Method of predicting condition during operation of an electrical machine

• US 7,324,008 B2
• Filed: 08/12/2004
• Issued: 01/29/2008
• Est. Priority Date: 08/20/2003
• Status: Expired due to Fees

• Current Assignee: Rolls-Royce PLC (Rolls-Royce Holdings Plc)
• Original Assignee: Rolls-Royce PLC (Rolls-Royce Holdings Plc)
• Inventors: Simmers, Brian E, Husband, Stephen M, Payne, Bradley S
• Primary Examiner(s): TWEEL JR, JOHN ALEXANDER
• Application Number:
  US10/916,446
• Publication Number:
  US 20050046414A1
• Time in Patent Office: 1,265 Days
• Field of Search: 340/679, 340/683, 702/182, 702/183, 702/185, 702/186
• US Class Current: 340/679
• CPC Class Codes: G05B 23/0254 based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks

Abstract

Condition monitoring of an electrical machine is achieved by using electro-magnetic finite element analysis to analyse the machine based on model parameters corresponding with at least one fault condition. This allows the effect of the fault condition to be predicted. Metrology is used to recover live measurements for comparison with the predictions from the electro-magnetic finite element analysis to identify any fault signatures within the live measurements, in principle allowing those faults to be detected or diagnosed before they become catastrophic.

Claims

1. A method of operating an electrical machine, wherein the operation of the machine is modeled by an electro-magnetic finite element analysis technique prior to operation, the analysis including an analysis based on model parameters corresponding with at least one fault condition, so that at least one effect of the fault condition is predicted, and in which operation of the machine is monitored by search coil means, by comparison of live measurements from said search coil means with the results of the finite element analysis thereby allowing the occurrence of the fault condition to be diagnosed.

3. A method according to claim 1, wherein the electro-magnetic finite element analysis is used to predict at least one effect on magnetic flux within the machine, for comparison with live measurements of flux changes during operation.

4. A method according to claim 1, wherein the electro-magnetic finite element analysis is further used to predict at least one effect detectable in the absence of drive currents to the machine.

5. A method according to claim 1, wherein the comparison of live measurements and finite element analysis results is used to modify the fault condition predictions.

2. A method of predicting condition during operation of an electrical machine, wherein the operation of the machine is modeled by an electro-magnetic finite element analysis technique including an analysis based on model parameters corresponding with at least one fault condition wherein the machine is monitored by search coil means, the measurements of said search coil means being compared with the results of the finite element analysis in order to predict the at least one fault condition.

6. A machine condition monitoring means operable to monitor the condition of an electrical machine and including sensor means comprising search coils for recovering live measurements, the monitoring means being further operable to compare live measurements with the results of an electro-magnetic finite element analysis, the finite element analysis serving to model the operation of the machine and including an analysis based on model parameters corresponding with at least one fault condition, so that at least one effect of the fault condition is predicted by the model.

7. A machine according to claim 6, wherein the machine is a motor.

8. A machine according to claim 6, wherein the electro-magnetic finite element analysis is used to predict at least one effect on magnetic flux within the machine, for comparison with live measurements of flux changes during operation.

9. A machine according to claim 8, wherein search coils are provided within the machine for providing live flux measurements.

10. A machine according to claim 9, wherein at least one search coil is provided on the machine stator.

11. A machine according to claim 9, wherein at least one search coil is provided on the machine rotor.

17. A machine according to claim 6, wherein the electro-magnetic finite element analysis is further used to predict at least one effect detectable in the absence of drive currents to the machine.

18. A machine according to claim 17, wherein the comparison of live measurements and finite element analysis results is used to modify the fault condition predictions.

12. A machine condition monitoring means operable to monitor the condition of an electrical machine and including sensor means comprising search coils for recovering live measurements, the monitoring means being further operable to compare live measurements from said sensor means with the results of an electro-magnetic finite element analysis, the finite element analysis serving to model the operation of the machine and including an analysis based on model parameters corresponding with at least one fault condition, so that at least one effect of the fault condition is predicted by the model wherein said machine being a transverse flux machine having a disc with a rim of alternating permanent magnets and pole pieces, and a ring of core pieces, operating with the rim and having an energizing coil arrangement associated therewith.

13. A machine according to claim 12, having at least one search coil located at a tip of one of the core pieces.

14. A machine according to claim 12, having at least one search coil to detect changes of flux within the body of a core piece.

15. A machine according to claim 12, having at least one search coil located to detect changes of flux within the rim.

16. A machine according to claim 15, wherein the rim search coil is located at a boundary between a permanent magnet and a pole piece.