aresmiki Goto Github PK

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 and neural network. This code comes from the undergraduate course assignment. The code has been written for 8 years. Because many students need such a simple case study, so it was sent out

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

bearing_dataset

blind-deconvolution-based-on-the-ratio-of-cyclic-content

This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitive impacts signal in noisy vibration.

convolutional-sparse-coding

convsparsecoding

Code accompanying the paper M. Sorel, F. Sroubek, "Fast convolutional sparse coding using matrix inversion lemma", Digital Signal Processing, vol. 55, pp.44-51, 2016

cs-recovery-algorithms

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

double-sparse-coding

Matlab code for learning doubly sparse dictionary on synthetic data. Details can be found in the paper "A Provable Approach for Double-Sparse Coding".

fastcsdl

a fast convolutional sparse dictionary learning algorithm, It can be applied to long one-dimensional signal processing. It doesn't need to divide long data into small segments to speed up the algorithm. It has low memory consumption and high computational efficiency.

gittest

leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

machine-fault-dataset

An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.（30余个开源故障诊断和预测数据集，不断更新中）

mathgeo2018

MathGeo: A toolbox for seismic data processing

mechanical-datasets

mini-blp-lplq

The Matlab code of blind deconvolution based on criterion defined by envelope spectrum

ncorr_2d_matlab

2D Digital Image Correlation Matlab Software

pythontest

pytorch-deep-svdd

My PyTorch implementation of Deep SVDD for Anomaly Detection

sf-slsn

Sparse Filtering with Single Layer and Single Node

sparsefiltering

Sparse Filtering

svdd-python

Python code for abnormal detection using Support Vector Data Description (SVDD)

ucad

[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.