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Journal ArticleDOI

A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

TLDR
A new computational framework that enables remote real-time sensing, monitoring, and scalable high performance computing for diagnosis and prognosis is introduced and a proof-of-concept prototype is developed to demonstrate how the framework can enable manufacturers to monitor machine health conditions and generate predictive analytics.
About
This article is published in Journal of Manufacturing Systems.The article was published on 2017-04-01. It has received 223 citations till now. The article focuses on the topics: Prognostics & Wireless sensor network.

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Citations
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Journal ArticleDOI

Finding Faults: A Scoping Study of Fault Diagnostics for Industrial Cyber-physical Systems

TL;DR: Fault identification and diagnosis techniques employed in the aerospace, automotive, and industrial control domains are profile, suggesting the continuing wide use of both Model-Based and Data-Driven AI techniques across all domains reflects the complexity of the current ICPS application space.
Journal ArticleDOI

Cloud-Manufacturing-Based Condition Monitoring Platform With 5G and Standard Information Model

TL;DR: A 5G wireless communication network-based edge computing system is presented to achieve data acquisition, feature extraction, and emergency response with ultrareliability and low-latency communication and a generic open platform communications unified architecture information model oriented to the workshop is proposed in the fog layer.
Journal ArticleDOI

An Edge Computing Node Deployment Method Based on Improved k -Means Clustering Algorithm for Smart Manufacturing

TL;DR: The experimental results show that the proposed edge computing node deployment method can be easily applied to the intelligent manufacturing system; also, the effectiveness and efficiency of this method are verified.
Journal ArticleDOI

An integrated framework for active discovery and optimal allocation of smart manufacturing services

TL;DR: A mechanism is designed to consider the collaborative relationship of manufacturing resources and promote collaborative production and the distributed optimization model based on analytical target cascading method is introduced to maintain the decision autonomy of service providers and achieve the optimal allocation of smart manufacturing services.
Journal ArticleDOI

Prognostic study of ball screws by ensemble data-driven particle filters

TL;DR: The proposed hybrid GRU-PF method integrates the data-driven model and the physical model into the particle filters network to realize the prognostic and remaining useful life (RUL) prediction of the ball screw.
References
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Journal ArticleDOI

Random Forests

TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
ReportDOI

The NIST Definition of Cloud Computing

Peter Mell, +1 more
TL;DR: This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models.
Journal ArticleDOI

A view of cloud computing

TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
Book

The Grid 2: Blueprint for a New Computing Infrastructure

TL;DR: The Globus Toolkit as discussed by the authors is a toolkit for high-throughput resource management for distributed supercomputing applications, focusing on real-time wide-distributed instrumentation systems.
Proceedings ArticleDOI

Fog computing and its role in the internet of things

TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
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