Related references
Note: Only part of the references are listed.
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, 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
Automation & Control Systems
Li Yang et al.
Summary: This article explores how to design mission abort policies in order to balance the possibility of mission success and system survivability in a mission environment. By considering the degradation degree of monitored health features and system age, operators can abort the mission at early system ages if the degradation reaches a preset control limit. The performance of some heuristic abort policies is analyzed for comparison. The contribution of this article lies in scheduling mission abort plans that utilize both condition monitoring and age information, which enhances the timeliness and robustness of risk control. A case study on inertial navigation systems of UAV executing line inspection missions is used to demonstrate the applicability and superiority of the proposed abort policies.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
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
Computer Science, Interdisciplinary Applications
Siqi Wang et al.
Summary: This article discusses the reliability issues of balanced systems in engineering fields and proposes a novel mission abort policy to adapt to the characteristics of such systems. The policy considers multiple abort criteria, including the maximum component state distance and the number of damaged components.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
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
Engineering, Industrial
Gregory Levitin et al.
Summary: The study explores the balance between mission success probability and system loss probability in the case of mission aborts with the possibility of multiple attempts, showing the potential benefits of aborting the mission even when there are no constraints on system survivability and only mission completion is considered.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Xian Zhao et al.
Summary: This paper investigates the optimal mission abort policy for systems executing missions in a random environment combining cumulative shock model and run shock model. Two optimization models are constructed to minimize the expected total cost and maximize the mission success probability while providing a desired system survivability. The advantages of the constructed bivariate mission abort policy are justified through two heuristic abort policies that only consider single abort criterion.
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
Management
Xian Zhao et al.
Summary: This paper investigates the joint optimization of inspection and condition based mission abort policies for systems subject to continuous degradation to minimize expected costs. Numerical evaluation of heuristic policies for mission reliability and system survivability is presented, and the obtained results are validated through numerical studies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(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.
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