Motivated by several accidents, attitude control of a spacecraft subject to faults/failures has
gained considerable attention in a wider range of aerospace engineering and academic …

With the advancement of industrial systems, fault monitoring and diagnosis methods based
on the data-driven attract much attention in recent years. This kind of methods are widely …

Prognostics is a major activity in the field of prognostics and health management. It aims at
increasing the reliability and safety of systems while reducing the maintenance cost by …

In this paper, an adaptive neural network (NN) control scheme is proposed for a quarter-car
model, which is the active suspension system (ASS) with the time-varying vertical …

Abstract Remaining Useful Life (RUL) prediction play a crucial part in bearing maintenance,
which directly affects the production efficiency and safety of equipment. Moreover, the …

Robust fault estimation plays an important role in real-time monitoring, diagnosis, and fault-
tolerance control. Accordingly, this paper aims to develop an effective fault estimation …

Industry 4.0 provides substantial opportunities to ensure a safer environment through online
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …

Maintenance routines on ships today follow either a reactive maintenance (RM) or
preventive maintenance (PvM) approach. RM can be regarded as post-failure repair, which …

Given the few unsuccessful space missions in the past few decades, designing a fault-
tolerant spacecraft's attitude control has piqued the scientific and academic community's …

A particle filtering (PF) is a sequential Bayesian filtering method suitable for non-linear non-
Gaussian systems, which is widely used to estimate the states of parameters of interest that …