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Felipe André Zeiser on Muck Rack

Felipe André Zeiser

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Articles

A degradation index model for maintenance prediction run-to-failure in production systems

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By Tiago Zonta, Rafael Kunst, Felipe André Zeiser, Gabriel de Oliveira Ramos
| Nature Verified
Abstract Timely asset maintenance remains a critical challenge in Industry 4.0 environments. Predictive Maintenance aims to anticipate failures and estimate Remaining Useful Life (RUL), enabling cost reduction and minimizing production downtime. However, real-world industrial scenarios are often characterized by noisy telemetry data, incomplete information about operating conditions, and weak degradation signals, which limit the effectiveness of conventional data-driven approaches.
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