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pro vyhledávání: '"Raj B K N Rao"'
Autor:
Raj B K N Rao
Publikováno v:
Measurement + Control, Vol 34 (2001)
Externí odkaz:
https://doaj.org/article/0662fbfba0ab4028b33479de4500998d
Publikováno v:
Machining Science and Technology. 16:653-676
The monitoring of tool wear is a most difficult task in the case of various metal-cutting processes. Artificial Neural Networks (ANN) has been used to estimate or classify certain wear parameters, using continuous acquisition of signals from multi-se
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology. 227:640-653
This article uses the cluster dependent weighted fuzzy C-means based radial basis function neural network for comparing the different dimensionality reduction techniques for the fault diagnosis in the rolling element bearing. The vibration signals fr
Autor:
Raj B. K. N. Rao, Nadim Obeid
Publikováno v:
Knowledge and Information Systems. 22:129-158
We develop, in this paper, a representation of time and events that supports a range of reasoning tasks such as monitoring and detection of event patterns which may facilitate the explanation of root cause(s) of faults. We shall compare two approache
Autor:
David Mba, Raj B. K. N. Rao
Publikováno v:
The Shock and Vibration Digest. 38:3-16
Proof pdf available on ResearchGate (2nd May 2015 uploaded by David Mba) One of the earliest documented applications of Acoustic Emission Technology (AET) to rotating machinery monitoring was in the late 1960s. Since then there has been an explosion
Autor:
Raj B. K. N. Rao, A. D. Hope
RajB KNRao Conference Director, Birmingham Polytechnic Condition Monitoring and Diagnostic Engineering Management (COMADEM) is a relatively new field that has already made its mark in a wide range of industries. But all the signs are that even more w
Publikováno v:
Journal of Intelligent Manufacturing. 7:13-22
Condition monitoring is of vital importance in order to assess the state of tool wear in unattended manufacturing. Various methods have been attempted, and it is considered that fuzzy clustering techniques may provide a realistic solution to the clas
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2012 (2012)
Computational Intelligence and Neuroscience, Vol 2012 (2012)
The wavelet based denoising has proven its ability to denoise the bearing vibration signals by improving the signal-to-noise ratio (SNR) and reducing the root-mean-square error (RMSE). In this paper seven wavelet based denoising schemes have been eva
Publikováno v:
Journal of Physics: Conference Series. 364:011001
The proactive multidisciplinary conceptual philosophy of Condition Monitoring and Diagnostic Engineering Management (COMADEM) was conceived and has been nurtured, developed and sustained since 1988. Since then, it is gratifying to note that the condi
Publikováno v:
Condition Monitoring and Diagnostic Engineering Management
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3421cf84b61ffc81a14f3c777903a9bc
https://doi.org/10.1007/978-94-009-0431-6
https://doi.org/10.1007/978-94-009-0431-6