Search Results - "Fault detection and clustering"

Intelligent back-to-back testing with denoising autoencoder-based fault detection and DBSCAN clustering

Authors: Mohammad Abboush Christoph Knieke Andreas Rausch

Source: Results in Engineering, Vol 27, Iss, Pp 105900-(2025)

Subject Terms: Fault detection and clustering, Technology, Back-to-back testing, Deep denoising autoencoder, HIL testing, Real-time validation, Automotive software systems

Access URL: https://doaj.org/article/34c5052e622c4cb18ed2d1499b7ffeea

GRU-based denoising autoencoder for detection and clustering of unknown single and concurrent faults during system integration testing of automotive software systems

Authors: Abboush, Mohammad Knieke, Christoph Rausch, Andreas

Subject Terms: article, ddc:004, automotive software systems development -- real-time validation -- hardware-in-the-loop (HIL) -- system integration testing -- fault detection and clustering -- deep learning -- GRU-based denoising autoencoder -- k-means

File Description: electronic resource; remote; Computermedien; Online-Ressource; 25 Seiten

Relation: Sensors -- 1424-8220 -- 2052857-7 -- http://uri.gbv.de/document/gvk:ppn:331640910 -- https://www.mdpi.com/journal/sensors; https://doi.org/10.3390/s23146606; http://uri.gbv.de/document/gvk:ppn:187308241X

Availability: https://doi.org/10.3390/s23146606
https://dokumente.ub.tu-clausthal.de/receive/clausthal_mods_00002523
https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/clausthal_derivate_00002137/sensors-23-06606.pdf
http://uri.gbv.de/document/gvk:ppn:187308241X