Krisztián Horváth

A Large-Scale Industrial End-of-Line Vibroacoustic Dataset for Electric Drive Units Under a Variable-Speed Braking Condition

End-of-line vibroacoustic testing identifies abnormal noise and vibration before an electric drive leaves production, yet public datasets rarely capture production scale, heterogeneity, repeated testing, and multiple signal domains. This Data Descriptor presents 58,249 processed...

From Benchmark Accuracy to Industrial Evidence: A Registered Systematic Map and Nested Experiment-Level Audit of Validation Credibility in AI-Based Rotating-Machinery Fault Diagnosis

Artificial intelligence (AI) methods for rotating-machinery diagnosis based on vibration and acoustic signals are often evaluated on benchmark splits that do not establish physical independence or industrial generalization. This registered study combined a PRISMA-aligned systemat...