Sentence examples for damage localisation from inspiring English sources

An analysis of damage localisation on longer beams where damage localises in several areas is also carried out and, finally, the damage localisation due to shrinkage is studied as a more realistic example of the problem addressed here.

The damage detection and damage localisation issues are then addressed by using novelty analysis tools.

Furthermore, the computational effort of employing these advanced soft computing models for damage localisation can be significantly reduced by using transformed DSFs.

The application of pattern recognition-based approaches in damage localisation and quantification will eventually require the use of some kind of supervised learning algorithm.

For damage localisation, a hierarchical neuro-fuzzy tool is developed that uses the DSF ranking to establish its own optimal architecture.

The main problem associated with pattern recognition based approaches to Structural Health Monitoring (SHM) is that damage localisation and quantification almost always require supervised learning.

ZRANB3 also contains a UBD of the NZF (Npl4 zinc finger) type, which binds to polyubiquitin chains, but not monoubiquitin, displays a preference for K63- over K48-linked chains, mediates the preferential binding to polyubiquitylated PCNA and contributes to its damage-induced localisation (Ciccia et al. 2012; Weston et al. 2012).

The subsurface fatigue crack initiation also started in the ferrite phase, due to the presence of subsurface stress-raiser like inclusions that cause the formation of localised fatigue damage or strain localisation.

The results support our claim of being able to enhance damage detectability and localisation performance by transforming and optimally selecting DSFs.

Then, a simple but efficient fast forward selection procedure is applied to rank the DSF components with respect to statistical distance measures specialised for either damage detection or localisation.

The difficulty of applying EKF in mechanical system damage identification and localisation lies in: the high computational cost, the dependence of estimation results on the initial estimation error covariance matrix Pex 0), the initial value of parameters to be estimated, and on the statistics of measurement noise Rex and process noise Qex.