Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes

arXiv:2402.19294v1 Announce Type: new
Abstract: Operating units often experience various failure modes in complex systems, leading to distinct degradation paths. Relying on a prognostic model trained on a single failure mode may lead to poor generalization performance across multiple failure modes. Therefore, accurately identifying the failure mode is of critical importance. Current prognostic approaches either ignore failure modes during degradation or assume known failure mode labels, which can be challenging to acquire in practice. Moreover, the high dimensionality and complex …

abstract analysis arxiv complex systems cs.ai cs.lg experience failure importance modeling multiple performance systems type units