System and method for performing image-based diagnosis over a network
First Claim
1. A system for performing image-based diagnosis of a machine, comprising:
- a database containing a plurality of historical images taken from a plurality of machines, the plurality of historical images comprising a plurality of ideal images generated from the plurality of machines using all possible machine settings and a plurality of artifact images generated from the plurality of machines, each of the artifact images having known faults associated therewith and a corresponding corrective action for repairing the faults; and
a diagnostic unit configured to diagnose a new artifact image from the machine, the machine having an unknown fault, the diagnostic unit being further configured to communicate historical and non-historical images or data associated with the system to a remote facility, the diagnostic unit comprising a diagnostic image processor comprising means for finding an ideal image from the plurality of historical images that most closely matches the new artifact image, means for assigning an artifact category to the new artifact image based on the matched ideal image, and means for extracting an artifact feature from the new artifact image according to the assigned category; and
a diagnostic fault isolator comprising means for generating a plurality of metrics for the extracted artifact feature and means for applying the plurality of metrics to identify an artifact image from the plurality of historical images that most closely matches the new artifact image and a corrective action for repairing the unknown fault.
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Abstract
A system for performing image-based diagnosis of a machine includes a database containing a plurality of historical images taken from a plurality of machines, a diagnostic unit configured to diagnose a new artifact image from the machine and to communicate historical and non-historical images or data associated with the system to a remote facility. The plurality of historical images include a plurality of ideal images generated from the plurality of machines using all possible machine settings and a plurality of artifact images generated from the plurality of machines, each of the artifact images having known faults associated therewith and a corresponding corrective action for repairing the faults. The diagnostic unit includes a diagnostic image processor and a diagnostic fault isolator. The diagnostic image processor includes means for finding an ideal image from the plurality of historical images that most closely matches the new artifact image, means for assigning an artifact category to the new artifact image based on the matched ideal image, and means for extracting an artifact feature from the new artifact image according to the assigned category. The diagnostic fault isolator includes means for generating a plurality of metrics for the extracted artifact feature and means for applying the plurality of metrics to identify an artifact image from the plurality of historical images that most closely matches the new artifact image and a corrective action for repairing the unknown fault.
71 Citations
21 Claims
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1. A system for performing image-based diagnosis of a machine, comprising:
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a database containing a plurality of historical images taken from a plurality of machines, the plurality of historical images comprising a plurality of ideal images generated from the plurality of machines using all possible machine settings and a plurality of artifact images generated from the plurality of machines, each of the artifact images having known faults associated therewith and a corresponding corrective action for repairing the faults; and
a diagnostic unit configured to diagnose a new artifact image from the machine, the machine having an unknown fault, the diagnostic unit being further configured to communicate historical and non-historical images or data associated with the system to a remote facility, the diagnostic unit comprising a diagnostic image processor comprising means for finding an ideal image from the plurality of historical images that most closely matches the new artifact image, means for assigning an artifact category to the new artifact image based on the matched ideal image, and means for extracting an artifact feature from the new artifact image according to the assigned category; and
a diagnostic fault isolator comprising means for generating a plurality of metrics for the extracted artifact feature and means for applying the plurality of metrics to identify an artifact image from the plurality of historical images that most closely matches the new artifact image and a corrective action for repairing the unknown fault.- View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for performing image-based diagnosis of a machine, comprising the steps of:
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obtaining a plurality of historical images taken from a plurality of machines via a network, the plurality of historical images comprising a plurality of ideal images generated from the plurality of machines using all possible machine settings and a plurality of artifact images generated from the plurality of machines, each of the artifact images having known faults associated therewith and a corresponding corrective action for repairing the faults;
receiving a new artifact image from a machine having an unknown fault via the network;
finding an ideal image from the plurality of historical images that most closely matches the new artifact image;
assigning an artifact category to the new artifact image based on the ideal image that most closely matches the new artifact image;
generating a plurality of metrics for the artifact category assigned to the new artifact image; and
using the plurality of metrics to identify an artifact image from the plurality of historical images that most closely matches the new artifact image and a corrective action for repairing the unknown fault. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21)
matching each of the plurality of artifact images to a corresponding ideal image taken from the plurality of ideal images;
assigning an artifact category to each match; and
extracting an artifact feature from each match.
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14. The method according to claim 13, further comprising the steps of:
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registering the artifact image with its known fault to the corresponding ideal image; and
removing the corresponding ideal image from the registered image.
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15. The method according to claim 12, further comprising the step of determining an artifact feature for the new artifact image.
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16. The method according to claim 12, further comprising the steps of:
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registering the new artifact image to a corresponding ideal image; and
removing the corresponding ideal image from the registered image.
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17. The method according to claim 12, further comprising the step of adding newly identified artifact images and corresponding corrective actions to the plurality of artifact images in the plurality of historical images.
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18. The method according to claim 12, further comprising the step of inputting an error log from the machine having the unknown fault, the error log containing data representative of events occurring during operation of the machines.
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19. The method according to claim 18, wherein the inputted error log is used to generate the plurality of metrics for new artifact image.
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20. The method of claim 12, further comprising communicating a corrected image to the machine having the unknown fault via the network.
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21. The method of claim 20, further comprising providing the corrected image to an operator workstation.
Specification