2nd CFP.*
*Submission deadline:* 15 June 2020.
*Workshop: *8 Sep. 2020, Trento, Italy.
[Apologies for cross-postings. Please forward to interested colleagues and
mailing lists.]
Call for Contributions
Dear All,
the International Workshop on Predictive Maintenance (IWPM20) that will be
held in Trento (Italy) provides a forum to disseminate and discuss research
in this emerging research area that is increasingly attracting industrial
and academic researchers. It will be held on 8 September 2020 in Trento, in
conjunction with FRUCT27.
*About FRUCT*
The 27th FRUCT Conference is organized by the University of Trento and the
Open Innovations Association FRUCT, a large regional cooperation framework
that promotes open innovations of academia and industry. Participants comes
from Italy, Finland, Russia, UK, Denmark, India, and other countries and
industry is primarily represented by Dell EMC, Nokia, MariaDB, Intel,
Jolla, Open Mobile Platform, Skolkovo, etc.
*Background and Workshop Objectives*
Predictive maintenance is a new trend in research and industry involving
several application domains. Where in standard maintenance models the
maintenance procedures follow the failure or are scheduled at fixed time
intervals, in Predictive maintenance monitoring data and measurement of
process performance are used to trigger equipment maintenance. This data is
often used in conjunction with analyzed historical trends to evaluate the
system health and predict breakdowns before they happen. This approach is
based on fast analysis of large amount of data, as such it needs accurate
and complete information for optimal decision-making. As big data
technology is getting a mature, systematic analysis of massive streaming
data and more advanced Machine Learning techniques have been employed for
exploring hidden patterns in the monitoring data. Predictive maintenance
has found its place in many industrial sectors, with automotive leading the
way to introduce more involved approaches that both help in scheduling
maintenance procedures and suggest plans of action to mitigate failures.
This research area finds strong links with recent methodologies and
industry trends such as the Internet of Things, to extract actionable
insights directly from the equipment, and Digital Twins, digital replicas
of the equipment to model its state and simulate its performance.
Topics of interest include but are not limited to the following subject
areas:
- Predictive maintenance using AI, Deep Learning, Machine Learning
- Modeling and optimization of processes
- Condition-based monitoring and decision support systems
- Time series based predictive maintenance
- Predictive maintenance with online data
- Fault detection and diagnosis
- Prescriptive maintenance model for decision support
- Digital Twins for fault simulation and analysis
- Estimation of Remaining Useful Life of components
- Data visualization for predictive maintenance
Contributions:
- Full papers (min 6 full pages and up to 12 pages)
- Short papers (min 2, max 5 pages)
- Position papers (max 2 pages)
- Poster or demo summary (min 1, max 5 pages)
All papers must include references in the allotted page limits. Please note
that an author can be a co-author of a maximum of three documents of all
types.
Paper submission is via EasyChair accessible from the FRUCT submission
site: https://www.fruct.org/node/370121 (LaTeX and MS Word templates are
available).
All workshop papers will be published as Open Access in the FRUCT
Proceedings. Full papers will also be included in IEEE Xplore and indexed
by Scopus, ACM, DBLP, RSCI, Google Scholar. The FRUCT Proceedings are
included in the Scimago Journal Rank. Selected papers will be recommended
for CPCI indexing (Web of Science). FRUCT proceedings are included in DOAJ.
In addition, in case of successful presentation and recommendation by the
session chair some papers will be invited to make free of charge
publication of an extended version of the paper in the IJERTCS journal
(indexed by Scopus).
Important dates:
- Conference dates: from 7 to 9 September 2020
- Workshop dates: 8 September 2020
- Conference Location: Trento, Italy
- Early bird submission deadline: 29 May 2020
- Short Paper submission deadline: 15 June 2020
- Full Paper Submission deadline: 15 June 2020
- Notification of acceptance date: 6 July 2020
- Camera-ready submission deadline: 13 July 2020
- Authors registration deadline: 13 July 2020
- Demos/Posters submission deadline: 31 August 2020
Venue:
The 27th FRUCT Conference will be hosted by the University of Trento. For
further details, please consult the IWPM20 web page (
https://www.fruct.org/IWPM20) or the homepage of the 27th FRUCT Conference (
https://www.fruct.org).
*Organisers: *
- Fabio Viola, Centro EuroMediterraneo sui Cambiamenti Climatici (CMCC),
Lecce, Italy
- Simone Rossi Tisbeni, INFN-CNAF, Bologna, Italy
- Leticia Decker de Sousa, Istituto Nazionale di Fisica Nucleare (INFN),
Bologna, Italy
- Luca Giommi, Istituto Nazionale di Fisica Nucleare (INFN), Bologna,
Italy
FRUCT technical committee: https://www.fruct.org/tpc27
<https://www.fruct.org/tpc23>
---
Best regards,
* ===========================*
* Letícia Decker de Sousa. Ph.D. Candidate
Data Science and Computation Università di Bologna (UNIBO) *
* ===========================*
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
