bearing-fault-diagnosis
There are 11 repositories under bearing-fault-diagnosis topic.
Xiaohan-Chen / bear_fault_diagnosis
Bearing fault diagnosis model based on MCNN-LSTM
Language:Jupyter Notebook 257- weibull-knowledge-informed-ml
tvhahn / weibull-knowledge-informed-ml
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
Language:Python 138 biswajitsahoo1111 / cbm_codes_open
This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
Language:Jupyter Notebook 88monologuesmw / bearing-fault-diagnosis-cnn
Siamese network for bearing fault diagnosis
Language:Python 83junior209lsj / FaultDiagnosisOptimizerBenchmark
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
Language:Python 44wdcnn model for bearing fault diagnosis
Language:Python 31malyvsen / bearing-fault-detection
Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
Language:Python 29hasanisaeed / BearFaultClassify
Bearing Fault Detection and Classification Based on Temporal Convolutions and LSTM Network in Induction Machine Systems
Language:Python 17Rakibul73 / Simulation_Modeling_Code
Simulation and Modeling in Python 3
Language:Jupyter Notebook 15efsierraa / PyCycloVarREB
Cyclostationary analysis in angular domain for bearing fault identification
Language:Python 13karanrajagopalan / Nyquist-explorer
Vibration analysis tool, Signal processing tool
Language:Python 13faisal-irzal / Predictive_maintenance_ML
Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.
Language:Jupyter Notebook 9- QuantumBearings
RuslanBabudzhan / QuantumBearings
Detection of defective rolling bearings with machine learning methods based on bearings acceleration data
Language:Jupyter Notebook 7 gkimer / thesis-ICI
Diagnóstico de falla de rodamiento utilizando descomposición modal empírica y deep learning
Language:MATLAB 6vigneashpandiyan / Tribology-LSTM-Encoder_Decoder
Long short-term memory based semi-supervised encoder-decoder for early prediction of failures in self-lubricating bearings
Language:Python 5vuong-viet-hung / hust-bearing
Researches dedicated to bearing fault diagnosis from Mandevices Laboratory
Language:Python 5Kahsolt / 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
Language:Python 4VictorBauler / awesome-bearing-dataset
Bearing fault detection public datasets collection.
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.
Language:Jupyter Notebook 3- PLS-for-fault-detection
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.
Language:MATLAB 3 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.
Language:Python 1ianwu0907 / mymachine-learning
This is a reository to share my studys in machine learning, data science & artificial intelligence
Language:Jupyter Notebook 1A 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.
Language:Jupyter Notebook 1- ProjetoFinal_LeonardoPacheco_UFRJ_LAVI
dossleo / ProjetoFinal_LeonardoPacheco_UFRJ_LAVI
Este projeto tem por objetivo realizar Predições de defeitos em máquinas rotativas aplicando métodos de Machine Learning.
Language:Jupyter Notebook 0 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.