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2018 phm data challenge, ion mill machine RUL & fault diagnosis
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[email protected] 版权所有,违权必究 Tan 2018.06
Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
sperate the random impulses caused by bearings and the determinstic impulses by gears in planetary gearboxes
Keras implementation of Octave Convolutions
CNN for mechanical fault diagnosis
Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
Predict remaining useful life of a component based on historical sensor observations using automated feature engineering
Python 入门教程:【草根学 Python (基于Python3.6)】
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
A python 3.7 library for friction, lubrication and contact mechanics models
Source codes for the paper "Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study"
wdcnn轴承故障模型
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.