A Neuro-Symbolic Approach for Anomaly Detection and Complex Fault Diagnosis Exemplified in the Automotive Domain

Autor(en):	Bohne, Tim Windler, Anne-Kathrin Patricia Atzmueller, Martin
Stichwörter:	Computer science; Context (archaeology); Anomaly detection; Artificial intelligence; Fault detection and isolation; Domain (mathematical analysis); Automotive industry; Blueprint; Fault (geology); Complement (music); Machine learning; Engineering; Mechanical engineering; Paleontology; Mathematical analysis; Biochemistry; Chemistry; Mathematics; Complementation; Seismology; Geology; Gene; Actuator; Biology; Phenotype; Aerospace engineering
Erscheinungsdatum:	2023
DOI:	https://doi.org/10.1145/3587259.3627546

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geprüft am 17.05.2024

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