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Edge computing on IoT for machine signal processing and fault diagnosis: A review
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 …
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …
Top ten intelligent algorithms towards smart manufacturing
Intelligent algorithms can empower the development of smart manufacturing, since they can
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …
Data mining in predictive maintenance systems: A taxonomy and systematic review
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 …
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 …
manufacturing industry: the Fourth Industrial Revolution. This trend, also known as Industry …
An in-depth study of vibration sensors for condition monitoring
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 …
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 …
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
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) …
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
The widespread adoption of cyber-physical systems and other cutting-edge digital
technology in manufacturing industry production facilities may motivate stakeholders to …
technology in manufacturing industry production facilities may motivate stakeholders to …
[HTML][HTML] Adoptable approaches to predictive maintenance in mining industry: An overview
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 …
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 …
equipment has become more and more complex. Based on this, the rate of system …