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Webinar

From Routes to Reasoning: How wireless sensors and AI are redefining vibration analysis

Learn how wireless vibration sensors and AI are transforming the technology, scale and diagnostics available to today's vibration analyst, and what that means for how plants manage reliability.

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    September 30, 12:00 PM Central Time

Check the corresponding time for your country when you register.

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Webinar Gratuito

From Routes to Reasoning: How wireless sensors and AI are redefining vibration analysis

Learn how wireless vibration sensors and AI are transforming the technology, scale and diagnostics available to today's vibration analyst, and what that means for how plants manage reliability.

Imagem palestrantes
  • Yellow Bullet Icon
    September 30, 12:00 PM Central Time

Check the corresponding time for your country when you register.

Aprenda a integrar vibração, termografia, lubrificação e assinatura elétrica para elevar a precisão dos diagnósticos e melhorar seus resultados de manutenção.

Vibration analysis isn't what it used to be

In this webinar, you will learn how wireless sensors and AI are changing the way vibration analysts diagnose, scale and act on data. The tools have evolved. So has the analyst's role.

Reliability leaders who stay ahead are not just collecting more data. They are rethinking how that data becomes a decision.

Is your predictive maintenance program keeping up with the technology?

Wireless sensors have expanded what is possible to monitor and algorithms have evolved to process that scale. But many predictive maintenance programs still run on routes and workflows built for a different era. The plants getting ahead are the ones integrating vibration monitoring into how the whole operation makes decisions, not treating it as a separate task.

A session for maintenance, reliability and asset management professionals

Content designed for maintenance, reliability engineering and asset management professionals who want to connect wireless sensor technology and AI-driven analysis to day-to-day decision-making.

Aula 1 | A lubrificação combinada com a análise de vibração

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Alejandro Erives

Maintenance & reliability systems specialist

DYNAMOX

Aula 1 - Confiabilidade de Pessoas

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Deyvid Pacheco de Souza

Moderator

Dynamox

Alejandro brings experience in refining, heavy industry and industrial services, specializing in failure analysis, predictive maintenance and Industry 4.0 solutions. His work focuses on turning reliability theory, especially predictive maintenance concepts, into practical, data-driven actions that reduce risk and improve performance.

A session for maintenance, reliability and asset management professionals

Content designed for maintenance, reliability engineering and asset management professionals who want to connect wireless sensor technology and AI-driven analysis to day-to-day decision-making.

Aula 1 | A lubrificação combinada com a análise de vibração

Imagem palestrante

Alejandro Erives

Maintenance & reliability systems specialist

DYNAMOX

Aula 1 - Confiabilidade de Pessoas

Imagem palestrante

Moderator

Dynamox

Deyvid Pacheco de Souza

Alejandro brings experience in refining, heavy industry and industrial services, specializing in failure analysis, predictive maintenance and Industry 4.0 solutions. His work focuses on turning reliability theory, especially predictive maintenance concepts, into practical, data-driven actions that reduce risk and improve performance.

What you will learn:

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    How wireless vibration sensors have changed the technology, scale and diagnostics available to today's vibration analyst
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    The evolution of algorithms behind vibration monitoring and what it means for day to day analysis
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    How predictive maintenance programs are now managed and integrated into overall plant operations
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    Live Q&A with the specialists

This webinar is 100% free, streamed live on YouTube and includes a certificate of attendance.

Dynamox S.A.

Rua Coronel Luiz Caldeira, nº 67, bloco C - Condomínio Ybirá Bairro Itacorubi, Florianópolis/SC, CEP 88.034-110 | Telefone: +55 48 3024-5858