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Article
Engineering, Industrial
Xian Zhao et al.
Summary: This paper focuses on the optimization of condition-based mission abort policies and system structure in a work system with random task arrivals. Different decision criteria are considered and corresponding abort policies are proposed. Mission reliability and system survivability are derived using recursive methods, and the objective is to minimize the expected total cost while balancing mission reliability and system survivability by jointly optimizing the abort policies and system structure.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Guoqing Cheng et al.
Summary: This paper presents a joint optimization approach for inspection and condition-based mission abort policy in a partially observable safety-critical system. A hidden continuous-time Markov process is used to model the system deterioration, and the condition monitoring can only provide partial information about the system's hidden state. The joint inspection and mission abort policy is developed by employing a multi-variate Bayesian control approach. The posterior probability of the system being in the warning state is updated at each inspection using Bayes' rule. The mission is aborted and the rescue procedure is initiated when the posterior probability exceeds the control limit. The problem is formulated and solved within the framework of Markov decision process, aiming to minimize the expected total cost including inspection, mission failure, and system failure cost. The paper also presents some structural properties of the control limit and provides numerical examples to demonstrate the proposed model's effectiveness.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Computer Science, Information Systems
Liudong Xing et al.
Summary: With the rapid development of the Internet of Things (IoT), unmanned aerial vehicles (UAVs) are playing an increasingly important role in military and civil applications. This article reviews the reliability literature of UAVs, highlighting failure causes and challenges, as well as discussing modeling, analysis, and design methods for UAV systems and subsystems. It also presents open research problems and opportunities for designing reliable and resilient UAVs and UAV-assisted IoT systems.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Hardware & Architecture
Qingan Qiu et al.
Summary: This study investigates the mission abort policies of safety-critical mission-based systems, such as aircraft and submarines, to enhance their survivability. The mission abort decisions are considered in a two-stage degradation process, aiming to minimize the expected total cost of mission failure and system failure. The study also evaluates heuristic policies and formulates a joint optimization problem to determine the optimal mission abort policy and investment for delaying system deterioration.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: For systems operating in random environments, the mission abort policies have been studied to balance the mission success probability and system survival probability. Among these studies, little attention has been given to multi-threshold mission abort policies where different numbers of shocks are acceptable in different time intervals. In this work, the mission abort policy is extended to include a non-monotonic threshold function and a probabilistic method is proposed to evaluate the system's success and survival probabilities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Xian Zhao et al.
Summary: This paper investigates risk evaluation and control policies for unmanned vehicle systems during mission execution and rescue phases. It proposes two-level rescue depot location policies and dynamic rescue policies, including mission abort and maintenance policies, to reduce failure risk. The proposed policies are demonstrated to be superior through a case study of a UAV system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Lujie Liu et al.
Summary: Mission abort is an effective action to prevent catastrophic accidents and improve the survivability of safety-critical systems. Existing research mainly focuses on single equipment abort policies and neglects the swarm aspect. The complexity of swarm operations and the curse of dimensionality necessitate a dynamic mission abort policy for both equipment and swarm levels. A deep reinforcement learning approach with an action mask method is proposed to optimize the policy and overcome the curse of dimensionality.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: Active redundancy is effective but costly for improving mission success probability. This paper proposes an optimization problem to minimize the expected mission cost by determining the component activation policy (CAP) in a multi-attempt active redundancy system. Analytical and recursive methods are suggested to evaluate the expected mission cost, and a genetic algorithm is implemented for the optimization problem. A case study of unmanned aerial vehicles performing a multi-attempt mission is conducted to examine the impacts of model parameters on the expected mission cost and optimal CAP.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: Mission abort policies for both single-attempt and multi-attempt missions have been investigated. This paper advances the state of the art by modeling systems performing a mission with multiple tasks. The proposed solution method is demonstrated using a case study of an unmanned aerial vehicle performing a five-task surveillance mission.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: This paper discusses the modeling and optimization of mission aborting rules (MARs) for multistate systems with product storage, aiming to maximize the mission success probability (MSP) while meeting a desired level of damage avoidance probability (DAP). A numerical algorithm is proposed to evaluate the MSP and DAP of the system, and a constrained optimization problem is formulated and solved to find the optimal MAR. The study also investigates the influences of storage capacity, storage performance constraints, and desired DAP level on system performance metrics and MAR optimization solutions using a power system example.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Public, Environmental & Occupational Health
Xian Zhao et al.
Summary: This article proposes a condition-based mission abort policy for safety-critical systems. The policy terminates a mission and initiates a rescue procedure immediately if the system state is worse than a control limit. The article evaluates mission reliability and system survivability to analyze the risk of mission failure and system failure. It also explores the optimal mission abort threshold and the joint optimization of mission abort and protective device selection policies.
Article
Engineering, Industrial
Rui Yan et al.
Summary: This paper explores the optimal routes and aborting strategies of trucks and drones under random attacks. By considering time windows, aborting strategies, and random attacks, the shortcomings of drones are addressed, and a preliminary survey is conducted in the field of emergency management or military. The proposed ALNS-SP algorithm combines adaptive large neighborhood search and short-path algorithm to solve the vehicle routing problem, and comparative experiments are conducted.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Bing Liu et al.
