基于深度学习的故障诊断模型代码和数据

上传者: gxlovelxx | 上传时间: 2020-10-29 09:01:03 | 文件大小: 57.74MB | 文件类型: RAR
基于深度学习的故障诊断模型代码和数据,有数据,有源码,可以直接跑通!
亲测可以直接使用,对深度学习和故障诊断应用有一定的借鉴意义,代码注释全面

文件下载

资源详情

[{"title":"( 63 个子文件 57.74MB ) 基于深度学习的故障诊断模型代码和数据","children":[{"title":"AutofaultDetecting","children":[{"title":"cnn_valid.py <span style='color:#111;'> 3.89KB </span>","children":null,"spread":false},{"title":"cnn_diagnosis.py <span style='color:#111;'> 3.52KB </span>","children":null,"spread":false},{"title":"logs","children":[{"title":"cnn_1D","children":[{"title":"events.out.tfevents.1584966675.DESKTOP-N44ROIE <span style='color:#111;'> 422.99KB </span>","children":null,"spread":false},{"title":"events.out.tfevents.1584966953.DESKTOP-N44ROIE <span style='color:#111;'> 422.99KB </span>","children":null,"spread":false},{"title":"events.out.tfevents.1584966758.DESKTOP-N44ROIE <span style='color:#111;'> 422.99KB </span>","children":null,"spread":false}],"spread":true},{"title":"20200323_logs","children":[{"title":"3-conv-64-filters-1-dense-20200323_2056","children":[{"title":"events.out.tfevents.1584968178.DESKTOP-N44ROIE <span style='color:#111;'> 9.02MB </span>","children":null,"spread":false}],"spread":true},{"title":"1-conv-128-filters-0-dense-20200323_2054","children":[{"title":"events.out.tfevents.1584968049.DESKTOP-N44ROIE <span style='color:#111;'> 3.86MB </span>","children":null,"spread":false}],"spread":true},{"title":"2-conv-32-filters-2-dense-20200323_2057","children":[{"title":"events.out.tfevents.1584968280.DESKTOP-N44ROIE <span style='color:#111;'> 12.04MB </span>","children":null,"spread":false}],"spread":true},{"title":"3-conv-32-filters-0-dense-20200323_2053","children":[{"title":"events.out.tfevents.1584967993.DESKTOP-N44ROIE <span style='color:#111;'> 1.74MB </span>","children":null,"spread":false}],"spread":true},{"title":"3-conv-32-filters-1-dense-20200323_2055","children":[{"title":"events.out.tfevents.1584968128.DESKTOP-N44ROIE <span style='color:#111;'> 7.13MB </span>","children":null,"spread":false}],"spread":true},{"title":"2-conv-128-filters-1-dense-20200323_2056","children":[{"title":"events.out.tfevents.1584968215.DESKTOP-N44ROIE <span style='color:#111;'> 10.07MB </span>","children":null,"spread":false}],"spread":true},{"title":"1-conv-32-filters-2-dense-20200323_2057","children":[{"title":"events.out.tfevents.1584968263.DESKTOP-N44ROIE <span style='color:#111;'> 11.37MB </span>","children":null,"spread":false}],"spread":true},{"title":"3-conv-32-filters-2-dense-20200323_2058","children":[{"title":"events.out.tfevents.1584968300.DESKTOP-N44ROIE <span style='color:#111;'> 12.92MB </span>","children":null,"spread":false}],"spread":true},{"title":"1-conv-64-filters-0-dense-20200323_2053","children":[{"title":"events.out.tfevents.1584968007.DESKTOP-N44ROIE <span style='color:#111;'> 2.11MB </span>","children":null,"spread":false}],"spread":false},{"title":"3-conv-128-filters-1-dense-20200323_2057","children":[{"title":"events.out.tfevents.1584968238.DESKTOP-N44ROIE <span style='color:#111;'> 10.92MB </span>","children":null,"spread":false}],"spread":false},{"title":"2-conv-32-filters-0-dense-20200323_2053","children":[{"title":"events.out.tfevents.1584967981.DESKTOP-N44ROIE <span style='color:#111;'> 973.90KB </span>","children":null,"spread":false}],"spread":false},{"title":"1-conv-32-filters-0-dense-20200323_2041","children":[{"title":"events.out.tfevents.1584967269.DESKTOP-N44ROIE <span style='color:#111;'> 379.31KB </span>","children":null,"spread":false}],"spread":false},{"title":"2-conv-32-filters-1-dense-20200323_2055","children":[{"title":"events.out.tfevents.1584968113.DESKTOP-N44ROIE <span style='color:#111;'> 6.29MB </span>","children":null,"spread":false}],"spread":false},{"title":"1-conv-128-filters-2-dense-20200323_2059","children":[{"title":"events.out.tfevents.1584968384.DESKTOP-N44ROIE <span style='color:#111;'> 15.39MB </span>","children":null,"spread":false}],"spread":false},{"title":"1-conv-64-filters-2-dense-20200323_2058","children":[{"title":"events.out.tfevents.1584968321.DESKTOP-N44ROIE <span style='color:#111;'> 13.38MB </span>","children":null,"spread":false}],"spread":false},{"title":"3-conv-64-filters-0-dense-20200323_2053","children":[{"title":"events.out.tfevents.1584968032.DESKTOP-N44ROIE <span style='color:#111;'> 3.49MB </span>","children":null,"spread":false}],"spread":false},{"title":"1-conv-128-filters-1-dense-20200323_2056","children":[{"title":"events.out.tfevents.1584968198.DESKTOP-N44ROIE <span style='color:#111;'> 9.44MB </span>","children":null,"spread":false}],"spread":false},{"title":"2-conv-64-filters-2-dense-20200323_2058","children":[{"title":"events.out.tfevents.1584968339.DESKTOP-N44ROIE <span style='color:#111;'> 14.05MB </span>","children":null,"spread":false}],"spread":false},{"title":"2-conv-64-filters-0-dense-20200323_2053","children":[{"title":"events.out.tfevents.1584968017.DESKTOP-N44ROIE <span style='color:#111;'> 2.69MB </span>","children":null,"spread":false}],"spread":false},{"title":"1-conv-32-filters-1-dense-20200323_2054","children":[{"title":"events.out.tfevents.1584968100.DESKTOP-N44ROIE <span style='color:#111;'> 5.66MB </span>","children":null,"spread":false}],"spread":false},{"title":"2-conv-64-filters-1-dense-20200323_2055","children":[{"title":"events.out.tfevents.1584968159.DESKTOP-N44ROIE <span style='color:#111;'> 8.18MB </span>","children":null,"spread":false}],"spread":false},{"title":"3-conv-128-filters-0-dense-20200323_2054","children":[{"title":"events.out.tfevents.1584968079.DESKTOP-N44ROIE <span style='color:#111;'> 5.25MB </span>","children":null,"spread":false}],"spread":false},{"title":"2-conv-128-filters-0-dense-20200323_2054","children":[{"title":"events.out.tfevents.1584968060.DESKTOP-N44ROIE <span style='color:#111;'> 4.45MB </span>","children":null,"spread":false}],"spread":false},{"title":"3-conv-64-filters-2-dense-20200323_2059","children":[{"title":"events.out.tfevents.1584968361.DESKTOP-N44ROIE <span style='color:#111;'> 14.93MB </span>","children":null,"spread":false}],"spread":false},{"title":"1-conv-32-filters-0-dense-20200323_2052","children":[{"title":"events.out.tfevents.1584967970.DESKTOP-N44ROIE <span style='color:#111;'> 379.32KB </span>","children":null,"spread":false}],"spread":false},{"title":"2-conv-128-filters-2-dense-20200323_2059","children":[{"title":"events.out.tfevents.1584968405.DESKTOP-N44ROIE <span style='color:#111;'> 16.06MB </span>","children":null,"spread":false}],"spread":false},{"title":"1-conv-64-filters-1-dense-20200323_2055","children":[{"title":"events.out.tfevents.1584968145.DESKTOP-N44ROIE <span style='color:#111;'> 7.55MB </span>","children":null,"spread":false}],"spread":false},{"title":"3-conv-128-filters-2-dense-20200323_2100","children":[{"title":"events.out.tfevents.1584968431.DESKTOP-N44ROIE <span style='color:#111;'> 16.94MB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true},{"title":"data","children":[{"title":"0HP","children":[{"title":"48k_Drive_End_OR007@6_0_135.mat <span style='color:#111;'> 3.72MB </span>","children":null,"spread":false},{"title":"48k_Drive_End_IR014_0_174.mat <span style='color:#111;'> 997.02KB </span>","children":null,"spread":false},{"title":"48k_Drive_End_OR014@6_0_201.mat <span style='color:#111;'> 3.74MB </span>","children":null,"spread":false},{"title":"normal_0_97.mat <span style='color:#111;'> 3.72MB </span>","children":null,"spread":false},{"title":"48k_Drive_End_B014_0_189.mat <span style='color:#111;'> 3.80MB </span>","children":null,"spread":false},{"title":"48k_Drive_End_IR007_0_109.mat <span style='color:#111;'> 3.72MB </span>","children":null,"spread":false},{"title":"48k_Drive_End_OR021@6_0_238.mat <span style='color:#111;'> 3.76MB </span>","children":null,"spread":false},{"title":"48k_Drive_End_B021_0_226.mat <span style='color:#111;'> 3.72MB </span>","children":null,"spread":false},{"title":"48k_Drive_End_B007_0_122.mat <span style='color:#111;'> 3.73MB </span>","children":null,"spread":false},{"title":"48k_Drive_End_IR021_0_213.mat <span style='color:#111;'> 3.73MB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"test.py <span style='color:#111;'> 172B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"preprocess.cpython-36.pyc <span style='color:#111;'> 5.04KB </span>","children":null,"spread":false}],"spread":true},{"title":"777.py <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"Atuofaultdetecting.py <span style='color:#111;'> 6.31KB </span>","children":null,"spread":false},{"title":"lstm_diagnosis.py <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"Bear_data","children":[{"title":"test_data.csv <span style='color:#111;'> 61.43MB </span>","children":null,"spread":false},{"title":"train.csv <span style='color:#111;'> 92.07MB </span>","children":null,"spread":false},{"title":"bearing_detection_by_conv1d-master.zip <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":".idea","children":[{"title":"AutofaultDetecting.iml <span style='color:#111;'> 611B </span>","children":null,"spread":false},{"title":"misc.xml <span style='color:#111;'> 315B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 295B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 24.07KB </span>","children":null,"spread":false},{"title":"libraries","children":[{"title":"R_User_Library.xml <span style='color:#111;'> 128B </span>","children":null,"spread":false}],"spread":false},{"title":"inspectionProfiles","children":[{"title":"Project_Default.xml <span style='color:#111;'> 404B </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"README <span style='color:#111;'> 848B </span>","children":null,"spread":false},{"title":"preprocess.py <span style='color:#111;'> 7.51KB </span>","children":null,"spread":false},{"title":"finishModel.h5 <span style='color:#111;'> 13.15MB </span>","children":null,"spread":false},{"title":"CNN_1D.py <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false},{"title":"bearing_fault_diagnosis_model.png <span style='color:#111;'> 20.00KB </span>","children":null,"spread":false},{"title":"submmit.csv <span style='color:#111;'> 3.51KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

  • weixin_46286076 :
    数据集在哪
    2021-07-30

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明