Fubex

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Oil Analysis

Performing an effective oil analysis helps identify possible issues of wear, contamination, and changes that could affect the performance and health of mechanical parts.

At Fubex, we support our clients with our Used Oil Analysis Programme aimed at enhancing productivity and equipment reliability through Condition Based Monitoring (CBM). This approach significantly reduces Engine/Machine/Equipment downtime and prevents catastrophic damage. Another valuable test to consider is Oil Condition Monitoring (OCM), providing vital insights into machine wear and lubricant conditions. Crucial maintenance decisions can be made based on the outcomes of such tests, preventing potential problems before major repairs are necessary.

Oil analysis reveals information that can be broken down into three categories: Lubricant Condition, Contaminants, and Machine Wear.

Understanding the status of the analyzed oil in each of these three categories can help find the best way to prolong machine life and enhance performance. Proper testing and analysis ensure optimal performance by using the right fluid for the right part.

Key Features:

  • Comprehensive analysis covering wear, contamination, and performance changes.
  • Detailed reports enable proactive maintenance decisions.

  • Tailored solutions for optimizing equipment lifespan and performance.

Benefits to the Distributors:

  • Improved productivity and equipment reliability.
  • Reduced downtime and mitigate risk of catastrophic damage.

  • Enhanced customer satisfaction through proactive maintenance strategies.

Equipment We Use:

  • State-of-the-art testing equipment for accurate and reliable results.
  •  Advanced technology ensures thorough analysis of oil samples.

Process We Follow:

  • Collection of oil samples from designated points.
  • Laboratory analysis covering lubricant condition, contaminants, and machine wear.
  • Generation of detailed reports with actionable insights.
  • Consultation on maintenance strategies based on analysis findings.

Service Areas:

Performing an effective oil analysis helps identify possible issues of wear, contamination, and changes that could affect the performance and health of mechanical parts.

At Fubex, we support our clients with our Used Oil Analysis Programme aimed at enhancing productivity and equipment reliability through Condition Based Monitoring (CBM). This approach significantly reduces Engine/Machine/Equipment downtime and prevents catastrophic damage. Another valuable test to consider is Oil Condition Monitoring (OCM), providing vital insights into machine wear and lubricant conditions. Crucial maintenance decisions can be made based on the outcomes of such tests, preventing potential problems before major repairs are necessary.

Oil analysis reveals information that can be broken down into three categories: Lubricant Condition, Contaminants, and Machine Wear.

Understanding the status of the analyzed oil in each of these three categories can help find the best way to prolong machine life and enhance performance. Proper testing and analysis ensure optimal performance by using the right fluid for the right part.

Key Features:

  • Comprehensive analysis covering wear, contamination, and performance changes.
  • Detailed reports enable proactive maintenance decisions.
  • Tailored solutions for optimizing equipment lifespan and performance.

Benefits to the Distributors:

  • Improved productivity and equipment reliability.
  • Reduced downtime and mitigate risk of catastrophic damage.
  • Enhanced customer satisfaction through proactive maintenance strategies.

Equipment We Use:

  • State-of-the-art testing equipment for accurate and reliable results.
  • Advanced technology ensures thorough analysis of oil samples.

Process We Follow:

  • Collection of oil samples from designated points.
  • Laboratory analysis covering lubricant condition, contaminants, and machine wear.
  • Generation of detailed reports with actionable insights.
  • Consultation on maintenance strategies based on analysis findings.

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