초록 ▼

As described herein is a vehicle, system, method and device for monitoring, detecting and diagnosis of one or more faults in single-or multi-converter power system. Through use of existing devices within the power system, particularly semiconductor devices, output parameters may be monitored for dev

As described herein is a vehicle, system, method and device for monitoring, detecting and diagnosis of one or more faults in single-or multi-converter power system. Through use of existing devices within the power system, particularly semiconductor devices, output parameters may be monitored for deviations from normal operation. In addition, faults may be detected and/or diagnosed within the failure withstand time of the existing device.

대표청구항 ▼

What is claimed is: 1. A method for detecting a fault in a power converter system comprising: monitoring continuously an output parameter at the power converter and acquiring the output parameter in the form of a signal; and processing the signal by determining at least one statistical moment of a

What is claimed is: 1. A method for detecting a fault in a power converter system comprising: monitoring continuously an output parameter at the power converter and acquiring the output parameter in the form of a signal; and processing the signal by determining at least one statistical moment of a sampled window of the output parameter, wherein the at least one statistical moment is expressed as an nth order moment and n is an odd number greater than 3. 2. The method of claim 1, wherein processing provides information on the direction of variation of the signal represented by a cross-variance matrix expression for the nth order moment. 3. The method of claim 2, wherein the output parameter is selected from the group consisting of output current, output voltage and combinations thereof. 4. The method of claim 1, wherein the at least one statistical moment is a third statistical moment of a measured signal from the power converter. 5. The method of claim 4, wherein the third statistical moment is represented by the group consisting of load voltage, load current, source voltage and source current. 6. The method of claim 1, wherein the method further comprises a map of possible conditions of a measured output signal and a third moment of the measured signal. 7. The method of claim 1, wherein the nth order moment is expressed as a mean of a moving sampled window signal measure compared with a current signal measure as defined in a known window size. 8. The method of claim 1, wherein the method provides information about the location of the fault. 9. The method of claim 1, wherein the method detects the fault in milliseconds. 10. The method of claim 1, wherein the output parameter is measured from a sensor. 11. A system for detecting a fault in a converter system comprising: a power converter system; a means for monitoring continuously an output parameter at the power converter and acquiring the output parameter in the form of a signal; and a means for processing the signal by determining at least one statistical moment of a sampled window of the output parameter, wherein the at least one statistical moment is expressed as an nth order moment and n is an odd number greater than 3. 12. The system of claim 11, wherein the output parameter is measured from a sensor selected from the group consisting of current sensor, voltage sensor and combinations thereof. 13. The system of claim 11, wherein the at least one statistical moment is a mean of a moving sampled window measure as compared with a current measure from a defined sample window size. 14. The system of claim 11, wherein the power converter is in operable communication with a computation device. 15. The system of claim 11, wherein processing provides information on the direction of variation of the signal represented by a cross-variance matrix expression for an nth order moment, wherein n is 3 or greater and an odd number. 16. The system of claim 11, wherein the nth order moment is expressed as a mean of a moving sampled window measure compared with a current measure as defined in a known window size. 17. A method for detecting a fault in a power converter system comprising: representing the fault by a cross-variance matrix of nth order statistical moments of one or more power converter parameters, wherein n is 3 or greater, wherein each parameter is sampled in a common window for determining a statistical moment and one or more parameters are selected from the group consisting of load voltage, load current, source voltage and source current and are acquired and processed as separate signals. 18. A vehicle for detecting a fault in a power converter system comprising: a vehicle a power converter operable to drive the vehicle; and a fault detection system operable with the power converter, wherein the fault detection system continuously monitors one or more output parameters of the power converter and represents the fault by a cross-variance matrix of nth order statistical moments of the one or more output parameters, wherein n is 3 or greater, and wherein each parameter is selected from the group consisting of voltage and current, sampled from a known window and acquired and processed as a separate signal. 19. A system for detecting a fault in a converter system comprising: a power converter system; a sensor for acquiring continuously as a signal an output parameter of the power converter; and a processor for processing the output parameter by determining at least one statistical moment of the output parameter from a sampled window, wherein the at least one statistical moment is expressed as an nth order moment and n is greater than 3. 20. The system of claim 19, wherein the output parameter is in the form of voltage, current, and combinations thereof. 21. The system of claim 19, wherein the at least one statistical moment is represented in a cross-variance matrix for all output parameters.