Výsledky vyhledávání - "Raj B K N Rao"

TOOL CONDITION MONITORING USING ACOUSTIC EMISSION, SURFACE ROUGHNESS AND GROWING CELL STRUCTURES NEURAL NETWORK

Autor: Raj B K N Rao, T. N. Nagabhushana, Srinivasa P Pai

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::36994375eadbc5c55ea2ca0a5fa660e4
https://doi.org/10.1080/10910344.2012.731954

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Radial basis function neural network based comparison of dimensionality reduction techniques for effective bearing diagnostics

Autor: Raj B K N Rao, G S Vijay, N S Sriram, Srinivasa P Pai

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::983721700fe54946b3554423b4b9038a
https://doi.org/10.1177/1350650112464927

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On integrating event definition and event detection

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c17f911c715d949dc70677d7b274fb40
https://doi.org/10.1007/s10115-009-0193-3

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Development of Acoustic Emission Technology for Condition Monitoring and Diagnosis of Rotating Machines: Bearings, Pumps, Gearboxes, Engines, and Rotating Structures

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4164016b72c88192cf52e58c6c381dde
https://doi.org/10.1177/0583102405059054

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Elektronická kniha

COMADEM 89 International : Proceedings of the First International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM)

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

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Feature-filtered fuzzy clustering for condition monitoring of tool wear

Autor: Tony Hope, Raj B. K. N. Rao, Wolfhard Lawrenz, Zhijun Wang

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1701fb2155da098fd71ac691aab7e151
https://doi.org/10.1007/bf00114135

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Evaluation of effectiveness of wavelet based denoising schemes using ANN and SVM for bearing condition classification

Autor: Raj B. K. N. Rao, Srinivasa Pai P, Sandip Vijay, S. H. Kumar, S. Sriram

Publikováno v: Computational Intelligence and Neuroscience
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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a0c2dd53a1123c0caa2a655ee88d95e
https://pubmed.ncbi.nlm.nih.gov/23213323

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25th International Congress on Condition Monitoring and Diagnostic Engineering (COMADEM 2012)

Autor: Rakesh Mishra, Fengshou Gu, Andrew Ball, Raj B. K. N. Rao

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fff9defa89d095bc836de1182ad9252d
https://doi.org/10.1088/1742-6596/364/1/011001

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