
K-means clustering approach for damage evolution monitoring in RCF tests
Author(s) -
Marco Chiesa,
Ileana Bodini,
Candida Petrogalli,
Luca Provezza,
Michela Faccoli,
Angelo Mazzù,
Luigi Solazzi,
Giovanna Sansoni,
Matteo Lancini
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1065/10/102018
Subject(s) - principal component analysis , sensitivity (control systems) , probabilistic logic , cluster analysis , vibration , computer science , volume (thermodynamics) , confusion , data mining , algorithm , mathematics , pattern recognition (psychology) , artificial intelligence , engineering , electronic engineering , psychoanalysis , psychology , physics , quantum mechanics