INIS
fault tree analysis
100%
signals
93%
data
82%
detection
71%
classification
56%
machinery
44%
learning
40%
comparative evaluations
35%
algorithms
34%
failures
31%
performance
30%
gears
29%
devices
29%
maintenance
27%
acoustics
25%
neural networks
25%
accuracy
22%
monitoring
22%
machine learning
22%
applications
22%
compressors
21%
information
19%
levels
18%
emission
17%
vectors
16%
fuzzy logic
15%
teeth
15%
speed
14%
centrifugal pumps
14%
extraction
14%
sensors
14%
assessments
13%
hybrids
13%
tracks
13%
evaluation
12%
rolling
12%
management
12%
datasets
11%
size
11%
industry
11%
space
11%
cost
10%
randomness
10%
proposals
10%
optimization
10%
reliability
10%
processing
10%
design
10%
control
9%
motors
9%
wind turbines
9%
architecture
9%
forests
8%
losses
8%
spectra
8%
transmission
8%
operation
8%
distance
8%
distribution
7%
implementation
7%
environment
7%
tools
7%
connectors
7%
genetic algorithms
7%
robots
7%
plates
7%
modeling
6%
wheels
6%
reviews
6%
output
6%
computer codes
6%
conferences
6%
augmentation
6%
equipment
6%
cracks
5%
ecuador
5%
utilities
5%
production
5%
solutions
5%
bone joints
5%
principal component analysis
5%
vehicles
5%
entropy
5%
damage
5%
images
5%
Engineering
Gearbox
21%
Fault Diagnosis
18%
Detection Device
8%
Reciprocating Compressors
8%
Rotating Machinery
8%
Random Forest
7%
Classification Accuracy
7%
Acoustic Emission
7%
Centrifugal Pump
6%
Network State
6%
Extracted Feature
6%
Breakage
5%
Current Signal
5%
Keyphrases
Reciprocating Compressor
6%