Call for Papers: Special Issue on Systems Monitoring and Maintenance – new models, trends and applications in the context of IoT and Maintenance 4.0

Abstract

The importance of technical systems maintenance has increased in recent past decades mainly for two reasons. First, poorly maintained equipment may lead to more frequent equipment failures, poor utilization of equipment and delayed operational schedules. Misaligned or malfunctioning equipment may result in scrap or products of questionable quality manufacturing. Second, the development of such solutions as Machine Learning methods, Artificial Intelligence models, Internet of Things, or sensor-based condition monitoring constitute the recent intelligent and predictive maintenance systems performance. These technologies on advancing reliability and asset management deliver new value for every organization in the context of Maintenance 4.0 implementation.

As a result, many models and methods have been developed for effective/optimal maintenance performance essential to ensure high availability and reliability during physical assets life time. Following this, the objectives of papers will be to present technical and modelling research results, applications of sensors, and maintenance engineering solutions to serve as a forum for maintenance researchers to indicate the main future directions of Maintenance 4.0 development.

Experimental and theoretical works are both welcome in the area of maintenance modelling and applications in various industry sectors. Critical reviews and surveys of the state of the art and practice are also highly encouraged.

The aim of this special issue is to publish important selected papers presented at the 5th International Conference on Mathematical Techniques in Engineering Applications (ICMTEA2021: http://www.icmtea.in), held in Dehradun, India on December 3-4, 2021, but open to other authors also with high quality articles. The topics covered in this special issue is fully covered in the aim and scope of the International Journal of System Assurance Engineering and Management (https://www.springer.com/journal/13198).

Topics covered (but not limited too):

  • Maintenance 4.0
  • Predictive maintenance
  • Condition based maintenance
  • Reliability and risk assessment
  • Safety management
  •  Systems analysis, simulation, design, and modeling
  • Data mining and Big Data in maintenance
  • Sensor-based contributions, IoT
  • Machine Learning for maintenance
  • Software tools for risk and maintenance
  • Artificial Intelligence methods in maintenance

Guest Editors:
Mangey Ram, PhD, Professor, Graphic Era (Deemed to be University), Dehradun, India; mangeyram@gmail.com
Sylwia Werbińska-Wojciechowska, PhD, Associate Professor, Wroclaw University of Science and Technology, Poland; sylwia.werbinska@pwr.edu.pl


Instructions for Submission:
Please follow the instructions of the journal while preparing your manuscript. A guide for authors can be found at: https://www.springer.com/journal/13198/submission-guidelines
All papers should be submitted online using the online editorial system for the journal at: https://www.editorialmanager.com/ijsa/default.aspx. During the submission process, please select the SI:

S.I.: Systems Monitoring and Maintenance – new models, trends and applications in the context of IoT and Maintenance 4.0

All submitted papers will be rigorously peer-reviewed according to the regular high standards of the International Journal of System Assurance Engineering and Management.


Publication Schedule:
Manuscript submission deadline: 30 September 2022
First reviewer reports completed and returned: 30 October 2022
First revised paper submission: 30 November 2022
Second reviewer reports completed and returned: 15 December 2022
Second revised manuscript submissions: 30 January 2023
Final Decision:  15 February 2023
Publications dates: In the forthcoming issues of the Journal

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