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Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model
March 18, 2024, 4:41 a.m. | Saket Maheshwari, Sambhav Tiwari, Shyam Rai, Satyam Vinayak Daman Pratap Singh
cs.LG updates on arXiv.org arxiv.org
Abstract: In today's technology-driven era, the imperative for predictive maintenance and advanced diagnostics extends beyond aviation to encompass the identification of damages, failures, and operational defects in rotating and moving machines. Implementing such services not only curtails maintenance costs but also extends machine lifespan, ensuring heightened operational efficiency. Moreover, it serves as a preventive measure against potential accidents or catastrophic events. The advent of Artificial Intelligence (AI) has revolutionized maintenance across industries, enabling more accurate and …
abstract advanced arxiv aviation beyond classification costs cs.ai cs.lg defects diagnostics identification industries lstm lstm model machine machines maintenance moving predictive predictive maintenance services study technology type
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