Dataset Transformation Tool: '*.npy' to '*.mat' (Python version)

Description:

This repository hosts Python scripts designed for the conversion of 3D '*.npy' files to the '. Mat' format. These scripts are an integral part of our research on fault diagnosis of inter-shaft aircraft bearings [1], published at MDPI Machines. The transformation from '*.npy' to '*.mat' is essential for users who wish to reproduce our study, as our analysis and algorithms are implemented in MATLAB (link).

Instructions:

1. Dataset Retrieval: To access the dataset used in our study, kindly follow the request process outlined by the authors of reference [8] in our paper [1].

2. Transforming Variables: Utilize the provided Python scripts to seamlessly convert 3D '*.npy' files to the '.mat' format. This conversion is a prerequisite for executing our fault diagnosis codes, which are implemented in MATLAB.

3. Usage: Once the dataset is acquired and the variables are transformed, users can employ the MATLAB codes available in our main repository to reproduce the fault diagnosis study.

Feel free to explore and leverage these Python scripts to enhance your understanding of our research. 

[1] Berghout, Tarek, Toufik Bentrcia, Wei Hong Lim, and Mohamed Benbouzid. 2023. "A Neural Network Weights Initialization Approach for Diagnosing Real Aircraft Engine Inter-Shaft Bearing Faults" Machines 11, no. 12: 1089. https://doi.org/10.3390/machines11121089