As últimas novidades e notícias da indústria de celulose e papel. Artigos técnicos, tendências, tecnologia, inovação, ESG, cursos e mais.

Refining data to predict valve failures

A model is presented for using and refining data to monitor and identify failures early on in control and on-off valves.

ABSTRACT

Notícia continua após o anúncio

A model is presented for utilizing and refining data to monitor and identify failures early on in control and on-off valves. This model can help increase valve reliability, strengthen predictive maintenance, decrease operation risk, and evolve programs adhering to industry 4.0. The maintenance strategy applied in the pulp and paper industry has a direct impact on operation and maintenance costs. In the valve department, there still exists a preventive maintenance culture based on time. Therefore, the purpose of this work is to present a model for utilizing and refining data, providing the steps to structure and develop a predictive work methodology in valves using history and performance trend data presented in valve controllers of valves in the pulp and paper industry.

The methodology is oriented to share with readers to provide fast decision-making, allowing work to be developed with a focus on data refinement, that is, to identify and understand what your valves are “saying” through history or performance trends, to boost operation safety and high valve performance. A Gartner Group study discovered that in industrial plant processes, 50% of preventive maintenance tasks were not necessary and 10% were actually harmful. As a result, the company allocated resources to the “wrong” problems, and it was also possible to identify the inclusion of problems in good valves. Using this methodology oriented at refining data and focusing on valve triage, as presented in this model, guides maintenance teams towards the “right” problems and not spending time in the field working on the “wrong” problems and, consequently, focusing tasks on the valves that are really need attention.

The number of maintenance tasks in the field can be decreased; therefore, industrial plants become a safer place by reducing maintenance teams’ exposure to risk without the real need to remove the valve and thus decrease potential failures and accidents.

Keywords: valve, predictive, performance, data, positioner

O PAPEL vol. 85, N.o 3, pp. 83 – 90 – MAR 2024

Authors:

Guilherme Golfetto1
1
Valmet Flow Control, Brazil

Corresponding author: Golfetto, G: Sorocaba/SP/Brazil – 18087-101. Mobile: +55-15-99130-1678. E-mail: [email protected]

Leia o artigo completo no PDF:

Últimas Notícias

Eldorado amplia monitoramento 24h de florestas e reduz incêndios em 88%

Eldorado reduz incêndios florestais em 88% em 2023 com tecnologia avançada e treinamento.Monitoramento 24h, câmeras AI e capacitação comunitária são os pilares

CMPC mantém plano bilionário e lidera esforços de reconstrução no Rio Grande do Sul

A CMPC reforça compromisso com a região e destaca ações de solidariedade e apoio às comunidades afetadas com o evento climático extremo que assolou a região

Dia de Proteção às Florestas

No Dia de Proteção às florestas, saiba mais sobre as iniciativas do setor de papel e celulose para diminuir e recuperar áreas vítimas das queimadas

Branded Contents

INCAPE forma primeira turma do curso “Mulheres Papeleiras”

Iniciativa da INCAPE reforça o compromisso da empresa com o Pacto Global da ONU, rumo à igualdade de gêner

Thiago Karam Westphalen assume presidência da INCAPE

Thiago Karam Westphalen assume como diretor presidente da INCAPE, com planos de continuar a trajetória de sucesso da família na expansão dos negócios

Destaques Tecnológicos

Destaques tecnológicos do setor: Andritz, Contech, Hergen, Solenis, Valmet E Voith

Compartilhar

Newsletter

Mantenha-se Atualizado!

Assine nossa newsletter gratuita e receba com exclusividade notícias e novidades