Why You Should Report Your Oil Analysis in Spartakus APM

Oil analysis is a key technique in predictive maintenance, helping industries monitor equipment condition. By examining oil samples for contaminants, wear particles, and degradation, maintenance teams can detect early signs of equipment failure long before a breakdown occurs. However, many organizations conduct oil analysis without fully integrating the results into their broader maintenance strategy.

Spartakus APM offers a robust solution by enabling teams to consolidate oil analysis data alongside other predictive and preventive maintenance (PM) insights.

This integration empowers maintenance teams to detect patterns, validate findings, and make data-driven decisions that improve asset reliability and operational efficiency.

What Is Oil Analysis and Why It Matters?

Oil analysis is a diagnostic technique that assesses the condition of lubricants and the mechanical health of assets. It plays a critical role in predictive maintenance by helping teams detect:

• Wear particles that indicate early-stage mechanical degradation.
• Contaminants such as dirt, water, and fuel, which can accelerate component wear.
• Oil degradation from oxidation or additive depletion, reducing lubrication effectiveness.

The Problem: Siloed Oil Analysis Reports

Many organizations perform oil analysis regularly but fail to integrate the findings into their APM system. Instead, reports are often stored in separate databases or spreadsheets, making it difficult to correlate the results with other key indicators.

This lack of integration can lead to:

• Missed failure indicators: If oil analysis results show an increase in metal particles, but the data is not compared to other condition-based monitoring technics, teams may overlook a developing mechanical issue.
• Delayed response times: Without centralized visibility, maintenance teams may not act on oil anomalies until a failure occurs.
• Inefficient maintenance planning: Maintenance actions may be scheduled based on rigid intervals rather than real asset conditions.

The Solution: Cross-Referencing Oil Analysis in Spartakus APM

Spartakus APM eliminates data silos by allowing maintenance teams to integrate oil analysis results directly into their asset performance monitoring system. The platform connects to laboratory web portals via APIs, automatically querying the data and bringing it into Spartakus, eliminating the need for manual data entry.

This integration enables powerful cross-referencing with other maintenance techniques, such as:

• Vibration Analysis: Identify early-stage mechanical wear and confirm oil-related issues.
• Thermography: Detect excessive heat that could accelerate oil degradation.
• Ultrasound Analysis: Pinpoint lubrication issues before they cause damage.

By consolidating these insights, Spartakus APM provides greater visibility to stakeholders and facilitates the identification of bad actors, ensuring a more proactive and informed approach to asset reliability.

Business Case

171 000$ Saved Thanks to Cross-Analyzed Oil and Vibration Analysis

A manufacturing plant avoided significant costs by linking oil analysis with vibration data. Detecting an increase in wear particles in a gearbox, the team compared the findings with vibration trends, confirming an impending failure. This insight enabled them to plan a controlled repair, preventing an unplanned shutdown and saving $171,000.

Learn more here: How Predictive Maintenance In Spartakus APM Saved Over $171k

Conclusion

Oil analysis is a powerful predictive maintenance tool, but its true value is only realized when combined with other maintenance data. By reporting oil analysis in Spartakus APM, organizations can break down data silos, enhance decision-making, and prevent costly equipment failures.

Spartakus APM seamlessly connects with any laboratory through API integration, ensuring automatic data retrieval without manual effort. This allows maintenance teams to transform isolated oil data into actionable insights. Start integrating your oil analysis today to improve asset reliability and maintenance efficiency across your operations.

Raphael Tremblay,
Spartakus Technologies
[email protected]