Failure diagnosis system, image forming apparatus, computer readable medium and data signal
First Claim
1. A failure diagnosis system comprising:
- a first database that stores a first cause-and-effect network, wherein the first cause-and-effect network stochastically represents a relationship between a plurality of failure-type candidates and first observation information, which have cause-and-effect relationships with the respective failure-type candidates, anda second database that stores a plurality of second cause-and-effect networks for the respective failure-type candidates, wherein each of the second cause-and-effect networks stochastically represents relationships between second observation information and the failure-cause candidates;
an observation-information acquiring unit that acquires the first observation information and the second observation information from a diagnosed system;
a determination-probability calculating unit that calculates a determination probability of each failure-type candidate based on the first observation information acquired by the observation-information acquiring unit and the first cause-and-effect network;
an occurrence-probability calculating unit that calculates occurrence probabilities of the failure-cause candidates for each failure-type candidate based on the second observation information acquired by the observation-information acquiring unit and the second cause-and-effect networks; and
a failure-cause notifying unit that notifies at least one of the failure-cause candidates as a failure cause, based on the determination probabilities of the respective failure-type candidates calculated by the determination-probability calculating unit and the occurrence probabilities of the respective failure-cause candidates calculated by the occurrence-probability calculating unit.
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Accused Products
Abstract
A failure diagnosis system includes a first database, a second database, an observation-information acquiring unit, a determination-probability calculating unit and an occurrence-probability calculating unit. A first cause-and-effect network stored in the first database stochastically represents a relationship between failure-type candidates and first observation information, which have cause-and-effect relationships with the failure-type candidates. Each second cause-and-effect network stored in the second database stochastically represents relationships between second observation information and failure-cause candidates. The observation-information acquiring unit acquires the first and second observation information from a diagnosed system. The determination-probability calculating unit calculates a determination probability of each failure-type candidate based on the first observation information and the first cause-and-effect network. The occurrence-probability calculating unit calculates occurrence probabilities of the failure-cause candidates for each failure-type candidate based on the second observation information and the second cause-and-effect networks.
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Citations
8 Claims
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1. A failure diagnosis system comprising:
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a first database that stores a first cause-and-effect network, wherein the first cause-and-effect network stochastically represents a relationship between a plurality of failure-type candidates and first observation information, which have cause-and-effect relationships with the respective failure-type candidates, and a second database that stores a plurality of second cause-and-effect networks for the respective failure-type candidates, wherein each of the second cause-and-effect networks stochastically represents relationships between second observation information and the failure-cause candidates; an observation-information acquiring unit that acquires the first observation information and the second observation information from a diagnosed system; a determination-probability calculating unit that calculates a determination probability of each failure-type candidate based on the first observation information acquired by the observation-information acquiring unit and the first cause-and-effect network; an occurrence-probability calculating unit that calculates occurrence probabilities of the failure-cause candidates for each failure-type candidate based on the second observation information acquired by the observation-information acquiring unit and the second cause-and-effect networks; and a failure-cause notifying unit that notifies at least one of the failure-cause candidates as a failure cause, based on the determination probabilities of the respective failure-type candidates calculated by the determination-probability calculating unit and the occurrence probabilities of the respective failure-cause candidates calculated by the occurrence-probability calculating unit. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer readable medium storing a program causing a computer to execute a process for a failure diagnosis, the process comprising:
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acquiring first observation information and second observation information from a diagnosed system; calculating a determination probability of each failure-type candidate based on the acquired first observation information and a first cause-and-effect network, wherein the first cause-and-effect network stochastically represents a relationship between the plurality of failure-type candidates and the first observation information, which have cause-and-effect relationships with the respective failure-type candidates; calculating occurrence probabilities of failure-cause candidates for each failure-type candidate based on the acquired second observation information and a plurality of second cause-and-effect networks for the respective failure-type candidates, wherein each second cause-and-effect network stochastically represents relationships between the second observation information of the failure-type candidate and the failure-cause candidates; and notifying at least one of the failure-cause candidates as a failure cause, based on the calculated determination probabilities of the respective failure-type candidates and the calculated occurrence probabilities of the respective failure-cause candidates.
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8. A computer data signal embodied in a carrier wave for enabling a computer to perform a process for a failure diagnosis, the process comprising:
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acquiring first observation information and second observation information from a diagnosed system; calculating a determination probability of each failure-type candidate based on the acquired first observation information and a first cause-and-effect network, wherein the first cause-and-effect network stochastically represents a relationship between the plurality of failure-type candidates and the first observation information, which have cause-and-effect relationships with the respective failure-type candidates; calculating occurrence probabilities of failure-cause candidates for each failure-type candidate based on the acquired second observation information and a plurality of second cause-and-effect networks for the respective failure-type candidates, wherein each second cause-and-effect network stochastically represents relationships between the second observation information of the failure-type candidate and the failure-cause candidates; and notifying at least one of the failure-cause candidates as a failure cause, based on the calculated determination probabilities of the respective failure-type candidates and the calculated occurrence probabilities of the respective failure-cause candidates.
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Specification