PROJECT TITLE :

A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data

ABSTRACT:

In this paper, we tend to propose to outline the problem of predicting the remaining helpful life of a component as a binary classification task. This approach is particularly useful for problems in that the evolution of the system condition is described by a mixture of a big range of discrete-event diagnostic data, and for which various approaches are either not applicable, or are solely applicable with vital limitations or with a massive computational burden. The proposed approach is demonstrated with a case study of real discrete-event information for predicting the occurrence of railway operation disruptions. For the classification task, Extreme Learning Machine (ELM) has been chosen as a result of of its sensible generalization ability, computational potency, and low needs on parameter tuning.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : An Analytical Approach for Soil and Land Classification System using Image Processing ABSTRACT: Land mapping and classification have piqued the interest of experts in recent decades for a variety of reasons.
PROJECT TITLE : Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification ABSTRACT: The goal of aspect-level sentiment classification is to determine the sentiment polarities of distinct aspects
PROJECT TITLE : Classification Algorithms based Mental Health Prediction using Data Mining ABSTRACT: Mental health reveals a person's emotional, psychological, and social well-being. It has an impact on how a person thinks, feels,
PROJECT TITLE : Classification and Summarization for Informative Tweets ABSTRACT: Microblogging services such as Twitter, Facebook, and others have evolved into a significant platform for people to express their thoughts, desires,
PROJECT TITLE : Classification of Online Toxic Comments Using Machine Learning Algorithms ABSTRACT: Toxic comments are online remarks that are insulting, abusive, or inappropriate, and frequently cause other users to quit a

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry