The source code is for the following paper which has been published on IEEE SPL.

Hui Yu, Kai Wang, Yan Li, Multi-scale Representations Fusion with Joint Multiple Reconstructions Autoencoder for Intelligent Fault Diagnosis, IEEE Signal Processing Letters, 2018, 25(12):1880-1884.

If you find this paper is useful, please cite our paper in your research work. Thanks.

If there are any questions about source code, please do not hesitate to contact Hui Yu (hui_yu_1130@163.com) or me (kai.wang@scu.edu.cn).

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Running Environment: Windows 7, Matlab R2014b

Source data:

1. Case Western Reserve University(CWRU): http://csegroups.case.edu/bearingdatacenter/pages/download-data-file.
2. Machinery Failure Prevention Technology(MFPT): https://mfpt.org/fault-data-sets/

Source code: Reproduce the experimental results on CWRU dataset:

1. Your can download the the source CWRU dataset from
   http://csegroups.case.edu/bearingdatacenter/pages/download-data-file
   In our experiments, the used CWRU data are also saved as the Matlab file "Sample_multi_array.mat", which are shared at Baidu Netdisk: https://pan.baidu.com/s/1Lo7PUV_AETrrMqhHNmr7zA, due to the capacity limitation of Github.
   You can freely download this data file.
2. Run the following .m files in the file "Run" to reproduce the reported results.
   -- Multiscale_50_75_100_125_150_TrainPer01_JMRAE.m
   -- Multiscale_50_75_100_125_150_TrainPer10_JMRAE.m
   -- Multiscale_50_75_100_125_150_TrainPer10_JMRAE_wd.m
   -- Multiscale_50_75_100_125_150_TrainPer10_RELU.m
   -- Multiscale_50_75_100_125_150_TrainPer10_Sigmoid.m
   
3. The file "Experimental_Results" includes the experimental results of our paper.

Reproduce the experimental results for MFPT dataset:

1. Download the MFPT dataset from
   https://mfpt.org/fault-data-sets/ In our experiments, the used MFPT data are saved to the file "MFPT.mat", which incudes the training and test sets.
2. Run the following .m files in the file "Run" to reproduce the reported results.
   -- Multiscale_50_75_100_TrainPer10_JMRAE.m
   -- Multiscale_50_75_100_TrainPer10_JMRAE_wd.m
   -- Multiscale_50_75_100_125_150_TrainPer10_JMRAE_wd.m
   -- Multiscale_50_75_100_TrainPer10_RELU.m
   -- Multiscale_50_75_100_TrainPer10_Sigmoid.m
   
3. The file "Experimental_Results" includes the experimental results of our paper.