Data Driven Methodology Based on Artificial Immune Systems for Damage Detection
Citations
31 citations
Cites background from "Data Driven Methodology Based on Ar..."
...[14], is rather different because it is a databased approach based on AIS (artificial immune system), where sensor data fusion, feature extraction, and pattern recognition are evaluated....
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17 citations
Cites background from "Data Driven Methodology Based on Ar..."
...The reason is that group scaling considers changes between sensors and does not process them independently.(30,34) In group scaling, the variables are divided into a predefined number of blocks of equal size and each block is scaled by the large mean of their standard deviations....
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4 citations
3 citations
Cites methods from "Data Driven Methodology Based on Ar..."
...In this study we have illustrated how the Developed Particle Filter method can provide an accurate estimate of the RUL over conventional data-driven methods without physical model [40, 41]....
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References
8,333 citations
2,296 citations
"Data Driven Methodology Based on Ar..." refers methods or result in this paper
...Previous works by the authors [12][16] have shown that group scaling presents a better performance compared with other kind of normalizations, EWSHM 2014 - Nantes, France...
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...The general idea in the use of PCA is to find a smaller set of variables with less redundancy but with a minimal loss of information [16]....
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226 citations
"Data Driven Methodology Based on Ar..." refers background in this paper
...Artificial immune system (AIS) is an adaptive and bio-inspired computational system based on the processes, performance of the human immune system and its properties such as diversity, error tolerance, dynamic learning, adaptation, distributed computation and self-monitoring [11]....
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...More information about the normalizations can be found in [11],[12]....
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118 citations
"Data Driven Methodology Based on Ar..." refers background or methods or result in this paper
...The application of PCA starts with a matrix X which contains information from m sensors and n experimental trials [12]....
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...Previous works by the authors [12][16] have shown that group scaling presents a better performance compared with other kind of normalizations, EWSHM 2014 - Nantes, France...
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...In both steps, the data from the structure are collected and organized in a unfolded matrix [12] which contains the information of the signal collected by the sensors in different parts of the structure by each actuation phase....
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...More information about the normalizations can be found in [11],[12]....
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