A5061380570- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- Risk and Safety Analysis
- Statistical Distribution Estimation and Applications
- Machine Fault Diagnosis Techniques
- Life Cycle Costing Analysis
- Quality and Safety in Healthcare
- Advanced Battery Technologies Research
- Probabilistic and Robust Engineering Design
- Fault Detection and Control Systems
- Fuel Cells and Related Materials
- Engineering Diagnostics and Reliability
- Structural Health Monitoring Techniques
- Management and Optimization Techniques
- Energy Load and Power Forecasting
- Power System Reliability and Maintenance
- Manufacturing Process and Optimization
- Advanced Statistical Process Monitoring
- Infrastructure Maintenance and Monitoring
- Fatigue and fracture mechanics
- Transportation Systems and Infrastructure
- Non-Destructive Testing Techniques
- Gear and Bearing Dynamics Analysis
- Assembly Line Balancing Optimization
- Electric Vehicles and Infrastructure
Centre National de la Recherche Scientifique
2015-2024
Grenoble Images Parole Signal Automatique
2015-2024
Université Grenoble Alpes
2015-2024
Institut polytechnique de Grenoble
2012-2024
Laboratoire d’Informatique et Systèmes
2022
Aix-Marseille Université
2022
Laboratoire d'Automatique, Génie Informatique et Signal
2012-2019
Valeo (France)
2018
Université de Technologie de Troyes
2005-2014
Universidad de Oriente
2014
A predictive-maintenance structure for a gradually deteriorating single-unit system (continuous time/continuous state) is presented in this paper. The proposed decision model enables optimal inspection and replacement order to balance the cost engaged by failure unavailability on an infinite horizon. Two maintenance variables are considered: preventive threshold schedule based state. In assess performance of structure, mathematical maintained developed using regenerative semi-regenerative...
Traditional maintenance decisions in the framework of condition-based applied to multi-component systems are performed either at system level or component level. These however cannot always assure best performance. To remedy this drawback, present paper introduces a multi-level decision-making approach that combines and The effectiveness such an is investigated through n-component deteriorating with k-out-of- n:F structure, economic dependence. In fact, based on degradation failure model...
Abstract This paper studies a condition‐based maintenance policy for repairable system subject to continuous‐state gradual deterioration monitored by sequential non‐periodic inspections. The can be maintained using different operations (partial repair, as good new replacement) with effects (on the state), costs and durations. A parametric decision framework (multi‐threshold policy) is proposed choose sequentially best actions schedule future inspections, on‐line monitoring information on...
This paper presents a condition‐based maintenance policy considering aspects of cost and productivity for single‐unit deteriorating production system whose condition is periodically monitored. Imperfect preventive actions, which restore the to better than old, are considered with both deterministic random intervention gains. Moreover, assumed be repaired only limited number times. In order assess performance proposed policy, different types imperfect functions investigated. A numerical...
This paper provides a methodology to analyze the efficiency of mean residual life in condition-based maintenance decision-making. A degradation-threshold-dependent-shock model is used describe evolution system subject dependent and competing failure modes due degradation shock. Based on this model, we compute its monotonicity. property function allows introducing new strategy whose preventive decision based life. The proposed then compared level only. Analyzing equivalence, performance...
This paper deals with maintenance decision-making for single-unit deteriorating systems operating under indirect condition monitoring. Based on a degradation and measurement model of crack growth propagation, two new policies using prognostic information are introduced. Their cost models evaluated jointly by analytical simulation approaches, compared more classical benchmark models. Such complete integrating phenomenon, monitoring characteristics, state estimation, prognostics, assessment...