Remaining Useful Life Estimation (RUL) For Critical Mechanical Components In Tractor

Author(s)	SAHIL BHAGAT, SANJEEV GUPTA, PARDEEP SINGH
Country	India
Abstract	The proposed framework utilizes an evolutionary mathematical approach to optimize data-related parameters for estimating the Remaining Useful Life (RUL) of critical mechanical components. By integrating advanced time window techniques and considering factors like downtime and failure occurrences, it offers a comprehensive solution for RUL prediction across various industrial contexts. Continuous monitoring systems play a pivotal role by detecting component degradation early, allowing for proactive maintenance and minimizing catastrophic failures. Combining Mean Time to Repair (MTTR) and Mean Time Between Failures (MTBF) offers valuable insights into system performance, enabling proactive maintenance strategies. This review explores mathematical methodologies for predicting RUL in tractors, crucial for enhancing maintenance planning and remanufacturing engineering.
Keywords	Failure analysis,, MTTR, MTTF, MTBF, remaining useful life prediction(RUL)
Field	Engineering
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-06-29
Cite This	Remaining Useful Life Estimation (RUL) For Critical Mechanical Components In Tractor - SAHIL BHAGAT, SANJEEV GUPTA, PARDEEP SINGH - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23581
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.23581
Short DOI	https://doi.org/gt24wv

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research