Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Artificial neural network approach for condition-based maintenance   In this research, computerized maintenance management will be investigated.
The rise of maintenance cost forced the research community to look for more
effective ways to schedule maintenance operations. Using computerized models to
come up with optimal maintenance policy has led to better equipment utilization
and lower costs. This research adopts Condition-Based Maintenance model where
the maintenance decision is generated based on equipment conditions. Artificial
Neural Network technique is proposed to capture and analyze equipment condition
signals which lead to higher level of knowledge gathering. This knowledge is
used to accurately estimate equipment failure time. Based on these estimations,
an optimal maintenance management policy can be achieved.

31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
19
The categories of this paper are: eess
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th