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METHOD AND APPARATUS FOR ANALYZING WAVEFORM SIGNALS OF A POWER SYSTEM

Mousavi, Mirrasoul ; Maharsi, Mohamed Y. Haj
2011
Online Patent

Titel:
METHOD AND APPARATUS FOR ANALYZING WAVEFORM SIGNALS OF A POWER SYSTEM
Autor/in / Beteiligte Person: Mousavi, Mirrasoul ; Maharsi, Mohamed Y. Haj
Link:
Veröffentlichung: 2011
Medientyp: Patent
Sonstiges:
  • Nachgewiesen in: USPTO Patent Applications
  • Sprachen: English
  • Document Number: 20110213577
  • Publication Date: September 1, 2011
  • Appl. No: 12/922929
  • Application Filed: March 25, 2009
  • Assignees: ABB RESEARCH LTD. (Zurich, CH)
  • Claim: 1. A method for analyzing waveform signals of a power system, comprising: a) digitalizing a waveform signal obtained from said power system; b) filtering the digitalized waveform signal; c) identifying one or more segments on said filtered waveform signal; and d) based on the information content of each of said one or more identified segments, classifying each of said one or more identified segments as corresponding to a normal or abnormal condition occurred in the power system.
  • Claim: 2. The method of claim 1 wherein said step b) comprises re-sampling said digitalized waveform signal.
  • Claim: 3. The method of claim 1 wherein, said step b) comprises removing DC components and noise from said digitalized waveform signal.
  • Claim: 4. The method of claim 1 wherein said step b) comprises calculating the Root Mean Square (RMS) signal for the digitalized waveform signal over a moving window of fixed size.
  • Claim: 5. The method of claim 1 wherein said step c) comprises determining change points on said filtered waveform signal.
  • Claim: 6. The method of claim 1 wherein said change points are determined relative to a change parameter without target value.
  • Claim: 7. The method of claim 5 wherein a change point is detected when the value calculated for said change parameter is equal to or higher than a predefined alarm value.
  • Claim: 8. The method of claim 5 wherein, said step c) comprises grouping the determined change points forming clusters whose respective boundaries delimit approximate segments of the filtered waveform signal.
  • Claim: 9. The method of claim 8 wherein clusters are formed each time the difference between successive identified change points is above a predefined cut-off value.
  • Claim: 10. The method of claim 9 wherein it further comprises validating the formed clusters by using different values for one or more of said cut-off value, alarm value, and threshold value.
  • Claim: 11. The method of claim 9 wherein said step c) comprises fine-tuning the boundaries of the formed clusters by applying an unsupervised classification technique to said digitalized waveform signal.
  • Claim: 12. The method of claim 11 wherein said-fine tuning is performed based on the pattern of the digitalized waveform signal.
  • Claim: 13. An intelligent electronic device suitable to be connected to a power system, said intelligent electronic device comprising a computer device having code therein configured to: a) digitalize a waveform signal obtained from said power system; b) filter the digitalized waveform signal; c) identify one or more segments on said filtered waveform signal; and d) based on the information content of each of said one or more identified segments, classify each of said one or more identified segments as corresponding to a normal or abnormal condition occurred in the power system.
  • Claim: 14. The intelligent electronic device of claim 13, wherein said computer device has code therein configured to: re-sample said digitalized waveform signal; remove DC components and noise from said digitalized waveform signal.
  • Claim: 15. The intelligent electronic device of claim 13, wherein said computer device has code therein configured to calculate the RMS signal for the digitalized waveform signal over a moving window of fixed size.
  • Claim: 16. The intelligent electronic device of claim 13, wherein said computer device has code therein configured to determine change points on said filtered waveform signal, wherein said change points are determined relative to a change parameter without target value and a change point is detected when the value calculated for said change parameter is equal to or higher than a predefined alarm value.
  • Claim: 17. The intelligent electronic device of claim 16, wherein said computer device has code therein configured to group the determined change points forming clusters whose respective boundaries delimit approximate segments of the filtered waveform signal, clusters being formed each time the difference between successive identified change points is above a predefined cut-off value.
  • Claim: 18. The intelligent electronic device of claim 17, wherein said computer device has code therein configured to validate the formed clusters.
  • Claim: 19. The intelligent electronic device of claim 17, wherein said computer device has code therein configured to fine-tune the boundaries of the formed clusters, said-fine tuning being performed based on the pattern of the digitalized waveform signal.
  • Claim: 20. A computer readable medium for analyzing waveform signals of a power system, said computer-readable medium having computer-readable instructions stored thereon for execution by a microprocessor to perform a method comprising: a) digitalizing a waveform signal obtained from said power system; b) filtering the digitalized waveform signal; c) identifying one or more segments on said filtered waveform signal; and d) based on the information content of each of said one or more identified segments, classifying each of said one or more identified segments as corresponding to a normal or abnormal condition occurred in the power system.
  • Current U.S. Class: 702/66
  • Current International Class: 06

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