1593results about "Spectral/fourier analysis" patented technology

A portable data collector and analyzer apparatus and method provides predictive and preventative maintenance of a multiplicity of assets through the use of a unique architecture that allows a variety of different application programs to be downloaded to the apparatus for providing a single multi-purpose portable data collector and analyzer apparatus that can employ the variety of different application programs for configuring, inter alia, different measurements types, different transducers types and different signal processing types for collecting and analyzing sensed physical data from a variety of different assets found in industrial plants. A unique frequency shifting and decimation method is employed for spectrum calculation that, inter alia, retains DSP addressing efficiency and increases signal processing speed. Additionally, a unique synchronous sampling method is employed that generates synchronous sample waveforms from asynchronous sample waveforms. Furthermore, a unique clear touch screen overlying a quarter VGA display, an ergonomically designed keypad, and an intuitive user interface allow quick and easy setup and operation for in-field data acquisition, analysis and display.

A method of identifying a signal type uses parameters of the signal as a basis for automatic identification. A signal of interest is selected from a display of a spectral waveform for a specified frequency. An occupied bandwidth for the signal of interest is estimated and, if the occupied bandwidth is common to more than one known signal type, a complementary cumulative distribution function of peak power for the signal of interest is estimated. The signal type may be identified as a function of these parameters. Additionally the frequency of the signal of interest may be compared with a database of spectral assignments for known signal types to provide further information about the signal of interest.

An apparatus comprising a housing, a circuit board disposed within the housing, the circuit board further comprising a radio, a processing device, a memory, and a connector suitable for connecting with a port of a computing device. The circuit board is a small form factor circuit board, the radio is suitable for detecting a frequency spectrum and the processing device is suitable for transferring detected frequency spectrum data to the computing device via the connector and interfacing with a display to provide a manipulatable graphical user interface for analyzing the detected frequency spectrum data.

An amplitude modulator circuit includes a reference oscillator and an envelope modulator coupled to the reference oscillator for receiving a reference signal. A microcontroller is coupled to the envelope modulator for providing an envelope signal to the envelope modulator and a low pass filter is coupled to the envelope modulator for receiving a modulated command from the envelope modulator. An inverter is coupled to the low pass filter for receiving a low passed envelope modulated signal from the low pass filter and a transducer or amplifier is coupled to the inverter and the low pass filter for receiving an inverted low passed signal and the low passed envelope modulated signal.

A handheld spectrum scanner has a radio module, a central processing unit (CPU), a display module, a power module for supplying power, and a switch setting module acting as controlling interfaces for inputting scan conductions. The radio module comprises an antenna, a filter amplifier, a transducer and a demodulator. The antenna receives frequency signals of wireless electric waves. The filter amplifier amplifies the frequency signals. The transducer and the demodulator analyze energy of the frequency signals and output scanned result to the CPU. The CPU compares variation of voltage level of the scanned result from the radio module based on scan conductions inputted by the switch setting module, and outputs determined result. The display module has a display for displaying the determined result from the CPU.

A pulse management system configured to perform a plurality of pulse measurements on each of a plurality of pulses of an acquired signal and to store results of the pulse measurements in an accessible data structure. The pulse management system includes a pulse analyzer that searches the data structure for pulses of the acquired signal that satisfy operator-provided search criteria. Similarly, the pulse analyzer can sort the selected subset of pulses based on sort criteria provided, for example, by an operator. The pulse analyzer can provide the operator with a user interface environment in which the operator specifies the search and sort criteria and in which the pulse analyzer displays the selected pulses with their associated pulse measurement results. The operator can advance through the selected pulses in any manner desired to display different pulses together or separately. The pulse analyzer thereby provides an operator with the capability to gain insights into a large number of acquired pulses through the selection of individual pulses meeting desired characteristics or relative time of occurrence, through the filtering or selection of pulses meeting specified criteria, and through the arrangement of those pulses according to the same or different criteria.

Embodiments of the invention relate to a system for extracting and analyzing radioelectric signals of interest. It includes an integer number N of channels. Each channel V_i includes a receiver linked to an analog signals digital acquisition device delivering a digital signal SN_i. Each channel V_i includes a bank of polyphase filters, extracting digital signals SE_i from the digital signal SN_i. The digital signals SE_i each have a smaller frequency bandwidth than that of the digital signal SN_i. The system includes at least one extracted digital signals distribution device suitable for receiving the digital signals SE_i and distributing SE_i to one or more processing and storage units. The processing and storage units are suitable for the analysis, characterization and storage of the digital signals received. Embodiments of the invention apply to the system for the radio-monitoring of radioelectric emissions in real time or in deferred time.

