ARC spectral analysis system

• US 5,578,931 A
• Filed: 06/07/1995
• Issued: 11/26/1996
• Est. Priority Date: 10/15/1993
• Status: Expired due to Fees

• Current Assignee: Texas A&M University System
• Original Assignee: Texas A&M University System
• Inventors: Russell, B. Don, Aucoin, B. Michael
• Primary Examiner(s): Regan, Maura K.
• Application Number:
  US08/485,664
• Time in Patent Office: 538 Days
• Field of Search: 324/522, 324/536, 364/483, 361/42
• US Class Current: 324/536
• CPC Class Codes: G01R 31/1272 of cable, line or wire insulation, e.g. using partial discharge measurements locating faults in cables G01R31/083
• CPC Class Codes: H02H 1/0015 Using arc detectors

Abstract

A method and apparatus are provided for detecting an arcing fault on a power line carrying a load current. The apparatus monitors and analyzes the load current to obtain frequency components. The analyzed load current is then compared to frequency components of an arcing fault model spectrum to determine whether an arcing fault exists on the power line. If the difference between the analyzed load current and the model spectrum is less than a selected error value, then an arcing fault exists on the power line. Otherwise, no arcing fault exists and conditions are normal on the line.

Claims

1. A method of detecting arcing faults occurring on a power line, comprising the steps of:

using a pre-determined arcing fault signal model, which characterizes the behavior of an arcing fault;

monitoring a load signal parameter indicative of the power flowing through said power line;

deriving a frequency spectrum of sample frequency components based on said load signal parameter; and

comparing individual components of said spectrum of sample frequency components to corresponding frequency values of said arcing fault signal model to determine whether an arcing fault exists on said power line.

2. The method of claim 1 wherein said monitoring step includes the step of sampling a load current signal to form a sampled load current signal.

3. The method of claim 2 wherein said deriving step includes the step of converting said sampled load current signal into non-harmonic frequency components.

4. The method of claim 3 wherein said non-harmonic frequency components are discrete.

5. The method of claim 1 wherein said monitoring step includes the step of sampling a load voltage signal to form a sampled load voltage signal.

6. The method of claim 5 wherein said deriving step includes the step of converting said sampled load voltage signal to non-harmonic frequency components.

7. The method of claim 1 wherein said deriving step includes the steps of:

converting said load signal parameter into load signal frequency components; and

removing fundamental frequency components and harmonic frequency components from said load signal frequency components to form said frequency spectrum of sample frequency components.

8. The method of claim 7 wherein said converting step includes the step of converting said load signal parameter into load signal frequency components using discrete Fourier transforms.

9. The method of claim 1 wherein said comparing step produces a set of difference signals indicative of the differences between said individual components of said spectrum of sample frequency components and said corresponding frequency values of said arcing fault signal model.

10. The method of claim 9 further comprising the step of providing an alarm signal if said set of difference signals is more than a selected value.

11. The method of claim 10 further comprising the step of providing a normal signal if said set of difference signals is less than said selected value.