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