality of diagnostic network patches (DNP) secured to the structure, each of the patches being able to operate as at least one of a transmitter patch for transmitting a signal that propagates in the structure and a sensor patch for sensing the signal; means for obtaining a plurality of damage index values for the network; means for generating a distribution of damage index value over a surface using the obtained damage index values; and means for formatting, by use of a computer process, the distribution as at least one tomographic image. 38. The system of claim 37, wherein the means for generating a distribution includes: means for designating a plurality of points on the surface; and means for assigning damage index values to the designated points using the obtained damage index values. 39. The system of claim 37, wherein the means for generating a distribution further. includes: means for generating mesh-grid points on the surface; and means for determining damage index values at the mesh-grid points using the assigned damage index values. 40. The system of claim 37, wherein the means for generating a distribution includes: means for determining intersection points where signal transmission paths of the network cross each other; and means for assigning, for each said intersection point, a product of two damage index values respectively associated with two crossing signal transmission paths to said intersection point. 41. The system of claim 40. wherein the means for generating a distribution further includes: means for determining bisection points of a portion of the signal transmission paths, wherein each of the portion of signal transmission paths does not cross other signal transmission path, and means for assigning, for each said bisection point, a damage index value associated with a corresponding path to said bisection point. 42. The system of claim 37, further comprising: means for operating the means for obtaining a plurality of damage index values, for generating a distribution of damage index values, and for formatting the distribution at a plurality of excitation frequencies thereby to generate a plurality of tomographic images; and means for stacking the tomographic images to generate a hyperspectral cube. 43. The system of claim 37, further comprising means for operating the means for obtaining a plurality of damage index values, for generating a distribution of damage index values, and for formatting the distribution at a plurality of consecutive temporal points of a damage state thereby to generate a plurality of tomographic images; and means for stacking the tomographic images to generate a damage evolution manifold, wherein said damage evolution manifold represents an evolved state of a structural condition of the host structure.
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