Zobrazeno 1 - 10
of 115
pro vyhledávání: '"K I Ramachandran"'
Publikováno v:
International Journal of Prognostics and Health Management, Vol 10, Iss 2 (2019)
Condition monitoring system monitors the system degradation and it identifies common failure modes. Several sensor signals are available for monitoring the changes in system components. Vibration signal is one of the most extensively used technique f
Externí odkaz:
https://doaj.org/article/e8a305bdabf44645a360205f21b6b6b8
Comparison of Vibration, Sound and Motor Current Signature Analysis for Detection of Gear Box Faults
Publikováno v:
International Journal of Prognostics and Health Management, Vol 8, Iss 2 (2017)
Gear box is used in automobiles and industries for power transmission under different working conditions and applications. Failure in a gear box at unexpected time leads to increase in machine downtime and maintenance cost. In order to overcome these
Externí odkaz:
https://doaj.org/article/2bc4de6a46cc44879f7c8621f2da6330
Publikováno v:
Arabian Journal for Science and Engineering. 47:14147-14162
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::221f22e59050977c5af074941d5a4fc5
https://doi.org/10.1007/s13369-022-06683-y
https://doi.org/10.1007/s13369-022-06683-y
Publikováno v:
Iranian Polymer Journal. 29:1071-1085
Multiscale filler-reinforced composites are emerging category of advanced materials which can replace a range of conventional materials in various applications. The nanofiller reinforcement and the synergistic inclusion of nano- and micro reinforceme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::923d9b2d04a0b53bde538af5c89340d1
https://doi.org/10.1007/s13726-020-00862-0
https://doi.org/10.1007/s13726-020-00862-0
Autor:
K. I. Ramachandran, S. Adarsh
Publikováno v:
Intelligent Decision Technologies. 14:259-267
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f995dac21fc9b62887c87c7cd077d5df
https://doi.org/10.3233/idt-180109
https://doi.org/10.3233/idt-180109
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811645372
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bca94098cb5dc8696e01910180996657
https://doi.org/10.1007/978-981-16-4538-9_52
https://doi.org/10.1007/978-981-16-4538-9_52
Publikováno v:
IET Science, Measurement & Technology. 13:1287-1298
A unified fault modelling approach for machines with varying operating speeds is of interest in automating production facilities. Building a unified fault model is challenging due to the presence of speed-specific attributes in the features derived.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fa997921c368b4521a72710a3d75f16
https://doi.org/10.1049/iet-smt.2019.0072
https://doi.org/10.1049/iet-smt.2019.0072
Publikováno v:
2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP).
The detection of the driver’s face is an important part of the active safety system for advanced driver assistance systems (ADAS) and this task becomes challenging and complex when normal visual cameras are used in poor illumination. This paper inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90f888ffb41b1c32c624ac2892a8ef6b
https://doi.org/10.1109/icccsp52374.2021.9465533
https://doi.org/10.1109/icccsp52374.2021.9465533
Feature Mapping Techniques for Improving the Performance of Fault Diagnosis of Synchronous Generator
Publikováno v:
International Journal of Prognostics and Health Management, Vol 6, Iss 2 (2015)
Scopus-Elsevier
Scopus-Elsevier
Support vector machine (SVM) is a popular machine learning algorithm used extensively in machine fault diagnosis. In this paper, linear, radial basis function (RBF), polynomial, and sigmoid kernels are experimented to diagnose inter-turn faults in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef737beadd15e56544284eab7c0d550a
https://doi.org/10.36001/ijphm.2015.v6i2.2256
https://doi.org/10.36001/ijphm.2015.v6i2.2256
ROS-Based Pedestrian Detection and Distance Estimation Algorithm Using Stereo Vision, Leddar and CNN
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811553998
Pedestrian detection systems are of paramount importance in today’s cars, as we depart from conventional ADAS toward higher levels of integrated autonomous driving capability. Legacy systems use a variety of image processing methodologies to detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c8e2a1b6d5bc26f868a47cf600de817
https://doi.org/10.1007/978-981-15-5400-1_13
https://doi.org/10.1007/978-981-15-5400-1_13