Ingeniería y ciencia de los materiales
3D printers
19%
Accelerometers
9%
Acoustic emissions
23%
Acoustics
11%
Anomaly detection
5%
Axles
6%
Centrifugal pumps
16%
Classifiers
20%
Clustering algorithms
11%
Condition monitoring
22%
Convolutional neural networks
11%
Costs
6%
Crack detection
7%
Deep learning
24%
Economics
6%
Failure analysis
100%
Failure modes
6%
Fast Fourier transforms
6%
Fault detection
46%
Feature extraction
28%
Field programmable gate arrays (FPGA)
8%
Fuzzy clustering
10%
Gear teeth
7%
Gears
22%
Health
15%
Helical gears
5%
Industrial robots
7%
Industry
7%
Long short-term memory
8%
Machine learning
23%
Machine vibrations
8%
Machinery
13%
Mathematical transformations
7%
Monitoring
8%
Neural networks
6%
Pitting
8%
Random forests
21%
Reciprocating compressors
31%
Roller bearings
10%
Rotating machinery
55%
Rough set theory
7%
Sensors
11%
Service oriented architecture (SOA)
6%
Statistical tests
7%
Supervised learning
8%
Support vector machines
13%
Time series
17%
Torque
5%
Transfer learning
6%
Wind turbines
6%
Matemáticas
Accelerometer
10%
Acoustic Emission
17%
Breakage
8%
Cluster Validity Index
7%
Clustering Algorithm
11%
Compressor
8%
Concept Drift
5%
Condition-based Maintenance
9%
Crack Detection
5%
Damage
5%
Data-driven
8%
Defect Detection
5%
Echo State Network
6%
Failure Mode
6%
Fault
43%
Fault Detection
26%
Fault Diagnosis
50%
Feature Selection
14%
Feature Space
7%
Framework
5%
Fuzzy Algorithm
6%
Fuzzy Clustering
11%
Gearbox
70%
Industrial Robot
5%
K-nearest Neighbor
5%
Knowledge Extraction
5%
Learning
14%
Machine Learning
20%
Memory Term
6%
Methodology
5%
Model
8%
Neural Networks
9%
Performance
6%
Random Forest
7%
Ranking
5%
Rotating Machinery
20%
Sensor
5%
Service-oriented Architecture
12%
Spectrogram
5%
Support Vector Machine
7%
Torque
8%
Training
7%
Vibration Signal
32%