Prognostics and health management (PHM) has developed into a crucial discipline because
of its never-ending pursuit of safety, effectiveness, and dependability. The aircraft Landing …

This paper develops a novel artificial intelligence (AI)‐based approach, called the
metaheuristics‐optimized ensemble system (MOES), to assist civil engineers significantly in …

In recent years, structural health monitoring (SHM) applications have significantly been
enhanced, driven by advancements in artificial intelligence (AI) and machine learning (ML) …

This research aims to comprehensively analyze the most essential uses of artificial
intelligence in Aerospace Engineering. We obtained papers initially published in academic …

Degradation trend prognostics plays an important role in industrial prognostics and health
management (PHM), requiring data-driven models with higher predictive capability for …

ABSTRACT A method for condition monitoring and localization of defects in mass-produced
structural members using supervised learning is presented. An example for the effectiveness …

Failure in brittle materials led by the evolution of micro-to macro-cracks under repetitive or
increasing loads is often catastrophic with no significant plasticity to advert the onset of …

In this paper, a new strategy for vibration‐based structural health monitoring is proposed,
specifically designed for smart sensors with edge computing capabilities organized in a line …

This paper describes a highly-integrated CMOS system-on-chip (SoC) for active structural
health monitoring (SHM). The chip integrates ultrasonic power and bidirectional half-duplex …

Rubber bearings are key components of base-isolated structures, and the monitoring of their
damage states is an important task. Aging is a primary concern affecting the service life and …