Method for predictive maintenance of a machine
First Claim
1. A method for predictive maintenance of a machine, the method comprising:
- collecting data related to operation of the machine;
transforming at least some of the data into feature vectors in a first feature space;
standardizing at least some of the feature vectors, thereby creating standardized feature vectors in a standardized feature space;
transforming at least some of the standardized feature vectors into two-dimensional feature vectors in a two-dimensional feature space;
clustering at least some of the two-dimensional feature vectors based on similarity between the two-dimensional feature vectors, thereby forming at least one two-dimensional vector cluster;
collecting additional data related to operation of the machine;
transforming at least some of the additional data into additional feature vectors in the first feature space;
standardizing at least some of the additional feature vectors, thereby creating additional standardized feature vectors in the standardized feature space;
transforming at least some of the additional standardized feature vectors into additional two-dimensional feature vectors in the two-dimensional feature space; and
analyzing at least some of the additional two-dimensional feature vectors relative to the at least one two-dimensional vector cluster to provide predictive maintenance information for the machine.
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Accused Products
Abstract
A method for predictive maintenance of a machine includes collecting feature data for the machine which includes a plurality of feature vectors. At least some of the feature vectors are standardized to facilitate compatibility between different vectors. At least some of the standardized feature vectors are transformed into corresponding two-dimensional feature vectors. At least some of the two-dimensional feature vectors are clustered together based on operating modes of the machine. Similar steps are performed on additional feature data collected from the machine. Recently gathered two-dimensional feature vectors are compared to previously clustered feature vectors to provide predictive maintenance information for the machine.
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Citations
26 Claims
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1. A method for predictive maintenance of a machine, the method comprising:
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collecting data related to operation of the machine;
transforming at least some of the data into feature vectors in a first feature space;
standardizing at least some of the feature vectors, thereby creating standardized feature vectors in a standardized feature space;
transforming at least some of the standardized feature vectors into two-dimensional feature vectors in a two-dimensional feature space;
clustering at least some of the two-dimensional feature vectors based on similarity between the two-dimensional feature vectors, thereby forming at least one two-dimensional vector cluster;
collecting additional data related to operation of the machine;
transforming at least some of the additional data into additional feature vectors in the first feature space;
standardizing at least some of the additional feature vectors, thereby creating additional standardized feature vectors in the standardized feature space;
transforming at least some of the additional standardized feature vectors into additional two-dimensional feature vectors in the two-dimensional feature space; and
analyzing at least some of the additional two-dimensional feature vectors relative to the at least one two-dimensional vector cluster to provide predictive maintenance information for the machine. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for predictive maintenance of a machine, the method comprising:
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collecting feature data for the machine while the machine is operating, the feature data including a plurality of feature vectors;
standardizing at least some of the feature vectors to facilitate compatibility between the standardized feature vectors;
transforming at least some of the standardized feature vectors into corresponding two-dimensional feature vectors;
clustering at least some of the two-dimensional feature vectors based on the operating modes of the machine, thereby forming a plurality of two-dimensional operating mode clusters;
collecting additional feature data while the machine is operating, the additional feature data including a plurality of additional feature vectors;
standardizing at least some of the additional feature vectors;
transforming at least some of the additional standardized feature vectors into corresponding additional two-dimensional feature vectors; and
applying an algorithm to at least some of the additional two-dimensional feature vectors to facilitate a comparison between the operation of the machine when the feature data was collected and operation of the machine when the additional feature data was collected, thereby providing predictive maintenance information for the machine. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A method for predictive maintenance of a machine, the method comprising:
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collecting feature data for the machine;
defining feature vectors from the feature data;
standardizing the feature vectors;
clustering the standardized feature vectors based on operating modes of the machine;
transforming the standardized feature vectors into corresponding two-dimensional feature vectors;
clustering the two-dimensional feature vectors at least based on the operating modes of the machine; and
recursively analyzing new feature data relative to at least some of the clusters, thereby providing predictive maintenance information for the machine. - View Dependent Claims (22, 23, 24, 25, 26)
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Specification