Summary: The research investigates methods to enhance the survivability of phased task systems, focusing on optimizing preventive maintenance policies and condition-based task termination. Dynamic decisions on preventive maintenance and task termination are considered based on internal degradation and number of completed phases to minimize the costs of failure and system failure.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Mathematics
Ke Chen et al.
Summary: This paper focuses on the optimal adaptive maintenance and task abort strategies for continuously degraded systems, considering two types of time redundancy. It evaluates the task success probability and system survival probability using an event-based numerical algorithm. The study investigates the optimal imperfect maintenance and task abort thresholds dynamically in each attempt to minimize the expected total cost of maintenance, task failure, and system failure.
Article
Automation & Control Systems
Gregory Levitin et al.
Summary: This article focuses on condition-based mission abort rules for nonrepairable work-sharing systems, proposing a probabilistic model algorithm to evaluate performance metrics and optimizing the mission abort rules using a genetic algorithm. The research is demonstrated through an example of a chemical reactor system, showing the application of the algorithm and the benefits of optimized MAR policies compared to the "no abort" policy and the most conservative abort policy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: This paper introduces a new shock-based abort policy model for multi-attempt missions. The model allows for different subsets of components and abort policies to be chosen for each attempt, and uses genetic algorithm for optimization. The effectiveness of the proposed model and solutions are illustrated through a detailed case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Xian Zhao et al.
Summary: This paper studies the optimal mission abort and allocation of standby components policies for the k-out-of-(n+m):F system considering partial mission loss. By dynamically controlling the mission abort decision and using a recursive algorithm to calculate mission reliability and system survivability, the paper aims to minimize the expected cost and balance the mission reliability and the system survivability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Qingan Qiu et al.
Summary: This paper investigates optimal mission abort policies for systems with continuous degradation considering two types of time redundancy. Dynamic mission abort decisions are considered based on the degradation level and mission attempts, aiming to minimize the expected total cost of mission failure and system failure while improving mission reliability and system survivability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Management
Xian Zhao et al.
Summary: This paper investigates condition-based mission abort policies to balance mission reliability and system survivability. Degradation control limit and time threshold are dependent on duration in the normal stage. Structural properties of optimal abort thresholds are explored to minimize costs of mission and system failure.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Industrial
Xiaoning Zhu et al.
Summary: This paper investigates the optimal routing, aborting, and hitting strategies of UAVs executing hitting tasks, taking into consideration factors such as time window, target defense range, and optimal bomb and fuel loads. The study aims to assign targets to each UAV, determine hitting order, and reduce the probability of UAVs being destroyed by allowing UAVs to abort tasks based on hits and shocks suffered. By optimizing fuel and bomb loads and using tabu search algorithm, the study successfully achieves two objectives simultaneously.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: This paper models a dual-unit standby system with non-identical units, formulating a constrained optimization problem to determine the joint RMS and mission abort policy. The study shows that both the RMS and mission abort threshold parameters adopted significantly affect the mission success probability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: The paper introduces an optimal mission abort policy that minimizes expected costs due to inspections, mission failure, and system loss. The system operates in a random environment modeled by a renewal process of shocks, where the decision to abort or continue operation depends on experienced shocks and the state of the system revealed only at inspections. The cost minimization problem is formulated with detailed numerical illustrations and discussions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: The paper explores the possibility of multiple attempts for multistate systems, focusing on maximizing mission completion probability by repairing systems to 'as good as new' state after each rescue. The study finds that missions are aborted when the number of experienced shocks exceeds a predetermined threshold, and the number of attempts should be determined to maximize the success probability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Congshan Wu et al.
Summary: This paper investigates the optimal mission abort policy for the k-out-of-n: F balanced system performing a specific mission continuously. Probability indexes and optimization models are derived, with a case study provided to demonstrate the results.
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
Gregory Levitin et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Public, Environmental & Occupational Health
Gregory Levitin et al.
Article
Engineering, Industrial
Qingan Qiu et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Review
Robotics
Fletcher Thompson et al.
JOURNAL OF FIELD ROBOTICS
(2019)
Article
Engineering, Industrial
Gregory Levitin et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2019)
Article
Engineering, Industrial
Jingyu Sheng et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2019)
Article
Engineering, Industrial
Qiu Qingan et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2019)
Article
Engineering, Industrial
Qingan Qiu et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2019)
Article
Public, Environmental & Occupational Health
Gregory Levitin et al.
Article
Computer Science, Hardware & Architecture
Gregory Levhitin et al.
IEEE TRANSACTIONS ON RELIABILITY
(2018)
Article
Engineering, Industrial
Gregory Levitin et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2018)
Article
Engineering, Industrial
Gregory Levitin et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2018)
Article
Computer Science, Hardware & Architecture
Albert Myers
IEEE TRANSACTIONS ON RELIABILITY
(2009)
