Failure estimation support apparatus, failure estimation support method and failure estimation support program
View Patent ↗A failure estimation support device 2 includes: a first calculation unit 21 configured to calculate single failure occurrence probabilities of individual single rules for each single rule relating to a single failure from past failure occurrence data; a second calculation unit 22 configured to calculate multiple failure occurrence probabilities that multiple failures occur in association for each combination of multiple single rules using the single failure occurrence probabilities; and a correlation rule generation unit 23 configured to select the combination of the multiple failure occurrence probabilities greater than a predetermined threshold among the multiple failure occurrence probabilities as a correlation rule, and the correlation rule is used as training data for making a learned model which estimates a failure factor perform machine learning together with the single rule.
1. A failure estimation support device comprising:
a first calculation unit, including one or more processors, configured to calculate single failure occurrence probabilities of individual single rules for each single rule relating to a single failure from past failure occurrence data;
a second calculation unit, including one or more processors, configured to calculate multiple failure occurrence probabilities that multiple failures occur in association for each combination of multiple single rules using the single failure occurrence probabilities; and
a correlation rule generation unit, including one or more processors, configured to select the combination of the multiple failure occurrence probabilities greater than a predetermined threshold among the multiple failure occurrence probabilities as a correlation rule,
wherein the correlation rule is configured to be used as training data for making a learned model which estimates a failure factor perform machine learning together with the single rule.
2. The failure estimation support device according to claim 1 ,
wherein the second calculation unit is configured to calculate a probability that failures of the single rules of the combination simultaneously occur, as the multiple failure occurrence probability.
3. The failure estimation support device according to claim 1 ,
wherein the second calculation unit is configured to calculate a probability that a second single rule of the combination occurs in a case where the failure of a first single rule of the combination occurs, as the multiple failure occurrence probability.
4. A failure estimation support method performed by a failure estimation support device comprising:
calculating single failure occurrence probabilities of individual single rules for each single rule relating to a single failure from past failure occurrence data;
calculating multiple failure occurrence probabilities that multiple failures occur in association for each combination of multiple single rules using the single failure occurrence probabilities; and
selecting the combination of the multiple failure occurrence probabilities greater than a predetermined threshold among the multiple failure occurrence probabilities as a correlation rule,
wherein the correlation rule is configured to be used as training data for making a learned model which estimates a failure factor perform machine learning together with the single rule.
5. The failure estimation support method according to claim 4 ,
wherein calculating the multiple failure occurrence probabilities comprises: calculating a probability that failures of the single rules of the combination simultaneously occur, as the multiple failure occurrence probability.
6. The failure estimation support method according to claim 4 ,
wherein calculating the multiple failure occurrence probabilities comprises: calculating a probability that a second single rule of the combination occurs in a case where the failure of a first single rule of the combination occurs, as the multiple failure occurrence probability.
7. A non-transitory computer readable medium storing one or more instructions causing a computer to execute:
calculating single failure occurrence probabilities of individual single rules for each single rule relating to a single failure from past failure occurrence data;
calculating multiple failure occurrence probabilities that multiple failures occur in association for each combination of multiple single rules using the single failure occurrence probabilities; and
selecting the combination of the multiple failure occurrence probabilities greater than a predetermined threshold among the multiple failure occurrence probabilities as a correlation rule,
wherein the correlation rule is configured to be used as training data for making a learned model which estimates a failure factor perform machine learning together with the single rule.
8. The non-transitory computer readable medium according to claim 7 ,
wherein calculating the multiple failure occurrence probabilities comprises: calculating a probability that failures of the single rules of the combination simultaneously occur, as the multiple failure occurrence probability.
9. The non-transitory computer readable medium according to claim 7 ,
wherein calculating the multiple failure occurrence probabilities comprises: calculating a probability that a second single rule of the combination occurs in a case where the failure of a first single rule of the combination occurs, as the multiple failure occurrence probability.