Batteries are prevalent energy providers for modern systems. They can also be regarded as
storage units for renewable and sustainable energy. Failures of batteries can bring huge …

Prognostics and health management is an emerging discipline to scientifically manage the
health condition of engineering systems and their critical components. It mainly consists of …

We are performing the digital transition of industry, living the 4th industrial revolution,
building a new World in which the digital, physical and human dimensions are interrelated in …

A key enabler of intelligent maintenance systems is the ability to predict the remaining useful
lifetime (RUL) of its components, ie, prognostics. The development of data-driven …

Maintenance decisions in domains such as aeronautics are becoming increasingly
dependent on being able to predict the failure of components and systems. When data …

Presently, time-based airline maintenance scheduling does not take fault predictions into
account, but happens at fixed time-intervals. This may result in unnecessary maintenance …

Proton exchange membrane fuel cell (PEMFC), as an attractive alternative power source,
has seen its increasing deployment in both automotive and small stationary applications. To …

Abstract As Cyber-Physical Systems (CPSs) are a class of systems advancing in a number
of safety-critical application areas, it is crucial to ensure that they operate without causing …

Data-driven prognostic techniques have been widely implemented to accurately predicting
the remaining useful life (RUL) of high-speed bearings. Accurate RUL estimation attributes …

In prognostics and health management (PHM), the task of constructing comprehensive
health indicators (HI) from huge amounts of condition monitoring data plays a crucial role …