Open AccessOn-line machine condition monitoring using artificial neural networks.
Author(s) -
Philip D. Wasserman
Publication year - 1991
Publication title -
the journal of the acoustical society of america
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.402271
Subject(s) - downtime , computer science , vibration , artificial neural network , process (computing) , artificial intelligence , expert system , condition monitoring , bearing (navigation) , probabilistic logic , machine learning , set (abstract data type) , support vector machine , control engineering , engineering , acoustics , physics , electrical engineering , programming language , operating system
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom