Ingeniería y ciencia de los materiales
Failure analysis
100%
Rotating machinery
67%
Fault detection
55%
Feature extraction
32%
Reciprocating compressors
32%
Classifiers
24%
Machine learning
22%
Random forests
21%
Deep learning
20%
Condition monitoring
18%
Gears
18%
Acoustic emissions
17%
Centrifugal pumps
17%
Time series
15%
Support vector machines
14%
Machinery
13%
Roller bearings
13%
Health
12%
Clustering algorithms
11%
Convolutional neural networks
11%
Rails
10%
Fuzzy clustering
10%
Acoustics
9%
Accelerometers
9%
Supervised learning
8%
3D printers
8%
Industry
8%
Statistical tests
7%
Mathematical transformations
7%
Genetic algorithms
7%
Crack detection
7%
Gear teeth
7%
Rough set theory
7%
Fast Fourier transforms
6%
Neural networks
6%
Long short-term memory
6%
Failure modes
6%
Sensors
6%
Monitoring
6%
Axles
6%
Machine vibrations
6%
Service oriented architecture (SOA)
6%
Economics
6%
Torque
6%
Anomaly detection
6%
Helical gears
5%
Glossaries
5%
Vibration measurement
5%
Analysis of variance (ANOVA)
5%
Pitting
5%
Matemáticas
Gearbox
86%
Fault Diagnosis
77%
Fault
57%
Vibration Signal
47%
Fault Detection
36%
Rotating Machinery
35%
Machine Learning
22%
Feature Selection
19%
Learning
13%
Support Vector Machine
12%
Service-oriented Architecture
12%
Fuzzy Clustering
11%
Clustering Algorithm
11%
Accelerometer
11%
Classifier
10%
Framework
9%
Condition-based Maintenance
9%
Neural Networks
9%
Model
9%
Ranking
8%
Breakage
8%
Torque
8%
Compressor
8%
Data-driven
8%
Training
8%
Cluster Validity Index
7%
Dictionary
7%
Random Forest
7%
Feature Space
6%
Failure Mode
6%
Echo State Network
6%
Fuzzy Algorithm
6%
Methodology
6%
Damage
5%
Acoustic Emission
5%
Performance
5%
Concept Drift
5%
Clustering
5%
Maintenance
5%
Spectrogram
5%
Crack Detection
5%
Defect Detection
5%
Knowledge Extraction
5%
Rotating
5%
Cluster Validity
5%
Fuzzy Model
5%
