**Brand/Product:** BEGE is a renowned manufacturer specializing in high-quality automation components, with a strong reputation for reliability and innovation in drive technology. The MIG Nova+ is part of their advanced encoder range, tailored for demanding industrial and engineering environments.

**Encoder Type:** Incremental encoder designed for high-resolution and improved signal stability, ideal for accurate speed and position feedback in sophisticated automated systems.

**High Resolution:** Provides 128 pulses per channel, enabling precise control and monitoring for automation processes where minute adjustments and smooth regulation are crucial.

**Signal Quality:** Enhanced signal stability ensures reliable data transmission even in environments with electrical noise, supporting accuracy in high-speed applications.

**Output Options:** Offers HTL/TTL output with dual-channel A90°B / A'90°B', suitable for versatile signal integration in various controller platforms.

**Robust Construction:** Manufactured from anodized aluminium, offering excellent durability, corrosion resistance, and suitability for harsh industrial conditions.

**Ingress Protection:** Rated IP55 / IP67, the encoder is protected against dust, water jets, and temporary immersion, making it ideal for use in demanding and washdown environments.

**Large Cable Length:** With a 50-meter cable, installation flexibility is greatly increased, simplifying integration into complex machinery and large-scale production lines.

**Precision Engineering:** Features a flange diameter of Ø90mm, shaft diameter 11mm, and thickness of 7mm, compatible with IEC 63B14 motors for seamless retrofitting and new installations.

**Application Flexibility:** Ideal for precise speed regulation and positioning in automated conveyors, packaging machinery, robotics, and advanced motion control systems.

**Suitable for:** Industrial automation, material handling, factory automation, and any environment where dependable, high-resolution incremental feedback is essential for process optimization.