• Madhurima Sharma
• Dr. Shailja Sharma

To satisfy the demands of a more difficult and quickly changing industry, future manufacturing processes will need to be more adaptable. They must allow greater use of info, ideally all of it. Low-level details can be refined to actual knowledge for decision-making to encourage competition via timely decisions and informed. The automotive sector has a significant impact on economic and social growth. Since it is a common idea for colleges and research centers, the Industry 4.0 program has attracted a lot of support from the market and academic communities. Industry 4.0, as well as its synonyms such as Smart Production, Smart Manufacturing, and the (Internet of Things) IOT, have been recognized as significant suppliers to the digital manufacturing and automated climate. Industry 4.0 (I4.0), smart networks, (ML) machine learning, a branch of (AI) artificial intelligence, and PdM (predictive maintenance) methods are now frequently employed in factories to control the strength of manufacturing tools. Digital convergence for I4.0, computerized management, communication networks and information techniques, it is quite easy to gather vast quantities of process and functional situations information produced by various parts of tools and produce data for diagnostic and automatic fault detection with the intention of reducing downtime and increasing component utilization rate. This paper goals to offer a complete evaluation of current developments in machine learning methods broadly useful to PdM for smart manufacturing in I4.0 through categorizing the study based on the ML algorithms. In this paper future prediction of temperature is done using the time series analysis and multivariate analysis.

4.0, IOT, Lean manufacturing, Predictive maintenance, CPA

"IOT and ML architecture for predictive maintenance in industry 4.0 ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.e595-e606, July-2022, Available :http://www.jetir.org/papers/JETIR2207476.pdf

"IOT and ML architecture for predictive maintenance in industry 4.0 ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppe595-e606, July-2022, Available at : http://www.jetir.org/papers/JETIR2207476.pdf