Pinned Repositories
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数据探索性分析与预处理 包括1、数据摘要 。 2、数据的可视化 。 3、数据缺失的处理
Aircraft-Engine-RUL-Prediction
Objective of this project is to built a sequential neural network which can predict the remaining useful life of an engine based on historical sensor data. For this regression problem, I employed keras Long-short-term-memory (LSTM) model with 'relu' activation function and 'rmsprop' optimizer to predict time-to-event.
autoencoder
个人练习，自编码器及其变形（理论+实践）
awesome-spider
爬虫集合
BaseAPP
react-native project
Bearing-fault-detection
轴承故障检测 训练赛第30名代码
bearing-fault-detection-1
Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
Electric-vehicle-battery-range-prediction
Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).
projectRUL
to prediction the remain useful life of bearing based on 2012 PHM data
RUL
migushu's Repositories
migushu/Electric-vehicle-battery-range-prediction
Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).
migushu/BaseAPP
react-native project
migushu/bearing-fault-detection-1
Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
migushu/Bearing-RUL-Predict
migushu/blog
我的博客
migushu/catgrasp
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
migushu/Deep-Learning-for-RUL
migushu/Deep-learning-in-PHM
Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
migushu/Estimation-of-Remaining-Useful-Life-using-CNN
Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
migushu/flash-linux0.11-talk
你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码
migushu/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
migushu/LDD-LinuxDeviceDrivers
Linux内核与设备驱动程序学习笔记
migushu/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.
migushu/LSTM_Battery_RUL_Prediction_
migushu/OpenPLC_Editor
OpenPLC Editor - IDE capable of creating programs for the OpenPLC Runtime
migushu/predictive-maintenance-spark
Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.
migushu/prognostic_and_rul_prediction_of_bearing_data
One model for RUL and fault prognostic prediction on XJTU bearing dataset
migushu/Reactapp
www
migushu/relkonIDE
Среда программирования ПЛК на базе QT
migushu/ros_exploring
《ROS机器人开发实践》源码
migushu/RUL-2
Estimate Remaining Useful Life of a Machine
migushu/RUL-and-SOH-estimation-of-Lithium-ion-satellite-power-systems-using-support-vector-regression
migushu/RUL-Prediction-Engine
migushu/rulbearingpredictor
migushu/TCN
Sequence modeling benchmarks and temporal convolutional networks
migushu/TDF-Starters-RUL
Using a neural network with LSTMs to predict the career end of Tour de France starters between 1995 and 2019.
migushu/team-learning-rs
主要存储Datawhale组队学习中“推荐系统”方向的资料。
migushu/Turbofan_usefull_life_prediction
given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.
migushu/typescript-react-antd-table-search-column-demo
migushu/vision-based-robotic-grasping
Related papers and codes for vision-based robotic grasping