The fiber Bragg grating (FBG) sensor, which was developed over recent decades, has been
widely used to measure manifold static measurands in a variety of industrial sectors. Multiple …

Fiber Bragg grating (FBG)-based acoustic emission (AE) detection and monitoring is
considered as a potential and emerging technology for structural health monitoring (SHM) …

We present a combination of convolutional neural network (CNN) framework and fast MIR
(mid-infrared spectroscopy) for classifying different types of dark plastic materials that are …

We present a convolutional neural network (CNN) framework for classifying different types of
plastic materials that are commonly found in mixed plastic waste (MPW) streams. The CNN …

Structural elements made of Organic Matrix Composites (OMC) under complex loading may
suffer from high Acoustic Emission (AE) activity caused by the emergence of different …

Applying acoustic emission method to understand the damage and failure mechanism of
hybrid composites is challenge for industry. For this study, nine types of carbon/glass fiber …

In this study, we focus on analyzing the acoustic emission waveforms of the fatigue crack
growth despite the conventional statistics-based analysis of acoustic emission. The acoustic …

To recycle the mixed plastic wastes (MPW), it is important to obtain the compositional
information online in real time. We present a sensing framework based on a convolutional …

We present a shape memory polymer (SMP) honeycomb with tuneable and shape morphing
mechanical characteristics. Kirigami (Origami with cutting allowed) techniques have been …

Detection and location of the source of acoustic emission in a thin aluminum panel is
demonstrated using a multichannel fiber laser sensor system. Acoustic emission generated …