Abstract: A signal transfer device measurement system and method of the present invention measures the signal transfer characteristics of a device under test (DUT) having an analog input port and either an analog output port or a digital output port. The measurement system and method comprise a stimulus waveform generator that produces a stimulus waveform. The stimulus waveform comprises a time sequence of pairs of narrow bandwidth, modulated signals. The stimulus waveform is applied to the input port of the DUT thereby producing an output response signal at the output port of the DUT. For a DUT with an analog output port, the measurement system and method further comprise an analog-to-digital converter (ADC) for digitizing the output response signal and producing digital data and a signal processor for processing the digital data thereby producing measured results.

Abstract: An improved method for non-harmonic waveform analysis that permits freedom of selecting intervals and/or frequencies (or periods) for analysis is disclosed. An arbitrary interval of a discrete waveform is multiplied by a sine function having an arbitrary period and the product is summed over the interval to derive a first summation. Similarly, the waveform is multiplied by a cosine function having the same period and the product is summed over the interval to provide a second summation. The sine and cosine functions are multiplied together and the product is summed over the interval to provide a third summation. The sine function is squared and summed over the interval to provide a fourth summation. Similarly, the cosine function is squared and summed over the interval to provide a fifth summation.

Abstract: An automatic save and recall system and method for use in signal measurement systems that acquire and store signal data in accordance with a trigger specification, including generally a trigger definition and trigger control parameters (“trigger controls”). The present invention automatically stores in memory (“saves”) trigger-related data that includes, for example, a current trigger definition and other specified portions of a trigger specification (“saved trigger specifications”) without an explicit operator request. A plurality of such saved trigger specifications are subsequently available for retrieval from memory (“recall”). This enables an operator to easily return to a previous version of a trigger definition should the operator determine that a current trigger definition is undesirable. The automatic storing of trigger specifications (or portions thereof) may occur in response to one or more predetermined event(s).

Abstract: A method of determining peaks in a discrete function. The method comprising the steps of: applying a closing function to the discrete function to generate a closed discrete function; defining peaks within the closed discrete function; sorting the defined peaks according to function value; and applying a threshold value to each sorted defined peak in individual succession, wherein sorted defined peaks having a peak height value above the threshold value are retained within the closed discrete function.

Abstract: A method employed in a condition monitoring unit (CMU) for monitoring a circuit breaker or interrupter to obtain a substantially undistorted version of a waveform suffering from saturation distortion comprises employing a current transformer (CT) to measure a current waveform. The output of the CT is prone to be a partially distorted waveform. The invention is generic in the sense that it does not require parameters associated with the CT characteristics or with the burden impedance on the secondary side of the CT. A digital representation of the partially distorted waveform is obtained, and then undistorted portions of the partially distorted waveform are identified by comparing the amplitude of the partially distorted waveform within a sliding window to a pair of boundary values and identifying as undistorted those portions having an amplitude between the boundary values. Next, distorted portions of the waveform are separated from the undistorted portions, thereby yielding a data record with holes.

Abstract: For the purpose of detecting signals by means of fuzzy-logic classification, these signals are sampled in time and the sampled values are compared with fuzzy threshold values with the aid of fuzzy-logic rules. Strengths which evaluate the similarity of the signal to be detected with the relevant master signal given the application of the relevant rule are determined for each master signal of a signal catalog. Furthermore, a membership is calculated for each master signal as the arithmetic mean of all the strengths, averaged over all the rules, and the signal to be detected is assigned to that master signal whose membership is a maximum.