Pinned Repositories
-github
相关指导网站
-pade
Airplane-fault-prediction
This repository is a collection of codes generated for optimizing the echo state network for RUL prediction of airplane engines
Algorithm
test
Battery-all
Battery-estimation
Battery-life-estimation
An neural network based algorithm to predict the remaining useful life of batteries.
Battery_SOC_Estimation
Battery state of charge estimation using kalman filter in Matlab
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.
control_theroy
参考资料
Ly251223's Repositories
Ly251223/-github
相关指导网站
Ly251223/-pade
Ly251223/Airplane-fault-prediction
This repository is a collection of codes generated for optimizing the echo state network for RUL prediction of airplane engines
Ly251223/Algorithm
test
Ly251223/Battery-all
Ly251223/Battery-estimation
Ly251223/Battery-life-estimation
An neural network based algorithm to predict the remaining useful life of batteries.
Ly251223/Battery_SOC_Estimation
Battery state of charge estimation using kalman filter in Matlab
Ly251223/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.
Ly251223/control_theroy
参考资料
Ly251223/course_Python_ML
Ly251223/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
Ly251223/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.
Ly251223/DianLu
Ly251223/download_on-the-desk
Ly251223/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
Ly251223/forecasting-battery-life
Forecasting Remaining Useful Life (RUL) using NASA Li-Ion Battery Dataset
Ly251223/Lihao_AE_sensor
Ly251223/lihongyi_ppt
Ly251223/Machine-Learning-Battery-SOC-Estimaton-Electric-Vehicles
Ly251223/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
Ly251223/matlab_code_book
Ly251223/multi-task-learning-
相关笔记
Ly251223/projectRUL
to prediction the remain useful life of bearing based on 2012 PHM data
Ly251223/RollingElementBearingFaultDiagnosis-Data
Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox
Ly251223/seam_detection
ROS package for weld seam detection using pointcloud data
Ly251223/SISO_RNN
Ly251223/travel_magazine
Ly251223/Xu
Ly251223/Za_files