Category 29 · AGL Photometric Testing, Measurement Uncertainty & Laboratory Quality Assurance

AGL-CS-069 — Photometry Result Changes Between Tests

The AGL Knowledge Hub | Engineering Case Study Series. A laboratory photometric investigation where repeated tests of the same fixture produced significantly different results — from calibration verification through thermal stabilization analysis, alignment assessment, environmental monitoring, and procedure standardization.

Case ID

AGL-CS-069

Category

AGL Photometric Testing, Measurement Uncertainty & Laboratory Quality Assurance

Level

Expert

Case Type

Engineering Simulation

Primary Skill

Investigation of changing photometric results between repeated laboratory tests

Important: This is an engineering simulation created for training. It is not presented as an actual airport incident. All readings, values, dates and outcomes are illustrative, and no airport, organisation, person or manufacturer is identified or implied.

1Case Study Overview

During routine laboratory photometric testing of a runway edge LED light, the same fixture was tested twice within a 48-hour period using the same goniophotometer.

The first test produced compliant photometric results, while the second test showed a 12% reduction in peak intensity and measurable changes in beam distribution.

The manufacturer questioned the validity of the laboratory results, arguing that the fixture had not been modified between tests.

A detailed investigation was initiated covering measurement repeatability, equipment calibration, environmental conditions, fixture stabilization, optical alignment, power-supply stability, and measurement uncertainty.

The investigation identified combined effects of fixture thermal stabilization, optical positioning variation, and laboratory environmental conditions, which produced measurable differences between repeated photometric tests.

This case demonstrates that photometric result variation can occur even when testing the same fixture, and the investigation must be based on measurement science rather than assumptions.

2Learning Objectives

After completing this case study, the learner should be able to:

  • Investigate changing photometric results between tests.
  • Evaluate measurement repeatability and reproducibility.
  • Assess goniophotometer calibration.
  • Analyze fixture stabilization effects.
  • Understand measurement uncertainty.
  • Identify laboratory environmental influences.
  • Develop reliable photometric testing procedures.

3System Background

Photometric testing depends on:

  • Equipment calibration.
  • Angular positioning accuracy.
  • Detector calibration.
  • Power-supply stability.
  • Fixture stabilization.
  • Ambient temperature.
  • Optical cleanliness.
  • Alignment repeatability.
  • Measurement methodology.

Common causes of changing results include:

  • Thermal stabilization differences.
  • Alignment variation.
  • Power variation.
  • Detector calibration drift.
  • Ambient temperature changes.
  • Fixture aging.
  • Optical contamination.
  • Measurement uncertainty.

Photometric testing is a precision metrology process.

4Problem Statement

Test results:

Parameter Test 1 Test 2
Peak intensity 52,400 cd 46,100 cd
Beam center Normal Slight shift
Vertical spread Normal Reduced
Horizontal spread Normal Slightly reduced
Chromaticity Pass Pass

The same fixture produced significantly different photometric results.

5Initial Observations

Same fixture Yes
Same laboratory Yes
Same goniophotometer Yes
Same operator Yes
Different result Yes

The variation required systematic investigation.

6Initial Engineering Hypotheses

The laboratory team considered:

Hypothesis A

Equipment calibration error.

Hypothesis B

Fixture degradation.

Hypothesis C

Alignment variation.

Hypothesis D

Thermal stabilization difference.

Hypothesis E

Measurement uncertainty.

7Measurement Repeatability Principle

Repeatability → Same equipment → Same conditions → Same operator → Consistent results
Variation → Environmental changes → Alignment differences → Thermal changes → Measurement uncertainty → Different results

Photometric testing requires controlled measurement conditions.

8Test Equipment

The investigation used:

  • Precision goniophotometer.
  • Reference standard lamp.
  • Calibrated photometer.
  • Temperature logger.
  • Humidity logger.
  • Regulated power supply.
  • Alignment verification tools.
  • Measurement uncertainty analysis software.
  • Laboratory calibration records.

