Journal of Reliability Science and Engineering

Editor-in-Chief：Chang-Pu Sun
ISSN：3050-2454
Sponsored：
Institute of Systems Engineering of China Academy of Engineering Physics
University of Electronic Science and Technology of China
Hunan University
Beijing Institute of Structure and Environment Engineering
Publication frequency：Quarterly
E-mail：office@jrse.net

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Journal of Reliability Science & Engineering

ISSN：3050-2454 出版周期：Quarterly 期刊基本信息

最新刊期：2026年第1期

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Papers
A novel cross-domain open-set fault diagnosis model for distribution boxes in finishing rolling group

Yonglin Guo, Shihao Li, Tangbin Xia, Di Zhou, Ershun Pan

DOI：10.1088/3050-2454/ae4e31

摘要：As a critical link in the drive system of the finishing mill, distribution boxes play a vital role in rolling force transmission and distribution. Therefore, researching fault diagnosis for distribution boxes is essential for ensuring the security and reliability of process operation. However, when fault characteristics are indistinct and the fault type is unknown, traditional diagnostic methods may fail to provide reliable diagnosis. To address these challenges, this paper proposes a cross-domain open-set model that leverages adversarial learning to enhance feature representations under indistinct fault characteristics, and integrates distribution-based methods for identifying unknown faults. Considering the importance of feature representation for adversarial learning and unknown fault identification, we build an information-exchange feature extractor integrates depthwise separable convolution and GCN. This structure extracts depth features and addresses the channel independence limitation of traditional depthwise separable convolution. To identify unknown faults in distribution boxes, the saddle-point approximation (SPA) method is employed. This method is used during training to establish a distribution for each known class, and these distributions are utilized in testing to identify unknown samples. Unlike traditional methods for establishing distributions, the SPA method directly uses data without relying on predefined distribution assumptions or formulas. To verify the superiority of the proposed method, we conducted a comparative experiment based on historical fault data of distribution boxes. The results demonstrate that the proposed method achieves an accuracy of 94.13% and an H-score of 91.35%, which demonstrates the superior performance in classifying known faults and identifying unknown faults in distribution boxes.
关键词：fault diagnosis;open-set;adversarial network;finishing mill;distribution boxes

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更新时间：2026-04-14
Papers
A fuzzy cost driven framework for reliability allocation and redundancy analysis: a case study on a multi train evaporation system AI导读

Mohammad Rahman

DOI：10.1088/3050-2454/ae4e8e

摘要：Industrial process systems often struggle to achieve high availability due to complex interdependencies, limited redundancy, and rapidly escalating costs in high-reliability regimes. This study presents a reliability-centered design review for a wastewater treatment plant's evaporation system, combining reliability block diagram (RBD) modeling with a cost-sensitive reliability allocation framework. Two alternative configurations, series–parallel (equipment-level redundancy) and parallel–series (train-level redundancy) were evaluated. To address the absence of detailed cost data in early design, a dimensionless exponential cost index was developed to represent nonlinear cost escalation as reliability approaches practical limits. This index, derived from fuzzy linguistic ratings and defuzzification, was incorporated into a severity-effort-cost weighting scheme to cascade system-level reliability targets to subsystems and individual equipment. Application to the multi-train evaporation system shows that equipment-level redundancy improves overall system reliability by 11.45% over three months compared with train-level redundancy. The proposed allocation consistently prioritizes failure-prone equipment while avoiding over-investment in already robust units, producing reliability targets that are technically justified and economically rational. The integrated RBD and fuzzy cost-driven allocation framework provides a practical method for early-stage design and retrofit, guiding redundancy planning, focusing improvement actions where they yield the greatest reliability benefits, and enhancing operational resilience in complex engineered systems.
关键词：series–parallel configuration;k-out-of-n system;redundancy optimization;reliability allocation;cost-sensitivity

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更新时间：2026-04-14
Papers
Key technologies and engineering applications of digital simulation for reliability of aerospace products AI导读

Xinggao Zhu, Pengfei Liu, Jiahui Luan, Haibo Mi, Hao Dong, Hao Chen, Zhaopeng Xue, Haipeng Wen, Yongde Dai

DOI：10.1088/3050-2454/ae3c13

摘要：A theoretical system for digital modeling, decoupling, and prediction of the reliability for aerospace products is proposed in order to solve the problem of the reliability issues of aerospace ‘small sample’ products facing high-density launch missions under multi stress coupling. Key technologies such as digital modeling of the reliability of aerospace electromechanical products based on response surfaces, and digital decoupling analysis of reliability under multi stress coupling, and life reliability analysis of aerospace products under multi stress coupling have been overcome. Engineering applications have been carried out in aerospace machinery, electromechanical, and electronic products, achieving comprehensive level improvement of aerospace product support for aerospace equipment with ‘long life, high reliability, high precision, and high performance’.
关键词：aerospace products;performance and reliability;digital simulation;modeling;decoupling;prediction

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更新时间：2026-04-14