System and method for generating service bulletins based on machine performance data
First Claim
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1. A method implemented on a computer system for collecting operational state and usage data from a plurality of networked machines and assessing the diagnostics/prognostic states of the networked machines and their components for adjusting machine maintenance schedules for at least one machine within the plurality of networked machines within a computer controlled production system, wherein the networked machines are in communication with a service center and with a processor within the computer system, each of the machines within the population of machines having a manufacturer'"'"'s suggested service schedule, the method comprising:
- applying domain knowledge to develop at least one hypothesis defining a correlation between usage/environment of at least one machine of the population of machines and the operational health of said at least one machine;
gathering usage data from the population of machines;
deleting unrelated usage data at a preprocessing stage;
identifying suitable data mining tasks and techniques for analysis of said usage data;
applying data mining tools to discover knowledge pertaining to said hypothesis;
interpreting said discovered knowledge;
determining whether to refine said hypothesis;
repeating applying domain knowledge to develop a revised hypothesis, gathering usage data, deleting unrelated usage data, identifying suitable data mining tasks, applying data mining tools to discover knowledge pertaining to said revised hypothesis, and interpreting said discovered knowledge, and determining whether to refine said hypothesis until a determination is made not to continuing to refine said hypothesis;
adjusting the manufacturer'"'"'s service schedule based on data mining results; and
providing feedback to the machine population.
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Abstract
A computer-implemented method collects operational state and usage data from a population of networked machines in communication with a service center for the purpose of adjusting service schedules. The method includes applying domain knowledge to develop one or more hypotheses defining a correlation between usage/environment and the operational health of the machine(s). The method gathers usage data from the machines, deletes unrelated usage data at a preprocessing stage, and identifies suitable data mining tasks and techniques for analysis of the data. Data mining tools are applied to discover knowledge pertaining to the one or more hypotheses. Discovered knowledge is interpreted and a determination is made on whether to refine the one or more hypotheses. When a determination is made not to continue refining the one or more hypotheses, the manufacturer'"'"'s service schedule is adjusted and feedback is provided to the machine population.
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Citations
19 Claims
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1. A method implemented on a computer system for collecting operational state and usage data from a plurality of networked machines and assessing the diagnostics/prognostic states of the networked machines and their components for adjusting machine maintenance schedules for at least one machine within the plurality of networked machines within a computer controlled production system, wherein the networked machines are in communication with a service center and with a processor within the computer system, each of the machines within the population of machines having a manufacturer'"'"'s suggested service schedule, the method comprising:
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applying domain knowledge to develop at least one hypothesis defining a correlation between usage/environment of at least one machine of the population of machines and the operational health of said at least one machine;
gathering usage data from the population of machines;
deleting unrelated usage data at a preprocessing stage;
identifying suitable data mining tasks and techniques for analysis of said usage data;
applying data mining tools to discover knowledge pertaining to said hypothesis;
interpreting said discovered knowledge;
determining whether to refine said hypothesis;
repeating applying domain knowledge to develop a revised hypothesis, gathering usage data, deleting unrelated usage data, identifying suitable data mining tasks, applying data mining tools to discover knowledge pertaining to said revised hypothesis, and interpreting said discovered knowledge, and determining whether to refine said hypothesis until a determination is made not to continuing to refine said hypothesis;
adjusting the manufacturer'"'"'s service schedule based on data mining results; and
providing feedback to the machine population. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer implemented system for collecting operational state and usage data from a plurality of networked machines and assessing the diagnostics/prognostic states of the networked machines and their components for adjusting machine maintenance schedules for at least one machine within the plurality of networked machines within a computer controlled production system, wherein the networked machines are in communication with a service center and with a processor within the computer system, each of the machines within the population of machines having a manufacturer'"'"'s suggested service schedule, the system comprising:
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means for applying domain knowledge to develop at least one hypothesis defining a correlation between usage/environment of at least one machine of the population of machines and the operational health of said at least one machine;
means for gathering usage data from the population of machines;
means for deleting unrelated usage data at a preprocessing stage;
means for identifying suitable data mining tasks and techniques for analysis of said usage data;
means for applying data mining tools to discover knowledge pertaining to said hypothesis;
means for interpreting said discovered knowledge;
means for determining whether to refine said hypothesis;
means for repeating applying domain knowledge to develop a revised hypothesis, gathering usage data, deleting unrelated usage data, identifying suitable data mining tasks, applying data mining tools to discover knowledge pertaining to said revised hypothesis, and interpreting said discovered knowledge, and determining whether to refine said hypothesis until a determination is made not to continuing to refine said hypothesis;
means for adjusting the manufacturer'"'"'s service schedule based on data mining results; and
means for providing feedback to the machine population. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. An article of manufacture comprising a computer usable medium having computer readable program code embodied in said medium which, when said program code is executed by said computer causes said computer to perform method steps for adjusting machine maintenance schedules for at least one machine within a plurality of networked machines within a computer controlled production system, wherein the networked machines are in communication with a service center, each of the machines having a manufacturer'"'"'s suggested service schedule, method comprising:
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applying domain knowledge to develop at least one hypothesis defining a correlation between usage/environment of at least one machine of the population of machines and the operational health of said at least one machine;
gathering usage data from the population of machines;
deleting unrelated usage data at a preprocessing stage;
identifying suitable data mining tasks and techniques for analysis of said usage data;
applying data mining tools to discover knowledge pertaining to said hypothesis;
interpreting said discovered knowledge;
determining whether to refine said hypothesis;
repeating applying domain knowledge to develop a revised hypothesis, gathering usage data, deleting unrelated usage data, identifying suitable data mining tasks, applying data mining tools to discover knowledge pertaining to said revised hypothesis, and interpreting said discovered knowledge, and determining whether to refine said hypothesis until a determination is made not to continuing to refine said hypothesis;
adjusting the manufacturer'"'"'s service schedule based on data mining results; and
providing feedback to the machine population.
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Specification
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Current AssigneePalo Alto Research Center, Inc. (Xerox Holdings Corp.)
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Original AssigneePalo Alto Research Center, Inc. (Xerox Holdings Corp.)
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InventorsLiu, Juan, Thieret, Tracy E., Cheung, Patrick C.
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Application NumberUS10/915,813Publication NumberTime in Patent OfficeDaysField of SearchUS Class Current700/96CPC Class CodesG06Q 10/10 Office automation; Time man...