9Investigation

Step 1: Equipment Calibration Verification

Calibration records showed:

Detector calibration Valid
Angular encoder Valid
Rotation accuracy Valid
Reference standard Valid

No calibration defect was identified.

Step 2: Repeatability Testing

Five repeated measurements were performed.

Results:

Test Peak Intensity
1 52,200 cd
2 52,000 cd
3 52,350 cd
4 52,180 cd
5 52,260 cd

The system demonstrated good repeatability under controlled conditions.

Step 3: Thermal Stabilization Analysis

Temperature measurements showed:

Condition Fixture Temperature
Test 1 41°C
Test 2 27°C

The fixture had not reached thermal stabilization before Test 2.

LED optical output varied with temperature.

Step 4: Alignment Verification

Laser alignment measurements showed:

  • 0.18° vertical deviation.
  • 0.11° horizontal deviation.

The fixture had been repositioned between tests.

Small angular errors affected measured intensity.

Step 5: Environmental Analysis

Laboratory conditions:

Parameter Test 1 Test 2
Temperature 23°C 19°C
Humidity 46% 62%

Environmental conditions had changed between tests.

Step 6: Power-Supply Verification

Supply measurements showed:

Test Current Voltage
Test 1 Stable Stable
Test 2 Stable Stable

Power supply was not the cause.

Step 7: Uncertainty Analysis

Combined uncertainty contributors:

  • Alignment.
  • Detector uncertainty.
  • Angular positioning.
  • Thermal stabilization.
  • Environmental conditions.

Expanded uncertainty:

±4.8%

The observed 12% variation exceeded expected uncertainty.

10Root Cause

Training-Case Finding

The changing photometric results were caused by combined thermal stabilization and alignment variation, including:

  • Incomplete thermal stabilization before Test 2.
  • Small fixture repositioning errors.
  • Minor environmental differences.

The fixture itself remained electrically healthy.

The measurement process had not been fully controlled between tests.

11Corrective Action

The laboratory:

  1. Established a mandatory thermal stabilization period.
  2. Standardized fixture mounting procedures.
  3. Implemented laser alignment verification.
  4. Controlled laboratory temperature.
  5. Recorded environmental conditions.
  6. Verified repeatability before certification.
  7. Updated testing procedures.
  8. Revised uncertainty documentation.
  9. Trained laboratory personnel.
  10. Updated quality-assurance records.

12Post-Correction Verification

Controlled testing produced:

Test Peak Intensity
1 52,240 cd
2 52,180 cd
3 52,210 cd
4 52,260 cd
5 52,190 cd

Variation was less than 0.2%.

13Root-Cause Analysis

Problem

Different photometric results

Calibration checked

Acceptable

Repeatability checked

Good

Thermal stabilization reviewed

Incomplete

Alignment checked

Variation found

Environmental conditions reviewed

Different

Root Cause

Thermal and alignment variation

Corrective Action

Standardize stabilization and alignment procedures

14Why This Case Was Important

Changing photometric results can affect:

  • Product certification.
  • Factory acceptance testing.
  • Third-party testing.
  • Customer disputes.
  • Compliance decisions.
  • Quality assurance.
  • Laboratory credibility.

Repeatability is a fundamental requirement of photometric metrology.

15Engineering Lessons

01

Photometric testing requires controlled thermal conditions.

Photometric testing requires controlled thermal conditions.

02

Small alignment errors can significantly affect measured intensity.

Small alignment errors can significantly affect measured intensity.

03

Measurement uncertainty must be quantified.

Measurement uncertainty must be quantified.

04

Repeatability testing is essential before drawing conclusions.

Repeatability testing is essential before drawing conclusions.

05

Laboratory procedures must be standardized and documented.

Laboratory procedures must be standardized and documented.

16Engineer's Decision Point

You observe: Same fixture. Same laboratory. 12% difference between tests. Calibration records valid. What should you investigate first?

A. Replace the fixture.
B. Reject the laboratory.
C. Verify thermal stabilization, fixture alignment, environmental conditions, repeatability, and measurement uncertainty.
D. Increase LED current.
Correct answer: C. Changing results with valid calibration point to measurement-process variation. Thermal stabilization, alignment, environmental control, repeatability, and uncertainty analysis will identify the cause without unnecessary fixture replacement or laboratory rejection.

