最新刊期
卷 1 ， 期 1 ， 2025
- “In the field of reliability engineering, this article presents a systematic review of mission abort policy (MAP) research, classifying and reflecting on recent intensive research on mathematical modeling, analysis, and optimization of diverse types of MAPs for both single-attempt and multi-attempt mission systems. It outlines potential directions for advancing the state of the art and the state of practice on MAPs, which plays a crucial role in managing the risk of system losses while ensuring a desired level of mission success probability for critical systems.”摘要：A mission abort policy (MAP) establishes clear, non-ambiguous criteria that define specific system deterioration conditions for discontinuing a primary mission and initiating a rescue procedure (RP) to survive a valuable system performing the mission. A too-late mission abort can incur low system survivability while a too-early abort may unnecessarily compromise mission success probability (MSP). An optimal MAP should strike a balance between these two performance metrics. Therefore, the optimal design of MAPs plays a crucial role in managing the risk of system losses while ensuring a desired level of MSP for critical systems. This article presents a systematic review of MAP research in reliability engineering, classifying and reflecting on the recent intensive research devoted to the mathematical modeling, analysis and optimization of diverse types of MAPs for both single-attempt and multi-attempt mission systems. Potential directions for advancing the state of the art and the state of practice on MAPs are also outlined.关键词：expected mission losses;mission abort policy;mission success probability;multi-attempt;random shock;rescue procedure;system survivability169|7|0更新时间：2025-08-22
- “Reporting on the latest advancements in equipment reliability technology, accelerated testing (AT) has emerged as a pivotal research area. Experts have established the AT technical system, which offers solutions to address the challenges of achieving high reliability and extended service life in critical equipment and major projects. This development paves the way for future research directions in modeling and analysis techniques related to ATs.”摘要：High reliability and long service life have become the development goals and urgent needs of equipment research and development, especially for important equipment and major projects, which put forward new challenges to the traditional reliability technology. As an effective means to support the high reliability and long life of equipment, accelerated testing (AT) technology has become a hot research topic. On the basis of AT application demand analysis, the technical system of AT is proposed. The current state of research on modelling and analysis methods for AT is reviewed and analysed from five aspects: modelling and analysis of accelerated life tests (ALTs) with a single failure mode, modelling and analysis of accelerated degradation tests (ADTs) with a single failure mode, modelling and analysis of ALTs with multi-failure modes, and modelling and analysis of ADTs with multi-failure modes. And finally, future research directions for techniques related to modelling and analysis of ATs are envisioned.关键词：accelerated test;modelling analysis;accelerated life test;accelerated degradation test;reliability141|13|0更新时间：2025-08-22
Topical Review
- “In the field of reliability and risk, this paper continues the theoretical research project initiated by the Russian school. It describes the decreasing reliability of the system using Boltzmann-like entropy, revealing various trends based on the system's structure and behavior. The paper also discusses the bathtub curve, which shapes the features typical of infancy, maturity, and senility of systems, and adds annotations on the actual states of engineering and biological systems.”摘要：A scientific discipline is not formed by philosophical and generic commentaries; it looks like a building consisting of solid bricks that are precise principles and mathematical laws. Reliability and risk problems embody a new science whose foundations were initiated by the Russian school, and this inquiry means to continue that theoretical research project. Here we address broad topics that are waiting to be carried out. More precisely, this paper describes the decreasing reliability of the system by means of the Boltzmann-like entropy, which yields various trends depending on the structure and behavior of the system. The features typical of infancy, maturity and senility of systems shape the bathtub curve. Annotations on the actual states of the engineering and biological systems are added.关键词：system reversibility and irreversibility;system degradation;Boltzmann-like entropy;Weibull distribution;Gompertz distribution;bathtub curve62|0|0更新时间：2025-08-22
- “In the field of reliability science and engineering, this paper presents innovative methods for analyzing, assessing, and managing reliability and risk to enhance safety. Expert researchers have established a framework for accident scenario identification and exploration, exploited monitoring data for dynamic updating of reliability and risk assessment, and extended the risk assessment framework to resilience, laying a foundation for the construction of a more robust safety system.”摘要：Reliability science and engineering are fundamental for guaranteeing the safe functioning of systems and products. Indeed, the risk of failure can be complex to assess and manage. Modes of failures and scenarios of accidents must be imagined and postulated, and evaluations of occurrence probabilities and consequences must be performed in the presence of uncertainties, possibly very deep. The outcomes of the evaluations inform decisions to prevent failures and undesired events and, were they to occur, mitigate and recover from their consequences. On the other hand in this world in continuous transition to meet the numerous and increasingly challenging objectives of reliability, efficiency, safety, sustainability etc, the innovations that are being developed for better-being and more benefits for all, also deepen the uncertainty related to new and unknown hazards and dangers. This calls for innovative methods of analysis, assessment and management of reliability and risk for enhanced safety. In this paper, directions of development are presented, including the use of simulation for accident scenario identification and exploration, the exploitation of monitoring data for the dynamic updating of reliability and risk assessment towards condition monitoring-based risk assessment, and the extension of the framework of risk assessment to resilience.关键词：reliability science and engineering;risk assessment and management;simulation;condition-based risk assessment;resilience58|0|0更新时间：2025-08-22
