Engineering & Materials Science
Failure analysis
100%
Rotating machinery
65%
Fault detection
54%
Feature extraction
31%
Reciprocating compressors
31%
Classifiers
23%
Machine learning
22%
Random forests
20%
Deep learning
20%
Centrifugal pumps
20%
Condition monitoring
18%
Gears
18%
Acoustic emissions
17%
Time series
14%
Support vector machines
13%
Machinery
13%
Roller bearings
13%
Health
12%
Clustering algorithms
11%
Convolutional neural networks
10%
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
6%
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
5%
Anomaly detection
5%
Helical gears
5%
Detectors
5%
Glossaries
5%
Vibration measurement
5%
Analysis of variance (ANOVA)
5%
Mathematics
Gearbox
83%
Fault Diagnosis
75%
Fault
55%
Vibration Signal
46%
Fault Detection
35%
Rotating Machinery
34%
Machine Learning
22%
Feature Selection
19%
Learning
12%
Support Vector Machine
12%
Service-oriented Architecture
12%
Fuzzy Clustering
11%
Clustering Algorithm
11%
Accelerometer
10%
Classifier
10%
Framework
9%
Condition-based Maintenance
9%
Neural Networks
9%
Model
8%
Ranking
8%
Breakage
8%
Torque
8%
Compressor
8%
Data-driven
8%
Training
8%
Cluster Validity Index
7%
Dictionary
6%
Random Forest
6%
Feature Space
6%
Failure Mode
6%
Echo State Network
6%
Fuzzy Algorithm
5%
Methodology
5%
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%