PREDICTIVE METHODOLOGY TO IDENTIFY POTENTIAL UNKNOWN SWEET SPOTS

• Main Authors: JUSZCZYK STEPHEN, TOREY STEVEN, SADRI HOSSEIN JACOB, MARSAC LANCE DAVID, SALAME SUEHA ELMIR
• Format: Patent
• Language: Chinese; English
• Published: 06.08.2021
• Subjects: MEASURING; PHYSICS; TESTING; TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR

To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system. 本公开提供了"识别潜在未知的甜蜜点的预测方法"。为了识别复杂系统内的标准属性(即，变量)的甜蜜点，生成具有所述系统的每个变体的所述标准属性的客观可接受值或值范围的数据源。用于对所述复杂系统进行分析以识别所述甜蜜点的识别系统从