Pages that link to "Item:Q319049"
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The following pages link to Condition-based maintenance using the inverse Gaussian degradation model (Q319049):
Displaying 34 items.
- Degradation-based maintenance decision using stochastic filtering for systems under imperfect maintenance (Q319625) (← links)
- New stochastic models for preventive maintenance and maintenance optimization (Q323487) (← links)
- A risk-averse stochastic program for integrated system design and preventive maintenance planning (Q666964) (← links)
- Two-state optimal maintenance planning of repairable systems with covariate effects (Q1651577) (← links)
- Degradation data analysis and remaining useful life estimation: a review on Wiener-process-based methods (Q1653357) (← links)
- A joint inspection-based preventive maintenance and spare ordering optimization policy using a three-stage failure process (Q1694246) (← links)
- A condition-based maintenance policy for degrading systems with age- and state-dependent operating cost (Q1694829) (← links)
- A two-phase preventive maintenance policy considering imperfect repair and postponed replacement (Q1755393) (← links)
- Parameter estimation of a multistate model for an aging piece of equipment under condition-based maintenance (Q1954690) (← links)
- Stochastic comparisons of imperfect maintenance models for a gamma deteriorating system (Q1991282) (← links)
- Joint optimization of condition-based maintenance and inventory control for a \(k\)-out-of-\(n\):F system of multi-state degrading components (Q2029370) (← links)
- Optimal inspection and mission abort policies for systems subject to degradation (Q2030613) (← links)
- Condition-based maintenance with imperfect inspections for continuous degradation processes (Q2049761) (← links)
- Inverse Gaussian process based reliability analysis for constant-stress accelerated degradation data (Q2109872) (← links)
- Maintenance policy for a system with a weighted linear combination of degradation processes (Q2272307) (← links)
- A dynamic auto-adaptive predictive maintenance policy for degradation with unknown parameters (Q2282494) (← links)
- Reliability modelling and assessment of a heterogeneously repaired system with partially relevant recurrence data (Q2295895) (← links)
- Censored lifetime learning: optimal Bayesian age-replacement policies (Q2661575) (← links)
- A numerical study of Markov decision process algorithms for multi-component replacement problems (Q2670522) (← links)
- Condition-based maintenance for a system subject to multiple degradation processes with stochastic arrival intensity (Q2672076) (← links)
- The study of a maintenance float model with inverse Gaussian failure distribution (Q2780707) (← links)
- Pricing and Design of After-Sales Service Contract: The Value of Mining Asymmetric Sales Cost Information (Q2973353) (← links)
- A Survey of Modeling and Application of Non-destructive and Destructive Degradation Tests (Q4559446) (← links)
- Optimal maintenance policy incorporating system level and unit level for mechanical systems (Q5027598) (← links)
- Degradation modeling based on gamma process models with random effects (Q5084959) (← links)
- Mis-specification analyses and optimum degradation test plan for Wiener and inverse Gaussian processes (Q6060909) (← links)
- Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations (Q6096576) (← links)
- A data-driven approach for condition-based maintenance optimization (Q6096597) (← links)
- Simultaneous predictive maintenance and inventory policy in a continuously monitoring system using simulation optimization (Q6164358) (← links)
- Imperfect maintenance policies for warranted products under stochastic performance degradation (Q6167401) (← links)
- Online reinforcement learning for condition-based group maintenance using factored Markov decision processes (Q6554615) (← links)
- Preventive maintenance for homogeneous and heterogeneous systems (Q6574601) (← links)
- Image-Based Prognostics Using Penalized Tensor Regression (Q6621649) (← links)
- Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes (Q6622455) (← links)
