Alternatives and similar repositories for acoustic-leakage-dataset-GPLA-12

Users that are interested in acoustic-leakage-dataset-GPLA-12 are comparing it to the libraries listed below

• biswajitsahoo1111 / cbm_codes_open
  This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
  ☆94Updated 8 months ago
• fish-kong / CSDN-code-link
  由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接
  ☆153Updated 2 years ago
• aresmiki / A-case-of-the-intelligent-bearing-fault-diagnosis
  This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection a…
  ☆52Updated 4 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…
  ☆84Updated last year
• iszeke / wind-turbine-phm
  for wind turbine phm
  ☆17Updated 7 years ago
• M73ACat / SGMD
  A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.
  ☆26Updated 2 years ago
• lkev / wt-fdd
  Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm
  ☆72Updated 3 years ago
• lkev / wtphm
  SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…
  ☆82Updated 4 years ago
• mathworks / WindTurbineHighSpeedBearingPrognosis-Data
  Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox
  ☆53Updated 3 years ago
• Anudruti / Predictive-Failure-Analysis-of-Spindle-Motor-Cutting-Oil-Condition-Monitoring-of-Grinding-Machine-
  With the advent of Industry 4.0, manufacturing industries are competing to adopt intelligent machining systems into their processes to ge…
  ☆12Updated 5 years ago
• XiongMeijing / CWRU-1
  Multiclass classification of vibration signals of faulty bearings
  ☆94Updated 6 years ago
• wkzs111 / phm-ieee-2012-data-challenge-dataset
  Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute
  ☆138Updated 7 years ago
• XinweiJiang / VMD
  variational mode decomposition and its variants
  ☆65Updated 4 years ago
• WH-Huan / JL-CNN
  The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.
  ☆24Updated 4 years ago
• viniciuserra / Gearbox-Hybrid-CNN-SVM
  The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…
  ☆24Updated last year
• n3iii0 / 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.
  ☆20Updated 5 years ago
• Bmajor98 / emd
  Python implementations of empirical mode decomposition as well as EEMD and CEEMD variants.
  ☆26Updated 4 years ago
• n-sapkota / Fault-Detection-wind-turbine
  Wind turbine fault detection using one class SVM
  ☆16Updated 3 years ago
• biswajitsahoo1111 / rul_codes_open
  This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
  ☆198Updated 8 months ago
• dou52885288 / Lstm_fault_detection
  fault detection in wind turbines
  ☆15Updated 5 years ago
• zhangxiaoling / Bearing-fault-detection
  轴承故障检测 训练赛第30名代码
  ☆131Updated 6 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).
  ☆155Updated 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
• BaratiLab / FaultNet
  ☆41Updated 3 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆94Updated 4 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
• mohyunho / N-CMAPSS_DL
  N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
  ☆95Updated 2 years ago
• MaoFuyou / woa-vmd-ssa-lstm
  ☆55Updated 5 months ago
• he-zh / vibration_gan
  Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
  ☆84Updated 3 years ago
• biswajitsahoo1111 / data_driven_features_ims
  Multiclass bearing fault classification using features learned by a deep neural network.
  ☆35Updated 3 years ago