At Azertech, we’re all about making high-voltage systems smarter and more reliable because stability and performance aren’t optional. We don’t just chase efficiency for financial gain; we focus on creating systems that perform better, last longer, and can spot issues before they arise. In industries like power generation, petrochemicals, and distribution networks, even minor disruptions can have massive impacts.
Our job is to minimize power outage risks and ensure infrastructures operate smoothly with confidence and planning.
Detecting insulation defects early can prevent serious failures from happening.
Identifying the type of partial discharge, whether internal, surface, or corona, plays a significant role in determining the appropriate maintenance and repair methods.
Monitoring partial discharge patterns helps lower costs and reduces the risk of power outages.
In the intricate field of power systems, finding a dependable technical partner is crucial. AzerTech combines local expertise with cutting-edge global technologies, focusing on precision in partial discharge monitoring to deliver accurate, efficient, and cost-effective solutions. Beyond just selling equipment, we provide technical support, ongoing training, and customizable products, making us a trusted ally for the electricity industry and power plants. Choosing AzerTech means choosing trust, expertise, and a commitment to a sustainable future.
At Azartec, we provide cutting-edge partial discharge monitoring and measurement tools designed with advanced technology to detect insulation failures in high-voltage equipment early on. Our highly accurate, well-engineered, and customizable products cater to the requirements of the power industry, power plants, and research centers.
AzerTech is involved in both production and research, as well as educational activities. Stay updated with our latest news and events through the links provided below.
روش‌های نوین در پایش تخلیه جزئی: تلفیق تحلیل زمانی-فرکانسی و الگوریتم‌های آماری مطالعه حاضر چهارچوبی برای ادغام تکنیک‌های کلاسیک (نمودارهای فاز-بار) با روش‌های مدرن (پردازش سیگنال غیرخطی و یادگیری ماشین) را با تمرکز بر کالیبراسیون سیستم‌های اندازه‌گیری PD کاهش نویز با فیلترهای تطبیقی طبقه‌بندی خودکار نقص‌ها ارائه می‌دهد.
Read morePartial Discharge, PD Measurement, q(u) plot, q(t) plot, HFCT, Oscilloscope, Statistical Fingerprint, 3CFRD are all caught up in this article as a starter package.
Read moreدر این مقاله به بررسی و مقایسه کامل روش‌های اندازه‌گیری تخلیه جزئی (PD) با استفاده از امپدانس Zm و ترانسفورماتور جریان فرکانس بالا (HFCT) پرداخته‌ایم. نکاتی مانند طراحی فیلتر، مدیریت بهینه نویز و انتخاب بهترین پیکربندی با تمرکز بر بهینه بودن عملکرد آمده است.
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