[Iefac.list] FW: IJPHM special issue on "Advanced Diagnostics and Prognostics for Automotive Systems"

[Shiyu Zhou]

Below is a call for papers for a new special issue at the International Journal of Prognostics and Health Management. Please feel free to share this information with who may be interested.

Call for Papers
Special Issue of International Journal of Prognostics and Health Management
Advanced Diagnostics and Prognostics for Automotive Systems

This special issue focuses on theory and application of diagnostics and prognostics (DnP) analytics and methods for condition monitoring, anomaly detection, and health management of automotive systems. With elevated system complexity in electrified powertrains, connected vehicles, and automated driving, new DnP analytics and technologies will support accurate and reliable estimation and predictions of state of health for these complex vehicular systems. The increased capability of the vehicle to exchange data with passengers, surrounding infrastructure, and other vehicles has been both an enabler and provide motivation for developing advanced vehicle health management (VHM) features. Robust VHM systems can mitigate degradation of vehicle components by shifting operating points and even enable reconfigured operation until repairs can be made. At the same time, the development cycle for these new and more complex systems needs to be shortened in order to reduce development cost.

Recent advances in systems and analytics tools such as machine learning and cloud-based computation can leverage the classic model based DnP algorithms to address the complexities, and performance requirements of future VHM systems. Extensive researches have been done to analyze and predict performance of machine learning algorithms that is required for reliable modeling, estimation, and detection algorithms. Re-configurable and stochastic reinforcement learning techniques have also been successfully utilized in recent research to mitigate degradation in autonomous systems. Still, much work is needed to ensure robust performance of the vehicle with any newly developed component and algorithm. This call for papers encourages researchers to share their novel and recent results in addressing advanced diagnostics and prognostics in automotive system. Articles addressing recent developments on the following topics are solicitated, but not limited to:

*                DnP algorithms and methods for vehicle components such as propulsion, chassis, and electrical systems

*                DnP systems and methods for automated driving systems and connected vehicles

*                Fault mitigation for robust performance of vehicular systems

*                DnP systems for advanced automotive manufacturing processes

*                Emerging machine learning and verification techniques and their application in vehicle health management

*                Physics of failure mechanisms and modeling and simulation techniques

Key dates:
Abstract Due: January 15, 2022.
Full Paper Due: April 30, 2022.

Team of Guest Editors for the special issue:
Dr. Yilu Zhang, General Motors Research and Development, Warren, MI, US, yilu.zhang at gm.com<mailto:yilu.zhang at gm.com>
Dr. Xiaodong Jia, Research Assistant Professor, University of Cincinnati, Cincinnati, US, jiaxg at ucmail.uc.edu<mailto:jiaxg at ucmail.uc.edu>
Dr. Rasoul Salehi, General Motors Research and Development, Warren, MI, US, rasoul.salehi at gm.com<mailto:rasoul.salehi at gm.com>
Dr. Jason Siegel, Associate Research Scientist, University of Michigan, Ann Arbor, MI, US, siegeljb at umich.edu<mailto:siegeljb at umich.edu>
Dr. Shiyu Zhou, Vilas Distinguished Achievement Professor, University of Wisconsin, Madison, US, szhou at engr.wisc.edu<mailto:szhou at engr.wisc.edu>

Submission Instructions:
Please submit your manuscripts (abstracts or full paper drafts) at the IJPHM website  https://papers.phmsociety.org/index.php/ijphm/about/submissions. Use the section "Comments for the Editor" to indicate that the article is being considered for publication in the Special Issue on Advanced Diagnostics and Prognostics for Automotive Systems.

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