Alternatives and similar repositories for ManufacturingNet

Users that are interested in ManufacturingNet are comparing it to the libraries listed below

• PML-UCF / pinn_wind_bearing
  Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks
  ☆114Updated 3 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆94Updated 4 years ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆20Updated 6 years ago
• biswajitsahoo1111 / data_driven_features_ims
  Multiclass bearing fault classification using features learned by a deep neural network.
  ☆35Updated 3 years ago
• gmxavier / TEP-meets-LSTM
  Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.
  ☆35Updated last year
• wkzs111 / phm-ieee-2012-data-challenge-dataset
  Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute
  ☆142Updated 7 years ago
• mathworks / RollingElementBearingFaultDiagnosis-Data
  Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox
  ☆39Updated 2 years ago
• ZhongWang24 / condition-monitoring-system-for-gas-turbine
  A condition monitoring system for gas turbine, including refenrece value, anomaly detection, and fault diagnosis.
  ☆35Updated 7 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆46Updated 7 years ago
• ZhaoZhibin / Basic-Rotating-Machine-Vibration-Analysis
  These codes realize data transformation and simple data processing for fault diagnosis.
  ☆93Updated 7 years ago
• biswajitsahoo1111 / cbm_codes_open
  This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
  ☆94Updated 9 months ago
• alxhslm / ROLADYN
  MATLAB toolbox for simulating the lateral dynamics of rotating machines.
  ☆47Updated 2 years ago
• XiongMeijing / CWRU-1
  Multiclass classification of vibration signals of faulty bearings
  ☆99Updated 6 years ago
• RamanHacks / Fault-Diagnosis
  Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks
  ☆41Updated 6 years ago
• ninja1mmm / 2018-phm-data-challenge
  2018 phm data challenge, ion mill machine RUL & fault diagnosis
  ☆70Updated 7 years ago
• DatrikIntelligence / Stacked-DCNN-RUL-PHM21
  Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.
  ☆83Updated 2 years ago
• tvhahn / weibull-knowledge-informed-ml
  Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
  ☆161Updated 2 years ago
• Lucky-Loek / ieee-phm-2012-data-challenge-dataset
  Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute
  ☆148Updated 5 years ago
• ZhaoZhibin / Probabilistic_RUL_Prediction
  ☆64Updated 4 years ago
• rclark48 / hydro_slide_bearing
  Matlab simulation of a hydrodynamically lubricated slider bearing
  ☆10Updated 6 years ago
• camaramm / tennessee-eastman-profBraatz
  The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training a…
  ☆155Updated 3 years ago
• Ali-Alhamaly / 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 ne…
  ☆66Updated 6 years ago
• pimlphm / Physics-informed-machine-learning-based-on-TCN
  A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…
  ☆27Updated 3 years ago
• azollanvari / FaultPrognosisDL
  ☆13Updated 5 years ago
• VNemani14 / UQ_ML_Tutorial
  Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …
  ☆29Updated 2 years ago
• fguc / SensorFDwithPITL
  Sensor Fault Diagnosis with Physics Informed Transfer Learning
  ☆13Updated 3 years ago
• mathworks / WindTurbineHighSpeedBearingPrognosis-Data
  Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox
  ☆53Updated 3 years ago
• Western-OC2-Lab / Vibration-Based-Fault-Diagnosis-with-Low-Delay
  Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…
  ☆89Updated last year
• monologuesmw / bearing-fault-diagnosis-cnn
  Siamese network for bearing fault diagnosis
  ☆91Updated 5 years ago
• arthurviens / bayesrul
  Bayesian Neural Networks to predict RUL on N-CMAPSS
  ☆21Updated 3 years ago