A heuristic approach on predictive maintenance techniques: Limitations and scope

In view of the trend towards Industry 4.0, intelligent predictive monitoring and decision-making processes have become a crucial requirement in today’s manufacturing industries to safeguard data exchange industrial assets from damage that would thus prevent achievement overall company goals. For enhanced reliability safe operation machines, frequent maintenance process equipment linked auxiliaries plant is highly desirable. Poor can add downtime, which turn affect cost-effectiveness plant. With traditional strategies planned or timed-based maintenance, one replaces faulty systems when they are found be damaged broken. However, an early proactive prediction machine fault failure state enables industry take necessary action replace system well before it stops operating entirely. This paper briefly reviews available techniques for different applications perspective 4.0. Furthermore, associated challenges opportunities identified discussed.