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:资源有效、稳健可靠、高效全面的验证复杂测量系统方法是一个未解决的问题。本文提出了一种基于高斯过程(GP)模型的通用、稳健、可信、高效和全面的验证方法,可以实现系统无关性,避免固定的已知验证基准的标准化,同时支持大型配置空间。该方法包括三个步骤,可以由不同的方面独立地执行:1)GP模型创建,2)模型确认和3)基于模型的故障关键搜索。该方法已应用于两个采用不同测量方法并遵循两个独立标准的系统,即针对无线电发射设备的合规性测试的IEC 62209-1528标准的扫描系统和IEC 62209-3标准的阵列系统。结果表明,该方法验证测量系统是实用而可行的。它将工作量最小化,以便任何测试实验室或其他用户可以定期执行,并构成建立两个测量设备类的有效等价性的实用方法。