Plant Diagnosis Device And Plant Diagnosis Method

Abstract

When an abnormality is detected, a decision about whether or not the abnormality should be dealt with is made based onon the basis of experiences in operating a plant. However, it is preferable to make the decision on the basis ofbased on a risk (expected loss amount) that would occur when if the abnormality iswere to be left as is. In order to achieve this, the present invention is a plant diagnosis device equipped with multiple diagnosis means for diagnosing an abnormality state of the plant, and characterized by being equipped with a comprehensive diagnosis means that, upon determining degrees of accuracy in detecting the abnormal states with respect to each of the multiple diagnosis means on the basis of measurement signal data pertaining to plant states and facility management information data pertaining to past abnormal states, evaluates expected loss amounts on the basis of the degrees of accuracy and loss amounts associated with the abnormal states.

Description

technical field

[0001] The present invention relates to a plant equipment diagnosis device and a plant equipment diagnosis method for diagnosing an abnormal state of plant equipment. Background technique

[0002] When an abnormal transient phenomenon or an accident occurs in the factory equipment, the factory equipment diagnosis device detects the occurrence of the abnormality or the accident based on the measurement data from the factory equipment.

[0003] Patent Document 1 discloses a diagnostic device applying Adaptive Resonance Theory (ART), which is one of clustering techniques. Here, the so-called ART is a theory for classifying multidimensional data into different categories according to their similarities.

[0004] In the technique described above, first, the measurement data at normal times are classified into a plurality of categories (normal categories) by ART. Then, the current measurement data is fed into ART and sorted into different categories. When the me...

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