Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Tensor-based Structural Health Monitoring Approach for
  Aeroservoelastic Systems   Structural health monitoring is a condition-based field of study utilised to
monitor infrastructure, via sensing systems. It is therefore used in the field
of aerospace engineering to assist in monitoring the health of aerospace
structures. A difficulty however is that in structural health monitoring the
data input is usually from sensor arrays, which results in data which are
highly redundant and correlated, an area in which traditional two-way matrix
approaches have had difficulty in deconstructing and interpreting. Newer
methods involving tensor analysis allow us to analyse this multi-way structural
data in a coherent manner. In our approach, we demonstrate the usefulness of
tensor-based learning coupled with for damage detection, on a novel $N$-DoF
Lagrangian aeroservoelastic model.

7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
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The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
18
The categories of this paper are: econ