Rotating machinery covers a broad range of mechanical equipment and plays a significant
role in industrial applications. It generally operates under tough working environment and is …

In this paper, we present a review of machine health managements for the smart factory. As
the Industry 4.0 leads current factory automation and intelligent machines, the machine …

Recently, the advancements in the field of wireless technologies and micro-electro-
mechanical systems lead to the development of potential applications in wireless sensor …

This paper proposes a self-adaptive technique for partial discharge (PD) signal denoising
with automatic threshold determination based on ensemble empirical mode decomposition …

A one-stop guide to transformer ageing, presenting industrially relevant state-of-the-art
diagnostic techniques backed by extensive research data Offers a comprehensive coverage …

Purpose–The purpose of this paper is to provide a contemporary look at the current state‐of‐
the‐art in wireless sensor networks (WSNs) for structure health monitoring (SHM) …

In condition monitoring for rolling bearings, it has achieved good diagnostic performance
and clear mechanistic interpretation based on vibration data. The high sampling frequency …

Vibration-based condition monitoring is an important approach to ensure the reliability of
industrial machines. On the one hand, traditional wired monitoring systems exhibit certain …

A novel islanding detection technique by hybridising empirical mode decomposition (EMD)
and multi‐scale mathematical morphology (MMM) is proposed to detect the islanding …

The condition monitoring for machinery equipment is vital for safe and economical
production in the industry. In modern manufacturing, data-driven methods for machine …