Article | REF: MT9573 V1

Predictive maintenance : technologies and methods

Author: Gilles ZWINGELSTEIN

Publication date: August 10, 2025 | Lire en français

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1. Origins and challenges of predictive maintenance

Predictive maintenance aims to optimize the performance of industrial equipment by anticipating failures using advanced techniques such as remaining useful life (RUL) estimation. First introduced in the 1980s, it enjoyed a major boom in the 1990s with technological advances, notably the rise of IoT sensors, data analysis and artificial intelligence. Its main objectives are to reduce unplanned downtime, extend machine life and cut operating costs. As well as improving profitability, it contributes to more sustainable resource management and a reduction in the carbon footprint of equipment.

1.1 Predictive maintenance context

For more than two centuries, the introduction of machines into the industrial age has confronted production managers with the problem of...

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Origins and challenges of predictive maintenance
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