What is captured in a Change-of-value (COV) sampling method?

The Change-of-Value (COV) sampling method is designed to capture data selectively when there is a significant change from the last recorded value. This method focuses on monitoring and recording only the instances when a value exceeds a predetermined threshold of change. By doing so, it allows for efficient data management without the burden of processing every bit of information continuously or at fixed intervals.

This selective approach is particularly useful in scenarios where continuous monitoring may produce excessive data or noise, making it easier to identify and analyze meaningful variations in the data. In contrast, the other options presented do not align with the COV method; they either suggest constant or fixed interval data capture, which is not the intent of this approach. Thus, recognizing that COV captures significant deviations helps in understanding its application and usefulness in various monitoring systems.