Robuta

https://www.theregister.com/2025/12/19/on_call/
Dec 19, 2025 - On Call: Hey, teacher, leave that cabling alone
to believetech supportfault diagnosisuserrefused
https://www.mdpi.com/1424-8220/21/1/18
Gearbox fault diagnosis based on the analysis of vibration signals has been a major research topic for a few decades due to the advantages of vibration...
fault diagnosisconstructionsensitivespeedinvariant
https://www.mdpi.com/1424-8220/22/1/227
This work considers industrial process monitoring using a variational autoencoder (VAE). As a powerful deep generative model, the variational autoencoder and...
fault detectionindustrial processesvariational autoencoderdiagnosis
https://deepai.org/publication/a-novel-deep-parallel-time-series-relation-network-for-fault-diagnosis
12/03/21 - Considering the models that apply the contextual information of time-series data could improve the fault diagnosis performance, so...
time seriesrelation networknoveldeepparallel
https://www.mdpi.com/1424-8220/22/14/5166
With the development of machine learning, data-driven mechanical fault diagnosis methods have been widely used in the field of PHM. Due to the limitation of...
unbalanced datafault diagnosisoversamplingmethodmechanical
https://hackernoon.com/tagged/bearing-fault-diagnosis
Read the latest bearing-fault-diagnosis stories on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.
fault diagnosisbearingstorieshackernoon
https://www.sprracing.co.uk
Spr Racing was started on 1st April 1994 by Peter and Sam Roberts with a passion for fast road and racing motorcycles Sam had raced at Club level in the late...
fault diagnosisservicingdynotestingengine
https://www.mdpi.com/1424-8220/21/19/6579
This paper proposes a Gaussian mixture model-based (GMM) bearing fault band selection (GMM-WBBS) method for signal processing.
gaussian mixture modelfault diagnosisnovelbearingusing