One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation

arXiv:2403.16153v1 Announce Type: new
Abstract: Accurate and reliable sensor measurements are critical for ensuring the safety and longevity of complex engineering systems such as wind turbines. In this paper, we propose a novel framework for sensor fault detection, isolation, and accommodation (FDIA) using masked models and self-supervised learning. Our proposed approach is a general time series modeling approach that can be applied to any neural network (NN) model capable of sequence modeling, and captures the complex spatio-temporal relationships among different …

abstract arxiv cs.ai cs.lg detection engineering framework longevity novel paper safety sensor systems type wind wind turbines