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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
RECOGNITION OF MACHINE SOUND DATA FOR EFFICIENT MACHINE CONDITION MONITORING
Authors
Snehal Mahendra Shegokar, Anil Deorankar
Keywords
Machine tools condition analysis, Machine learning, IoT, Sound data.
Abstract
Machine condition checking innovation has around for a long time, designed for advancing machine execution and limiting unplanned personal time. Since the appearance of the IoT, nonetheless, there has been development around machine condition observing. An IoT-based model for machine apparatuses condition examination with AI, IoT computerizes and adds knowledge to machine condition checking. In this paper different techniques are studied about machine tools condition analysis and classification. This examination surveys different techniques which are used to classify machine sound data. The center goal is to order the obtained machine sound sign into the comparing machine conditions effectively for example faulty and normal, which is generally a multi-class order issue.
IJCRT's Publication Details
Unique Identification Number - IJCRT2006077
Paper ID - 195386
Page Number(s) - 519-524
Pubished in - Volume 8 | Issue 6 | June 2020
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Snehal Mahendra Shegokar, Anil Deorankar, "RECOGNITION OF MACHINE SOUND DATA FOR EFFICIENT MACHINE CONDITION MONITORING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 6, pp.519-524, June 2020, Available at :http://www.ijcrt.org/papers/IJCRT2006077.pdf
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Volume 12 | Issue 5
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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