Dry-type transformer winding deformation is a key trigger for power accidents. Detection methods have evolved from early limited techniques to four mature mainstream methods, effectively addressing the challenge of identifying winding structural changes. Below is a detailed breakdown of method evolution, core principles, and application characteristics.
1. Limitations of Early Detection Methods
Early winding deformation analysis methods had obvious drawbacks, failing to meet practical detection needs:
(1) Lumped Parameter Detection Method
- Core Issue: Only capable of diagnosing severe winding deformation, with poor sensitivity to early minor deformation.
- Operational Drawback: Complex operation, requiring precise parameter calibration and vulnerable to external interference.
(2) Cover-Opening Inspection Method
- Core Issue: Cannot accurately identify internal winding deformation (e.g., subtle displacement, turn-to-turn short circuits) that is not visible to the naked eye.
- Practical Drawback: High operational difficulty, consuming substantial manpower and material resources, and requiring transformer shutdown—disrupting normal power supply.
2. Current Mainstream Winding Deformation Detection Methods
Domestically and internationally, four methods are widely adopted for their reliability and operability:
(1) Low-Voltage Pulse Analysis Method (Core Universal Method)
- Core Principle: Input a stable low-voltage pulse signal at the winding terminal, synchronously record voltage waveform data at the signal end and other terminals, and compare time-domain signal changes between the excitation end and response end.
- Detection Logic: Winding deformation causes synchronous changes in internal capacitance and induced equivalent parameters, altering the winding’s inherent characteristics. By inputting the same low-voltage pulse signal, winding state information is derived from response signal differences before and after deformation.
- Key Advantage: Serves as a general method for testing dry-type transformer short-circuit withstand capacity, with high sensitivity to minor deformation and simple operation.
(2) Short-Circuit Impedance Test Method
- Core Principle: Measure the winding’s short-circuit impedance value (Zk) and compare it with the initial factory value or standard threshold.
- Detection Logic: Winding deformation (e.g., axial displacement, radial bulging) changes the magnetic flux distribution, leading to deviations in short-circuit impedance.
- Application Scope: Suitable for on-site rapid screening, especially for obvious mechanical deformation.
(3) Frequency Response Analysis (FRA) Method
- Core Principle: Apply a wide-frequency AC signal to the winding, measure the frequency response curve (amplitude-frequency/phase-frequency characteristics), and compare it with the baseline curve.
- Detection Logic: Winding deformation alters its distributed parameter network (resistance, inductance, capacitance), resulting in shifts or distortions in the frequency response curve.
- Key Advantage: High accuracy for early subtle deformation, capable of quantifying deformation degree.
(4) Vibration Analysis Method
- Core Principle: Collect the transformer’s operating vibration signals (via sensors), analyze frequency spectrum characteristics, and identify winding deformation.
- Detection Logic: Normal windings have stable vibration frequency components; deformation causes new vibration peaks or amplitude changes due to uneven electromagnetic force.
- Application Scope: Non-intrusive detection, suitable for online monitoring without shutdown.
3. Core Application Suggestion
- For on-site routine inspection and short-circuit withstand capacity testing: Prioritize the low-voltage pulse analysis method for its simplicity and reliability.
- For early subtle deformation diagnosis and precision testing, Adopt the frequency response analysis method to ensure no hidden dangers are missed.
- For rapid screening during operation: Use the short-circuit impedance test method or vibration analysis method to avoid power supply interruption.















































