Discharge event monitoring device
AssigneeSchweitzer Engineering Laboratories, Inc.
InventorsScott M. Manson, Shankar V. Achanta, Gregary C. Zweigle
Life of this patent
Estimating the term…
Abstract
The present disclosure relates to systems and methods of detecting discharge events on power lines. For example, a system may include an acoustic sensor that detects a sound wave emitted from a power line. The system may include a radio frequency (RF) sensor that detects a radio wave emitted from the power line. The system may include electrical sensor circuitry that detects an electrical parameter of power being delivered on the power line. The system may include a processor that determines that a discharge event has occurred based on the sound wave, the radio wave, and the electrical characteristic. The system may provide an output signal indicating that the partial discharge event has occurred.
Claims19
An electronic device, comprising:
- an acoustic sensor configured to detect a sound wave emitted from a power line;
- a radio frequency (RF) sensor configured to detect a radio wave emitted from the power line;
- a memory;
- a processor operatively coupled to the memory, wherein the processor is configured to execute instructions stored on the memory to cause the processor to:
- receive an electrical signal indicative of an electrical characteristic of a power line;
- receive a sound signal indicative of a sound wave detected by an acoustic sensor of the electronic device;
- receive an RF signal indicative of the radio wave detected by the RF sensor of the electronic device;
- determine that a discharge event has occurred based at least in part on the sound wave, the radio wave, and the electrical characteristic;
- and
- provide an output signal indicating that the discharge event has occurred.
A non-transitory computer readable medium comprising instructions for detecting a discharge event, that when executed by a processor, cause the processor to perform operations comprising:
- receiving an electrical signal indicative of an electrical characteristic of power being delivered on a power line;
- comparing the electrical signal to a traveling wave pattern to determine a likelihood that the electrical signal indicates that the discharge event has occurred;
- and
- providing an output signal indicating that the discharge event has occurred based upon the likelihood.
A non-transitory, computer readable medium comprising instructions for detecting a discharge event, that when executed by the processor, cause the processor to perform operations comprising:
- training pattern recognition of a discharge event, using machine learning, based on historical events;
- receiving an electrical signal indicative of an electrical characteristic of power being delivered on a power line;
- determining that the discharge event has occurred based at least in part on the electrical signal;
- and
- providing an output signal indicating that the discharge event has occurred.
A method, comprising:
- receiving a sound signal indicative of a sound wave caused by a power line;
- receiving a radio frequency (RF) signal indicative of a radio wave caused by the power line;
- receiving an electrical signal indicative of an electrical characteristic of power being delivered on the power line;
- comparing the sound signal to a sound wave pattern to determine a likelihood that the sound signal indicates that a discharge event occurred on the power line;
- comparing the RF signal to a radio wave pattern to determine a likelihood that the RF signal indicates that the discharge event occurred;
- comparing the electrical signal to a traveling wave pattern to determine a likelihood that the electrical signal indicates that the discharge event occurred;
- weighting the likelihood that the sound signal indicates that the discharge event occurred with a sound weight, weighting the likelihood that the RF signal indicates that the discharge event occurred with an RF weight, and weighting the likelihood that the electrical signal indicates that the discharge event occurred with an electrical signal weight;
- summing the sound factor, the radio factor, and the traveling wave factor to determine an overall likelihood that the discharge event has occurred;
- comparing the overall likelihood that the discharge event has occurred to a threshold;
- and
- determining that the discharge event has occurred when the threshold is exceeded by the overall likelihood of the discharge event;
- and
- providing an output signal indicating that the discharge event has occurred.
Dependencies are inferred from the claim text.