Ingeniería y ciencia de los materiales
Accelerometers
8%
Acoustic emissions
19%
Acoustics
7%
Axles
5%
Centrifugal pumps
13%
Classifiers
20%
Clustering algorithms
9%
Condition monitoring
15%
Convolutional neural networks
11%
Crack detection
5%
Deep learning
19%
Deep neural networks
7%
Failure analysis
100%
Failure modes
5%
Fast Fourier transforms
7%
Fault detection
42%
Feature extraction
25%
Fuzzy clustering
8%
Gear teeth
7%
Gears
21%
Genetic algorithms
5%
Health
11%
Industry
5%
Long short-term memory
12%
Machine learning
17%
Machine vibrations
5%
Machinery
12%
Mathematical transformations
6%
Neural networks
8%
Pitting
7%
Rails
5%
Random forests
16%
Reciprocating compressors
25%
Roller bearings
16%
Rotating machinery
55%
Rough set theory
5%
Sensors
5%
Spur gears
9%
Statistical tests
6%
Support vector machines
11%
Time series
11%
Vibration measurement
5%
Wind turbines
7%
Matemáticas
Accelerometer
8%
Acoustic Emission
13%
Belief Networks
6%
Boltzmann Machine
6%
Breakage
6%
Classifier
9%
Cluster Validity Index
5%
Clustering Algorithm
9%
Compressor
6%
Condition-based Maintenance
7%
Damage
6%
Data-driven
6%
Dictionary
5%
Failure Mode
5%
Fault
55%
Fault Detection
28%
Fault Diagnosis
78%
Fault Identification
5%
Feature Selection
15%
Feature Space
6%
Framework
7%
Frequency Domain
5%
Fuzzy Clustering
9%
Gearbox
88%
Learning
14%
Machine Learning
18%
Memory Term
6%
Model
8%
Neural Networks
14%
Performance
6%
Random Forest
5%
Ranking
9%
Rolling Bearing
11%
Rotating
5%
Rotating Machinery
30%
Service-oriented Architecture
9%
Support Vector Machine
10%
Time Domain
9%
Torque
6%
Training
7%
Vibration Signal
49%