Liuyuan_Japan2022's repositories
seam_detection
ROS package for weld seam detection using pointcloud data
control_theroy
参考资料
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，50余万字。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
MATLAB-_battery
本サンプルモデルでは、リチウムイオンバッテリーの各種設計方法について、具体的な設計方法を紹介します。 1. 等価回路モデリングとパラメータ推定 2. バッテリーパックのモデリング 3. セルバランス制御の設計とコード生成 4. 機械学習、深層学習を用いたバッテリー残寿命推定とアルゴリズムの実装
-github
相关指导网站
Algorithm
test
forecasting-battery-life
Forecasting Remaining Useful Life (RUL) using NASA Li-Ion Battery Dataset
Airplane-fault-prediction
This repository is a collection of codes generated for optimizing the echo state network for RUL prediction of airplane engines
projectRUL
to prediction the remain useful life of bearing based on 2012 PHM data
Battery-life-estimation
An neural network based algorithm to predict the remaining useful life of batteries.
CNC-RUL-Prediction
It aims to implement a real-time system to monitor the tool condition and predict the Remaining Useful Life (RUL) Computer Numerical Control (CNC) machine tools.
Battery_SOC_Estimation
Battery state of charge estimation using kalman filter in Matlab
Finding-remaining-useful-life-of-a-battery-using-particle-filter
Capacity values of Lithium Ion Battery is used as a prognostic method in order to predict the remaining useful life of Lithium-ion batteries. The state space model for Lithium Ion Battery to access Capacity Degradation is constructed using standard particle filter . Once the state space model is determined, the extrapolations of the state space model to a specific failure threshold are performed to obtain the remaining useful life of the lithium-ion batteries
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
RollingElementBearingFaultDiagnosis-Data
Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox