Soft sensors rely on what to estimate values?

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Multiple Choice

Soft sensors rely on what to estimate values?

Explanation:
Soft sensors estimate values that are hard to measure directly by combining a model with available measurements. The approach uses a model—data-driven, physics-based, or a blend—that captures how the target variable relates to signals from sensors and other known quantities. By feeding the model with real measurements and possibly other process data, it outputs an estimate of the desired value. This relies on the relationship encoded in the model, not just raw data alone, nor on user input, nor on fixed constants that don’t capture dynamics. For example, a soft sensor might estimate chemical concentration from temperature, flow, and pressure using a learned or physical model of the process.

Soft sensors estimate values that are hard to measure directly by combining a model with available measurements. The approach uses a model—data-driven, physics-based, or a blend—that captures how the target variable relates to signals from sensors and other known quantities. By feeding the model with real measurements and possibly other process data, it outputs an estimate of the desired value. This relies on the relationship encoded in the model, not just raw data alone, nor on user input, nor on fixed constants that don’t capture dynamics. For example, a soft sensor might estimate chemical concentration from temperature, flow, and pressure using a learned or physical model of the process.

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