Electric machine fault detection
US-2016041228-A1 · Feb 11, 2016 · US
US11843339B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11843339-B2 |
| Application number | US-202117152947-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 20, 2021 |
| Priority date | Jan 20, 2021 |
| Publication date | Dec 12, 2023 |
| Grant date | Dec 12, 2023 |
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A system and method estimate the fault severity index and consequently the number of shorted turns in permanent magnet motors (PMSM) with inter turn short circuit fault (ITSC). In this method, the machine is excited with DC current at stand still conditions to obtain the winding resistance seen by the d-axis of the machine. The estimated d-axis resistance contains useful information pertaining to the fault severity index, and is used to extract the fault severity index and the number of shorted turns in the faulty motor. The method enables the estimation of fault severity index without complex modeling with different machine prototypes, or FEA models to analyze the relationship between machine currents and short circuit current. To enhance the accuracy of the estimation method, this disclosure addresses issues associated with inverter non-linearity effects such as distortion voltage due to dead time effects and voltage drops across the switching devices.
Opening claim text (preview).
The invention claimed is: 1. A method that estimates fault severity in a motor, the method comprising: exciting the motor with DC voltage at standstill to create a resulting DC current; calculating a phase resistance of the motor using the resulting DC current; and estimating the fault severity of inter turn short circuit (ITSC) faults as a fault severity index based on a winding resistance as seen by a d-axis of the motor, wherein the winding resistance is calculated based at least on the calculated phase resistance of the motor. 2. The method of claim 1 , wherein the estimating of the fault severity is further based on an operating speed of the motor. 3. The method of claim 1 , wherein the fault severity index is given by right side fraction of the equation, 2 3 η = 1 - R sk R s , where Rah is resistance of healthy coils in the motor and Rs is the phase resistance of the motor. 4. The method of claim 1 , wherein the motor is an AC motor. 5. The method of claim 4 , wherein the AC motor is a Permanent Magnet Synchronous Motor (PMSM). 6. The method of claim 1 , wherein the fault severity is estimated further based on self inductance of shorted turns. 7. The method of claim 1 , wherein the PMSM is modeled as a 3-phase inverter (VSI) that generates three parallel currents ia, ib, and is through three resistors Rah, Rs, and Rs respectively, wherein the Rs resistors are connected in series to inductors Lss and AC voltage sources eb, and ec, wherein the Rah resistor is in parallel with the Rs resistors and in series with an inductor Lah and AC voltage source eah, and wherein the output from the AC voltage source eah travels through resistor Rf to generate generating current if, and in parallel resistor raf, inductor Laf, and AC voltage source eaf all in series. 8. The method of claim 1 , wherein the estimation of the fault severity is further based on short circuit current. 9. The method of claim 1 , wherein the calculation is carried out in a microcontroller. 10. The method of claim 9 , wherein the estimation is carried out in a microcontroller. 11. The method of claim 1 , wherein a number of shorted coils in the motor is based on the fault severity index.
Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load · CPC title
Synchronous machines, e.g. with permanent magnets or DC excitation · CPC title
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