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Sensor set expansion for modal vibration testing

机译：传感器组扩展，用于模态振动测试

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摘要

Pretest planning is crucial to successful modal vibration testing. Sensor placement is one of the more important tasks performed during the pretest exercise. The accelerometers must be distributed such that all of the required dynamic information is obtained during the course of the vibration test. A new method for triaxial sensor set selection based on maximizing the determinant of the target mode information matrix is presented. Maximizing the determinant maximizes a combination of target mode signal strength and linear independence critical to both test-analysis correlation and modal identification. The method iteratively expands an initial set of sensors instead of iteratively reducing a large candidate set. In many cases, the candidate sensor set can have thousands of sensor locations. This change in approach can result in a dramatic reduction in the required computational effort. In addition, the new method allows a test engineer to specify a set of locations that they absolutely want to have in the final sensor configuration, and then optimally expand the initial set to the desired number of sensors. The initial sensor set can be as small as one triax. The work presented focuses on the selection of triaxial accelerometers as single units at nodes, bul the method can be generalized to the selection of any number of sensors at each iteration.
机译：预测试计划对于成功的模态振动测试至关重要。传感器放置是在预测试练习中执行的更重要的任务之一。必须分配加速度计，以便在振动测试过程中获得所有所需的动态信息。提出了一种基于最大化目标模式信息矩阵行列式的三轴传感器集选择方法。行列式最大化使目标模式信号强度和线性独立性的组合最大化，这对于测试分析相关性和模式识别都是至关重要的。该方法迭代地扩展了传感器的初始集合，而不是迭代地缩减了大的候选集合。在许多情况下，候选传感器集可以具有数千个传感器位置。这种方法上的改变可以大大减少所需的计算工作量。另外，新方法允许测试工程师指定最终传感器配置中他们绝对希望拥有的一组位置，然后将初始组最佳扩展到所需数量的传感器。初始传感器组可以小到一个三轴。提出的工作着重于选择三轴加速度计作为节点上的单个单元，但是该方法可以推广到每次迭代中选择任意数量的传感器。

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