AC Discharge Detection Using Peak and Zero-Cross Noise Comparison
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Solution Overview
Problem
Existing discharge detectors struggle to accurately distinguish between noise generated by discharge and noise from normal load operation, leading to erroneous determinations of discharge occurrence or non-occurrence.
Innovation Solution
A discharge detector that includes a high pass filter, amplifier, smoothing section, phase division section, and determination section to analyze noise in high frequency bands, using peak and zero cross time domains to differentiate between discharge and load noise, with a determination section that calculates differences and thresholds to accurately detect discharge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If noise level threshold is used for discharge detection, then simple detection method is achieved, but erroneous determination occurs when load noise exceeds threshold or discharge noise drops below threshold
Solution Approach 1:
The detection method is segmented into two distinct phases: peak time domain detection (for discharge identification) and zero cross time domain detection (for load operation identification). By dividing the AC cycle into different time domains with different detection thresholds, the system achieves both simplicity and accuracy without erroneous determinations.
2Measurement precision
If high frequency noise extraction is applied, then discharge noise is identified, but load operation noise is also detected causing false positives
Solution Approach 1:
Different detection criteria are applied to different time domains within the AC cycle. During peak time domain, high frequency noise extraction is actively used to detect discharge. During zero cross time domain, the system monitors for load operation noise. This localized application of detection methods eliminates false positives while maintaining discharge detection sensitivity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The discharge detector improves detection accuracy by distinguishing between discharge and load noise, ensuring accurate detection even when discharge noise levels fluctuate below thresholds.
Implementation Method 1
a high pass filter configured to extract a frequency component in a high frequency band from the alternating current power source
Data Source
AI summary
Provided is a discharge detector for detecting discharge occurred in a circuit with an electrically connected load based on a noise in a high frequency band superimposed on an alternating current power source supplied to the circuit. The discharge detector includes a high pass filter configured to extract a frequency component in a high frequency band from the alternating current power source; an amplifier configured to amplify an output of the high pass filter; a smoothing section configured to smooth an output of the amplifier; a phase division section configured to specify a peak time domain including time before and after a peak value and a zero cross time domain including time before and after a 0 value based on a value in one cycle of a voltage or current of the alternating current power source; and a determination section configured to determine whether discharge has occurred based on a difference between a first output of the smoothing section in the peak time domain and a second output of the smoothing section in the zero cross time domain.