Edge computing on IoT for machine signal processing and fault diagnosis: A review

S Lu, J Lu, K An, X Wang, Q He - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

Top ten intelligent algorithms towards smart manufacturing

M Zhang, F Tao, Y Zuo, F **ang, L Wang… - Journal of Manufacturing …, 2023 - Elsevier
Intelligent algorithms can empower the development of smart manufacturing, since they can
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …

Data mining in predictive maintenance systems: A taxonomy and systematic review

A Esteban, A Zafra, S Ventura - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …

Smart retrofitting in maintenance: a systematic literature review

D Sanchez-Londono, G Barbieri… - Journal of Intelligent …, 2023 - Springer
The last decade saw the rise of digitalization and data-supported decision making in the
manufacturing industry: the Fourth Industrial Revolution. This trend, also known as Industry …

An in-depth study of vibration sensors for condition monitoring

IU Hassan, K Panduru, J Walsh - Sensors, 2024 - mdpi.com
Heavy machinery allows for the efficient, precise, and safe management of large-scale
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …

The edge application of machine learning techniques for fault diagnosis in electrical machines

J de Las Morenas, F Moya-Fernández… - Sensors, 2023 - mdpi.com
The advent of digitization has brought about new technologies that enable advanced
condition monitoring and fault diagnosis under the Industry 4.0 paradigm. While vibration …

Design and performance evaluation of an ultralow-power smart IoT device with embedded TinyML for asset activity monitoring

M Giordano, N Baumann, M Crabolu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article proposes a proof-of-concept device to continuously assess the usage of
handheld power tools and detect construction working tasks (eg, different drilling works) …

[HTML][HTML] Systematic literature review on visual analytics of predictive maintenance in the manufacturing industry

X Cheng, JK Chaw, KM Goh, TT Ting, S Sahrani… - Sensors, 2022 - mdpi.com
The widespread adoption of cyber-physical systems and other cutting-edge digital
technology in manufacturing industry production facilities may motivate stakeholders to …

[HTML][HTML] Adoptable approaches to predictive maintenance in mining industry: An overview

O Dayo-Olupona, B Genc, T Celik, S Bada - Resources Policy, 2023 - Elsevier
The mining industry contributes to the expansion of the global economy by generating vital
commodities. For continuous production, the industry relies significantly on machinery and …

[HTML][HTML] An augmented reality-assisted prognostics and health management system based on deep learning for IoT-enabled manufacturing

L Wang, D Tang, C Liu, Q Nie, Z Wang, L Zhang - Sensors, 2022 - mdpi.com
With increasingly advanced Internet of Things (IoT) technology, the composition of workshop
equipment has become more and more complex. Based on this, the rate of system …