Real-time damage detection based on pattern recognition

2016 ◽  
Vol 17 (3) ◽  
pp. 338-354 ◽  
Author(s):  
João Pedro de Oliveira Dias Prudente dos Santo ◽  
Christian Crémona ◽  
António Paulo Campos da Silveira ◽  
Luís Calado de Oliveira Martins
Keyword(s):  
Pattern Recognition ◽  
Damage Detection ◽  
Real Time

Real-time occupancy detection with physics-informed pattern-recognition machines based on limited CO2 and temperature sensors

2021 ◽  
pp. 110863
Author(s):  
Styliani I. Kampezidou ◽  
Archana Tikayat Ray ◽  
Scott Duncan ◽  
Michael G. Balchanos ◽  
Dimitri N. Mavris
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Temperature Sensors ◽  
Occupancy Detection

Space-Varying Templates for Real-Time Applications of Cellular Nonlinear Networks to Pattern Recognition in Nuclear Fusion

2013 ◽  
Vol 41 (9) ◽  
pp. 2516-2526
Author(s):  
Simone Palazzo ◽  
Andrea Murari ◽  
Paolo Arena ◽  
Didier Mazon ◽  
Jet-Efda Contributors
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Nuclear Fusion ◽  
Nonlinear Networks ◽  
Real Time Applications

Experimental Application of a Damage Localisation Technique Based on Smoothed Proper Orthogonal Modes

2007 ◽  
Vol 347 ◽  
pp. 121-126 ◽  
Author(s):  
U. Galvanetto ◽  
L. Monopoli ◽  
Cecilia Surace ◽  
Alessandra Tassotti
Keyword(s):  
Damage Detection ◽  
Proper Orthogonal Decomposition ◽  
Real Time ◽  
Orthogonal Decomposition ◽  
Steel Beams ◽  
Acceleration Response ◽  
Experimental Application ◽  
Lab Experiments ◽  
Proper Orthogonal Modes ◽  
Proper Orthogonal

The paper presents an experimental application of the Proper Orthogonal Decomposition (POD) to damage detection in steel beams. A damaged beam has been excited with a sinusoidal force, the acceleration response at points regularly spaced along the structure has been recorded and the relevant Proper Orthogonal Modes calculated. In this way it is possible to locate damage by comparing the measured dominant Proper Orthogonal Mode with a smoothed version of it which does not exhibit apparent peaks in correspondence with the damage. One of the principal advantages of the proposed damage detection technique is that it does not require vibration measurements to be performed on the undamaged structure. Moreover the ‘optimality’ of the proper orthogonal modes only requires the use of a few (one-two) of them which can be computed in real time during lab experiments or while the structure is functioning in the field.

scholarly journals Separating damage from environmental effects affecting civil structures for near real-time damage detection

2017 ◽  
Vol 17 (4) ◽  
pp. 850-868 ◽  
Author(s):  
William Soo Lon Wah ◽  
Yung-Tsang Chen ◽  
Gethin Wyn Roberts ◽  
Ahmed Elamin
Keyword(s):  
Damage Detection ◽  
Real Time ◽  
Environmental Effects ◽  
Environmental Conditions ◽  
Principal Component ◽  
Detection Methods ◽  
Real Time Monitoring ◽  
Civil Structures ◽  
Data Set ◽  
Wide Range

Analyzing changes in vibration properties (e.g. natural frequencies) of structures as a result of damage has been heavily used by researchers for damage detection of civil structures. These changes, however, are not only caused by damage of the structural components, but they are also affected by the varying environmental conditions the structures are faced with, such as the temperature change, which limits the use of most damage detection methods presented in the literature that did not account for these effects. In this article, a damage detection method capable of distinguishing between the effects of damage and of the changing environmental conditions affecting damage sensitivity features is proposed. This method eliminates the need to form the baseline of the undamaged structure using damage sensitivity features obtained from a wide range of environmental conditions, as conventionally has been done, and utilizes features from two extreme and opposite environmental conditions as baselines. To allow near real-time monitoring, subsequent measurements are added one at a time to the baseline to create new data sets. Principal component analysis is then introduced for processing each data set so that patterns can be extracted and damage can be distinguished from environmental effects. The proposed method is tested using a two-dimensional truss structure and validated using measurements from the Z24 Bridge which was monitored for nearly a year, with damage scenarios applied to it near the end of the monitoring period. The results demonstrate the robustness of the proposed method for damage detection under changing environmental conditions. The method also works despite the nonlinear effects produced by environmental conditions on damage sensitivity features. Moreover, since each measurement is allowed to be analyzed one at a time, near real-time monitoring is possible. Damage progression can also be given from the method which makes it advantageous for damage evolution monitoring.

scholarly journals A Comparison Of Real-Time Optical Correlators For Pattern Recognition

1989 ◽  
Author(s):  
K. Terry Stalker ◽  
Perry A. Molley ◽  
Bruce D. Hansche
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Optical Correlators
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