Methods for monitoring structural health conditions
First Claim
1. A computer-implemented method for interrogating health conditions of a structure using a plurality of diagnostic network patches (DNP) implemented thereto, each of the patches being able to operate as at least one of a transmitter patch and a sensor patch, the method comprising:
- forming a diagnostic network including the patches and a plurality of signal transmission paths, each said signal transmission path being a signal link between a transmitter patch and a sensor patch;
representing the diagnostic network by a graph, wherein the patches and signal transmission paths are respectively abstracted as nodes and edges in the graph;
partitioning the diagnostic network into one or more subgroups, each of the subgroups including a designated transmitter patch and one or more sensor patches;
causing, by use of a computer processor, the designated transmitter patch to transmit a signal and the sensor patches to receive the signal;
comparing the received signal with a baseline signal to determine a deviation therebetween, the baseline signal being measured by use of the diagnostic network in absence of structural anomaly; and
analyzing the deviation to determine the health conditions of the structure.
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Accused Products
Abstract
Methods and recordable media for monitoring structural health conditions. The present invention provides a method for interrogating a damage of a host structure using a diagnostic network patch (DNP) system having patches. An interrogation module partitions the plurality of patched in subgroups and measures the sensor signals generated and received by actuator and sensor patches, respectively. Then, a process module loads sensor signal data to identify Lamb wave modes, determine the time of arrival of the modes and generate a tomographic image. It also determines distribution of other structural condition indices to generate tomographic images of the host structure. A set of tomographic images can be stacked to generate a hyperspectral tomography cube. A classification module generates codebook based on K-mean/Learning Vector Quantization algorithm and uses a neural-fuzzy-inference system to determine the type of damages of the host structure.
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Citations
28 Claims
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1. A computer-implemented method for interrogating health conditions of a structure using a plurality of diagnostic network patches (DNP) implemented thereto, each of the patches being able to operate as at least one of a transmitter patch and a sensor patch, the method comprising:
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forming a diagnostic network including the patches and a plurality of signal transmission paths, each said signal transmission path being a signal link between a transmitter patch and a sensor patch; representing the diagnostic network by a graph, wherein the patches and signal transmission paths are respectively abstracted as nodes and edges in the graph; partitioning the diagnostic network into one or more subgroups, each of the subgroups including a designated transmitter patch and one or more sensor patches; causing, by use of a computer processor, the designated transmitter patch to transmit a signal and the sensor patches to receive the signal; comparing the received signal with a baseline signal to determine a deviation therebetween, the baseline signal being measured by use of the diagnostic network in absence of structural anomaly; and analyzing the deviation to determine the health conditions of the structure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A computer readable medium carrying one or more sequences of instructions for interrogating health conditions of a structure using a plurality of diagnostic network patches (DNP) implemented thereto, each of the patches being able to operate as at least one of a transmitter patch and a sensor patch, 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:
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forming a diagnostic network including the patches and a plurality of signal transmission paths, each said signal transmission path being a signal link between a transmitter patch and a sensor patch; representing the diagnostic network by a graph, wherein the patches and signal transmission paths are respectively abstracted as nodes and edges in the graph; partitioning the diagnostic network into one or more subgroups, each of the subgroups including a designated transmitter patch and one or more sensor patches; causing the designated transmitter patch to transmit a signal and the sensor patches to receive the signal; comparing the received signal with a baseline signal to determine a deviation therebetween, the baseline signal being measured by use of the diagnostic network in absence of structural anomaly; and analyzing the deviation to determine the health conditions of the structure. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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Specification