duodenary's starred repositories
Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
Weighted_Multi-Scale_Dictionary_Learning
Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"
Unsupervised-Singing-Voice-Detection-Using-Dictionary-Learning
Implementation of the algorithm in: Aggelos Pikrakis, Yannis Kopsinis, Nadine Kroher, Jose Miguel Diaz-Banez, "Unsupervised Singing Voice Detection Using Dictionary Learning", 24th European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016.
Dictionary_learning_for_declipping
Consistent dictionary learning algorithm for signal declipping
Dictionary_learning_for_declipping_Python
Consistent dictionary learning algorithm for signal declipping (Python code)
eeg-processing-toolbox
Matlab code for proccesing EEG signals.
Signal-Separation-via-Finite-Impulse-Response
Extract animal sound as clearly as possible and remove background unwanted sounds
LSTM_for_BSS
Blind source separation of audio signals using LSTM
Blind-Source-Separation-using-Dictionary-Learning
A model for Blind Source Separation using Dictionary Learning
Vibration-Signal-Processing
MATLAB Code for vibration signal processing :musical_score:
vibration_gan
Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
Fourier2.0_MATLAB
A MATLAB project for Fourier series visualization
Gearbox-Environment
Custom Gearbox Environment for use in Reinforcement Learning (GYM Env Defintion with Stable-Baseline)
GearboxOptimization
Matlab program to minimize gearbox kinetic energy while maintaining a certain overall ratio and not breaking.
Fault_diagnosis_ballbearing_wavelet
Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity
Gear_and_bearing_vibration_separation
sperate the random impulses caused by bearings and the determinstic impulses by gears in planetary gearboxes
Hybrid_Approach_To_Planetary_Gearbox_Prognostics
Masters Thesis: Hybrid Approach to planetary gearbox prognostics (University of Pretoria, South-Africa, CAIM)
GearboxAutomatedDesign
Code and report for a project where we were tasked with designing a gearbox for the Solar Impulse plane. The stress analysis for the gear train (2-stage compound) was fully automated in MATLAB and safety factors represented graphically. Design constraints were based on the actual values. Gears, and shafts were designed, and bearings selected.
tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
iEnhancer-WDSET
iEnhancer-WDSET: Fusing multiple features for identifying enhancers and their strength by weighted DS evidence theory