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An artificial neural network-based system for detecting machine failures using tiny sound data: A case study

An artificial neural network-based system for detecting machine failures using tiny sound data: A case study

Thanh Tran
S. Bader
J. Lundgren
ArXiv (abs)PDFHTML

Papers citing "An artificial neural network-based system for detecting machine failures using tiny sound data: A case study"

5 / 5 papers shown
Title
Detecting Drill Failure in the Small Short-sound Drill Dataset
Detecting Drill Failure in the Small Short-sound Drill Dataset
Thanh Tran
Nhat Truong Pham
J. Lundgren
37
2
0
25 Aug 2021
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
Taisuke Kobayashis
BDLDRL
63
18
0
04 Mar 2020
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDLSSLDRL
87
2,354
0
06 Jun 2019
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
373
25,646
0
09 Jun 2011

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