Download This PaperA Survey: Predictive Maintenance Modeling using Machine Learning Techniques
4 Pages Posted: 1 Apr 2020
Date Written: March 31, 2020
Abstract
This is the survey paper which includes abstract of multiple references for better understanding of the topic. This paper includes brief overview about predictive maintenance and some of its application were its used as well as older research is also taken into account which discuss various methodology for Predictive Maintenance using Multiple Classifier Approach by Machine Learning. Predictive Maintenance is introduced into various Industries and sectors. It helps to predict the condition of equipment of machine which are already in use this tells whether the maintenance is required or not. This technique ensures that cost saving has done, as compare to regular maintenance where unnecessary replacements have been done without proper utilization of resources. The main advantage of this Technique is that it can allow timely and convenient scheduling of corrective maintenance and can prevent unexpected failures. If in advance we know which that part needs maintenance we can plan and work accordingly. This is continuous and iterative process the model or algorithm continue to evolve as it used.
Keywords: Predction; Classifier; Resources
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