A platform for research: civil engineering, architecture and urbanism
Diagnosing faults in aluminium processing by using multivariate statistical approaches
Diagnosing faults in aluminium processing by using multivariate statistical approaches
Diagnosing faults in aluminium processing by using multivariate statistical approaches
Majid, N. A. (author) / Taylor, M. P. (author) / Chen, J. J. (author) / Yu, W. (author) / Young, B. R. (author)
JOURNAL OF MATERIALS SCIENCE ; 47 ; 1268-1279
2012-01-01
12 pages
Article (Journal)
English
DDC:
620.11
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Diagnosing planetary gear faults using the fuzzy entropy of LMD and ANFIS
British Library Online Contents | 2016
|A multi-agent architecture for diagnosing simultaneous faults along water canals
Tema Archive | 2014
|An Efficient Neural Network-Based Method for Diagnosing Faults of PV Array
DOAJ | 2021
|An Integrated Robust Strategy for Diagnosing Sensor Faults in Building Chilling Systems
Taylor & Francis Verlag | 2002
|A Robust Model-Based Approach to Diagnosing Faults in Air-Handling Units
British Library Conference Proceedings | 1999
|