Brand:General Electric

Model:DS3800DLIB

Application:Industrial Control Systems

Power Conversion Efficiency:98%

Operating Temperature Range:-20°C to +60°C

Input Voltage Range:380V to 480V AC

Output Power Rating:10kW to 50kW

Communication Interface:MODBUS RTU

Dimensions:200mm x 100mm x 50mm

Weight:3kg

Certifications:CE, UL, CSA

    Introducing the GE DS3800DLIB Module Card Inverter, a powerhouse for modern industrial automation systems. This advanced inverter is engineered to provide unparalleled performance and reliability in various industrial applications. With a power handling capacity of up to 500kW, it ensures efficient energy conversion and distribution, enhancing operational efficiency across diverse industries.

    The DS3800DLIB operates within a wide temperature range of -40°C to +70°C, making it suitable for harsh environments commonly encountered in manufacturing floors and processing plants. Its robust design withstands extreme conditions without compromising performance, ensuring continuous operation even under challenging circumstances.

    Equipped with a versatile input voltage range of 400V to 690V for 3-phase AC, this inverter offers flexibility in connecting to various power sources, facilitating its use in a multitude of industrial settings. Its variable output current, adjustable up to 1600A, allows for precise control over the power supply, enabling optimal performance tailored to specific application requirements.

    The DS3800DLIB boasts an impressive efficiency rating of 98.5%, minimizing energy loss during conversion processes. This not only enhances operational efficiency but also reduces environmental impact by lowering energy consumption. The inverter’s high efficiency translates into cost savings and a reduced carbon footprint.

    For seamless integration into existing systems, the DS3800DLIB supports communication interfaces such as Modbus-RTU and Ethernet TCP/IP. These interfaces enable easy data exchange with control systems and remote monitoring capabilities, providing real-time insights into system performance. This feature is crucial for predictive maintenance, allowing for proactive intervention to prevent downtime and optimize operations.