Diagnostics using information specific to a subsystem
First Claim
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1. A method for analyzing fault data from at least one of a machine, system, and process to determine a repair, said method comprising:
- (a) analyzing said fault data with at least one of a fault rule and a case-based reasoning algorithm;
(b) factoring in said at least one of a software version, a customer identification, and a configuration version of at least one of said machine, system, and process; and
(c) determining a predicted repair based on at least one of said fault rule and said case-based reasoning algorithm in combination with at least one of said software version, said customer identification and said configuration version.
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Abstract
A method for analyzing fault data specific to a machine comprising a plurality of subsystems, said method comprising collecting fault data from a machine experiencing a malfunction, filtering said fault data with a noise-reduction filter to produce noise-reduced fault data, establishing fault rules specific to a subsystem of said machine, applying fault rules specific to said subsystem to noise-reduced fault data, and predicting at least one repair specific to said subsystem based on said fault rules and said noise-reduced fault data.
39 Citations
33 Claims
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1. A method for analyzing fault data from at least one of a machine, system, and process to determine a repair, said method comprising:
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(a) analyzing said fault data with at least one of a fault rule and a case-based reasoning algorithm;
(b) factoring in said at least one of a software version, a customer identification, and a configuration version of at least one of said machine, system, and process; and
(c) determining a predicted repair based on at least one of said fault rule and said case-based reasoning algorithm in combination with at least one of said software version, said customer identification and said configuration version. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for analyzing fault data specific to a machine comprising a plurality of subsystems, said method comprising:
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(a) collecting fault data from a machine experiencing a malfunction;
(b) filtering said fault data with a noise-reduction filter to produce noise-reduced fault data;
(c) establishing a fault rule specific to a subsystem of said plurality of subsystems of said machine;
(d) applying said fault rule specific to said subsystem to said noise-reduced fault data; and
(e) predicting at least one repair specific to said subsystem based on said fault rules and said noise-reduced fault data. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A method for analyzing fault data specific to a mobile asset comprising a plurality of subsystems, said method comprising:
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(a) collecting fault data from said mobile asset experiencing a malfunction;
(b) filtering said fault data with a noise-reduction filter to produce noise-reduced fault data;
(c) establishing a case-based reasoning algorithm specific to a subsystem of said plurality of subsystems of said mobile asset;
(d) applying said case-based reasoning algorithm specific to said subsystem to noise-reduced fault data; and
(e) predicting at least one repair specific to said subsystem based on said case-based reasoning algorithm and said noise-reduced fault data. - View Dependent Claims (20, 21, 22, 23, 24)
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25. A system for analyzing fault data specific to a subsystem of a machine, said system comprising:
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(a) a fault data collection device for collecting and storing fault data from a malfunctioning machine;
(b) a processor connected to said fault data collection device;
(c) a fault data filtering system connected to said processor;
(d) a discriminator generation device to discriminate based on at least one of a software version, a customer identification, and a configuration version of said subsystem; and
(e) wherein said processor compares said fault data with at least a fault rule and an algorithm generated by said discriminator generation device and predicts a repair specific to said subsystem. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33)
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Specification