Please use this identifier to cite or link to this item:
Title: Predictive Analytic Framework for Machine State Classification and Remaining Useful Life Prediction Using Machine Learning
Researcher: Sharanya S
Guide(s): Revathi Venkataraman
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: SRM University
Completed Date: 2021
Abstract: Predictive analytics has found a predominant place in almost all the fields. It has transformed the perspective of the industrial maintenance activities from preventive to predictive maintenance. Predictive maintenance focus on scheduling the maintenance activity before the onset of failures to reduce the downtime of equipment and to mitigate the effect of failures. This accelerated the deployment of Artificial Intelligence and Machine Learning based prognostic models, to predict the faults in the equipment under study. The existing models are backed by intense feature engineering, which inherently has the threat of overlooking the important features of the data newline
Appears in Departments:Department of Computer Science Engineering

Files in This Item:
File Description SizeFormat 
80_recommendation.pdfAttached File283.29 kBAdobe PDFView/Open
certificate page.pdf190.46 kBAdobe PDFView/Open
chapter 1.pdf387.39 kBAdobe PDFView/Open
chapter 2.pdf264.64 kBAdobe PDFView/Open
chapter 3.pdf601.91 kBAdobe PDFView/Open
chapter 4.pdf781.87 kBAdobe PDFView/Open
chapter 5.pdf863.65 kBAdobe PDFView/Open
chapter 6.pdf155.05 kBAdobe PDFView/Open
curriculum vitae.pdf26.68 kBAdobe PDFView/Open
list of publications.pdf153.03 kBAdobe PDFView/Open
preliminary page.pdf359.14 kBAdobe PDFView/Open
references.pdf297.37 kBAdobe PDFView/Open
title page.pdf138.4 kBAdobe PDFView/Open
Show full item record

Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: