Fault type identification using sequence component ratios, FIDS angle-based phase selection, and multi-window temporal analysis.
In Detego
Fault classification determines which type of short circuit has occurred on the power system and identifies the specific phases involved. The classification proceeds through a layered analysis: sequence component ratios determine the fault category (balanced, unbalanced, grounded), FIDS angle analysis identifies the faulted phases, and I₀/I₂ ratio discrimination distinguishes single-phase from double-phase ground faults. These methods draw on Fortescue's symmetrical component theory, with the angular relationships first formalised for protective relaying by SEL (Costello & Zimmerman, 2015).
Accurate fault classification drives relay coordination decisions, informs maintenance priorities, and helps identify recurring fault patterns. Different fault types stress equipment differently and require different protection responses.
Fortescue's theorem decomposes any unbalanced three-phase system into three balanced sets: positive sequence (normal rotation), negative sequence (reversed rotation), and zero sequence (in-phase). The ratios between these components directly indicate the type of fault.
Positive Sequence (V₁)
Negative Sequence (V₂)
Zero Sequence (V₀)
Fortescue sequence components. Positive sequence: balanced ABC rotation. Negative sequence: reversed ACB rotation (indicates unbalance). Zero sequence: all phasors in-phase (indicates ground path).
Unbalance Detection
Where
A balanced three-phase fault produces negligible negative sequence. Any significant I2 indicates an asymmetric (unbalanced) fault.
The ratio is the primary discriminator between balanced and unbalanced faults. Three-phase faults produce because the fault is symmetric. Single line-to-ground, line-to-line, and double line-to-ground faults all produce significant negative-sequence current because the fault is asymmetric.
Ground Fault Detection
Where
Zero-sequence current requires a ground return path. Its presence confirms that the fault involves one or more phases connected to ground.
Zero-sequence current can only flow when there is a ground path -- through the fault arc to earth and back through the system neutral grounding. Phase-to-phase faults (without ground involvement) produce no zero-sequence current because the three phase currents still sum to zero.
Phase magnitude comparison provides a simple, intuitive check of which phases are involved in the fault. Individual phase magnitudes are compared against a baseline to detect voltage dips and current rises characteristic of faulted phases.
Faulted Phase (Voltage)
Where
A voltage drop below the threshold fraction of the three-phase average indicates the faulted phase.
Faulted Phase (Current)
Where
Current rise is measured against the minimum phase current, which represents the healthy-phase baseline. Using the average would be inflated by the fault current itself, reducing sensitivity.
Both voltage and current criteria are evaluated together. A phase is confirmed as faulted when it shows a voltage dip, a current rise, or both. Phase magnitude analysis serves as a supporting method alongside the angle-based FIDS technique described below.
The Fault Identification using Directional Sequence components (FIDS) method identifies faulted phases by examining the angular relationship between the negative-sequence current () and the zero-sequence current (). This approach was formalised for protective relaying by Costello and Zimmerman (SEL, 2015) and is widely used in modern phase-selection relays.
FIDS Angle
Where
The angle alpha falls into distinct 120-degree sectors, each corresponding to a specific phase.
For standard ABC phase rotation, the FIDS angle maps to three sectors:
| FIDS Angle Sector | Identified Phase | Description |
|---|---|---|
| Phase A | approximately in phase with | |
| Phase B | lags by 120° | |
| Phase C | leads by 120° |
The FIDS angle identifies the phase that is “different” from the other two. Its interpretation depends on the fault type:
FIDS Applicability
When the classifier determines that a ground fault is present (both unbalance and ground indicators exceed their thresholds), a key question remains: is this a single line-to-ground (SLG) or double line-to-ground (DLG) fault? The ratio provides the answer, based on how the sequence networks interconnect for each fault type.
For a single line-to-ground fault, the positive, negative, and zero sequence networks are connected in series (NPAG Chapter A3, Eq. A3.12). This means the same current flows through all three networks:
SLG Sequence Currents
Where
Because all three sequence currents are equal, the I0/I2 ratio at the fault point is exactly 1.0.
