Optimal two-stage abort policy considering performance-based missions

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110803 - 110803

Published: Jan. 1, 2025

Language: Английский

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Optimal system loading and aborting in additive multi-attempt missions

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 251, P. 110315 - 110315

Published: July 1, 2024

Language: Английский

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A dynamic multi-task selective execution policy considering stochastic dependence between degradation and random shocks by deep reinforcement learning

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: 257, P. 110844 - 110844

Published: Jan. 24, 2025

Language: Английский

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Joint optimization of maintenance and speed selection for transportation systems

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110865 - 110865

Published: Jan. 1, 2025

Language: Английский

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Dynamic loading and mission abort decisions considering abort restrictions

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Considerable attention has been given to load adjustment and mission abort strategies, aimed at striking a balance between advancing success mitigating system failure risk. Existing studies predominantly center on optimizing loading policies without factoring in potential constraints governing decisions. In practice, however, there are instances where aborting the is not viable during specific stages. For example, submarines may be prohibited from missions surfacing for rescue operations due confidentiality reasons. This paper investigates joint optimization of condition-based dynamic while considering limitations missions. Specifically, dynamically modified based progress condition, terminated permissible stages ensure safety. An example an integrated minesweeper vehicle used illustrate proposed model obtained results.

Language: Английский

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Optimal aborting in cumulative parallel missions with individual and common shocks

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 111197 - 111197

Published: April 1, 2025

Language: Английский

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Optimal replacement policies with repair numbers for mission-oriented systems

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 111154 - 111154

Published: April 1, 2025

Language: Английский

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Multiple stresses optimization design of constant-stress accelerated degradation test based on Wiener process

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, Journal Year: 2024, Volume and Issue: unknown

Published: July 25, 2024

Constant-stress accelerated degradation test (CSADT) is an effective means of evaluating the reliability products, to ensure accurate assessment reliability-related indicators under limited funds. The optimized design CSADT has been widely applied. advantage Wiener process in capturing random nature non-monotonic paths caused by inherent uncertainties products also used application tests (ADT). To address drawback traditional with constant diffusion coefficients leading low accuracy evaluation, a multi-stress coupled acceleration model stress-related proposed. This includes construction D-optimization criterion that minimizes variance parameter estimation as optimization target, and scheme method based on Particle Swarm Optimization (PSO) cost constraints. Through analysis case study ADT for LED lamps, comparison sensitivity four models or without considering coefficients, effectiveness, robustness paper are validated.

Language: Английский

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UAV formation path planning for mountainous forest terrain utilizing an artificial rabbit optimizer incorporating reinforcement learning and thermal conduction search strategies

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102947 - 102947

Published: Oct. 1, 2024

Language: Английский

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Optimal Dynamic Condition‐Based Mode Switching Policy for Systems With Main and Auxiliary Components

Naval Research Logistics (NRL), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 30, 2024

ABSTRACT In various complex systems, auxiliary components play a crucial role in mitigating potential negative effects on the main component. This paper examines systems comprising component and an that offers minimal repairs to While operates online, has flexibility switch between online offline modes. The modes failures of have significant implications for maintenance services adopted both components, given their stochastic economic dependence. During operation component, it promptly performs repairs, effectively minimizing downtime costs However, itself may deteriorate over age, resulting additional corrective expenses. Conversely, during periods prompt are not feasible, leading further costs. Therefore, optimizing dynamic condition‐based mode switching policy becomes order minimize expected total effectively. To address this challenge, formulates optimization problem within Markov decision process framework explores structural properties optimal policy, including monotonicity, control limit properties, impact diverse cost scenarios decision‐making. Furthermore, validates theoretical results by conducting numerical example wind turbine system, which confirms practical applicability. Additionally, compares proposed with alternative heuristic policies demonstrates substantial decrease cost.

Language: Английский

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