Method for trouble managing of equipment
First Claim
1. A system for trouble managing of equipment used in a plant, the system comprising:
- a monitoring device for monitoring an operating condition of the equipment;
a memory device for storing data concerning the operating condition, and the memory device in which a plurality of acoustic data corresponding to abnormal noises of the equipment and a plurality of morphologic data corresponding to moving images of combustion condition of the equipment being previously stored;
a first outputting device for outputting the plurality of acoustic data;
a first selecting device for selecting desired acoustic data from the outputted acoustic data of the first outputting device;
a second outputting device for output the plurality of morphologic data;
a second selecting device for selecting desired morphologic data from the outputted morphologic data of the second outputting device;
an inferring device for, when an abnormal signal is detected by the monitoring device, receiving the stored data corresponding to the abnormal signal from the memory device, adding to the node each of the desired acoustic data selected by the first selecting device and the desired morphologic data selected by the second selecting device, and performing inference of cause of the malfunction of the equipment by a first Bayesian network based on the nodes.
1 Assignment
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Accused Products
Abstract
A method for trouble managing in equipment is provided, with which optimal timing of repairing the equipment and occurrence of malfunction probable to occur concurrently with present malfunction or later stage can be inferred with sufficient accuracy, and which can be adopted for large-scale equipment used in a plant. The method for trouble managing of equipment by monitoring operation condition of the equipment with a monitoring means and inferring cause of malfunction of the equipment by an inference means which infers the cause of the malfunction using measured data concerning the operation condition obtained by the monitoring means when malfunctions occur as nodes of the inference means, comprises selecting acoustic data most similar to sound emitted from the equipment in which malfunction has occurred from among a plurality of acoustic data provide beforehand, selecting morphologic data most similar to a pattern of operating condition in the equipment from among a plurality of morphologic data provide beforehand, adding the selected acoustic data and the selected morphologic data to the nodes, and performing inference of cause of the malfunction of the equipment by a first Bayesian network base on the nodes.
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Citations
5 Claims
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1. A system for trouble managing of equipment used in a plant, the system comprising:
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a monitoring device for monitoring an operating condition of the equipment; a memory device for storing data concerning the operating condition, and the memory device in which a plurality of acoustic data corresponding to abnormal noises of the equipment and a plurality of morphologic data corresponding to moving images of combustion condition of the equipment being previously stored; a first outputting device for outputting the plurality of acoustic data; a first selecting device for selecting desired acoustic data from the outputted acoustic data of the first outputting device; a second outputting device for output the plurality of morphologic data; a second selecting device for selecting desired morphologic data from the outputted morphologic data of the second outputting device; an inferring device for, when an abnormal signal is detected by the monitoring device, receiving the stored data corresponding to the abnormal signal from the memory device, adding to the node each of the desired acoustic data selected by the first selecting device and the desired morphologic data selected by the second selecting device, and performing inference of cause of the malfunction of the equipment by a first Bayesian network based on the nodes. - View Dependent Claims (2, 3, 4, 5)
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Specification