"Among the core elements of power facilities, the most widely used mold transformers are monitored and analyzed online at all times, and failure signs are diagnosed through composite deterioration to predict them in advance and prevent power outages.
○ Application of various diagnostic sensor technologies.
(UHF band UHF sensor, HF band HFCT sensor, wide-angle IR thermal imaging camera)
○ Application of mold transformer analysis algorithm and LCD display to enable immediate on-site diagnosis.
○ Automatic transmission of faulty location data to upper SCADA. 1. Development and application of various diagnostic sensors for early prediction of abnormal deterioration of mold transformers and improvement of reliability of fault detection. → Diagnostic sensors: UHF sensor, HFCT sensor, IR thermal imaging sensor application. 2. Constant checking of deterioration status of mold transformers through LCD screen on site and diagnosis through remote monitoring maximizes convenience of mold transformer management. 3. Additional data according to numerous power systems and usage environments on site are also being accumulated, so product stability is improved through product Up-Grade that is appropriate for the right place.
OPM200 → OPM300 → OPM400 Upgrade. 4. Development of optimal application of diagnosis and sensors by applying thermal imaging camera with field of view that can diagnose 3 phases at once in a narrow space of low-voltage part of mold transformer."