Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent
  Neural Networks   Noncritical soft-faults and model deviations are a challenge for Fault
Detection and Diagnosis (FDD) of resident Autonomous Underwater Vehicles
(AUVs). Such systems may have a faster performance degradation due to the
permanent exposure to the marine environment, and constant monitoring of
component conditions is required to ensure their reliability. This works
presents an evaluation of Recurrent Neural Networks (RNNs) for a data-driven
fault detection and diagnosis scheme for underwater thrusters with empirical
data. The nominal behavior of the thruster was modeled using the measured
control input, voltage, rotational speed and current signals. We evaluated the
performance of fault classification using all the measured signals compared to
using the computed residuals from the nominal model as features.

15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
2
The categories of this paper are: math