
Jia Yi (George) Zheng
George Zheng
GeorgeĀ is our expert when it comes to data analysis and processing. He holds a PhD in Mechanical Engineering and has over 20 years of experience working with automotive dynamic Systems, data analysis, editing and reduction, durability life and fatigue damage analysis.

Data Analysis
Perhaps the most important aspect of durability testing is the determination of the proper conditions for testing. For the most part, durability related testing is typically considered a time compressed simulation of a lifetime of real world usage. In many cases, actual data either in the form of strain or acceleration is recorded over a number of real world events. A number of steps are typically used to go from the field to the lab. These steps include:
- Verify that no errors or instrumentation issues are evident in the data set and filter data as necessary.
- The data is then analyzed, and non-damaging segments of the data are removed.
- Analysis is done to determine sequence playback which captures a high content (95% +) of the damaging content, while reducing substantially the in-lab test duration.
- The sequence payback is established for the in-lab simulation.
MGA’s engineers have years of experience with collecting data, defining playback sequences, and conducting many types of in-lab simulation tests