Multimodal data fusion for systems improvement: A review

N Gaw, S Yousefi, MR Gahrooei - … from the Air Force Institute of …, 2022 - taylorfrancis.com
In recent years, information available from multiple data modalities has become increasingly
common for industrial engineering and operations research applications. There have been a …

High-dimensional data analytics in structural health monitoring and non-destructive evaluation: A review paper

H Momeni, A Ebrahimkhanlou - Smart Materials and Structures, 2022 - iopscience.iop.org
This paper aims to review high-dimensional data analytic (HDDA) methods for structural
health monitoring (SHM) and non-destructive evaluation (NDE) applications. High …

Dual process monitoring of metal-based additive manufacturing using tensor decomposition of thermal image streams

M Khanzadeh, W Tian, A Yadollahi, HR Doude… - Additive …, 2018 - Elsevier
Additive manufacturing (AM) processes are subject to lower stability compared to their
traditional counterparts. The process inconsistency leads to anomalies in the build, which …

In-situ point cloud fusion for layer-wise monitoring of additive manufacturing

Z Ye, C Liu, W Tian, C Kan - Journal of Manufacturing Systems, 2021 - Elsevier
Additive manufacturing (AM) has received an increasing attention in the manufacturing
sector, owing to its high-level design freedom and enhanced capability to produce parts with …

Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis

A Al Mamun, C Liu, C Kan, W Tian - Journal of Manufacturing Systems, 2022 - Elsevier
In cyber-physical systems (CPS) of additive manufacturing (AM), cyber-attacks may
significantly alter the design of the AM part, compromising its mechanical properties and …

Multifractal analysis of image profiles for the characterization and detection of defects in additive manufacturing

B Yao, F Imani, AS Sakpal… - Journal of …, 2018 - asmedigitalcollection.asme.org
Metal-based powder-bed-fusion additive manufacturing (PBF-AM) is gaining increasing
attention in modern industries, and is a promising direct manufacturing technology. Additive …

Real-time monitoring of high-dimensional functional data streams via spatio-temporal smooth sparse decomposition

H Yan, K Paynabar, J Shi - Technometrics, 2018 - Taylor & Francis
High-dimensional data monitoring and diagnosis has recently attracted increasing attention
among researchers as well as practitioners. However, existing process monitoring methods …

Multiple tensor-on-tensor regression: An approach for modeling processes with heterogeneous sources of data

MR Gahrooei, H Yan, K Paynabar, J Shi - Technometrics, 2021 - Taylor & Francis
In recent years, measurement or collection of heterogeneous sets of data such as those
containing scalars, waveform signals, images, and even structured point clouds, has …

In-process quality improvement: Concepts, methodologies, and applications

J Shi - IISE transactions, 2023 - Taylor & Francis
This article presents the concepts, methodologies, and applications of In-Process Quality
Improvement (IPQI) in complex manufacturing systems. As opposed to traditional quality …

Spatially weighted PCA for monitoring video image data with application to additive manufacturing

BM Colosimo, M Grasso - Journal of Quality Technology, 2018 - Taylor & Francis
Abstract Machine vision systems for in-line process monitoring in advanced manufacturing
applications have attracted an increasing interest in recent years. One major goal is to …