Burst Random Amplitude Ramp : 0.4V

This is a zip file that contains 10 repetitions for burst random (multiple white noise) excitation at 0.4V LMS output voltage. This test is performed on the starboard wing of the BAE T1A Hawk housed at the Labratory for Verification and Validation (lvv.ac.uk). The wing is excited using a single shaker and data is recorded using 55 uni-accelerometers and the excitation load cell. The significance of the naming conventions is explained in the "ORDA_Readme.pdf" file. This file also contains the code needed to load the file into python for analysis called "hdf5_loader.py". This contains a function called load_hdf5 that takes the path of the hdf5 file and loads it into a single dictionary. The dictionary is separated into "Meta" for the testing parameters and the sensor names to identify the sensor of interest. For the sensor names, the naming convention is described in the readme file along with what types of data are included and the citation reference. The uploaded *.zip file contains all the repetitions for the testing parameters (nominally 10 repetitions). This test was performed under the Alan Turing Institute funded project <em>Digital Twins for High-Value Engineering Systems (DTHIVE)</em> with continuing support from the EPSRC funded project <em>Digital Twins for Improved Dynamic Design (DigiTwin)</em>. For more information, please contact the PI, Professor David Wagg.

本压缩包包含10组重复试验数据，对应0.4V LMS输出电压下的突发随机（多重白噪声）激励工况。本试验在存放于验证与确认实验室（Laboratory for Verification and Validation，lvv.ac.uk）的BAE T1A鹰式教练机右机翼上开展。该机翼采用单台电动振动台施加激励，并通过55个单轴加速度计及激励测力传感器采集试验数据。命名规范的详细说明详见"ORDA_Readme.pdf"文件，该文件同时附带用于将数据导入Python开展分析的代码文件"hdf5_loader.py"。该代码包含一个名为load_hdf5的函数，传入HDF5（Hierarchical Data Format 5）文件路径后，可将数据加载至单个字典对象中。该字典分为"Meta"模块与传感器名称索引两部分：前者存储试验参数，后者用于识别目标传感器。传感器名称的命名规范、包含的数据类型及引用参考文献均在该自述文件中予以说明。本次上传的压缩包包含该试验工况下的全部重复试验数据（共10组）。本试验由艾伦·图灵研究所（Alan Turing Institute）资助的"高价值工程系统数字孪生（Digital Twins for High-Value Engineering Systems，DTHIVE）"项目支持，并获得英国工程与自然科学研究委员会（Engineering and Physical Sciences Research Council，EPSRC）资助的"面向动态设计优化的数字孪生（Digital Twins for Improved Dynamic Design，DigiTwin）"项目的持续援助。如需获取更多信息，请联系项目负责人（Principal Investigator）David Wagg教授。