17Knowledge Check

Q1. What was the primary issue?
Answer: Photometric results changed between repeated tests.
Q2. Was the fixture necessarily defective?
Answer: No.
Q3. What caused the variation?
Answer: Thermal stabilization and alignment variation.
Q4. Why is repeatability important?
Answer: It verifies the reliability of the measurement process.
Q5. What restored consistent results?
Answer: Standardized stabilization and alignment procedures.

18Interview Questions

Why can photometric results change between tests?
What is thermal stabilization?
How can alignment affect photometric measurements?
What is measurement repeatability?
What is measurement uncertainty?
How would you investigate laboratory result variation?
Why are environmental conditions important?
What quality controls should a photometry laboratory implement?
How would you write a photometric repeatability report?
How would you explain changing results to a manufacturer?

19Frequently Asked Questions

Quick answers about photometric repeatability, thermal stabilization and measurement uncertainty.

Q1What is AGL-CS-069?

AGL-CS-069 is an engineering training case study. It covers a laboratory test where the same runway edge LED light gave different photometric results within 48 hours. It is an engineering simulation created for training, not a report of an actual airport incident.

Q2Why did the same fixture give different results in AGL-CS-069?

Peak intensity was 52,400 cd in Test 1 and 46,100 cd in Test 2, a 12% reduction. The investigation found incomplete thermal stabilization, small fixture repositioning errors and minor environmental differences, not a fixture defect.

Q3Does a photometric difference between two tests mean the fixture changed?

Not necessarily. The fixture stayed electrically healthy. The investigation must rest on measurement science: calibration, repeatability, environment, stabilization, alignment and uncertainty.

Q4How did thermal stabilization affect the result?

The fixture was at 41°C for Test 1 but only 27°C in Test 2, so it had not reached thermal stabilization. LED optical output varies with temperature.

Q5What role did alignment and environment play?

Laser measurements showed 0.18° vertical and 0.11° horizontal deviation after repositioning. Laboratory conditions also changed from 23°C and 46% humidity to 19°C and 62%.

Q6Was the equipment at fault?

No. Detector, angular encoder, rotation accuracy and reference standard calibrations were all valid. Five repeat measurements under controlled conditions ranged from 52,000 to 52,350 cd, and the power supply was stable.

Q7Was the 12% variation within measurement uncertainty?

No. The combined expanded uncertainty was ±4.8%, so the observed 12% variation exceeded what uncertainty alone would explain.

Q8How did the laboratory correct the process?

It set a mandatory thermal stabilization period, standardized mounting, added laser alignment verification, controlled laboratory temperature and recorded environmental conditions. It also verified repeatability before certification and updated procedures, uncertainty documentation and training.

Q9What is the key lesson from this case?

Photometric testing needs controlled, documented conditions. Verify stabilization, alignment and repeatability before treating a result difference as a product failure.

Engineering & Expert Notes

Allow Time for Thermal Stabilisation

Method

Output changes as the fixture warms. Define and record the stabilisation period.

Mark the Fixture Position for Repeat Tests

Repeatability

Small shifts change the result. Use reference marks or jigs.

Quantify Measurement Uncertainty

Uncertainty

Know how much variation to expect before deciding a change is real.

State Test Conditions in the Report

Reporting

Temperature, settings and positions let others interpret the result.

20Case Study Conclusion

Key Engineering Principle

Photometry result changes between tests are often measurement-process problems involving thermal stabilization, alignment repeatability, environmental control, and measurement uncertainty, and reliable photometric evaluation requires controlled laboratory procedures, quantified uncertainty, and demonstrated repeatability.

Systematic calibration verification, repeatability testing, thermal stabilization control, alignment verification, environmental monitoring, and uncertainty analysis can identify the true causes of changing photometric results and ensure reliable ICAO photometric certification.

In AGL engineering, a changing photometric result is not automatically a changing fixture; it is often a changing measurement condition.

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