A system and method are disclosed for implementing a power source including a power amplifier that generates a radio-frequency power signal with an adjustable operating frequency. The power amplifier also generates a reference phase signal that is derived from the radio-frequency power signal. An impedance match provides the radio-frequency power signal to a plasma coil that has a variable resonance condition. A phase probe is positioned adjacent to the plasma coil to generate a coil phase signal corresponding to the adjustable operating frequency. A phase-locked loop then generates an RF drive signal that is based upon a phase relationship between the reference phase signal and the coil phase signal. The phase-locked loop provides the RF drive signal to the power amplifier to control the adjustable operating frequency, so that the adjustable operating frequency then tracks the variable resonance condition.

In one embodiment, an apparatus comprises a nano-scale spectrum sensor configured to be electromagnetically excitable at a predetermined frequency based on received ambient electromagnetic radiation. The apparatus is also configured to be able to use this excitation of the nano-scale spectrum sensor to thereby determine ambient electromagnetic radiation spectrum usage.

A method of establishing a benchmark for a figure of merit indicative of flicker noise of an amplifier circuit.

A method and system for digital spur cancellation may include removing a spur in a left channel minus right channel (L−R) baseband signal generated from a FM signal. The L−R baseband signal may be generated by demodulating a sub-carrier, for example, by using CORDIC algorithm, in a signal demodulated from the FM signal. An orthogonal signal may also be generated by demodulating a sub-carrier, for example, by using CORDIC algorithm, in a signal demodulated from the FM signal. The phase of the orthogonal signal may be further adjusted to introduce a substantially −90° phase shift to spurs at a specific frequency. Accordingly, the spurs in the L−R baseband signal may be cancelled when the first L−R baseband signal is combined with the phase adjusted orthogonal signal.

The present invention relates to a device for the location of passive intermodulation faults in a coaxial cable network. The test apparatus (100) according to one embodiment of the present invention utilises a pair of high-power, frequency-synthesised, unmodulated RF carriers v₁(t) (101) and v₂(t) (102) are generated inside the HPA module of the apparatus. The power and frequency of v₁(t) (101) and v₂(t) (102) can be independently set to a range of values, v₁(t), v₂(t) are combined inside the instrument and then applied to the input of the device under test (DUT). The PIM signals (107,108,109) generated in the DUT are combined to produce the primary PIM signal v_IM(t) (103). The apparatus also includes two receivers (110,111,112,113,114,115) for the detection of v_IM(t) 103 and v_REF(t) (104). These signals are downconverted to 455 kHz. The two 455 kHz waveforms are digitised with a dual- channel A/D converter (116,117) and the amplitude ratio and phase offset between the digitised waveforms are calculated and stored.

System and method for specifying a signal analysis function. First user input is received, e.g., to a graphical user interface (GUI), indicating a parameter for a first operation implementing at least a portion of the function. The first operation is programmatically included in a sweep loop. Second user input is received specifying a sweep configuration for a sweep on the parameter. The signal includes signal data, e.g., signal plot data or tabular data. The sweep configuration includes: a range of values for the indicated parameter, a number of iterations for the sweep, an interpolation type, step size for the sweep on the indicated parameter, specific values in the range of values for the parameter, source for at least some of the sweep configuration, and/or resultant data. The sweep is performed on the parameter per the sweep configuration, generating resultant data which is stored, and optionally displayed, e.g., in the GUI.

A method and system for segmenting video into an optimal set of video clusters that correspond loosely to one or more events, date ranges, time ranges, chapters or other logical segmentations of the digital video that is meaningful to the user. Video shots are selected from one or more video files on a computer-readable medium. The video shots are arranged in chronological order and a distance (e.g., time gap) between each successive pair of the arranged video shots is determined. Video clustering are generated as function of the determined ‘distances’ and/or user input, and an optimal video clustering is identified. After the optimal video clustering is identified, a time span for each of the video clusters is determined and a label is generated for each cluster. The clusters are then displayed for the user to browse using the generated labels and thumbnails derived from the video clips, transferred to a separate medium for display on another computer or other electronic device (e.g. DVD-video player) or made available for the user or other software to manipulate further.

The invention discloses an electrical energy quality monitoring and evaluating system, which comprises a plurality of electrical energy monitors, a communication network, a plurality of enterprise service platforms and a government service platform, wherein the enterprise electrical energy monitors are connected to the enterprise service platforms through the communication network, and the independent electrical energy monitors and the enterprise service platforms are connected with the government service platform through the communication network; the enterprise service platforms are used for receiving basic electric power parameters acquired by the enterprise electrical energy monitors at monitoring points inside the enterprises, displaying the change conditions of the electric power parameters of enterprise distribution networks, and transmitting data to the government service platform at certain time intervals; and the government service platform is used for receiving the electric power parameters of the enterprise distribution networks transmitted by the enterprise service platforms and the parameters transmitted by the independent electrical energy monitors at the monitoring points in the regional distribution networks, and performing energy consumption audit, transient and stable electrical energy quality analysis, electrical energy quality level evaluation, harm extent evaluation and evaluation of providing the corresponding electrical energy quality improvement scheme and electrical energy quality improvement effect.

The invention discloses a self-adapting random resonance weak signal detection method, which achieves the self-adapting detection of weak periodic signal through combining a matching random resonance and an imposed signal induced random resonance. According to the theory of random resonance, firstly, numerical simulation is processed to receive correspondence between the noise intensity and the frequency of the best matching random resonance of a nonlinear bistable system in a range of extremely low frequency and under the condition of small-signal; and a high-frequency weak signal encountered in a project can be processed by using the change of normalized scale. For the detection of a weak signal with extremely low message-to-noise ratio and large noise intensity, the heights of voltage barriers of the bistable system can be changed by using the induced random resonance, thereby helping a weak eigenfrequency signal to fulfill the transition between voltage barriers, so that the bistable system reaches the random resonance state, thereby achieving the self-adapting detection of the weak periodic signal.

Methods and systems of detecting one or more characteristics of a load are disclosed. One or more characteristics of a first signal may be detected at the output of a Radio Frequency (RF) power generator. The first signal may have a fundamental frequency. The one or more characteristics of the first signal may be sampled at a sampling frequency to produce a digital sampled signal. The sampling frequency may be determined based on a function of the fundamental frequency of the first signal. One or more characteristics of a load in communication with the RF power generator may then be determined from the digital sampled signal.

A method of characterizing a signal path comprising (i) generating 102 a reference spread-spectrum signal; (ii) coupling 104 the reference spread-spectrum signal into the signal path while the signal path is carrying an operational signal; (iii) receiving 106 a reflected spread-spectrum signal from the signal path generated in response to the reference spread-spectrum signal; and (iv) correlating 108 the reflected spread-spectrum signal with the reference spread-spectrum signal to produce a correlation result corresponding to a characteristic of the signal path.

A method for determining the most likely composition of a sample, including obtaining data from a sample, wherein the data includes a representation of a measured spectrum; determining the precision state of the representation of the measured spectrum; providing a plurality of library candidates and, for each library candidate, providing data representing each library candidate, wherein the data includes a representation of a library spectrum; determining a representation of the similarity of the sample to each library candidate using (i) the representation of the measured spectrum; (ii) the precision state of the representation of the measured spectrum; and (iii) the representation of the library spectrum for that library candidate; determining the most likely composition of the sample based upon the determined representations of similarity of the sample to each library candidate; and displaying the most likely composition of the sample to a user.

A signal analysis system and method for analyzing an input signal acquired from a mechanical system. The mechanical system may include at least one rotating apparatus. The signal analysis system may be configured to: (a) receive samples of the input signal, (b) perform an invertible joint time-frequency transform (e.g. a Gabor transform) on the samples of the input signal to produce a first array of coefficients which depend on time and frequency, (c) select first coefficients from the first array which correspond to a first subset of one or more order components in the input signal, (d) generate a time domain signal from the first coefficients, and (e) present the time domain signal to a user on a presentation device. The signal analysis system generate the time domain signal from the first coefficients by performing an inverse joint time-frequency transform on the first coefficients. The signal analysis system extract the one or more order components for presentation to the user by masking out all coefficients except those corresponding to the one or more components. Conversely, the signal analysis system may suppress the one or more order components, i.e. present to the user the input signal minus the one or more order components by masking out coefficients corresponding to the one or more components and keeping the remaining coefficients.

Systems, methods, and apparatuses are provided for coarse-sensing modules that are operative for providing initial determinations of spectrum occupancy. The coarse-sensing modules may include a wavelet waveform generator providing a plurality of wavelet pulses, and a multiplier that combines the wavelet pulses with an input signal to form a correlation signal. The coarse sensing modules may further include an integrator that receives the generated correlation signal from the multiplier, where the integrator determines correlation values from integrating the correlation signal, and a spectrum recognition module in communication with the integrator that determines an available spectrum segment based at least in part on the correlation values. In addition, the spectrum recognition module may determine an available spectrum segment by utilizing information from a spectrum usage database, where the spectrum usage database includes information associated with one or more known signal types.

Systems, methods, and apparatuses are provided for fine-sensing modules that are operative for identifying one or more signal types from an input radio frequency (RF) signal. The fine-sensing modules may include a multiplier that combines an RF input signal and a delayed RF input signal to produce a correlation signal and an integrator that receives the correlation signal from the multiplier, where the integrator determines correlation values from integrating the correlation signal. The fine-sensing module also includes a comparator in communication with the integrator that compares the correlation values to one or more thresholds to generate information indicative of at least one signal feature of the RF input signal.

