Don't stop the operation of the steel mill with LINDA! Diagnose the insulation deterioration of high-voltage cables.
In the steel industry, stable operation of equipment is essential, and operational shutdowns can lead to significant losses. The deterioration of insulation in high-voltage cables is one of the main causes of unexpected power outages, which hinder continuous operations. LINDA measures the insulation condition of high-voltage cables while they are live, allowing for early detection of signs of deterioration, enabling planned maintenance, and reducing the risk of operational shutdowns. 【Usage Scenarios】 - High-voltage distribution lines in steel mills - Regular inspections of equipment - Prevention of unexpected accidents 【Benefits of Implementation】 - Reduced risk of operational shutdowns through planned maintenance - Extended equipment lifespan - Cost reduction
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【Features】 - Portable type, allowing customers to choose the timing of diagnosis - Generates various reports (insulation resistance trend graphs, daily, weekly, monthly reports) - Capable of measuring up to 90 lines with a single LINDA measuring device - Can measure sheath insulation resistance up to 0.1 MΩ 【Our Strengths】 Asahi Kasei Engineering Corporation provides consistent engineering support from design and construction to maintenance, offering total support for our customers' facilities. Through the development of diagnostic equipment utilizing digital technology, we contribute to the continuity of our customers' operations. LINDA is a jointly developed product with Midori Safety and Fujikura Diamond Cable. It has a history of over 30 years since its launch and has numerous installation records for purposes including the extension of statutory inspection cycles.
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Asahi Kasei Engineering Corporation is a company that conducts design, procurement, and construction (EPC) with an eye toward maintenance, and also proposes appropriate maintenance based on design data. In addition to maintenance, it is also possible to propose information systems that consider production efficiency and production losses. In terms of maintenance, we are developing equipment diagnostic devices that utilize digital technology.
