The Early Warning Project on Predictive Maintenance: Advance Warning and Problem Avoidance in Complex Industrial Processe

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Date:

01-10-2008
Vendor:

SAS Institute
Registration:

Required
Type:

Whitepapers
File size:

1.5 MB
Format:

PDF, Acrobat Reader
Pages:

26

Publisher’s description

Complex, capital-intensive industries (such as oil and gas, chemical, steel, paper, aerospace, the military) as well as high-value, long service-life product manufacturers face a pressing demand to minimize unplanned maintenance, achieve higher asset uptime and meet regulatory compliance mandates. The use of basic monitoring consoles provided by asset manufacturers that are limited in scope and provide isolated views are prevalent in these industries. The processes are driven mostly by domain knowledge and biased judgment, and are resource-intensive, time consuming and create many false alerts. This is truly reactive maintenance, which means fixing a problem as quickly as possible after it occurred.

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The Early Warning Project on Predictive Maintenance: Advance Warning and Problem Avoidance in Complex Industrial Processe