Perspective
- “Industry 5.0 (I5.0) is anticipated to enhance the role and application of Artificial Intelligence (AI). This work provides an overview of issues to be addressed for AI to support the development of reliability and maintenance engineering for I5.0. Three use cases of AI development opportunities are discussed, which align with the EU vision of AI enhancements for I5.0: integrating diverse data, combining expert knowledge with AI, and causality-based AI. These use cases demonstrate the potential for advanced AI solutions in I5.0 and highlight the need for multidisciplinarity, experience, and continuous training to seize opportunities and manage AI-related risks.”摘要：The Industry 5.0 (I5.0) paradigm is expected to further boost the relevance and widespread application of Artificial Intelligence (AI). The actual contribution that it can bring is challenged by current technology, scientific contexts and trends. The objective of this work is to provide an overview of some of the issues that need to be tackled for AI to support the development of reliability and maintenance engineering for I5.0. Three use cases of AI development opportunities are discussed, which are fully compliant with the EU vision of AI enhancements for I5.0: lumping together data of different origins and scales, expert knowledge combined with AI, and causality-based AI. These use cases show that there is room for advanced and successful AI solutions for I5.0, and allow identifying three main elements required to grasp opportunities while identifying, preventing and mitigating risks related to AI development: multidisciplinarity, experience and continuous training.关键词：artificial intelligence;industry 5.0;maintenance111|19|0更新时间：2025-08-22
- “In the field of uncertainty propagation, this study introduces its research progress. Expert proposed a novel adaptive UP method based on the artificial neural network (ANN), which provides solutions to solve the problem of accurate and efficient UP in engineering applications.”摘要：Uncertainty propagation (UP) is a crucial aspect for assessing the influence of input uncertainty on structural responses, holding substantial significance in engineering applications. However, achieving accurate and efficient UP remains challenging, particularly for structures characterized by high nonlinearity and multiple outputs. This study addresses this challenge by proposing a novel adaptive UP method based on the artificial neural network (ANN). In the proposed method, the mean of outputs is analytically derived using the ANN, enabling direct computation of the mean through the weight and bias vectors of the network. An innovative approach is established for solving the standard deviation of outputs, employing several univariate integrals instead of multivariate integrals. The established analytical and univariate integral techniques effectively mitigate post-processing errors commonly encountered when using numerical simulation techniques to estimate the statistical moments of outputs within the ANN context. Furthermore, an adaptive framework is presented, incorporating input space division and an adjustable multi-point addition strategy to enhance computational accuracy in structural UP. Various applications, including highly nonlinear scenarios, multiple outputs, and cases involving finite element models, are presented to demonstrate the effectiveness of the proposed method. The results indicate that the proposed method not only provides accurate estimations of statistical moments but also offers effective estimations of the probability density function of structural outputs.关键词：uncertainty propagation;artificial neural network;analytical results;univariate integral;adaptive framework85|14|0更新时间：2025-08-22
- “In the field of reliability engineering, Bayesian model updating (BMU) is a crucial challenge. Expert researchers have developed a family of new acquisition functions with closed-form expressions to accelerate the approximate Bayesian quadrature for addressing the BMU problem with the desired level of accuracy. This provides a better trade-off between exploration and exploitation, achieving high accuracy and efficiency.”摘要：The calibration of computational models using experimental or operational data to achieve accurate predictions is widely recognized as a crucial challenge in reliability engineering. Bayesian model updating (BMU) has been developed as an appealing methodological framework to achieve this goal, but existing methods range from very approximate but cheap (e.g. Laplace approximation and conjugate priors), less approximate and a bit cheaper (e.g. approximate Bayesian computation), to quite expensive and highly informative techniques such as full Bayesian computation. The goal of this work is to achieve full Bayesian accuracy at a low cost. The approximate Bayesian quadrature has emerged as a highly appealing scheme to achieve this goal. In this work, we develop a family of new acquisition functions with closed-form expressions to accelerate the approximate Bayesian quadrature for addressing the BMU problem with the desired level of accuracy. The proposed method leverages information revealed by both the mean predictions and the posterior covariance of the probabilistic regression model trained for approximating the likelihood function. It thus provides a better trade-off between exploration and exploitation. Results from both numerical and engineering examples show that the proposed method is applicable to multimodel problems, achieving high accuracy and efficiency.关键词：Bayesian model updating;approximate Bayesian quadrature;Gaussian process regression;acquisition function;active machine learning145|2|0更新时间：2025-08-22