For a double line-to-ground fault, the negative and zero sequence networks are connected in parallel with each other, and this parallel combination is in series with the positive sequence network (NPAG Chapter A3, Eq. A3.18-20). The zero-sequence current is determined by the current divider between the negative and zero sequence branches:
DLG Zero-Sequence Current
Where
Because the zero and negative sequence networks share the fault current, I0 is typically much less than I2.
For overhead transmission lines where (zero-sequence impedance is typically 2-4 times the positive/negative-sequence impedance), the ratio for DLG faults is well below 1.0. This creates clear separation from the SLG case where the ratio is near unity.
At the relay location (as opposed to the fault point), the sequence current distribution factors and shift the measured ratio away from the ideal values. The distribution factors depend on the source impedance behind the relay and the line impedance to the fault. Despite this shift, the SLG and DLG populations remain well separated: SLG ratios cluster near 1.0 while DLG ratios are substantially lower. A configurable threshold band between the two populations provides reliable discrimination.
For line-to-line faults without ground involvement, zero-sequence current is absent (), so the FIDS angle is undefined. Instead, the faulted phase pair is identified using the angle between the negative-sequence and positive-sequence currents:
Beta Angle
Where
The beta angle falls into 60-degree sectors, each identifying a specific line-to-line fault pair.
Each of the three possible line-to-line fault pairs (AB, BC, CA) maps to a distinct 60-degree sector in the beta angle space. This method is also applicable to DLG faults as a cross-check, since the phase pair identified by the beta angle should be consistent with the phases identified by FIDS.
When Beta is Used
| Type | Designation | I2/I1 | I0/I1 | Characteristics |
|---|---|---|---|---|
| Single Line-to-Ground | SLG (A-G, B-G, C-G) | High | High | One phase voltage dips, one phase current rises. Both negative and zero sequence present. I0/I2 near unity. |
| Line-to-Line | LL (AB, BC, CA) | High | Low | Two phases affected, no ground path. Negative sequence present, zero sequence absent. Phase pair identified via beta angle. |
| Double Line-to-Ground | DLG (AB-G, BC-G, CA-G) | High | High | Two phases affected with ground involvement. Both negative and zero sequence present. I0/I2 well below unity. |
| Three-Phase | 3P (ABC) | Low | Low | Balanced fault. All three phases affected equally. Negligible negative and zero sequence. |
| Three-Phase-to-Ground | 3P-G (ABC-G) | Low | Moderate | Balanced fault with ground current. I2 negligible but I0 may be present depending on grounding. |
Single line-to-ground faults are by far the most common fault type, accounting for approximately 70-80% of all faults on overhead transmission and distribution systems. Most SLG faults are caused by lightning strikes, tree contact, or insulator flashover -- all of which establish a single-phase path to ground. Line-to-line faults account for roughly 10-15%, double line-to-ground faults for 5-10%, and three-phase faults for only 2-5%.
The classification algorithm follows a layered decision process that evaluates the fault characteristics in order of decreasing generality:
On Petersen coil (compensated earthed) systems, the tuning coil is designed to suppress zero-sequence current at the fault location. Because the ground-fault current is compensated to near zero, both and measured at the relay are negligible -- the current-based methods described above lose sensitivity.
However, the voltages still clearly reveal the fault. On a compensated system during an SLG fault:
When current-based classification is inconclusive, the algorithm falls back to comparing each phase voltage against its pre-fault value. The phase with the largest voltage depression is identified as the faulted phase. This approach is consistent with standard Petersen coil theory and NPAG Section 6.3.1 on isolated/compensated neutral systems.
Fallback Behavior
Classical fault classification operates on the total phasors and sequence components measured during the fault. On a heavily loaded line this is problematic: load current produces its own positive-sequence component, and its natural unbalance adds a small negative-sequence component. Minor unbalanced faults are partially masked by this pre-fault baseline.
The superimposed (or delta, or pure-fault) quantities isolate the fault contribution by subtracting the pre-fault phasor from the during-fault phasor:
Where
The same subtraction is applied to voltages. Because the DFT is linear, taking the delta of phasors is equivalent to taking the phasor of the time-domain delta signal. The sequence components of the delta quantities then reflect only the fault-induced change:
Where
Using the ratios and for the unbalance and ground tests -- instead of the total-quantity ratios -- removes the load-current bias and makes the classifier more sensitive to minor faults on loaded systems. The superimposed approach is standard in transmission-line protection literature and is used by modern phase-selection relays.
A single classification point is a single snapshot of a fault that may actually evolve. Real-world examples include:
Classifying at a single point reports whichever state happens to be present at the sample time -- typically the initial fault type -- and misses the evolution entirely. A multi-window scan walks across the fault window at fixed time steps, runs the full classifier at each step, and collects the results into a timeline.
Short-lived classification changes that persist for fewer than multiple half-cycles are treated as transient noise and are absorbed into the surrounding segment. This prevents single-point glitches -- caused by spectral leakage, CT saturation, or measurement noise -- from appearing as spurious fault type transitions.
The scan window is bounded to stop before the fault clearance boundary. This avoids contamination from breaker transients: as each phase interrupts at a different zero-crossing, phasor filters produce spurious negative-sequence current that can be misclassified as an evolving fault (Kasztenny, SEL 2019). By excluding the clearance region, the classifier reports only genuine fault-period behaviour.
Consecutive identical results are collapsed into segments. A segment is a contiguous run of scan points with the same fault type and faulted phases. The number of segments distinguishes three regimes:
| Segments | Interpretation |
|---|---|
| 1 | Stable fault -- classification held throughout the fault window. |
| 2-3 | Evolving fault -- genuine transitions between fault types (e.g., SLG evolving to DLG). |
| Many | Usually classifier instability -- bouncing on noise, marginal thresholds, or post-fault transients rather than real fault evolution. |
The classification algorithm follows a layered pipeline where each layer narrows the fault type and identifies specific phases. The pipeline is designed so that later layers only run when earlier layers produce ambiguous or incomplete results.
Layer 1 computes sequence component ratios to determine ground involvement and unbalance. Layer 2 combines these indicators to classify the fault type and uses the band to discriminate SLG from DLG. Layer 3 identifies specific phases using FIDS alpha (for SLG), current magnitude ranking (for DLG), or beta angle (for LL faults and compensated systems). Layer 4 cross-validates the result using independent methods. Layer 5 computes a confidence score.
On systems with Petersen coil (resonance) earthing, high-impedance earthing, or isolated (ungrounded) neutrals, the tuning inductor or absent ground path suppresses zero-sequence current to near zero. The FIDS alpha angle () becomes undefined or dominated by measurement noise.
The beta angle resolves this limitation by using only the positive and negative sequence currents, both of which remain substantial during any unbalanced fault regardless of grounding:
Beta Angle (extended use)
Where
Unlike FIDS alpha, beta is independent of zero-sequence current and works on all earthing configurations.
The beta angle maps to six 60-degree sectors — three for single-phase faults and three for phase-pair faults — providing both SLG phase identification and LL pair identification from a single measurement:
| Beta Sector | Type | Identification |
|---|---|---|
| SLG | Phase A | |
| LL / DLG | A-B pair | |
| SLG | Phase B | |
| LL / DLG | B-C pair | |
| SLG | Phase C | |
| LL / DLG | C-A pair |
Modern relay designs combine both alpha and beta angles as cross-checks (Kariyawasam et al., PSE 2023). On standard grounded systems, the FIDS alpha method remains primary because it is more resistant to fault resistance rotation. On compensated or ungrounded systems, beta becomes the primary classification path because it does not depend on .
The classification algorithm needs to know the system earthing type to select the correct analysis path (FIDS alpha vs. beta). Rather than requiring the user to specify grounding manually, the algorithm infers it from the fault signatures themselves.
The primary indicator is the voltage behaviour on healthy (unfaulted) phases during a ground fault. On solidly-grounded systems, healthy-phase voltages remain approximately at their pre-fault levels. On ungrounded or compensated systems, the neutral point shifts, causing healthy-phase voltages to rise toward line-to-line values:
Healthy-Phase Voltage Ratio
Where
A ratio above approximately 1.5 (i.e., healthy-phase voltage rising toward √3 × nominal) indicates a compensated or ungrounded system.
