The state-of-the-art of damage detection by vibration monitoring: the SIMCES experience

Guido De Roeck

doi:10.1002/stc.20

The state-of-the-art of damage detection by vibration monitoring: the SIMCES experience

Journal of Structural Control ◽

10.1002/stc.20 ◽

2003 ◽

Vol 10 (2) ◽

pp. 127-134 ◽

Cited By ~ 57

Author(s):

Guido De Roeck

Keyword(s):

Damage Detection ◽

State Of The Art ◽

The State ◽

Vibration Monitoring

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Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art

2020 IEEE 10th International Conference on Intelligent Systems (IS) ◽

10.1109/is48319.2020.9200137 ◽

2020 ◽

Cited By ~ 1

Author(s):

Raheleh Jafari ◽

Sina Razvarz ◽

Alexander Gegov ◽

Boriana Vatchova

Keyword(s):

Deep Learning ◽

Damage Detection ◽

State Of The Art ◽

The State

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Practical Picture Processing

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100051700 ◽

1974 ◽

Vol 32 ◽

pp. 338-339

Author(s):

T. A. Welton

Keyword(s):

Radiation Damage ◽

Coherence Length ◽

Spatial Information ◽

State Of The Art ◽

Coherent Radiation ◽

The State ◽

Energy Spread ◽

Electron Micrograph ◽

Picture Processing ◽

Molecular Skeleton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.

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