The existing LED reliability assessment procedures are costly and time-consuming. It poses even greater challenges for the purchasers to validate the manufacturer test results, prior to goods acceptance. In absence of a simple and expedient validation, purchasers often bear the reliability risk in good faith. Leveraging on the 3-stage early degradation modes, as a signature, for LED under the moisture-electrical-temperature (MET) test, an expedient assessment framework is proposed to validate if the supplied LED batches conform to the contracted reliability. Multi-output Gaussian process regression (MOGPR) is performed on sparse reference data to establish an acceptable threshold for the degradation signature. When regressed against the reference data with contracted reliability, the test LED that displays signature anomaly will be deliberated for rejection. The acceptable threshold is calibrated to minimise false negative rate and false positive rate. The procedure is repeated in accordance with acceptable quality level (AQL) or existing sampling policies to accept or reject the batch. The framework achieves a reduction of the validation time from 6000 h to 100 h. While the initial motivation is to facilitate acceptance by purchasers, manufacturer may also adopt this approach for out-going quality control (QC) or rapid evaluation during design prototyping.

现有的 LED 可靠性评估程序既昂贵又耗时。在商品验收之前验证制造商的测试结果对购买者提出了更大的挑战。在没有简单而方便的验证的情况下，购买者通常会真诚地承担可靠性风险。利用 3 阶段早期劣化模式，作为 LED 在湿度-电气-温度 (MET) 测试下的标志，提出了一个权宜评估框架来验证供应的 LED 批次是否符合合同规定的可靠性。对稀疏参考数据执行多输出高斯过程回归 (MOGPR)，以建立可接受的退化特征阈值。当针对具有合同可靠性的参考数据进行回归时，显示签名异常的测试 LED 将被考虑拒绝。校准可接受的阈值以最小化假阴性率和假阳性率。根据可接受的质量水平 (AQL) 或现有的抽样政策重复该程序以接受或拒绝该批次。该框架实现了将验证时间从 6000 小时减少到 100 小时。虽然最初的动机是促进购买者的接受，但制造商也可以在设计原型期间采用这种方法进行质量控制 (QC) 或快速评估。该框架实现了将验证时间从 6000 小时减少到 100 小时。虽然最初的动机是促进购买者的接受，但制造商也可以在设计原型期间采用这种方法进行质量控制 (QC) 或快速评估。该框架实现了将验证时间从 6000 小时减少到 100 小时。虽然最初的动机是促进购买者的接受，但制造商也可以在设计原型期间采用这种方法进行质量控制 (QC) 或快速评估。