A tool to automatic parse and process the acoustic emission signal data. This tool is used together with the AES data analyse to monitor the weakness and cracks points in the blade of windmill.
This software is used to automatic parse and process the acoustic emission signal data. There are five purposes to be achieved. First, the data format is changed for further process. Second, the origin locations of the acoustic signals are figured out. Third, the character of the signal in time and frequency field are obtained. Fourth, the accelaration of blade are recorded. Fifth, the signal should be automaticly and immediately processed and stored in a database when arrived.
Overview of AES workflow
Interface of data process panel
Flow of localization
The list of required python packages is contained in the requirements.txt file in this repository. After install the required dependencies, run main_gui_rcfd_process.py to execute the program.