Oct. 2, 2023, 3:07 p.m. | Aman Steinberg

Towards Data Science - Medium towardsdatascience.com

Analyzing thermal cycles for Remaining Useful Lifetime predictions

Image by Author using this tool under CreativeML Open RAIL-M license.

Introduction

In today’s data-driven world, businesses are increasingly turning to technology to optimize their operations and reduce downtime. Be it power supplies, wind turbines, transistors, engines — sensors collect data from various components during all stages of a product’s life cycle: from development via manufacturing to operation, companies monitor their products digitally.

Hence, predictive maintenance, condition-based maintenance and condition monitoring …

author businesses components data data-driven data science downtime license life machine learning maintenance operations power predictive maintenance product rail reduce sensors technology tool wind turbines world

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