When healthy-phase voltage rise is detected, the angle between zero-sequence voltage and zero-sequence current distinguishes between compensated and ungrounded systems:
When healthy-phase voltages do not rise (grounded systems), the ratio discriminates between solidly grounded systems (high zero-sequence current, typically ) and low-impedance grounded systems (moderate zero-sequence current). This classification follows the earthing factor definitions in IEC 60071-2 and the NPAG (Schneider) Section 6.3.
The ratio alone can be unreliable for distinguishing SLG from DLG faults, particularly at low ratios or with significant fault resistance. Multiple independent cross-validation methods improve reliability:
Compares the change in current magnitude from pre-fault to during-fault on each phase. For a genuine SLG fault, only the faulted phase should carry significantly elevated current. If two phases show similar current elevation, the fault is likely DLG. This method is robust because it uses direct physical measurements rather than derived angles, and is immune to fault resistance effects.
Computes the apparent fault resistance under two competing hypotheses: “this is an SLG fault on the FIDS-identified phase” vs. “this is an LL fault between the other two phases.” The hypothesis that produces a physically reasonable (positive, finite) fault resistance is more likely correct (Costello & Zimmerman, SEL 6386).
Competing Fault Resistance
Where
This formula is evaluated for both the ground (SLG) and phase (LL) hypotheses. A negative result invalidates that hypothesis.
When the ratio places the fault outside the SLG band (suggesting DLG), a beta angle check can confirm or contradict. If beta points to an SLG sector and the corresponding phase carries significantly more current than the other two phases, the classification is corrected to SLG. This catches cases where the band is shifted by network topology while the beta angle, being independent of , remains correct.
Some recordings provide only line-to-line voltages () rather than phase-to-neutral voltages. Phase-to-neutral voltages are needed for sequence component calculation, so the classifier derives them using the zero-sequence voltage assumption:
Phase-Neutral Derivation
Where
This derivation assumes V₀ = 0. On solidly-grounded systems this is a good approximation. On compensated or ungrounded systems, V₀ can be substantial during ground faults, introducing error into the derived voltages.
Limitation on Compensated Systems
Each classification decision (ground detection, unbalance detection, band placement, FIDS/beta angle sector identification) involves comparing a measured quantity against a threshold boundary. The confidence score measures how far each decision is from its threshold — the further from the boundary, the more confident the result.
The overall confidence is the weakest-link margin: the minimum confidence across all decisions in the classification chain. This reflects the principle that a classification is only as reliable as its least certain step. For example, if the ground detection is very strong (high ) but the FIDS angle falls near a sector boundary, the overall confidence will be low — driven by the uncertain angle measurement.
Interpreting Confidence
The superimposed (delta) approach subtracts pre-fault phasors from fault phasors to isolate the fault contribution. This works well when the pre-fault system is reasonably balanced. However, if the pre-fault system already has significant negative-sequence current (due to untransposed lines, unbalanced loads, or a previous fault), the delta quantities will inherit this unbalance and produce distorted ratios.
Before using delta quantities, the classifier evaluates the pre-fault ratio. If the pre-fault unbalance exceeds a rejection threshold, the algorithm switches to classifying from total (absolute) phasors instead of delta phasors, at the cost of load current sensitivity. A moderate pre-fault unbalance triggers a warning but still uses the delta approach, as the benefits of load-current rejection typically outweigh the unbalance error.
As the fault is cleared by the circuit breaker, current decays rapidly. If the classification scan continues into this decay region, the DFT phasor estimates become unreliable — the decaying waveform is not periodic, producing spectral leakage artifacts that can be misinterpreted as fault type transitions. The classifier monitors the maximum fault current and terminates the scan early if the current falls to a small fraction of its peak for consecutive half-cycle windows. This prevents spurious segment creation from post-clearance transients (Kasztenny, SEL 2019).
Fault classification informs several protection engineering decisions:
Cross-Reference with AI Analysis