Uploaded August 2026 | Updated September 2026, 2 weeks ago

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A prime example is estimating the temperature inside a rotor under real driving conditions, a task that is difficult to measure directly and often comes with deviations of up to ±15 °C using conventional methods.

By feeding our AI models with rich datasets from component tests and vehicle trials, such as oil temperature and rotor speed, we uncover meaningful relationships that were previously hidden.

The result: smarter simulations, higher accuracy, and a more efficient development process powered by AI.

ℹ️ More Information: zf.com/mobile/en/technologies/artificial_intelligence/stories/virtual_sensor.html

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