Related references
Note: Only part of the references are listed.
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, 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
Computer Science, Hardware & Architecture
Guoqing Cheng et al.
Summary: This article investigates the optimal joint inspection and mission abort policies for deteriorating systems which execute a mission continuously. The decision to abort or continue the mission is based on predictive reliability, leading to cost savings. Explicit expressions for mission success probability and system survivability are derived, and the optimal joint policy aims to minimize the expected total cost including mission failure cost, system loss cost, and inspection cost.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Engineering, Multidisciplinary
Qinglai Dong et al.
Summary: In this paper, the optimal mission abort policy for a k-out-of-n: F balanced system is studied, which consists of m sectors and n components in each sector. The reliability indices are derived using the Markov process imbedding approach. Two optimization models are established according to two competitive abort criteria. Finally, an unmanned aerial vehicle is discussed to illustrate the proposed mission abort policy.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(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: 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 proposes a new model of multiple attempts with a prespecified activation delay for mission abort policies in multi-attempt missions. Numerical algorithms are implemented to evaluate mission metrics and optimize the activation delay and attempt abort policy. The model is demonstrated using a case study of unmanned aerial vehicles in a reconnaissance mission.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Rui Yan et al.
Summary: A collaborative truck-and-drone system is able to perform various tasks and improve task success by aborting tasks and activating rescue procedures under certain conditions. By designing an optimization model, this paper considers task abortion and route optimization for trucks and drone clusters under random attacks, as well as time windows and protection of drones in the system. The proposed strategy is validated through numerical examples and sensitivity analysis, demonstrating its effectiveness in minimizing total costs and achieving optimal routing.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Public, Environmental & Occupational Health
Li Yang et al.
Summary: Information-driven mission abort is an effective approach to minimize failure risk in safety-critical systems. This study focuses on optimizing the sampling and mission abort decisions for partially observable systems, where system health state is revealed through sampling. Dynamic policies were developed based on belief state optimization models and partial health information, outperforming heuristic abort policies in controlling mission loss.
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
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
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
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: 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
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.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Automation & Control Systems
Li Yang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2020)
Article
Engineering, Industrial
Rui Zheng et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Engineering, Industrial
Gregory Levitin et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
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, Multidisciplinary
Gregory Levitin et al.
APPLIED MATHEMATICAL MODELLING
(2019)
Article
Engineering, Industrial
Gregory Levitin 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
Management
Ji Hwan Cha et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2018)
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
Rui Peng
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)
Review
Engineering, Industrial
J. M. van Noortwijk
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2009)
