| Parameter | Value (Typical) | |-----------|-----------------| | | 3 kV – 5 kV (3‑phase) | | Output Voltage | 2 kV – 4 kV (configurable) | | Rated Power | 1 MW (single unit) – expandable to 5 MW | | Frequency | 50/60 Hz (auto‑sensing) | | Efficiency | 97 % (continuous) | | Power Factor | 0.99 (adjustable) | | Harmonic Distortion | THD ≤ 2 % (up to 5 kHz) | | Cooling | Forced‑air + optional liquid‑cool loop | | Enclosure Rating | NEMA 4X / IP66 (indoor) | | Operating Temp. Range | –20 °C to +55 °C | | Dimensions (H × W × D) | 0.8 m × 0.6 m × 1.6 m | | Weight | 2 200 kg (dry) | | Compliance | IEC 61850, IEC 61800‑5‑1, UL 1741, CE, ISO 9001, ISO 14001 | | Warranty | 5 years (extendable to 10 years) |
In the context of deep learning and computer vision, deep features are representations of data (like images) that are learned by deep neural networks. These features can be used for various tasks such as classification, object detection, and image segmentation. midv-503
Vascular stenting is a minimally invasive procedure used to treat stenotic or narrow blood vessels caused by atherosclerotic plaque buildup, trauma, or other conditions. The primary goal of stenting is to restore proper blood flow to the affected area, reducing the risk of ischemia, organ damage, and potentially life-threatening complications. Conventional stents have been widely used for decades, but their limitations, such as restenosis, thrombosis, and lack of adaptability to individual patient anatomy, have led to the development of newer-generation stents like the Midv-503. Vascular stenting is a minimally invasive procedure used