- “Quantum sensing technology, leveraging quantum effects like entanglement and coherence, measures physical signals. This study introduces quantum reliability as a metric to assess sensor performance without needing a true value. It establishes a relationship among reliability, sensitivity, and systematic error, demonstrating it in a magnetic field measurement process using a spin-1/2 particle and Stern-Gerlach apparatus. This research opens new perspectives for reliability analysis in quantum systems.”摘要：Quantum sensing utilizes quantum effects, such as entanglement and coherence, to measure physical signals. The performance of a sensing process is characterized by error which requires comparison to a true value. However, in practice, such a true value might be inaccessible. In this study, we utilize quantum reliability as a metric to evaluate quantum sensor's performance based solely on the apparatus itself, without any prior knowledge of the true value. We derive a general relationship among reliability, sensitivity, and systematic error, and demonstrate this relationship using a typical quantum sensing process. That is to measure magnetic fields (as a signal) by a spin-1/2 particle and using the Stern–Gerlach apparatus to read out the signal information. Our findings illustrate the application of quantum reliability in quantum sensing, opening new perspectives for reliability analysis in quantum systems.关键词：quantum reliability theory;reliability analysis;error analysis;reliability of quantum sensor;reliability of measurement apparatus90|5|0更新时间：2025-08-22
- “In the field of building-integrated photovoltaics, solar pavement has emerged as an innovative form of technology. Expert xx proposed a Genetic Algorithm with Munkres Assignment Tuning to determine the Pareto optimality of the reconfiguration design and enhance the systems reliability through minor adjustments, laying a foundation for the construction of solar pavement systems.”摘要：Solar pavement has emerged as an innovative form of building-integrated photovoltaics. Reliability analysis and reliability-based optimal design for solar pavement are infrequent. This research represents the pioneering investigation into the optimal reconfiguration design for solar pavements, considering the interchangeability of solar floor tiles amidst competing risks. A Genetic Algorithm with Munkres Assignment Tuning is proposed to initially determine the Pareto optimality of the reconfiguration design and subsequently enhance the systems reliability through minor adjustments. A comprehensive case study for solar floor tiles with total-cross-tied topology is presented to showcase the main idea.关键词：solar pavement;reliability-based optimal design;optimal reconfiguration design;solar floor tiles;competing risks;Munkres assignment71|0|0更新时间：2025-08-22
Papers
-
Co-allocation of reliability-redundancy, spare parts and spacecraft trajectory for lunar habitation AI导读
“In the field of lunar habitation base deployment and operations, this paper introduces a synergistic approach for optimizing reliability-redundancy, spares inventory, and spacecraft trajectory in the cislunar space. Expert xx established the redundancy-sparing-trajectory allocation model, which provides solutions to solve the complex and costly Earth-Moon logistics problems and lays a foundation for the construction of a long-term human habitat on the Moon.”摘要：The complex and costly Earth–Moon logistics necessitates an innovative reliability paradigm to support the deployment and operations of lunar habitation base. To lay the groundwork for the new paradigm, this paper introduces a synergistic approach for optimizing reliability-redundancy, spares inventory, and spacecraft trajectory in the cislunar space. We propose a two-phase planning model to guide the establishment of a long-term human habitat on the Moon. Phase 1 allocates subsystem redundancy and base stock level to meet the reliability and availability goal at low mass cost. Phase 2 optimizes spacecraft fuel type, propellant mass and trajectory to minimize the total launch mass, including the habitat and spare parts of Phase 1. Notably, random spares demand, prolonged resupply, and limited transfer orbits are considered, making it first of its kind in co-optimizing redundancy, spares, rocket staging, and flight route. The redundancy-sparing-trajectory allocation model is demonstrated on the cislunar network with nine nodes and 23 velocity changes. Numerical study shows there exists a strong interdependence of launch mass, inventory lead time, transfer orbit, velocity change, and specific impulse. This study makes an early attempt to integrate space logistics theory into reliability and maintenance planning, potentially opening a new research direction for deploying reliable and cost-effective crewed bases in deep space.关键词：reliability-redundancy allocation;spare parts;space logistics;rocket staging;life support system47|0|0更新时间：2025-08-22 -
Theory and application of possibility and evidence in reliability analysis and design optimization AI导读
“In the field of engineering system design, this paper comprehensively analyzes the existing methodologies, challenges, and opportunities in managing uncertainty. Expert xx reviewed the concepts and practical applications of possibility and evidence theories, laying a foundation for the construction of a more robust engineering system.”摘要：Numerous design optimization methodologies and reliability analysis techniques have been developed to address aleatory and epistemic uncertainties in engineering system design. Aleatory uncertainty is modeled by statistical distributions, while epistemic uncertainty becomes an alternative in cases where data is sparse and cannot be fully captured statistically. Possibility and evidence theories are computationally efficient and robust for quantifying epistemic uncertainty in reliability analysis and design optimization. This paper provides a comprehensive analysis of existing methodologies, challenges, and opportunities in managing uncertainty in engineering systems. Additionally, the concepts and practical applications of possibility and evidence theories are reviewed. Potential future research directions are outlined ultimately. This paper provides the sector with a clear understanding of possibility theory and evidence theory and their developments.关键词：possibility theory;evidence theory;uncertainty;reliability;design optimization73|17|0更新时间：2025-08-22
- Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19
京公网安备11010802024621 - It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
- Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
0