steffen/website
1
0
Fork 0
Code Actions Packages Releases Activity

Website overhaul

Browse Source
This commit is contained in:
Steffen Illium
2025-03-27 22:57:31 +01:00
parent 2b75326eac
commit 755fd297bb
70 changed files with 1389 additions and 709 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
_posts/research/2021-03-02-AD_by_Image_Transfer_Learning.md
View File

@ -1,14 +0,0 @@
---
layout: single
title: "Anomalous Image Transfer"
categories: research audio deep-learning anomalie-detection
excerpt: "Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning"
header:
teaser: assets/figures/9_image_transfer_sound_teaser.jpg
---
![Workflow](\assets\figures\9_image_transfer_sound_workflow.jpg){:style="display:block; width:45%" .align-right}
This paper explores acoustic malfunction detection in industrial machinery using transfer learning, specifically leveraging neural networks pretrained on image classification to extract features.
These features, when used with anomaly detection models, outperform traditional convolutional autoencoders in noisy conditions across different machine types. The study highlights the superiority of features from ResNet architectures over AlexNet and Squeezenet, with Gaussian Mixture Models and One-Class Support Vector Machines showing the best performance in detecting anomalies.
{% cite muller2020acoustic %}
![Mels](\assets\figures\9_image_transfer_sound_mels.jpg){:style="display:block; width:85%" .align-center}