In the field of quality assurance, the accuracy of measurement data is the foundation of effective decision-making. The equipment used to gather this data must be routinely and precisely calibrated to ensure its accuracy and reliability. Developing and documenting comprehensive calibration procedures has been a complex and time-consuming task. But artificial intelligence (AI) technologies can significantly streamline the process. This article explores how ChatGPT, an advanced AI language model, can be used to write detailed calibration procedures for various test and measurement equipment.
Calibration is a comparison between measurements – one of a known magnitude or correctness made with one device, and another measurement made in as similar a way as possible with a second device. The second device, referred to as the unit under test (UUT), is the one undergoing calibration. This comparison provides a traceable link to ensure that measurements from the UUT are consistent with other measurements within the specified process’s parameters.