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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Predictive Maintenance for Industrial Equipment Using Random Forest Regressor |
| Authors Name: | RM.Suganya , D.Pavithra , A.V.R Pooja , A.Revathy |
| Unique Id: | IJSDR2404173 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | A predictive maintenance model that uses a machine learning algorithm to detect equipment issues before they happen. The goal variable is the equipment's remaining useful life, while the data are sensor readings from industrial machinery. The model is constructed in multiple phases, encompassing feature engineering, data preprocessing, and model selection. With a high coefficient of determination on the test set, the final model is a Random Forest Regressor. The outcomes show how predictive maintenance can optimize maintenance schedules, save downtime, and increase equipment reliability. |
| Keywords: | Predictive Maintenance, Machine Learning, Industrial Equipment, Reliability, Efficiency. |
| Cite Article: | "Predictive Maintenance for Industrial Equipment Using Random Forest Regressor", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.1196 - 1200, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404173.pdf |
| Downloads: | 000338175 |
| Publication Details: | Published Paper ID: IJSDR2404173 Registration ID:210972 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 1196 - 1200 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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