Patent classifications
G01R29/02
Method and apparatus for predicting failures in direct current circuits
A method of monitoring the condition of a circuit comprises establishing a known baseline signal for a type of circuit (each is somewhat different) and defining these characteristics in terms of the lead and trailing edge angular components (@ zero crossing point), the voltage (amplitude), and the period (time length) of the waveform. Ideally, the angular component of the square wave should be vertical, or at 90 degrees to x-axis. The baseline non-regular square wave that is composed of current, voltage, any harmonic thereof, or the combination of these signals which best indicate predictive measurement attributed to the type of circuit being monitored. Future wave forms indicate the rate of decay based upon the aggregated angular, amplitude, and period components of the zero-crossing points when compared to the baseline signal and/or prior waveform of the observed specific splice. The rate of decay can help determine the life expectancy of the circuit.
Input voltage ripple compensation of interleaved boost converter using cycle times
A method and apparatus are described for compensating input voltage ripples of an interleaved boost converter using cycle times. In an embodiment, a phase compensator receives a first duty cycle measurement of a first converter and a second duty cycle measurement of a second converter, compares the first duty cycle to the second duty cycle and generates a phase compensation in response thereto. A phase combiner combines a phase adjustment output and the phase compensation and produces a phase control output, and a cycle controller is coupled to the first and the second converters to generate a first drive signal to control switching of the first converter and to generate a second drive signal to control switching of the second converter, wherein a time of the second drive signal is adjusted using the phase control output.
METHOD OF DETERMINING CORRECTION FUNCTION
A method includes measuring first travelling wave power of a microwave having a single frequency peak and second travelling wave power having a single frequency peak, acquiring duty ratios of the first travelling wave power and the second travelling wave power based on measured values and a first determination threshold value, measuring third travelling wave power of a microwave having a bandwidth and fourth travelling wave power having a bandwidth, acquiring duty ratios of the third travelling wave power and the fourth travelling wave power based on measured values and a second determination threshold value, approximating a pulse width error between the first travelling wave power and the third travelling wave power and a pulse width error between the second travelling wave power and the fourth travelling wave power with linear functions, and determining the correction function based on the linear functions.
Multi-level logic analyzer for analyzing multi-level digital signals and method for operating a multi-level logic analyzer for analyzing multi-level digital signals
A multi-level logic analyzer for analyzing multi-level digital signals comprises a plurality of signal inputs, each signal input being configured to receive a multi-level digital signal, a plurality of comparison units, each comparison unit comprising a first comparator input and a second comparator input and being configured to compare a signal received at the first comparator input with a signal received at the second comparator input, and first switching means configured to couple at least one of the signal inputs with the first comparator inputs of at least two of the comparison units.
Multi-level logic analyzer for analyzing multi-level digital signals and method for operating a multi-level logic analyzer for analyzing multi-level digital signals
A multi-level logic analyzer for analyzing multi-level digital signals comprises a plurality of signal inputs, each signal input being configured to receive a multi-level digital signal, a plurality of comparison units, each comparison unit comprising a first comparator input and a second comparator input and being configured to compare a signal received at the first comparator input with a signal received at the second comparator input, and first switching means configured to couple at least one of the signal inputs with the first comparator inputs of at least two of the comparison units.
Systems and methods for duty cycle measurement, analysis, and compensation
A duty cycle measurement circuit obtains differential duty cycle measurements corresponding to the duty cycle of a signal at two or more different locations along a propagation path. The differential duty cycle measurements may include measurements of an input duty cycle and measurements of an output duty cycle. The duty cycle measurements may be acquired by use of duty-cycle-to-voltage converter circuitry. The duty cycle measurements may be used to determine a measure of the duty cycle deterioration of the propagation path, and an adjustment factor to compensate for the measured duty cycle deterioration.
Duty cycle measurement
Methods and systems for measuring a duty cycle of a signal include applying a first branch of an input signal directly to a latch. A delay of a second branch of the input signal is incrementally increased, with the second branch being applied to the latch, until the latch changes its output. A delay, corresponding to the latch's changed output, is divided by a period of the input signal to determine a duty cycle of the input signal.
Wireless threat detection device, system, and methods to detect signals in wideband RF systems and localize related time and frequency information based on deep learning
The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.
DETECTION OF PULSE WIDTH TAMPERING OF SIGNALS
A sensor system can include a sensor having a charge storage device controllably connected to a voltage source under control of a signal under test; and a readout circuit coupled to the charge storage device to determine whether the pulse width of the signal under test has changed greater than a threshold amount according to a voltage at the charge storage device. In some cases, the determination of whether the pulse width of the signal under test has changed can include determining whether the voltage satisfies a condition with respect to a comparison voltage. In some cases, the determination of whether the pulse width of the signal under test has changed can be based on a propagation delay through a delay chain, where the propagation delay is dependent on the voltage.
DETECTION OF PULSE WIDTH TAMPERING OF SIGNALS
A sensor system can include a sensor having a charge storage device controllably connected to a voltage source under control of a signal under test; and a readout circuit coupled to the charge storage device to determine whether the pulse width of the signal under test has changed greater than a threshold amount according to a voltage at the charge storage device. In some cases, the determination of whether the pulse width of the signal under test has changed can include determining whether the voltage satisfies a condition with respect to a comparison voltage. In some cases, the determination of whether the pulse width of the signal under test has changed can be based on a propagation delay through a delay chain, where the propagation delay is dependent on the voltage.