tangletit's Stars
Starklee-xjtu/ML_rdtree
machine learning exercise
ZhuGeComing/PHM-Qingdao
参加PHM2019青岛的会议,把一些感触和看到的文章放进来
peilion/Rotary-Machines-Diagnosis
matheuscnali/bearing_rul_predict
n3iii0/LSTM-Lifetime-Estimation
This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.
ashenMin/--IMS-
杭电创新实践课,故障诊断项目代码
LahiruJayasinghe/RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
umbertogriffo/Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
caglarmert/RUL
RUL Prediction
godmoves/device_management
kidozh/keras_detect_tool_wear
Tool wear prediction by residual CNN
kidozh/rnn_in_forecasting_tool_wear
Maybe the 1st tool wear forecasting by DL
yassir-aea/Predection-Bearing-RUL
Predection Bearinf life
cputnam/FEMTO
Spark - Bearing RUL Predictions
migushu/projectRUL
to prediction the remain useful life of bearing based on 2012 PHM data
sabderra/predictive-maintenance-lstm
Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.
migushu/RUL
TwoPeopleRunning/diagnosis
Bearing fault diagnosis
BinXia/FaultDiagnosis_HS
The condition monitoring and fault diagnosis of HS.
beifengchuizoudemeng/CWRU
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
mmmjh/ErrorPlatform
基于移动端在线设备故障诊断平台
POGE0124/frequency-fault-diagnosis-software
基于深度学习的频率类故障实时诊断软件
POGE0124/Improved-LSTM
RUL Prognostics Method Based on Real Time Updating of LSTM Parameters
importantmax/Sundm75-FaultDiagnosis-LabviewProject
轴承在线监测与故障诊断系统Labview程序
AaronCosmos/CaseWesternReserveUniversityData
AaronCosmos/Estimation-of-Remaining-Useful-Life-using-CNN
Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
AaronCosmos/Viberation-signal-processing
hiajianchan/greenhouse
基于NB-IoT的温室环境远程监测系统应用平台
hustcxl/1D-CNN-for-CWRU
1D CNN for CWRU rolling bearings dataset