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RMC-09-32 Artesis – Simplifying Predictive Maintenance Using Modeling Techniques for Condition Monitoring
Jack Hamilton, MDS, Inc., Loveland, CO, Dr. Ahmet Duyar, Artesis A.S., Gebze Kocaeli, Turkey
Format:
Electronic (digital download/no shipping)
Associate Member, International Member, Petrochemical Member, Refining Member -
$0.00
Government, NonMember -
$25.00
Description:
Maintenance is now a critical management issue. The cost of maintenance may represent as much as twenty percent of fixed manufacturing costs, and driving it down has a significant impact on profitability. Additionally poor maintenance practices result in frequent breakdowns and unnecessary interventions that can halve equipment productivity. Predictive maintenance was first introduced to address both of these challenges by providing advance warning of equipment faults through the use of condition monitoring systems.
Product Details:
Product ID: | RMC-09-32 |
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Publication Year: | 2009 |