In this study, a novel non-negative tensor factorization (NTF)-based method for vibration-
based local damage detection in rolling element bearings is proposed. As the diagnostic …

Since artificial intelligence (AI) was introduced into engineering fields, it has made many
breakthroughs. Machine learning (ML) algorithms have been very commonly used in …

With the rapid development of power grids, the voltage level and capacity of high-voltage
shunt reactors (HVSRs) are increasing year by year, and HVSR faults are increasing …

On top of the condition-based maintenance (CBM) practice for rotating machinery, the robust
estimation of remaining useful life (RUL) for rolling-element bearings (REB) is of particular …

The time-frequency map (TFM) is frequently used in condition monitoring, necessitating
further processing to select an informative frequency band (IFB) or directly detect damage …

Condition monitoring and fault diagnosis are topics of growing interest for improving the
reliability of modern industrial systems. As critical structural components, anti-friction …

Fault propagation behaviour analysis is the basis of fault diagnosis and health maintenance.
Traditional fault propagation studies are mostly based on a priori knowledge of a causality …

There are lots of situations that cannot be described by traditional networks but can be
described perfectly by the hypernetwork in the real world. Different from the traditional …

High speed micromilling is the most preferred manufacturing process to fabricate complex
3D featured thin-walled structures like stents, turbine blades, micro-fins, cabin parts etc., that …

Tribovoltaic nanogenerators (TVNGs) are an advanced technology that can convert friction
energy into electrical energy via semiconductor tribovoltaic effect, which offers the …