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What is Remaining Useful Life (RUL)

Chapter 17
Enhancing Performance, Efficiency, and Security Through Complex Systems Control
It is a concept used in predictive maintenance and reliability engineering. It refers to the estimated remaining operational lifespan of a component, system, or asset before it is expected to fail or no longer perform its intended function effectively. RUL is typically determined through data analysis and predictive modelling techniques that consider factors such as historical usage patterns, environmental conditions, and degradation characteristics of the asset. By estimating the RUL, organizations can proactively schedule maintenance or replacement activities, optimize resource allocation, and minimize downtime or unexpected failures.
Published in Chapter:
Prediction of Remaining Useful Life of Batteries Using Machine Learning Models
Jaouad Boudnaya (Moulay Ismail University, Morocco), Hicham Laacha (Moulay Ismail University, Morocco), Mohamed Qerras (Moulay Ismail University, Morocco), and Abdelhak Mkhida (Moulay Ismail University, Morocco)
Copyright: © 2024 |Pages: 20
DOI: 10.4018/979-8-3693-0497-6.ch017
Abstract
Predictive maintenance is a maintenance strategy based on monitoring the state of components to predict the date of future failure. The objective is to take the appropriate measures to avoid the consequences of this failure. For this reason, the authors determine the remaining useful life (RUL) which is the remaining time before the appearance of the failure on the component. It is an important approach that allows the prediction of aging mechanisms likely to lead components to failure. In this chapter, a new methodology for predicting the remaining useful life of components is proposed using a data-driven prognosis approach with the integration of machine learning. This approach is illustrated in a battery case study to predict the remaining useful life.
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