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Keywords: Prognostics and health management (PHM) Data-driven prognostics Remaining useful life COPULA Reliability a b s t r a c t This paper develops a Copula-based sampling method for data-driven prognostics. The method essentially consists of an offline training process and an online prediction process: (i) the offline training process builds a(More)
Structural health monitoring (SHM) uses an array of sensors to continuously monitor a structure to provide an early indication of problems such as damage to the structure from fatigue, corrosion or impact. The use of such a system enables maintenance costs to be reduced, and new structures can be designed to be lighter and more efficient. CSIRO has(More)
The traditional data-driven prognostic approach is to construct multiple candidate algorithms using a training data set, evaluate their respective performance using a testing data set, and select the one with the best performance while discarding all the others. This approach has three shortcomings: (i) the selected standalone algorithm may not be robust,(More)
1. Abstract This paper presents a maximum confidence enhancement based sequential sampling approach for simulation-based design under uncertainty. In the proposed approach, the ordinary Kriging method is adopted to construct surrogate models for all constraints and thus Monte Carlo simulation (MCS) is able to be used to estimate reliability and its(More)
Performance degradation assessment of rolling element bearings is vital for the reliable and cost-efficient operation and maintenance of rotating machines, especially for the implementation of condition-based maintenance (CBM). For robust degradation assessment of rolling element bearings, uncertainties such as those induced from usage variations or sensor(More)
1. Abstract Multifunctional structural materials possess attractive attributes that can be designed to realize smart system functionalities such as integrated sensing systems for failure diagnostics and prognostics. With integrated sensing capabilities enabled by multifunctional structural materials, real-time monitoring of potentially damaging structural(More)