hellending / LSTM_computerFault_prediction-diagnosis

Related projects: ⓘ

• win-z / diagnosis_of_rotating_machinery
  基于无监督和迁移学习的旋转机械故障诊断
  ☆32Updated 4 years ago
• BadUncleBoy / Alternator_analysis
  依据发电机电流预测发电机故障以及故障时间
  ☆10Updated 4 years ago
• huster123 / 1d-based-DCNN
  一维卷积网络用于航空发动机剩余寿命预测
  ☆25Updated 5 years ago
• alliens / -
  基于迁移学习的离心泵滚动轴承故障自动识别方法研究
  ☆15Updated 4 years ago
• caidongqi / CNN-based_CWRU_Bearing_Fault_Diagonis
  Analysis of CWRU Bearing Data Set and Development of WeChat Mini Program Interface
  ☆41Updated 2 years ago
• marathon110 / FaultPredictionSystem
  毕设-设备故障预测系统
  ☆32Updated 5 years ago
• renlikun1988 / 1D-CNN-for-CWRU
  1D CNN for CWRU rolling bearings dataset
  ☆34Updated 6 years ago
• ziapple / fd-dann
  基于迁移学习DANN模型，对不同工况轴承进行故障诊断
  ☆31Updated 3 years ago
• mdzalfirdausi / CNN-for-Paderborn-Bearing-Dataset
  in Python
  ☆15Updated 2 years ago
• wangzhijie / LSTM-SVM-Classify
  LSTM和SVM实现设备故障诊断
  ☆48Updated 5 years ago
• cookieli / Bearing_detect
  利用深度学习自编码器进行故障诊断的程序
  ☆11Updated 6 years ago
• xujiachang1024 / Fault-Diagnosis-with-ML
  Fault Diagnosis with Machine Learning Methods, the dissertation project of my MSc Data Science degree at King's College London
  ☆12Updated 5 years ago
• fish-kong / Rolling-bearing-fault-diagnosis
  ☆18Updated this week
• CadeHu / Transfer-Learning
  迁移学习(故障诊断)上的一点探索
  ☆13Updated 3 years ago
• yanshen210 / KNN-SA-GNN
  论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码
  ☆24Updated 2 years ago
• lnptuonli / cwru
  轴承故障诊断实验 17级15组
  ☆13Updated 4 years ago
• liguge / FWA-DBN-ELM-for-intelligent-fault-diagnosis
  FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断
  ☆27Updated last year
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆21Updated 5 years ago
• woshiyiduohua / paper-reading
  故障诊断方面的论文阅读
  ☆16Updated 4 years ago
• Gearboxdata / Gear-Box-Fault-Diagnosis-Data-Set
  : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…
  ☆37Updated 6 years ago
• LanXiu0523 / WHVG_GCN
  采用一种包含加权水平可见图(WHVG)的图卷积网络(GCN)，对采样的轴承震动时间序列数据分析，进行滚动轴承故障诊断。其中，对HVG中两节点的边，以节点距离的倒数作为权重进行加权，以削弱噪声节点对其他距离较远节点的影响。
  ☆35Updated last year
• mingzhangPHD / Supplementary-Dataset
  This is the original dataset that we use in our research work, but it may difficult to find in the original link.
  ☆24Updated 3 years ago
• Scallopwang / Rotating-machinery-fault-diagnosis-dataset
  It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…
  ☆19Updated 4 years ago
• marslzd / Fault_Diagnosis_Machine_Learning
  ☆10Updated 2 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆24Updated 4 years ago
• TAN-OpenLab / logistic-ELM
  A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.
  ☆18Updated 2 years ago
• fee78520 / Bearing-fault-prediction
  轴承有3种故障：外圈故障，内圈故障，滚珠故障，外加正常的工作状态。如表1所示，结合轴承的3种直径（直径1,直径2,直径3），轴承的工作状态有10类
  ☆31Updated 5 years ago
• pfb2008999 / deep-learning-fault-diagnosis
  ☆10Updated 5 years ago
• HustWolfzzb / Fault-diagnosis-based-on-industrial-big-data
  这是我的毕业设计，本人本科机械，但是读直博到计算机，所以毕业设计双向都有涉及。权当是练手之作了，请勿见笑
  ☆66Updated 6 years ago
• BBT0524 / diagnose_fault_by_vibration
  毕设研究课题：根据轴承的振动序列数据来诊断轴承故障。
  ☆116Updated 3 years ago
• fish-kong / Fusion-CNN-multi-CNN-for-feature-extraction-and-SVM-for-fault-diagnosis-
  ☆10Updated this week