About the Journal
Aim & Scope
Reliability: Theory & Applications (ISSN 1932-2321) is an international peer-reviewed journal dedicated to advancing both the theory and practice of risk analysis and reliability engineering. Its primary aim is to publish high-quality research that contributes to the safe, secure, and reliable design and operation of engineering systems across all industrial sectors, bridging foundational knowledge with practical application.
The journal's scope encompasses a broad spectrum of topics, including systems reliability assessment, risk analysis methods, accelerated testing, operations research, and uncertainty analysis. It welcomes theoretical, methodological, and applied contributions, with a distinct preference for clear, practical relevance. The publication covers original research, reviews, and case studies, maintaining rigorous ethical standards as a fee-free, open-access journal.
Serves to the world community of experts in the topic to spread important current information about International meetings, Conferences,, Financial support for young researchers and students, etc. It also publishes selected volumes of previously prepared articles on talks, presented at suche Internationl events.
Open Access Policy
Proceedings on Engineering Sciences is an open access journal which means that the content is freely available without charge to the user or his/her institution. All papers are licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0) license, which allows users to distribute, remix, adapt, and build upon the material in any medium or format for non-commercial purposes only, and only so long as attribution is given to the creator.
Copyright Agreement
Authors transfer the copyright and the associated rights along with it to the Reliability: Theory & Applications after receiving the acceptance decision from the Editor. This enable us (Reliability: Theory & Applications) to have the rights to the paper in order to ensure copyright protection against infringerment, and to disseminate your article, and our journal, as wide as possible.
Article Processing Charge (APC)
Reliability: Theory & Applications does not use any Article Processing Charges (APC) or any other author charges. There are no fees for rejected articles, no submission charges, and no surcharges based on the length of an article, figures or supplementary data.
Introduction Requirements & Desk Reject Criteria
1. Mandatory Structure of the Introduction Section
The Introduction section of the submitted manuscript must explicitly contain the following logically interconnected elements. The absence or unclear formulation of any of these is considered a significant flaw and constitutes grounds for rejection or a request for major revision prior to the peer review stage.
-
Research Motivation. A clear justification of the relevance and the practical or theoretical significance of the problem being addressed. The author must answer the question: "Why is this research important and necessary?"
-
Critical Literature Review and Statement of Novelty. A concise analysis of key works directly related to the article's topic, highlighting unresolved questions or limitations of existing approaches. Against this background, the scientific novelty of the proposed method, model, approach, or experiment must be unambiguously defined.
-
Clear Statement of Contribution. A specific and verifiable description of the main results of the work. The contribution must be stated explicitly (e.g., "This paper proposes a new mathematical model..."; "We demonstrate the correct application of model X for analyzing a new class of systems Y..."; "It is experimentally established that..."). Statements regarding the contribution must directly correspond to the claimed novelty.
2. Desk Reject Policy
The Editor-in-Chief reserves the right to reject a manuscript at the initial stage, without sending it for peer review or assigning an Associate Editor, in the following cases:
-
Out of Scope: The article's topic is clearly misaligned with the journal's aims, scope, and subject area, or is irrelevant/outdated.
-
Insufficient Novelty or Quality: The work fails to meet basic standards of scientific novelty, significance, or presentation quality (including structure, clarity, and adherence to the requirements for the Introduction section outlined above).
-
Publication Ethics Violations: Detected plagiarism (including self-plagiarism, text recycling without proper citation), duplicate publication, or simultaneous submission to multiple venues.
-
Formal Violations: The manuscript is incomplete, significantly exceeds the stipulated length limit, or does not comply with the basic formatting requirements set in the "Author Guidelines".
Note: If a decision is made to request a Major Revision after the peer-review stage, only one round of major revision is permitted. A manuscript resubmitted after revision that still fails to address the key concerns of the reviewers and editors will be rejected.
Current Issue
Vol. 21 No. 1 (2026): Reliability: Theory & Applications
This issue of Reliability: Theory & Applications (RTA), Vol. 21, No. 1 (90), March 2026 encompasses both fundamental mathematical methods — such as adaptive numerical techniques for Markov chains, queueing theory, and Bayesian and nonparametric approaches — and their practical applications across a wide spectrum of industries, ranging from railway transport and energy to pharmaceuticals and consumer behavior analysis.
A key feature of this issue is its emphasis on innovative approaches to data processing under conditions of uncertainty. The authors actively employ fuzzy logic to enhance survival estimates in medical research and to refine quality control methods. The issue also presents studies on the modeling of complex technical systems, including fault tolerance analysis of IoT systems in smart grids, optimization of power supply systems, and wind energy installations. Several articles are dedicated to the development and comparison of adaptive control charts and accelerated reliability testing methods.
Considerable attention is given to the advancement of statistical tools: new distributions (such as the generalized weighted Sujatha distribution and transformations of the exponential distribution) are proposed, along with parameter estimation methods for censored and masked data. The presented research demonstrates the integration of classical reliability theory with modern machine learning techniques, including neural network modeling for the safety management of critical infrastructure and ensemble learning methods for high-dimensional data.
The diversity of topics covered — from the optimization of production systems to the analysis of consumer behavior in the digital environment — underscores the versatility of probabilistic methods and their relevance for addressing contemporary technological and socioeconomic challenges.
Published:
2026-03-28
