Mechanical Reliability Assessment by Ensemble Learning

Reliability assessment of mechanical systems

On Procedures for Reliability Assessment of Mechanical Systems and Structures

In this paper a brief overview of methods to assess the reliability of mechanical systems and structures is given. A selection of computational procedures, stochastic structural dynamics, stochastic fatigue crack growth, and reliability based optimization are discussed. It is shown that reliability based methods may form the basis for a rational decision making.

Mechanical and Chemical Reliability Assessment of Silica Optical Fibres

The current study has investigated the ageing phenomena of silica optical fibres in relation to water activity which might be accelerated when exposed to a supplementary energy, such as microwaves. A controlled stress by winding fibres onto accurate diameter mandrel was applied. Taking into account that normally a decrease in fibre strength is induced in time by chemical action of water, the ef...

Reliability of the CMIP3 ensemble

[1] We consider paradigms for interpretation and analysis of the CMIP3 ensemble of climate model simulations. The dominant paradigm in climate science, of an ensemble sampled from a distribution centred on the truth, is contrasted with the paradigm of a statistically indistinguishable ensemble, which has been more commonly adopted in other fields. This latter interpretation (which gives rise to...

Ensemble Learning

This note presents a chronological review of the literature on ensemble learning which has accumulated over the past twenty years. The idea of ensemble learning is to employ multiple learners and combine their predictions. If we have a committee of M models with uncorrelated errors, simply by averaging them the average error of a model can be reduced by a factor of M. Unfortunately, the key ass...