Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dual Aspect Self-Attention based on Transformer for Remaining Useful
  Life Prediction   Remaining useful life prediction (RUL) is one of the key technologies of
condition-based maintenance, which is important to maintain the reliability and
safety of industrial equipments. Massive industrial measurement data has
effectively improved the performance of the data-driven based RUL prediction
method. While deep learning has achieved great success in RUL prediction,
existing methods have difficulties in processing long sequences and extracting
information from the sensor and time step aspects. In this paper, we propose
Dual Aspect Self-attention based on Transformer (DAST), a novel deep RUL
prediction method, which is an encoder-decoder structure purely based on
self-attention without any RNN/CNN module. DAST consists of two encoders, which
work in parallel to simultaneously extract features of different sensors and
time steps. Solely based on self-attention, the DAST encoders are more
effective in processing long data sequences, and are capable of adaptively
learning to focus on more important parts of input. Moreover, the parallel
feature extraction design avoids mutual influence of information from two
aspects. Experiments on two widely used turbofan engines datasets show that our
method significantly outperforms the state-of-the-art RUL prediction methods.

12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas