Drone inspection of a utility-scale solar array used to identify solar panel defect types

This is the field reference guide to solar panel defect types found by drone inspection, covering every fault detectable with thermal and RGB imaging. Use it to understand thermal signatures, assess revenue impact, and prioritise your repair backlog.

Whether you’re reviewing a drone solar inspection report, training a solar panel maintenance team, or evaluating what your current inspection programme is finding (and missing), this guide covers the complete fault taxonomy used by professional solar inspection programmes.

Key takeaway: 12 fault conditions covered with thermal signatures, ΔT ranges, revenue impact, and repair urgency. Hotspots >80°C = CRITICAL. String open-circuit = CRITICAL. Bypass diode failures = HIGH.


How Solar Panel Faults Are Classified

Solar panel faults are classified along three independent axes:

Side-by-side RGB and thermal drone images of a solar farm highlighting hot spots, string outages and soiling
RGB and thermal views of the same array: hot spots, string outages and soiling each leave a different visual and thermal signature.

By Detection Method

MethodDetectsRequirements
Thermal imagingMost electrical faultsDaytime, irradiance >400 W/m²
RGB/visual imagingStructural, soiling, physical damageDaytime, high-resolution camera
Electroluminescence (EL)Micro-cracks, cell defectsNight inspection, darkened conditions
Electrical testingIV curve, insulation resistancePhysical access, test equipment

By ΔT Severity Band (Common Industry Practice)

Severity BandTemperature DeltaAction Required
Band 1ΔT 10–20K above backgroundMonitor; next maintenance
Band 2ΔT 20–40K above backgroundRepair within 30 days
Band 3ΔT >40K above backgroundImmediate action required

These ΔT bands are common industry practice for grading thermal anomalies, not limits taken from the standard. IEC TS 62446-3, published by the IEC (International Electrotechnical Commission), defines the conditions and method for infrared inspection of PV plants and grades findings by Class of Abnormality (CoA); it does not set these ΔT bands.

By Repair Urgency

UrgencyTimelineExamples
CRITICALImmediateHotspot >80°C, string open-circuit
HIGH7–30 daysHot MC4 connector, bypass diode failure
MEDIUMNext maintenance cycleDelamination, bird dropping soiling
LOWMonitorInactive micro-cracks, dust soiling

Bypass Diode Failures

What They Are

Each solar panel contains 3 bypass diodes, each protecting a group of approximately 20–24 solar cells. The bypass diode’s function is protective: when one cell in its group is shaded or underperforming, the diode activates to route current around that cell group rather than allowing it to become a load resistor.

When the bypass diode itself fails, it fails in one of two modes:

Failure ModeWhat HappensThermal Signature
Short-circuit failureDiode permanently activates, forcing cell group into reverse biasRectangular hot zone covering 1/3 of module; ΔT 20–40K
Open-circuit failureDiode fails to activate when neededNo thermal signature until shaded; then extreme temperatures

Revenue Impact

Repair Urgency

Repair Action


Hotspots

What They Are

A solar panel hot spot is localised overheating of a single solar cell or small group of cells to a temperature significantly above the surrounding module. Hotspots are caused by:

Thermal drone image of solar modules used to spot localised cell overheating
Thermal imagery is the primary way to find and grade hotspots from the air.

Thermal Signature

Temperature Thresholds

TemperatureRisk LevelAction
50°C above ambientSignificant degradation acceleration beginsMonitor closely
80°C absoluteFire risk thresholdImmediate action required
100°CActive hazard — documented panel firesShutdown immediately

Revenue Impact

Repair Urgency


Soiling and Shading

What It Is

Soiling refers to deposits on the panel surface that reduce incident irradiance on affected cells:

TypeImpactPattern
Bird droppingsHigh-opacity; block light entirelyLocalised; can force entire cell group into bypass
Dust accumulationGradual performance loss across panelUniform; site-wide PR reduction
Vegetation debrisLeaves, seeds, pollenSeasonal; clumped rather than uniform

Thermal Signature

Revenue Impact

Repair Urgency


Potential-Induced Degradation (PID)

What It Is

Potential-Induced Degradation is caused by leakage current flowing through the module from the high-voltage DC circuit to the module frame or mounting structure (grounded). The voltage differential drives ionic migration through the glass — primarily sodium ions — which deposit on the cell surface and interfere with the photovoltaic effect.

PID predominantly affects: p-type crystalline silicon cells (both mono and multicrystalline)
Lower susceptibility: n-type cells (TOPCon, HJT)

Risk Factors

Thermal Signature

Revenue Impact

Reversibility


Micro-Cracks and Cell Cracks

What They Are

Physical fractures in the silicon wafer of solar cells, caused by:

Detection Methods

MethodDetectsLimitations
Thermal imagingOnly electrically active cracksMany micro-cracks are electrically inactive (no thermal signature)
Electroluminescence (EL)All cracks (active + inactive)Requires darkened conditions + direct electrical connection

Thermal Signature

Revenue Impact


Delamination

What It Is

Delamination is the separation of the encapsulant layer (typically ethylene-vinyl acetate, EVA) from the glass front sheet or backsheet. This creates air pockets within the module laminate structure.

Causes

Thermal Signature

Risk Progression

Repair Urgency


String and Connection Faults

What They Are

Failures at electrical connection points in the solar string:

Fault TypeFailure ModeConsequence
MC4 connector failuresOxidation, contamination, improper mating, physical damageResistance increase → localised heating
Junction box failuresLoose connection to severe (arcing, fire)Range from minor to critical
String open-circuitComplete break in string electrical pathComplete loss of string generation

Thermal Signature

FaultThermal PatternΔT Range
MC4 connector failureSmall, intensely hot point at connection30–80K
String open-circuitEntire string uniformly cold/dark — no current flowN/A (most dramatic pattern)

Revenue Impact

Fault TypeAnnual Loss
Faulty MC4 connector$500–2,000/year per connector
String open-circuit$2,000–5,000/year per string (complete loss)

Repair Urgency


Tracker and Mounting Structure Faults

What They Are

Physical issues with solar tracker system (for tracking arrays) or fixed mounting structure:

Detection Method

Thermal Relevance

Revenue Impact


Complete Fault Reference Table

Fault TypePrimary DetectionThermal SignatureΔT RangeRevenue Impact/YearUrgencyRecommended Action
Hotspot (critical)ThermalSingle cell, intense heat>40K$100–500/panelCRITICALImmediate investigation, replace if >80°C
String open-circuitThermalEntire string coldN/A$2,000–5,000/stringCRITICALSame-day investigation
Hot MC4 connectorThermalSmall intense hot point30–80K$500–2,000HIGHRepair within 7 days
Bypass diode failureThermal1/3 module hot zone20–40K$200–400/panelHIGHRepair within 30 days
Bypass diode failure (minor)Thermal1/3 module hot zone10–20K$100–200/panelMEDIUMNext maintenance cycle
Bird dropping soilingThermal/RGBCool/hot irregular patch10–25K$100–400/panelMEDIUMSchedule cleaning
DelaminationThermalDiffuse warm blotches10–20K$50–150/panelMEDIUMMonitor; replace within 12–24 months
PIDThermalUniform module coolingSubtle$200–800/panelMEDIUMPID recovery or replacement
Dust soilingThermalSubtle site-wide cooling5–10K2–5% site PRLOW-MEDIUMOptimise cleaning schedule
Micro-cracks (active)Thermal/ELSubtle linear anomaly10–15K$50–150/panelLOW-MEDIUMMonitor; EL test to quantify
Tracker misalignmentRGB/ThermalRow at different angle/tempVariable2–8% row yieldMEDIUMTracker service call
Micro-cracks (inactive)EL onlyNo thermal signatureNoneMinimal currentlyLOWAnnual EL re-test

Fault Severity Scoring: How to Prioritise a Repair Backlog

When a drone inspection of a 50MW site identifies 200 anomalies, the repair backlog needs a triage framework. Use this three-factor scoring approach:

Factor 1: Safety Risk (Overrides All Other Factors)

ConditionAction
Hotspot >80°CImmediate shutdown of affected string; repair before re-energisation
Hot connector >60°CRepair within 7 days regardless of revenue impact

Factor 2: Revenue Impact (For Non-Safety Faults)

Sort remaining fault list by estimated annual revenue loss:

Revenue loss = affected panels × loss per panel × electricity price

Fix the most expensive faults first.

Factor 3: Progression Risk

Some faults progress rapidly if unresolved:

Apply 1.5× multiplier to revenue impact for faults with high progression risk.


The Fault Management Workflow

1. Drone inspection → AI generates fault list with GPS coordinates, panel ID, fault type, ΔT, severity band, photo
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2. Safety triage → Immediately identify band 3 hotspots or string open-circuits requiring rapid response
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3. Revenue prioritisation → Sort remaining faults by estimated annual revenue impact
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4. Work order creation → Generate work orders (ideally automatically via CMMS integration)
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5. Repair scheduling → Assign repair crews by priority and geography
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6. Verification → Post-repair thermal or electrical verification of resolved faults
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7. Documentation → Close work orders with resolution date, method, and cost
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8. IEC 62446 update → Fault register updated; compliance documentation current

Conclusion

Understanding the thermal signatures, revenue impact, and repair urgency of every fault type is foundational to running an effective solar inspection programme. The difference between a thin fault list and a complete one is rarely the drone hardware — it is the quality of the AI analysis and the knowledge of what to look for.

See ClearSpot’s AI fault classification and monitoring software in action for your portfolio. Use the button below to book a demo and we’ll walk through the fault detection and prioritisation workflow for a site your size.

Frequently Asked Questions

What is a solar panel defect?

A solar panel defect is any issue that reduces panel performance, efficiency or safety. Common defects include hotspots, cracks, delamination, potential-induced degradation and electrical connection faults.

How do drone inspections detect solar panel defects?

Drones carry radiometric thermal cameras and high-resolution RGB cameras. Thermal imaging reveals temperature anomalies such as hotspots, bypass diode failures and open strings, while RGB imaging shows physical damage, soiling and tracker misalignment.

What are the most common solar panel defect types?

The most common are hotspots, bypass diode failures, cracked cells, delamination, potential-induced degradation (PID), soiling, string open-circuits and hot MC4 connectors.

What is a hotspot in a solar panel?

A hotspot is localised overheating of a single cell or small group of cells, caused by shading, cell damage or electrical mismatch. Hotspots above 80°C are treated as critical because of fire risk.

Can drones detect cracked solar panels?

Drones detect broken glass and electrically active cell cracks, which show a thermal signature. Inactive micro-cracks have no thermal signature and need electroluminescence (EL) testing to confirm.

What is potential-induced degradation (PID)?

PID is power loss caused by leakage current between the high-voltage DC circuit and the grounded frame. It shows up as a subtle, uniform cooling of affected modules and is often confirmed with production data analysis.

How often should utility-scale solar plants run drone inspections?

Most utility-scale plants fly quarterly or twice a year, plus after extreme weather events, so new faults are caught before they compound.

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