chenyue3's Stars
chaos198800/jia-na-da-wo-tai-hua-da-xue-bian-gong-kuang-zhou-cheng-zhen-dong-shu-ju-fen-xiang
加拿大渥太华大学变工况轴承振动数据分享
DExulans/fault-detection-of-gearbox-of-wind-turbine-based-on-LabVIEW
基于LabVIEW,可由故障齿轮箱振动信号生成时域图、频谱图、倒频谱图和包络谱图
decouples/Matlab_deep_learning
《Matlab计算机视觉与深度学习实战》代码
xgithubzh/-Matlab-
高速主轴不平衡振动分析及抑制方法研究软件系统
hello-sea/DeepLearning_Wavelet-LSTM
LSTM + Wavelet(长短期记忆神经网络+小波分析):深度学习与数字信号处理的结合
arlosefj/github_interest
interest repositories
zhouzhoi/pyqt5-system
pyqt5系统设计
CHfaithwy/HotelManagement
基于python+PyQt+MySQL的酒店管理系统
songdaoyuan/PyQtSQLServerLibrary
2019数据库原理及应用课设,基于PyQt,使用SQL Server的图书管理系统
poetwolf/pyqt5-imageprocessing
基于pyqt5的图像处理软件
cxinping/PyQt5
《PyQt5快速开发与实战》配套代码
YingFuu/ProgUnknownFMs
Yang12960821/-SWAT-DayCent-
软著项目代码文件
AlexanderZhou01/China-software-copyright
Chinese software copyright application template document
Shreyash-310/Condition_monitoring_project
Condition monitoring of machinery system (M.Tech Project)
NutchanonS/Smart_maintenance
Monitor the condition of Rotating Electrical Machines. There are unbalanced motor, misalignment in angular and parallel conditions. The data come from the accelerometer sensor. The model is using CNN 1D architecture with vibration data on 3-axis of each motor.
sudharshan2001/predictive-modelling-and-condition-monitoring-of-Thruster
Time series analysis and Anomaly Detection of Thruster based on synthetic data
vilaksh01/RSL10-based-Monitoring-of-Compressor-Water-Pump-Condition-
Applying sensor fusion with RSL10 and Bosch sensors to run a TinyML model for predictive maintenance of compressor water pumps
Ankur6889/Fault-Diagnosis-of-a-Rotating-Machinery
The objective of this project is to showcase how the performance of a multi-sensor system can be improved by reducing uncertainty, improving robustness and reliability by deploying statistical decision-making tools like Bayesian estimation. The project has been split into two parts, The first part deals with the problem of condition monitoring and fault diagnosis of a rotary machine by extracting features from a set of vibration signals, and then classify them into different clusters using KNN algorithm. The second part deals with multisensor signal estimation using different Bayesian estimators.
Zerohertz/Bearing-condition-monitoring-GUI
Neel-Dandiwala/Lithium-Batteries-RUL-ANN
An artificial neural network (ANN) based method is developed for achieving more accurate remaining useful life prediction of Lithium Ion batteries subject to condition monitoring. The ANN model takes the capacity attribute as a target against multiple measurement values as the inputs, and the life expectancy as the output.
12th-dew/Milling-Cutter-Condition-Monitoring-using-Machine-Learning
A GUI application which along with classifying milling cutter faults, allows for segregation of data points which are not derived from the training distribution into a different class.
Hooddi/FCM-DAGMM
condition monitoring and anomaly detection of a wind turbine pitch system using fuzzy C-means (FCM) and a deep autoencoding Gaussian mixture model (DAGMM)
OliverStoll/Anomaly-Detection-IIoT
"Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things" (IEEE) - Exploring resource-efficient & data privacy enabling training at the edge
PubNubDevelopers/Condition-Monitoring-Dashboard
This demo shows how you can build a industrial quality Condition Monitoring Dashboard.
suyogbrid/IOT-Based-Condition-Monitoring-of-CNC-Machine
BE-Project
casual-coder-sm/bearing-vibration-anomaly-detection
Academic Project for Automation of Condition Based Monitoring (CBM). Project uses IMS dataset to detect anomaly of Bearing part using Vibration Data
gyzhang5/Health-indicator-SPDM
A new health indicator provided for the comparison of machinery condition monitoring
Commandos-mm/Engine-Condition-Monitoring-S7-DPO-MAI
SophieMk/DPP-project
Engine condition monitoring, perfomance & TO prediction