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Title: :  A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES
PaperId: :  10815
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 5 2019
DUI:    16.0415/IJARIIE-10815
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Wasimul HaqueSSSUTMS SEHORE
Anil VermaSSSUTMS SEHORE
Dr.G.R.SelokarSSSUTMS SEHORE
Omshankar JhariyaSSSUTMS SEHORE

Abstract

mechanical engg
Keywords: Cylindrical Roller Bearing, Artificial Intelligence, Condition Monitoring .
The important sources of vibration generation considered here are as the non-linear stiffness/damping and localized defects of the contacting surfaces of bearing elements. It also covers non-linear dynamic mathematical modeling of cylindrical roller bearing for localized defects. The numerical integration technique Newark-has been used for solution of the system equations. The parameter of study for cylindrical roller bearings is rotor speed. Results have been analyzed by Fast Fourier Transform (FFT), phase plot and Poincare maps. focus on use of multi-parameters, synthesis of fault features and optimization of feature sets, in order to improve fault diagnostics accuracy, which would thus enhance machinery reliability, availability, safety, and reduce maintenance costs. The complex and non-stationary vibration signals with a large amount of noise make fault detection of rolling element bearings very challenging, especially at the early stage. Daubechies wavelet is popular for smoothing of signals so, it is chosen for reducing the background noise from raw vibration signal. This research investigates the possibilities of improving machinery diagnostics accuracy based on time domain features and various intelligence techniques like artificial neural network, support vector machine.

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IJARIIE Wasimul Haque, Anil Verma, Dr.G.R.Selokar, and Omshankar Jhariya. "A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 5 2019 Page 94-99
MLA Wasimul Haque, Anil Verma, Dr.G.R.Selokar, and Omshankar Jhariya. "A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 5.5(2019) : 94-99.
APA Wasimul Haque, Anil Verma, Dr.G.R.Selokar, & Omshankar Jhariya. (2019). A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education, 5(5), 94-99.
Chicago Wasimul Haque, Anil Verma, Dr.G.R.Selokar, and Omshankar Jhariya. "A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 5 (2019) : 94-99.
Oxford Wasimul Haque, Anil Verma, Dr.G.R.Selokar, and Omshankar Jhariya. 'A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 5, 2019, p. 94-99. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/A_REVIEW_ON_BEARING_CONDITION_MONITORING_AND_DIAGNOSIS_THROUGH_VIBRATION_AND_ARTIFICIAL_INTELLIGENCE_TECHNIQUES_ijariie10815.pdf (Accessed : 02 January 2020).
Harvard Wasimul Haque, Anil Verma, Dr.G.R.Selokar, and Omshankar Jhariya. (2019) 'A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, 5(5), pp. 94-99IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/A_REVIEW_ON_BEARING_CONDITION_MONITORING_AND_DIAGNOSIS_THROUGH_VIBRATION_AND_ARTIFICIAL_INTELLIGENCE_TECHNIQUES_ijariie10815.pdf (Accessed : 02 January 2020)
IEEE Wasimul Haque, Anil Verma, Dr.G.R.Selokar, and Omshankar Jhariya, "A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 5, pp. 94-99, Sep-Oct 2019. [Online]. Available: http://ijariie.com/AdminUploadPdf/A_REVIEW_ON_BEARING_CONDITION_MONITORING_AND_DIAGNOSIS_THROUGH_VIBRATION_AND_ARTIFICIAL_INTELLIGENCE_TECHNIQUES_ijariie10815.pdf [Accessed : 02 January 2020].
Turabian Wasimul Haque, Anil Verma, Dr.G.R.Selokar, and Omshankar Jhariya. "A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 5 (02 January 2020).
Vancouver Wasimul Haque, Anil Verma, Dr.G.R.Selokar, and Omshankar Jhariya. A REVIEW ON BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH VIBRATION AND ARTIFICIAL INTELLIGENCE TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 02 January 2020]; 5(5) : 94-99. Available from: http://ijariie.com/AdminUploadPdf/A_REVIEW_ON_BEARING_CONDITION_MONITORING_AND_DIAGNOSIS_THROUGH_VIBRATION_AND_ARTIFICIAL_INTELLIGENCE_TECHNIQUES_ijariie10815.pdf
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