Description
The sensorization of machines used in industries (Industry 4.0) and the ability to connect them to a data network, have changed the way companies maintain and optimize the performance of their machines. Each one is capable of generating large volumes of data daily, big data methodologies can now be applied to these data in order to extract knowledge, this was an impossible task not so long ago. However, in many cases sensorization and data analysis are not enough to detect faults or alarms and once they occur, an operator must fix them manually. The purpose of this paper is to use a semantic analyzer, based primarily on a case-based reasoning system which extracts information from the reports written by operators about the faults they resolved in machines. Thus, when a fault or alarm occurs and there are previous reports about this machine, the developed system independently proposes a solution and there is no need for an operator to identify the problem. To do this, a text analysis platform has been created, it applies case-based reasoning to report the causes of the problem. In the majority of cases, the proposed system can successfully resolve the problem and it is not necessary to revise the machine in order to detect a malfunction and also simplifies the repair process by providing the operator with a glossary of key terms based on the history of repair reports.
This workshop will focus on the Emerging Data and Industry 4.0. Arewas of special interest include but are not limited to applications of Artificial Intelligence, Blockchain, Edge computing/fog computing-based systems, IoT, Big data, etc. in the topic of Industry 4.0 and Emerging Data. This workshop is devoted to promoting the investigation of the latest research in Industry 4.0 and Emerging Data and their effective applications, to explore the latest innovations in guidelines, theories, models, ideas, technologies, applications and tools of Industry 4.0 to assess the impact of the approach, and to facilitate technology transfer.
Important dates
Submission deadline: January 11, 2019
Notification date: February 15, 2019
Author accepted paper submission deadline: March 1, 2019
Please submit your paper via easy chair
Format of the workshop
This one-day workshop will consist of invited talks from experts, technical and position papers presentations organized into topical sessions (decided based on submissions), and a poster session depending on the participation. To encourage discussion, the workshop will be limited to 50 invited participants. We plan to have a keynote speaker and a demo session.
Submission requirements
The organizing committee is currently seeking either technical papers up to 6 pages in the conference format, or else, for poster presentations, authors should submit a short paper or extended abstract, up to 2 pages describing research relevant to the workshop. The submission guidelines are available here.
Scope
Special Issue
Confirmed list of TPC members
Juan Manuel Corchado
University of Salamanca, Spain
Alfonso González Briones
University of Salamanca, Spain
Francisco Herrera
University of Granada, Spain
Enrique Herrera-Viedma
University of Granada, Spain
Kannan Govindan
University of Southern Denmark, Denmark
Vicente Julián
Universitat Politècnica de València, Spain
Vicente Botti
Universitat Politècnica de València, Spain
Roberto Casado Vara
University of Salamanca, Spain
Pablo Chamoso Santos
University of Salamanca, Spain
Fernando De La Prieta
University of Salamanca, Spain
Javier Prieto
University of Salamanca, Spain
Sara Rodríguez
University of Salamanca, Spain
Juan Pavón Mestras
Universidad Complutense, Madrid, Spain
José Manuel Molina López
Universidad Carlos III, Madrid, Spain
Pedro Larrañaga
Politecnica de Madrid, Spain
José Luis Calvo-Rolle
University of A Coruña, Spain
Adriana Giret
Universitat Politècnica de València, Spain
Tentative list of TPC members
Adolfo López Paredes
Universidad de Valladolid, Spain
Jaime Lloret
Universitat Politècnica de València, Spain
Thomas Bäck
Leiden University, Netherland
Katharina Morik
TU Dortmund University