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Article
Engineering, Industrial
Linhan Guo et al.
Summary: This paper proposes a new availability model focusing on a multi-component series system considering suspended animation (SA) rules. Continuous-time Markov chains (CTMC) are used to avoid state explosion, and an effective algorithm for SA state transition rates is constructed. The relationships between state probabilities are used to derive metrics on reliability and availability. The model accuracy and algorithm efficiency are verified using actual engineering data and simulation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Serkan Eryilmaz et al.
Summary: This paper introduces a new generalized version of the delta-shock model, where the system fails if there are m shocks that arrive in a time length less than delta after a previous shock. The mean time to failure of the system is approximated for both discretely and continuously distributed intershock time distributions. The model is useful for studying 1-out-of-(m + 1):G cold standby system and numerical results are presented for different types of intershock time distributions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Shuyuan Gan et al.
Summary: In this study, a novel maintenance strategy is developed for multi-state systems operating exposed to changing environment states, and the system and environment can influence each other. A Markov decision process is formulated to model the problem, and a policy iteration algorithm is used to optimize the maintenance strategy. Numerical examples are provided to demonstrate the effectiveness of the proposed method, along with sensitivity analyses of parameters.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Enrico Zio
Summary: The paper discusses the impact of digital transformation on industry and emphasizes the importance of prognostics and health management methods for ensuring safety and reliability of structures and systems. The author highlights the advantages and application areas of PHM, while also pointing out key issues impeding the full deployment of PHM.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Xiao-Sheng Si et al.
Summary: This study applies BoxCox transformation to convert nonlinear degradation data into linear data, and then models the evolving process of the transformed data using the Wiener process. The model parameters are determined through a two-stage estimation procedure, and updated using Bayesian method and maximum likelihood estimation for prognostics.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Han Wang et al.
Summary: Degradation modeling and health assessment are crucial for predictive maintenance. This paper proposes a stochastic multi-phase modeling approach for multi-component systems. By analyzing the statistical properties of degradation branching processes, analytical expressions for system reliability and lifetime distribution are derived. The proposed methods are effective in handling complex degradation phenomena.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Aerospace
Venkatesh Muthusamy et al.
Summary: This paper discusses the development of a DPHM framework for a satellite attitude actuator system using a data-driven model to predict the remaining useful life of the system. The algorithm achieves an accuracy of 96.25% with 30% of data available for online prediction.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Engineering, Industrial
Zahra Saberzadeh et al.
Summary: The reliability of complex systems consisting of n independent elements, each with two dependent components, is investigated based on degradation data. A copula-based model is used to describe the dependence structure of the components. The reliability of a complex system is derived for different copula functions, considering gamma, Wiener, and inverse Gaussian processes for the degradation of each component. Reliability bounds are obtained by assuming positive association of components for special cases of series and parallel systems. A two-step method is proposed for estimating maximum likelihood estimators when model parameters are unknown. The performance of the estimators is evaluated through a simulation study, and the sensitivity of system reliability is analyzed using simulation. The results of the paper are illustrated using two real examples.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: Intensive research has been conducted on the reliability of standby systems in the past several decades. However, the existing models mostly neglect the bounded operation time of system units. In this study, we propose a model for a 1-out-of-n standby system with heterogenous units and develop an algorithm to evaluate and optimize the mission success probability (MSP) of the system. We also examine the impact of mission time and unit operation time limit on MSP using a case study of a water supply system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Computer Science, Information Systems
Fode Zhang et al.
Summary: This paper proposes a parameter estimation method that minimizes the f-divergence between two probability distributions and explores the statistical properties of the estimator. The effectiveness of the proposed method is demonstrated through a case study on degradation modeling and analysis of real data.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Chemistry, Analytical
Alexandra D. Tseni et al.
Summary: This work presents an optimization technique that determines inspection, warranty period, and preventive maintenance policies for degraded micromachines. The proposed mathematical model examines the impact of quality control on reliability and warranty duration, and integrates individual costs into a single measure to derive optimal parameters for quality and maintenance policies.
Article
Engineering, Industrial
Naipeng Li et al.
Summary: This paper proposes a RUL prediction method based on a multi-sensor data fusion model to improve prediction performance by prioritizing sensor selection and fusing multi-sensor data. The effectiveness of the method is demonstrated using simulation study and aircraft engine degradation data from NASA repository.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Automation & Control Systems
Naipeng Li et al.
Summary: This article proposes a multi-sensor data-driven RUL prediction method for semi-observable systems, leveraging degradation information from online multi-sensor signals as well as offline state observations. The method is developed based on a generalizable state-space model combined with a particle filtering framework, and an algorithm named prioritized sensor group selection is introduced to select the optimal sensor group for RUL prediction, demonstrating its effectiveness in an experiment of cutting tool wear.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Engineering, Industrial
Jian-Xun Zhang et al.
Summary: Standby redundancy technique is widely used to enhance system reliability. The study proposes an iterative method for lifetime estimation of standby systems with mixed spare-part degradation process, and establishes a joint optimization model to minimize costs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Chaonan Wang et al.
Summary: Cold standby sparing is a widely-used fault-tolerant technique where unpowered spare units are activated to replace malfunctioned on-line units. This paper proposes a fast and accurate reliability approximation method for heterogeneous 1-out-of-n cold standby systems with non-identical components, and verifies its accuracy and efficiency through comprehensive case studies. Results show that the proposed method can estimate the reliability of large-scale CSSs efficiently and accurately.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Sai Li et al.
Summary: In this study, a battery remaining useful life prediction model based on information fusion methodology is proposed, which combines particle filter and support vector regression to achieve accurate multi-step-ahead estimation of battery capacity and remaining useful life.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Xian Zhao et al.
Summary: This paper introduces a joint optimization model that combines component switching and mission abort policies to balance the trade-off between mission success probability and system survivability, minimizing total economic loss. A numerical study on a virtual machine system is conducted to demonstrate the effectiveness of the model.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Xiaoyang Ma et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Engineering, Industrial
Qiuzhuang Sun et al.
Article
Computer Science, Hardware & Architecture
Biao Wang et al.
IEEE TRANSACTIONS ON RELIABILITY
(2020)
Article
Engineering, Industrial
Rui Li et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Engineering, Industrial
Jian-Xun Zhang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Computer Science, Hardware & Architecture
Jian-Xun Zhang et al.
IEEE TRANSACTIONS ON RELIABILITY
(2019)
Review
Engineering, Mechanical
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2018)
Article
Statistics & Probability
Wei-an Yan et al.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
(2017)
Article
Automation & Control Systems
Xiao-Sheng Si et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2014)
