It is thought that we can let knowledge of "Human" substitute by building a function to utilize predictive information, and to extract a similar example from these documents in AI. In this way, we can largely reduce a burden on "Human" by building past accidents as a database, and being resemblance or equivalence, and extracting a cormorant from that. But we may list it by expression varying among document creators even if it is the same company. When we performed a document search with disregard to such a ...
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Examination of a method to search past similar cases registered in NUCIA from predictive information detected by SIAT

System Invariant Analysis Technology, SIAT can detect abnormal behavior of plant parameters. However, the cause analysis functionality for the abnormal behavior has been strongly desired to support engineers making decisions for taking appropriate actions. For that purpose, we have developed the cause analysis functionality based on the result of the broken invariant analysis. Database of the broken invariant distribution with that cause is prepared and the similarity with the current abnormal behavior of t...
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Development of the cause analysis functionality for the abnormal behavior detected by SIAT

A place to depend on an experienced of the knowledge of operation engineer and the maintenance engineer so-called experienced engineer about plant administration is big and, in us, will entrust it to "Human" from a process of the phenomenon identification to the last judgment of the result. Because a human resource is limited, we cannot depend on "Human" for all the judgments. Therefore, about keeping a function to substitute in [Human = experienced person] in AI namely SIAT and other AI system namely IBM W...
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Advance of plant monitoring technology by cooperation of an system invariant analysis technology (SIAT) and IBM Watson Explorer

We applied NEC SIAT engine in cooperation with an NEC stock and developed the system which detected the abnormality of the plant early. This system was able to demonstrate that I could detect abnormality early by the inspection of conventional actual machine data. However, I depended on the experienced engineer about the details of the phenomenon, the cause. I applied Watson of IBM this time and developed a technique to study to the details of the phenomenon, a cause by letting you cooperate with an omen sy...
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Times New Advancement of the plant monitoring technology by the cooperation of omen monitoring system (SIAT) and Watson

In order to investigate a method for efficiently monitoring multiple machines in a building with an acoustic sensor, an experiment was performed to acquire acoustic data of three rotating machines running simultaneously in a state in which all three machines are normal or one of three is abnormal, with two microphones placed at different positions. The abnormality can be detected from the acoustic signal level, and it can also be specified that the bearing abnormality has occurred by frequency analysis. A m...
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Study of efficient condition monitoring method by acoustic diagnosis