A semi-supervised approach based on evolving clusters for discovering unknown abnormal condition patterns in gearboxes

Mathematics

• Gearbox 100%
• Classifier 42%
• Unknown 37%
• Fault 22%
• Machine Learning 20%
• Training 20%
• Framework 16%
• Rotating Machinery 16%
• Fault Diagnosis 14%
• Testbed 13%
• Supervised Learning 13%
• K-means 13%
• Industrial Application 12%
• Nearest Neighbor 9%
• Experimental Results 9%
• Clustering 9%
• Scenarios 8%
• Heuristics 8%
• Knowledge 7%
• Metric 6%
• Model 6%
• Design 5%
• Class 5%

Engineering & Materials Science

• Classifiers 40%
• Machinery 27%
• Machine learning 21%
• Rotating machinery 17%
• Supervised learning 15%
• Industrial applications 13%
• Failure analysis 12%