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Surveillance enhancement application based on improving the detection sensitivity of potential abnormalities
Extranet Systems Co., Ltd.


About This Product

We support the construction of a low -carbon production system.

■ Detection of potential abnormalities, state prediction, factor estimation, environmental impact reduction, operation optimization (supported for SDGS Goal 9.4)

1. Strategic operation of plant 2. Strengthening the competitiveness of production lines 3. Reduction of resources and environmental impact 4. Structuring DX/downstream information

■ Both production efficiency and environmental efficiency are possible, and direct/indirect CO2 emission/energy loss/Introduction is possible to optimize the overall operation considering the current fee

Problem of conventional technology: Insufficient implementation functions of abnormal detection and factors

■ Proactive (cause removal type) operation is possible

・ Operation of applications using the correlation extraction method → ​​early detection more than potential ・ Application of unique bandwidth extraction application → Automatic estimation of deterioration factors

■ To optimize the operation of rotating machinery and plant

・ Equipment extension of equipment such as bearing and optimization of renewal time ・ Avoid sudden failure (case; vertical axis pump inhalation part, damage detection, etc.)

■ Improve the detection sensitivity of potential abnormalities

・ Optimization of identification by [difference in characteristics] instead of data strength ・ Learn the high -sensitive learning function of humans (correlation in input data is remembered by the weight of synaptes) ⇔ without abnormal data, learn various characteristics in normal times

■ Factors estimation by unique causal analysis

At the same time as detection of potential abnormalities, extract variables related to abnormalities

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    Surveillance enhancement application based on improving the detection sensitivity of potential abnormalities

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Surveillance enhancement application based on correlation extraction method

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