Cloud-Based Predictive Maintenance and Machine Monitoring for Intelligent Manufacturing for Automobile Industry

Abstract

The concept of predictive analysis plays complex information retrieval and categorization systems are needed to process queries, filter, and store, and organize huge amount of data, which are mainly composed of texts. As soon as datasets becomes large, most information combines with algorithms that might not perform well. Moreover, prediction is important in today's industrial purposes since that could reduce the issues of heavy asset loss towards the organization. The purpose of prediction is necessary in every field since it could help us to stop the cause of occurring the error before any vulnerable activities could happen. Predictive maintenance is a method that consumes the direct monitoring of mechanical condition of plant equipment to decide the actual mean time to malfunction for each preferred machine. The authors try to estimate the fault that could occur in the machines and decide the time that could cause a critical situation. This prediction should be done effectively, and for this purpose, they have stepped into the concept of machine learning.