Methods and apparatus to predict machine failures
First Claim
1. A method, comprising:
- parsing first alert data from a work vehicle to identify a first alert sequence, the first alert sequence including alert data between a first machine failure alert and a second machine failure alert;
accessing the first alert sequence from the work vehicle, wherein the first alert sequence is associated with one or more of observed diagnostic code, observed vehicle sensor data, or observed vehicle status data;
comparing the first alert sequence to a model including an association between reference alert sequences, reference machine failures, and probable parts used to repair the respective reference machine failures;
identifying a substantial similarity between the first alert sequence and a first reference alert sequence of the reference alert sequences; and
based on the model and the first reference alert sequence, identifying first probable parts of the probable parts used to repair a first reference machine failure of the reference machine failures, where the first reference machine failure is associated with the first reference alert sequence.
1 Assignment
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Accused Products
Abstract
Methods and apparatus of modeling work vehicle data and predicting machine failures based on the same are disclosed. An example method includes accessing a first alert sequence from a work vehicle, the first alert sequence is associated with one or more of observed diagnostic code, observed vehicle sensor data, or observed vehicle status data; comparing the first alert sequence to a model including an association between reference alert sequences, reference machine failures, and probable parts used to repair the respective reference machine failures; identifying a substantial similarity between the first alert sequence and a first reference alert sequence of the reference alert sequences; and based on the model and the first reference alert sequence, identifying first probable parts of the probable parts used to repair a first reference machine failure of the reference machine failures, where the first reference machine failure is associated with the first reference alert sequence.
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Citations
20 Claims
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1. A method, comprising:
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parsing first alert data from a work vehicle to identify a first alert sequence, the first alert sequence including alert data between a first machine failure alert and a second machine failure alert; accessing the first alert sequence from the work vehicle, wherein the first alert sequence is associated with one or more of observed diagnostic code, observed vehicle sensor data, or observed vehicle status data; comparing the first alert sequence to a model including an association between reference alert sequences, reference machine failures, and probable parts used to repair the respective reference machine failures; identifying a substantial similarity between the first alert sequence and a first reference alert sequence of the reference alert sequences; and based on the model and the first reference alert sequence, identifying first probable parts of the probable parts used to repair a first reference machine failure of the reference machine failures, where the first reference machine failure is associated with the first reference alert sequence. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method, comprising:
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generating a model including a correlation between a first machine failure and first probable parts used to repair the first machine failure; text mining first alert data to identify the first machine failure within the first alert data; identifying a first alert sequence associated with the first machine failure; and updating the model by correlating the first alert sequence with the first machine failure and the first probable parts used to repair the first machine failure. - View Dependent Claims (10, 11, 12, 13)
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14. An article of manufacture comprising instructions, which, when executed, cause a machine to at least:
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parse first alert data from a work vehicle to identify a first alert sequence, the first alert sequence including alert data between a first machine failure alert and a second machine failure alert; access the first alert sequence from the work vehicle; compare the first alert sequence to a model, the model including an association between reference alert sequences, reference machine failures, and probable parts used to repair the respective reference machine failures; identify a substantial similarity between the first alert sequence and a first reference alert sequence of the reference alert sequences; and based on the model and the first reference alert sequence, identify first probable parts of the probable parts used to repair a first reference machine failure of the reference machine failures, where the first reference machine failure is associated with the first reference alert sequence. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification