A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring

S Gaiardelli, N Dall'Ora, F Ponzio… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The Industry 4.0 paradigm has deeply changed classical manufacturing by introducing data-
based analytics and decision-support strategies. At the state of the art, data used for …

A composite learning approach for multiple fault diagnosis in gears

UI Inyang, I Petrunin, I Jennions - … Part O: Journal of Risk and …, 2024 - journals.sagepub.com
A major part of Prognostic and Health Management of rotating machines is dedicated to
diagnosis operations. This makes early and accurate diagnosis of single and multiple faults …

[引用][C] 基于格拉姆角场和卷积神经网络的船用发电柴油机故障诊断

C LI, Y HU, J JIANG, D CUI, AC LI, AY HU, AJ JIANG… - Journal of Zhejiang …, 2024

Vibration‐based drilling depth estimation of bone

Y Dai, M Armand - … Journal of Medical Robotics and Computer …, 2021 - Wiley Online Library
Drilling is one of the most common forms of tissue removal procedures, and drilling to a
desired depth contributes to avoid injury to the soft tissue beyond and ensure implant …

Methods for the Recognition of Multisource Data in Intelligent Medicine: A Review and Next-Generation Trends

S Bayrak, E Yucel - Next Generation Healthcare Informatics, 2022 - Springer
The use of technological innovations in medicine has led to an increase in efficiency in
disease recognition and to guide human life by facilitating. Intelligent medical systems can …

Robust Multiple-Fault Diagnosis of PMSM Drives Under Variant Operations and Noisy Conditions

MSM Eid, K Huynh, JSL Senanayaka, KG Robbersmyr - 2023 - uia.brage.unit.no
With the rapid development of industrial applications using permanent magnet synchronous
motors (PMSMs) and the Internet of Things, the demand for using robust fault diagnosis …

Research of fault information fusion based on ICEEMDAN and PSO-SVM algorithm for rolling bearing diagnosis

F Bie, H Zhang, F Lyu, Y Lu, J Peng, Y Miao, Y Shu - 2023 - researchsquare.com
As a key component of mechanical system, the extraction and accurate identification of fault
characteristic information of rolling bearing is very important to ensure its normal operation …

Research on Composite Impact Fault Identification Algorithm Based on Improved MLP and Single Sensor Data

YQ Yang, YL Li, X Liu, K Feng - 2022 Global Reliability and …, 2022 - ieeexplore.ieee.org
In the actual complex industrial environment, as an important part of mechanical equipment
gear box in variable speed, variable load operation environment after a long time of work …

Modelling and detecting faults of permanent magnet synchronous motors in dynamic operations

S Attestog - 2022 - uia.brage.unit.no
Permanent magnet synchronous motors (PMSMs) have played a key role in commercial and
industrial applications, ie electric vehicles and wind turbines. They are popular due to their …

[PDF][PDF] EEV5040-Industrial Automation and Drives

A Rassõlkin, V Rjabtšikov, M Ibrahim - haldus.taltech.ee
Digital Twin (DT) is one of the trending technologies of the fourth industrial revolution. It
allows representing physical assets under various operating conditions in a low-cost and …