The paper presents an open-source dataset called RflyMAD developed by Reliable Flight Control Group. The aim is to advance research in fault detection, isolation, and health assessment of multicopters. The…
Continue readingThis academic paper highlights the use of Explainable AI (XAI) and Deep Learning in detecting faults in rolling element bearings. The authors propose a unique, domain-specific feature attribution framework that…
Continue readingThis article from the University of Tehran proposes an intelligent method for detecting novel faults in centrifugal pumps using deep Convolutional Neural Networks (CNNs) and unsupervised methods. The study addresses…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
