Special Issue "Entropy for Characterization of Uncertainty in Risk and Reliability"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (15 December 2017).
Interests: probabilistic risk assessment; reliability modeling of complex systems; probabilistic physics of failure; uncertainty analysis; structural integrity and reliability assessment; entropic aging; degradation and damage
Mechanical Engineering Department, University of Chile, Santiago, Chile
Interests: reliability of complex systems; deep learning methods in fault diagnosis and prognosis; big data analytics in predictive maintenance; uncertainty analysis
Special Issues and Collections in MDPI journals
When performing a risk or reliability analysis, fundamentally, one is interested in identifying, at some level of conﬁdence, the range of possible and probable values of the unknown of interest, such as the probability of an event or amount of damage and degradation. Usually, the system or process under analysis cannot be characterized completely due to the lack of knowledge concerning the underlying phenomena, which results in epistemic uncertainty.
In the past, uncertainty characterization in risk and reliability has been addressed based on different approaches, such as the frequentist principles, Bayesian thinking, possibilistic theory, and fuzzy logic. In this context, entropy has emerged as a promising approach due to its flexibility in representing uncertainty based on a multitude of evidence types as well as on different domains of application. In particular, information entropy, maximum entropy and thermodynamic entropy have been the focus of recent and current research clearly indicating the enormous scope and potential of entropy based uncertainty characterization and applications to several fields, such as structural integrity, prognostics and health management, reliability and maintenance engineering in the light of big data, and Internet of Things based system health monitoring and management.
This Special Issue invites contributions in the field of "Entropy Based Uncertainty Characterization in Risk and Reliability". The Guest Editors seek submissions with an original perspective and advanced thinking on this topic and related issues. Novel and original papers on theoretical development and their applications should include, but not be limited to, the following:
Probabilistic Physics of Failure
Prognostics and Health Management
Degradation and Damage Modeling
Risk, Reliability and Maintenance Modeling
Entropy Theory of Aging
Prof. Dr. Mohammad Modarres
Assoc. Prof. Enrique López Droguett
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.