Machine health management in smart factory: A review

GY Lee, M Kim, YJ Quan, MS Kim, TJY Kim… - Journal of Mechanical …, 2018 - Springer
In this paper, we present a review of machine health managements for the smart factory. As
the Industry 4.0 leads current factory automation and intelligent machines, the machine …

State of the art review on process, system, and operations control in modern manufacturing

D Djurdjanovic, L Mears… - Journal of …, 2018 - asmedigitalcollection.asme.org
Dramatic advancements and adoption of computing capabilities, communication
technologies, and advanced, pervasive sensing have impacted every aspect of modern …

A uniaxial testing approach for consistent failure in vascular tissues

C Sang, S Maiti, RN Fortunato… - Journal of …, 2018 - asmedigitalcollection.asme.org
Although uniaxial tensile testing is commonly used to evaluate failure properties of vascular
tissue, there is no established protocol for specimen shape or gripping method. Large …

Modeling and analysis of nonlinear wave propagation in one-dimensional phononic structures

M Liu, WD Zhu - Journal of Vibration and Acoustics, 2018 - asmedigitalcollection.asme.org
Different from elastic waves in linear periodic structures, those in phononic crystals (PCs)
with nonlinear properties can exhibit more interesting phenomena. Linear dispersion …

Process and operations control in modern manufacturing

D Djurdjanovic, L Mears… - International …, 2017 - asmedigitalcollection.asme.org
Dramatic advancements and adoption of computing capabilities, communication
technologies, and advanced, pervasive sensing have impacted every aspect of modern …

Dynamic Bayesian network-based approach by integrating sensor deployment for machining process monitoring

K He, Z Zhao, M Jia, C Liu - IEEE Access, 2018 - ieeexplore.ieee.org
Many condition monitoring systems based on artificial intelligence process models for
machining process monitoring have been developed intensively. However, given that …

Rotating machinery fault diagnosis using a quadratic neural unit

R Rodríguez-Jorge, L Sánchez-Pérez… - … Journal of Grid and …, 2022 - inderscienceonline.com
In this work, a quadratic neural unit was implemented for rotating machinery fault diagnoses
of an industrial machine, where the input data that were used were taken from a vibration …

Time-varying process model for intelligent prediction of strain and temperature in micro-turning process

S Mandal, A Pal… - Proceedings of the …, 2019 - journals.sagepub.com
Time-varying process models for micro-machining processes are important as they aid in
control of machining parameters. In this research, a state-space-based process model for …

Adaptive Architecture for Fault Diagnosis of Rotating Machinery

R Rodríguez-Jorge, L Sánchez-Pérez, J Bíla… - International Conference …, 2021 - Springer
In this work, an adaptive architecture has been implemented for rotating machinery fault
diagnoses of an industrial machine, where the input data used in this work has been taken …

Investigations on size-effect dependent strain and temperature in micro turning near to the cutting edge

S Mandal, N Hanumaiah - Journal of Micromanufacturing, 2019 - journals.sagepub.com
This research presents an investigation for understanding machining physics by assessing
temperature and strain near (126 µm) to the cutting edge of tool tip in micro-turning process …