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Used Oil Analysis

Why Oil Condition Monitoring is Necessary for Predictive Maintenance Schedule?

Apr. 28 2023

Routine Oil Condition Monitoring (OCM) identifies small problems within machinery components before they become catastrophic failures that can incur costly repairs and bring production to a halt. At Bureau Veritas, we understand both the benefits and the unique challenges of maintaining equipment reliability in both industrial and heavy duty applications. To that end, our global OCM services are focused on providing customers with the information necessary for making relevant maintenance management decisions that have a positive impact on the bottom line.

Oil analysis can be applied to equipment and lubricant utilization, maintenance and management.

Utilization
  • Decrease unscheduled downtime
  • Increase overall component lifespan
  • Control lube consumption and oil disposal costs
  • Assist with product selection & comparison
Maintenance
  • Identify and quantify lube contamination and component wear for targeted corrective action
  • Reduce in-service failures and field repairs
  • Establish proper lubricant service intervals
Management
  • Improve reliability, product quality and productivity
  • Improve cost control for equipment, labour
  • Eliminate needless inspections or repairs and materials
  • Control spares and replacement costs

In Bureau Veritas, we have our own in-house LOAMS - Lube Oil Analysis Management System, which makes it easier for equipment managers and maintenance personnel to optimize productivity using real-time OCM data. Using LOAMS - Bureau Veritas clients can:

  • Monitor sampling schedules and submit samples online for fast, accurate laboratory processing
  • View test results immediately
  • Filter data by multiple parameters to manage large accounts or sets of data
  • Graph trends in sample data to identify potential failures in progress
  • Create report distributions for fast communication of critical conditions
  • Move, merge or update equipment information across locations