Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: In-flight Novelty Detection with Convolutional Neural Networks   Gas turbine engines are complex machines that typically generate a vast
amount of data, and require careful monitoring to allow for cost-effective
preventative maintenance. In aerospace applications, returning all measured
data to ground is prohibitively expensive, often causing useful, high value,
data to be discarded. The ability to detect, prioritise, and return useful data
in real-time is therefore vital. This paper proposes that system output
measurements, described by a convolutional neural network model of normality,
are prioritised in real-time for the attention of preventative maintenance
decision makers.
  Due to the complexity of gas turbine engine time-varying behaviours, deriving
accurate physical models is difficult, and often leads to models with low
prediction accuracy and incompatibility with real-time execution. Data-driven
modelling is a desirable alternative producing high accuracy, asset specific
models without the need for derivation from first principles.
  We present a data-driven system for online detection and prioritisation of
anomalous data. Biased data assessment deriving from novel operating conditions
is avoided by uncertainty management integrated into the deep neural predictive
model. Testing is performed on real and synthetic data, showing sensitivity to
both real and synthetic faults. The system is capable of running in real-time
on low-power embedded hardware and is currently in deployment on the
Rolls-Royce Pearl 15 engine flight trials.

25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom