FTIR in Compressor Oils: From Routine Monitoring to High Value-Added Diagnostics

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By Jorge Alacron, Bureau Veritas
 · 
Published in Precision Lubrication Magazine

In a compressor oil, comparing a new sample with samples in service allows the progressive appearance of oxidation and thermal degradation byproducts to be monitored. This reference methodology is especially useful because each formulation has its own spectral fingerprint — what matters is not only the absolute spectrum but also the change from the original base oil, measured in the oil’s areas and peaks.

Comparing the new sample with used samples makes it easier to detect variations in bands associated with oxygenated functional groups. In the mid-infrared carbonyl region, an increase in absorbance typically reflects the formation of aldehydes, ketones, esters, and carboxylic acids — all related to lubricant oxidation.

This approach allows interpretation of whether the oil is in an early, intermediate, or advanced phase of aging — providing actionable insight at each stage rather than waiting for a functional failure to confirm what the chemistry already knew.


Early Oxidation of the Oil and Evidence of Thermal Degradation

One of the great strengths of FTIR is its ability to detect oxidation early — before the oil reaches a clearly out-of-service state. In compressor oils, this is critical because elevated temperature favors the formation of intermediate species that are then transformed into more aggressive compounds for the system.

Oxidative degradation usually begins with radicals and intermediates that ultimately form aldehydes and ketones. These species can be observed indirectly as changes in the carbonyl zone of the spectrum. Over time, some of these products evolve into carboxylic acids, which increase the oil’s acidity and accelerate corrosion, autocatalytic oxidation, and deposit formation.

Thermal Degradation: The Dimension Standard Labs Often Miss

In compressors with high discharge temperatures, FTIR can detect thermal degradation, not just oxidative. The appearance of byproducts such as lactones is especially relevant — they are associated with advanced thermal degradation pathways and the transformation of oxidized compounds into more complex cyclic structures. A laboratory that reports only an oxidation value from FTIR is discarding this dimension entirely.

The advantage of a reference spectrum is that any increase or modification in the bands is more clearly appreciated. If later samples exhibit more intense behavior than the initial ones, it suggests progression of thermal-oxidative aging. In other words, FTIR not only indicates that the oil has changed — it helps understand how it is changing.

What makes FTIR a truly diagnostic tool is the comparison with a reference sample. A single spectrum tells you what is there. The differential tells you what has changed — and at what rate. The trend is the diagnosis.


Two Compressor Case Study

Two compressors at the same facility. Identical operating conditions. Two very different analytical outcomes — because of how their FTIR data was used.

Compressor 1 — Conventional FTIR Approach

Oxidation-only reporting; problem detected only at failure

Samples from this compressor were sent to an oil analysis laboratory that performed complete analysis using FTIR, but limited to identifying oxidation only. The laboratory could not detect the developing problem — until unplanned stops occurred due to an increase in oil temperature, filter clogging, and the presence of varnishes.

The failure was not the compressor’s. It was the analytical model’s. By the time the standard FTIR reported an oxidation value that warranted concern, the damage was already underway. This case is presented not as an example of poor maintenance, but as a demonstration of what a narrow analytical scope costs in practice.

Compressor 2 — Full-Spectrum FTIR with OilMirror

Four service samples + reference oil; multi-band differential analysis

This compressor was monitored by a laboratory applying a properly adequate FTIR analysis, taking full advantage of the analytical technique. Four service samples were analyzed in addition to the reference oil, providing a longitudinal view of the oil’s chemical evolution.

Sample 1 reflects an early phase of service, where small variations begin to appear due to initial oxidation. Samples 2 and 3 show greater accumulation of oxidation products, with increased carbonyl-associated bands and changes in other functional areas. Sample 4 represents the most advanced stage, where clearer signals of oxidation, thermal degradation, and the potential appearance of more complex byproducts are observed.

This trend reading is more useful than a one-off interpretation of a single sample — lubricant degradation is a progressive process, and FTIR allows us to observe it as a chemical film of the oil’s aging.

OilMirror dashboard showing global oil health scores (95–100, NORMAL) for four compressor oil service samples vs. reference new oil, with superimposed FTIR absorbance spectra overlaid across the 500–4000 cm⁻¹ wavenumber range

Figure 1: FTIR spectra overlay — all service samples vs. reference oil (OILMIRROR)

OilMirror trend chart tracking the integrated peak area of the phenolic antioxidant region at 3650 cm⁻¹ across four compressor oil service samples, with a linear regression trend line showing overall antioxidant depletion over time

Figure 2: Trend of most drastic spectral changes across service samples (OILMIRROR)


Advanced Analysis Using OilMirror

About OilMirror

OilMirror, developed in 2024, applies advanced infrared spectral analysis across the full IR band to detect anomalies and reaction products that alter a lubricant’s chemical composition. It translates this complexity into an intuitive global health index, or a set of focused indicators tailored to specific spectral regions. Designed for asset owners, consultants, and reliability teams, OilMirror empowers lubricant end-users with deep, lab-grade insights — without requiring laboratory expertise.

The FTIR data from the second compressor was uploaded to the OilMirror tool, which analyzes spectra and issues partial results for each FTIR area and peak, as well as a global oil status and a series of recommendations for the compressor maintenance team.

OilMirror comparative table of 45 FTIR compound bands — including antioxidants, oxidation markers, inhibitors, and contaminants — showing percentage change from the reference oil across three compressor oil service samples dated May 2026

Figure 3: Per-area and per-peak evaluation scores across service samples (OILMIRROR)

OilMirror predictive projection panel displaying a stable score trend with a slope of −0.10 points per sample, with estimated attention and critical zone thresholds set at scores below 75 and 45 respectively for compressor oil condition monitoring

Figure 4: Global Condition dashboard output (OILMIRROR)


Value for Predictive Maintenance

In industrial compressors, detecting oil degradation in time has a direct impact on equipment reliability. An oil that begins to degrade can lose lubricating capacity, generate deposits in valves and hot areas, and accelerate wear on critical components. FTIR should therefore be treated as a predictive maintenance tool — not a laboratory control metric that gets filed away after the report is received.

1

FTIR + Viscosity + TAN

Combined with viscosity and TAN measurements, FTIR provides the chemical dimension of the problem — distinguishing simple oil aging from an active degradation mechanism that requires intervention.

2

FTIR + Particle Counting

Particle counting identifies wear debris and solid contamination; FTIR identifies the chemical degradation that generates it. Together, they show both what is happening mechanically and why it is happening chemically.

3

FTIR + Wear Analysis

Wear metals tell you where the compressor is being damaged. FTIR tells you whether the lubricant chemistry is the cause or a contributing factor. The combination enables root-cause analysis — not just problem detection. This is the difference between reactive and predictive maintenance.

The Differential Methodology: Why the Reference Sample Is Non-Negotiable

FTIR without a reference sample is like reviewing a patient’s lab results without a baseline. A single spectrum tells you what compounds are present — but it cannot tell you whether they are increasing, stable, or appearing for the first time. The reference sample is what transforms FTIR from a measurement into a diagnostic tool. Without it, you are reporting; with it, you are monitoring.


Some Final Comments

FTIR applied to industrial oils is a valuable technique for anticipating lubricant degradation. Its ability to identify the formation of aldehydes, ketones, and other oxidation byproducts early — before they evolve into carboxylic acids — is what makes it genuinely predictive rather than merely confirmatory.

The differential methodology also facilitates the detection of signals compatible with lactones and other compounds derived from thermal degradation, which significantly expands the diagnostic scope of the analysis beyond what oxidation value alone can capture.

In air and gas compressors, where thermal and oxidative stress is high, this ability to anticipate is decisive for planning oil changes, avoiding premature failures, and preserving the integrity of the equipment.

FTIR Should Not Be a Confirmatory Test — It Should Be a Leading Indicator

1

Always analyze against a reference oil sample — the differential is the diagnosis, not the absolute spectrum.

2

Require full-band analysis — not just an oxidation value. Thermal degradation markers such as lactones require broader spectral coverage.

3

Track trends across multiple samples — a single FTIR snapshot misses the trajectory. The trend is what drives maintenance decisions.

4

Combine FTIR with complementary techniques — viscosity, TAN, particle counting, and wear analysis — to distinguish chemical aging from active mechanical degradation.

A Question Worth Asking Your Laboratory

Do you still work with a laboratory that only reports oxidation as a parameter of the FTIR analysis? Are you sure of its real value to your maintenance decisions?

The technology to see lubricant degradation before failure exists. The question is whether the analytical program around it is designed to use it — or merely to generate a report.

Author

  • Jorge Alarcon is the EMEA Technical Manager at Bureau Veritas Spain. He has more than 20 years of experience in the industrial field and has implemented and developed more than 1,000 oil analysis and lubrication programs worldwide. He has published research articles in various OCM fields and is currently a Ph.D. student in failure prognosis through grease analysis in the wind power generation industry. Jorge has extensive knowledge of the European, North America, and South American oil condition and predictive maintenance markets. He focuses on customer technical support, improving plant reliability through predictive maintenance tools, and applying data analytics, business intelligence, and digital transformation strategies.

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