Abstract 3D bioprinting, a vital tool in tissue engineering, drug testing, and disease
modeling, is increasingly integrated with machine learning (ML) and artificial intelligence …

Condition-based maintenance (CBM) optimization utilizing prognostic information and
methods for complex systems has attracted increasing attention. This paper presents a bi …

Prognostic methods for remaining useful life and reliability prediction have been extensively
studied in the past decade. However, the use of prognostic information and methods in …

Inspection is usually carried out periodically to update a system state such that the optimal
maintenance policy can be determined. In order to obtain the best inspection and …

Selective maintenance is an important condition-based maintenance strategy for multi-
component systems, where optimal maintenance actions are identified to maximize the …

Unexpected failures may cause huge economic losses and bring about uncontrolled risks
and damage to humans and the environment. Condition-based maintenance is considered …

As a novel supporting approach, performance-based contracting (PBC) ties the service
supplier's compensation to the performance outcome of the system owned by the customer …

This paper addresses the challenge of optimizing maintenance for systems with varying
degradation characteristics in dynamic environment. The focus is on repairable systems …

We investigate a condition-based group maintenance problem for multi-component systems,
where the degradation process of a specific component is affected only by its neighbouring …

Condition‐based maintenance has been studied for managing the degradation of
components in a system. However, components in different positions may undergo different …