Hilfskenngrößen

Hilfskenngrößen, often translated as auxiliary or subsidiary parameters, are a set of defined metrics used in certain technical or scientific contexts to simplify or characterize complex systems or phenomena. They are not fundamental physical constants or primary measurements but rather derived values that help in understanding, comparing, or controlling these systems.

The specific nature of Hilfskenngrößen varies greatly depending on the field. In engineering, they might represent performance indicators that are easier to measure or interpret than direct operational variables. For example, a system might have a complex internal state, but a Hilfskenngröße could be a single temperature reading or a vibration level that effectively summarizes its condition. In economics or statistics, they could be indices or ratios that condense a large amount of data into a more manageable form for analysis or forecasting.

The purpose of employing Hilfskenngrößen is often to provide a more intuitive or practical way to interact with or describe a system. They can be crucial for setting thresholds, developing control strategies, or communicating system status to non-experts. However, it is important to understand their limitations, as they are by definition simplifications and may not capture all nuances of the underlying reality. Their definition and use are typically standardized within a specific discipline or by a particular organization.