GaoJiah's repositories
Estimation-of-Remaining-Useful-Life-using-CNN
Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
2018-phm-data-challenge
2018 phm data challenge, ion mill machine RUL & fault diagnosis
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Gear_and_bearing_vibration_separation
sperate the random impulses caused by bearings and the determinstic impulses by gears in planetary gearboxes
keras-octconv
Keras implementation of Octave Convolutions
Mechanical-Fault-Diagnosis-Based-on-Deep-Learning
CNN for mechanical fault diagnosis
OctConv-TFKeras
Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
predict-remaining-useful-life
Predict remaining useful life of a component based on historical sensor observations using automated feature engineering
Python
Python 入门教程：【草根学 Python （基于Python3.6）】
Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
slippy
A python 3.7 library for friction, lubrication and contact mechanics models
UDTL
Source codes for the paper "Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study"
wdcnn_bearning_fault_diagnosis
wdcnn轴承故障模型