bearing-fault-diagnosis
There are 25 repositories under bearing-fault-diagnosis topic.
Xiaohan-Chen/bear_fault_diagnosis
Bearing fault diagnosis model based on MCNN-LSTM
tvhahn/weibull-knowledge-informed-ml
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
biswajitsahoo1111/cbm_codes_open
This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
monologuesmw/bearing-fault-diagnosis-cnn
Siamese network for bearing fault diagnosis
junior209lsj/FaultDiagnosisOptimizerBenchmark
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
monologuesmw/bearing-fault-diagnosis-by-wdcnn
wdcnn model for bearing fault diagnosis
malyvsen/bearing-fault-detection
Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
hasanisaeed/BearFaultClassify
Bearing Fault Detection and Classification Based on Temporal Convolutions and LSTM Network in Induction Machine Systems
Rakibul73/Simulation_Modeling_Code
Simulation and Modeling in Python 3
efsierraa/PyCycloVarREB
Cyclostationary analysis in angular domain for bearing fault identification
karanrajagopalan/Nyquist-explorer
Vibration analysis tool, Signal processing tool
faisal-irzal/Predictive_maintenance_ML
Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.
RuslanBabudzhan/QuantumBearings
Detection of defective rolling bearings with machine learning methods based on bearings acceleration data
gkimer/thesis-ICI
Diagnóstico de falla de rodamiento utilizando descomposición modal empírica y deep learning
vuong-viet-hung/hust-bearing
Researches dedicated to bearing fault diagnosis from Mandevices Laboratory
vigneashpandiyan/Tribology-LSTM-Encoder_Decoder
Long short-term memory based semi-supervised encoder-decoder for early prediction of failures in self-lubricating bearings
Kahsolt/bearing-fault-diagnosis
Contest solution for 数境创新大赛-先进制造制造关键装置故障诊断
LGDiMaggio/Explainable-AI-for-Machine-Fault-Diagnosis
This project uses Explainable AI (XAI) to interpret machine learning models for diagnosing faults in industrial bearings. By applying SVM and kNN models and leveraging SHAP values, it enhances the transparency and reliability of machine learning in industrial condition monitoring.
VictorBauler/awesome-bearing-dataset
Bearing fault detection public datasets collection.
nicola98zambelli/PLS-for-fault-detection
the PLS allows both to classify the types of faults and to reduce the dimensionality of the problem by trying to maximize the covariance between X and Y, useful in supervised learning.
LGDiMaggio/CWRU-bearing-fault-classification-ML
A machine learning project for classifying bearing faults using the CWRU dataset, with models built using Python and various ML techniques such as cross-validation, PCA, tSNE, SVM, XGBoost.
dpowon9/Research_Internship
This research is conducted as part of the NSBE Aerospace SIG internship program. It is focused on investigating The Feasibility of Implementing Predictive maintenance on Rotorcraft Health and Usage Monitoring Systems.
ianwu0907/mymachine-learning
This is a reository to share my studys in machine learning, data science & artificial intelligence
dossleo/ProjetoFinal_LeonardoPacheco_UFRJ_LAVI
Este projeto tem por objetivo realizar Predições de defeitos em máquinas rotativas aplicando métodos de Machine Learning.
Muhammad-Shoaib37/Fault-Bearing-Classification-Analysis
Fault Bearing Classification Analysis dashboard to explore, diagnose and highlight potential factors to predict the fault class based on bearing statistical manufacturing data.