The invention relates to a method for the intelligent analysis of transient power quality disturbance based on networking, which comprises the following steps of: combining disturbance signals of a plurality of monitoring points in an electric network, and performing disturbance detection to determine the starting time and the ending time of the transient power quality disturbance by using form non-sampling wavelet analysis; performing disturbance identification to perform feature extraction and encoding on power quality disturbance signals by combining window Fourier transform and S transform, and comparing the features of the power quality disturbance signals with a binary threshold matrix to identify the type of the disturbance; and during disturbance positioning, switching disturbance to a capacitor, taking the disturbance energy and the power spectrum of the disturbance signals as characteristics, combining a support vector machine to determine the switching position of the capacitor, and for voltage sag disturbance, judging the change polarity of current components at the time of voltage sag to position the relative position of a disturbance source so as to position the disturbance source. The method uses transient signals of a plurality of the monitoring points in the electric network, provides a comprehensive intelligent analysis result of the transient power quality disturbance, and can provide comprehensive and accurate data support for evaluating and controlling the problems of the transient power quality disturbance.

The invention relates to a novel method for distinguishing multiple harmonic sources, which can be used for providing theoretical foundation for positioning a disturbance source in a multiple harmonic source system, managing harmonic waves, rewarding or punishing the harmonic waves and the like and has a broad application prospect and favorable social and economic benefits. The method comprises the following steps of: (1) defining a harmonic influence index; (2) solving the harmonic influence index; (3) acquiring and pre-processing data; and (4) selecting and analyzing the data.

A direct current machine monitoring system includes a current sensor for monitoring load current of the machine; and a computer for obtaining a power spectrum in a range including a machine trait-passing frequency, determining a magnitude of a maximum peak in the power spectrum in a range including the trait-passing frequency plus or minus an uncertainty frequency, and evaluating the magnitude of the maximum peak to assess a condition of the machine. The computer may additionally or alternatively be used for obtaining a low frequency power spectrum of the load current, obtaining at least one magnitude of a component of the power spectrum at a respective predicted frequency, and evaluating the at least one magnitude of the component to assess the condition of the machine.

A modular system for optical diagnosis of a sample includes a portable optical probe, a light source, a filter, and a gain detector. A first optical element releasably, optically couples the optical probe to the light source. A second optical element releasably, optically couples the optical probe to the filter and a third optical element releasably, optically couples the filter to the gain detector. The optical probe receives an optical signal from the light source via the first optical element and directs the optical signal onto the sample, thereby inducing fluorescence emission from the sample. The optical probe receives the fluorescence emission from the sample and transmits to the filter via the second optical element. The filter transmits the fluorescence emission to the gain detector via the third optical element. The optical head includes a beam splitter which reflects the fluorescence emission from the sample to the filter.

The invention discloses an electric system low-frequency oscillation detection method. On the basis of the existing nonlinear and non-stable signal empirical mode decomposition algorithm, the improved empirical mode screening algorithm enables the electric system low-frequency oscillation detection method to adapt to low-frequency oscillation signal processing, decomposed eigen mode components are combined with low-frequency oscillation mode physical expression meaning, and accordingly all low-frequency oscillation mode parameters of low-frequency oscillation sampling signals are recognized. The electric system low-frequency oscillation detection method reduces influence of the endpoint effect through improved mixed endpoint forecast, removes overshoot and undershoot by adopting triple B spline interpolation, simultaneously effectively reduces mode aliasing degree, analyzes and detects aliasing mode parameters through refined complex wavelets, controls algorithm screening depth through the improved energy elementary error screening stopping condition, reduces damping loss of mode components, and accordingly effectively improves low-frequency oscillation mode characteristic parameter detection accuracy.

A time domain measurement instrument and method are provided. The instrument comprises an acquisition circuit for acquiring a signal in a time domain and a processor for performing a Fast Fourier Transform (FFT) processing on the acquired signal to generate an FFT of the acquired signal. A frequency domain analysis tool is also provided for analyzing and manipulating the FFT, wherein the frequency domain analysis tool instructs the processor to automatically determine the frequency of a peak amplitude of the FFT, and to determine the amplitude at the determined peak frequency.

A method and apparatus for determining AC voltage waveform anomalies. The apparatus comprises a threshold generator for generating at least one time-variant threshold based on information regarding an AC voltage waveform. The apparatus further comprises a threshold detector for comparing a sample of the AC voltage waveform to the at least one time-variant threshold to identify an AC voltage waveform anomaly.

The invention relates to a method for determining an aging condition of a battery cell. The method has the following steps of a) providing a battery cell, b) recording an impedance spectrum of the battery cell, c) determining an evaluation quantity based on the measured impedance spectrum, and d) determining an aging condition of the battery cell based on a comparison of the evaluation quantity to a reference value.