[HTML][HTML] An explainable predictive maintenance strategy for multi-fault diagnosis of rotating machines using multi-sensor data fusion
Abstract Industry 4.0 denotes smart manufacturing, where rotating machines predominantly
serve as the fundamental components in production sectors. The primary duty of …
serve as the fundamental components in production sectors. The primary duty of …
A robust health prognostics technique for failure diagnosis and the remaining useful lifetime predictions of bearings in electric motors
Featured Application The proposed robust health prognostics technique identifies outer race
bearing failures and predicts the remaining useful lifetimes of the bearings of electric motors …
bearing failures and predicts the remaining useful lifetimes of the bearings of electric motors …
Early fault classification in rotating machinery with limited data using TabPFN
Intelligent fault detection and classification is a cornerstone of prognostic and health
management of rotating machinery (RM) research. Correctly classifying and predicting RM …
management of rotating machinery (RM) research. Correctly classifying and predicting RM …
A Robust Development of an Efficient Industrial Monitoring and Fault Identification Model using Internet of Things
YYO Al Belushi, PJ Dennis, S Deepa… - … Conference on Big …, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) is rapidly develo** technologies and the Internet of Things (IoT) is
a network of physical items or effects embedded with computer software, detectors, and …
a network of physical items or effects embedded with computer software, detectors, and …
[HTML][HTML] Explainable and interpretable bearing fault classification and diagnosis under limited data
Rotating machinery plays an essential role in various industrial processes such as
manufacturing, power generation, and transportation. These machines, which include …
manufacturing, power generation, and transportation. These machines, which include …
A compact IIoT system for remote monitoring and control of a micro hydropower plant
Remote monitoring and operation evaluation applications for industrial environments are
modern and easy means of exploiting the provided resources of specific systems. Targeted …
modern and easy means of exploiting the provided resources of specific systems. Targeted …
[HTML][HTML] Robust prediction of remaining useful lifetime of bearings using deep learning
Predicting the remaining useful lifetime (RUL) of bearings in electric motors is crucial to
reduce repair costs in industrial maintenance. With the technological advances of Industry …
reduce repair costs in industrial maintenance. With the technological advances of Industry …
Authentication in Blockchain-Based IoT Devices: A Review
The Internet of Things (IoT) paradigm is setting the stage for a future in which many everyday
objects will be networked and able to communicate with their surroundings to gather data …
objects will be networked and able to communicate with their surroundings to gather data …
Research on Failure Characteristics of Electric Logistics Vehicle Powertrain Gearbox Based on Current Signal
Q Tang, X Shu, J Wang, K Yuan, M Zhang, H Zhou - Energies, 2024 - mdpi.com
As a core component of the powertrain system of Electric Logistics Vehicles (ELVs), the
gearbox is crucial for ensuring the reliability and stability of ELV operations. Traditional fault …
gearbox is crucial for ensuring the reliability and stability of ELV operations. Traditional fault …
Automation of a PCB Reflow Oven for Industry 4.0
I Vilches, F Juárez Durán, A Gómez-Espinosa… - Automation, 2023 - mdpi.com
With the rise of Industry 4.0, its pillars (which include Internet of Things,“Big Data”, data
analytics, augmented reality, cybersecurity, etc.) have become unavoidable tendencies for …
analytics, augmented reality, cybersecurity, etc.) have become unavoidable tendencies for …