Resource-efficient and robust validation of complex measurement systems that would require millions of test permutations for comprehensive coverage is an unsolved problem. In the paper, a general, robust, trustworthy, efficient, and comprehensive validation approach based on a Gaussian Process model (GP) of the test system has been developed that can operate system-agnostically, prevents calibration to a fixed set of known validation benchmarks, and supports large configuration spaces. The approach includes three steps that can be performed independently by different parties: 1) GP model creation, 2) model confirmation, and 3) model-based critical search for failures. The new approach has been applied to two systems utilizing different measurement methods for compliance testing of radiofrequency-emitting devices according to two independent standards, i.e., IEC 62209-1528 for scanning systems and IEC 62209-3 for array systems. The results demonstrate that the proposed measurement system validation is practical and feasible. It reduces the effort to a minimum such that it can be routinely performed by any test lab or other user and constitutes a pragmatic approach for establishing validity and effective equivalence of the two measurement device classes.

翻译：对需要数百万测试排列才能实现全面覆盖的复杂测量系统进行资源高效且鲁棒的验证，仍然是一个未解决的问题。本文提出了一种基于测试系统高斯过程模型（GP）的通用、鲁棒、可信、高效且全面的验证方法。该方法可独立于系统运行，避免针对固定已知验证基准进行校准，并支持大规模配置空间。该验证方法包含三个可由不同方独立执行的步骤：1）GP模型构建，2）模型确认，以及3）基于模型的失效关键搜索。该新方法已应用于两个采用不同测量方法的系统——即根据两项独立标准（用于扫描系统的IEC 62209-1528和用于阵列系统的IEC 62209-3）对射频发射设备进行合规性测试的系统。结果表明，所提出的测量系统验证方案实用且可行。该方法将工作降至最低，使其可由任何测试实验室或其他用户常规执行，并为建立两类测量设备有效等同性提供了务实途径。