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MATLAB Codes for: A Neural Network Weights Initialization Approach for Diagnosing Real Aircraft Engine Inter-Shaft Bearing Faults

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Mendeley Data2024-05-10 更新2024-06-27 收录
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Description: This repository contains the MATLAB codes used in our paper [1] on fault diagnosis of inter-shaft aircraft bearings, published by MDPI Machines. The codes encompass all the necessary materials to reproduce the findings outlined in the paper. Dataset Access: The dataset utilized in this study is available under request from the authors of reference [8] in our paper. To obtain the dataset, please follow the instructions provided by the respective authors. Data Format: The dataset is saved in '*.npy' 3D variable format. To reproduce this study, it is necessary to transform these variables to '.mat' format since the codes are implemented in MATLAB. You can find the codes for transferring the 3D '*.npy' files to '*.mat' files here [here] We appreciate your interest in our work. [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

数据集描述:本仓库收录了我们发表于MDPI旗下期刊《Machines》的论文[1]中,用于航空发动机轴间轴承故障诊断的MATLAB(Matrix Laboratory)代码,涵盖复现论文所述研究成果所需的全部必要素材。 数据集获取:本研究使用的数据集需向论文参考文献[8]的作者申请获取。如需获取该数据集,请遵循对应作者提供的相关指引。 数据格式:该数据集以三维变量格式的`*.npy`文件存储。由于本研究代码基于MATLAB实现,因此需将这些变量转换为`*.mat`格式方可完成研究复现。可在此处[here]获取将三维`*.npy`文件转换为`*.mat`文件的转换代码。 感谢您对我们工作的关注。 [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

创建时间:
2023-11-25
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