Data for: A New Intelligent Fault Identification Method Based on Transfer Locality Preserving Projection for Actual Diagnosis Scenario of Rotating Machinery
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(1) The data file contains the MATLAB codes and feature data used to implement the results in "A New Intelligent Fault Identification Method Based on Transfer Locality Preserving Projection for Actual Diagnosis Scenario of Rotating Machinery". (2) Only feature data are given. The original data are provided by the following references: [1] PHM 09 Data Challenge Data. https://www.phmsociety.org/competition/PHM/09/apparatus. [2] CWRU bearing data center. http://csegroups.case.edu/bearingdatacenter/pages/12k-drive-end-bearing-fault-data [3] Eric Bechhoefer, MFPT Bearing Fault Data Sets. http://mfpt.org/fault-data-sets/. (3) The toolbox used in the codes are listed below: [1] libsvm_3.22. https://www.csie.ntu.edu.tw/~cjlin/libsvm/ [2] DeepLearnToolbox-master. https://github.com/rasmusbergpalm/DeepLearnToolbox [3] minFunc_2012. https://www.cs.ubc.ca/~schmidtm/Software/minFunc.html (4) The supported platform should have a Windows system, meanwhile the MATLAB version should be R2017b or later version (R2018a is also tested).
(1) 本数据集文件包含用于复现《面向旋转机械实际诊断场景的基于迁移保局投影（Transfer Locality Preserving Projection）的新型智能故障识别方法》（A New Intelligent Fault Identification Method Based on Transfer Locality Preserving Projection for Actual Diagnosis Scenario of Rotating Machinery）一文实验结果的MATLAB代码与特征数据。(2) 本数据集仅提供特征数据，原始数据来源如下参考文献：[1] PHM 09数据挑战赛数据集（PHM 09 Data Challenge Data），访问链接：https://www.phmsociety.org/competition/PHM/09/apparatus。[2] 凯斯西储大学（Case Western Reserve University，简称CWRU）轴承数据中心，访问链接：http://csegroups.case.edu/bearingdatacenter/pages/12k-drive-end-bearing-fault-data。[3] Eric Bechhoefer的MFPT轴承故障数据集（MFPT Bearing Fault Data Sets），访问链接：http://mfpt.org/fault-data-sets/。(3) 代码中使用的工具箱如下：[1] libsvm_3.22，官方链接：https://www.csie.ntu.edu.tw/~cjlin/libsvm/。[2] DeepLearnToolbox-master，GitHub仓库链接：https://github.com/rasmusbergpalm/DeepLearnToolbox。[3] minFunc_2012，官方链接：https://www.cs.ubc.ca/~schmidtm/Software/minFunc.html。(4) 该数据集的运行环境需为Windows系统，且MATLAB版本需为R2017b及以上，已针对R2018a版本完成兼容性测试。
