Condition Based Maintenance (CBM)

Condition Based Maintenance (CBM) is a maintenance strategy that monitors the actual condition of an asset to decide what maintenance should be performed. The CBM states that maintenance should be performed only when certain indicators show signs of decreased performance or upcoming failures. Equipment review based on those indicators should include non-invasive measurements, visual inspections, performance information and scheduled tests. The condition measurement information must be collected every certain interval or continuously (when the equipment has internal sensors).

CBM development work approach

A software tool for maintenance monitoring should consider the following points:

  1. Maintenance engineering: with a high expertise in Development of Optimized Maintenance Plans, a high capacity to discern between critical needs or not, and a broad knowledge of the maintenance needs of different sectors.
  2. Technology: experience implementing and integrating technologies to connect machines and devices; detect, collect and process data locally; provide the communications technologies necessary to transport data and develop customized computing platforms.
  3. Advanced Analytics: experience in the field of Bussiness Intelligence and Bussiness Analytics, high degree of involvement in statistical studies, numerical analysis and Artificial Intelligence projects (data organization, data preparation and modeling).
  4. Predictive analysis: support for the implementation of monitoring systems and analysis of data sources, measurement and remote predictive diagnosis.

PIPER, in collaboration with the appropriate technology and tools offered by the PI System of OSIsoft, integrates the necessary information of the assets to then execute a correct advanced analysis, optimize the way of making decisions based on statistical models; it also allows to develop an adequate Maintenance Plan Based on Conditions to finally offer the possibility of increasing productivity, maximizing equipment availability time and reducing operating costs.

 

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