Abstract: An testing method includes following operations: generating, by a signal generator, a multi-tone signal; transmitting, by the signal generator, the multi-tone signal to an input terminal of an under-test device; measuring, by a spectrum analyzer, the input terminal of the under-test device and an output terminal of the under-test device to acquire a plurality of input ripple intensities corresponding to a plurality of frequencies and acquire a plurality of output ripple intensities corresponding to the frequencies; and generating, by a control device, a plurality of power supply rejection ratios corresponding to the frequencies according to the input ripple intensities and the output ripple intensities.

Abstract: Embodiments of the present invention include a test-boost electric power recloser that limits the duration of the test current imposed on the power line to less than two electric power cycles, and preferably less than one electric power cycle, when attempting to reclose into a fault. The test-boost recloser sends a test pulse causing a non-latching close followed by a boost pulse causing a latching close if waveform analysis based on the test close indicates that the fault has likely cleared. The test-boost approach can typically be implemented through a software and calibration upgrade to a conventional single-coil recloser, accomplishing results comparable to a dual-actuator recloser at a much lower cost. The recloser may perform iterative and feedback learning feedback processes to automatically improve its operation over time in response to measured fault and non-fault conditions and its success in predicting whether faults have cleared.

Abstract: Aspects relate to a photonic processing system, a photonic processor, and a method of performing matrix-vector multiplication. An optical encoder may encode an input vector into a first plurality of optical signals. A photonic processor may receive the first plurality of optical signals; perform a plurality of operations on the first plurality of optical signals, the plurality of operations implementing a matrix multiplication of the input vector by a matrix; and output a second plurality of optical signals representing an output vector. An optical receiver may detect the second plurality of optical signals and output an electrical digital representation of the output vector.

Abstract: Provided is a measurement apparatus including a signal source configured to output a binary digital signal configuring a multi-tone waveform, a waveform acquisition unit configured to acquire an analog signal waveform generated in response to application of the digital signal to a device under test, and a computation unit configured to calculate a frequency characteristic of the device under test from the waveform acquired by the waveform acquisition unit, in which the signal source is configured to repeatedly output a signal upconverted by multiplying a pseudo-random binary sequence (PRBS) signal by a repeating rectangular wave with a reference frequency and a reference duty ratio.

Abstract: Presented herein are embodiments of an improved asymmetric quantization, which may generally be referred to as improved asymmetric quantization (IAQ) embodiments. IAQ embodiments combine the benefits of conventional asymmetric quantization and symmetric quantization but also provide additional computation efficiencies. Embodiments of IAQ adopt an asymmetric range of the weights of a neural network layer, so they circumvent the limitation of symmetric range of symmetric quantization. Moreover, the inference process of a neural network quantized by an IAQ embodiment is much faster than that of the neural network quantized by conventional asymmetric quantization by quantizing an offset value of each layer.

Abstract: A real-time spectrum analyzer (RTSA) includes an analog-to-digital converter (ADC) configured to convert in real-time an input analog signal into a digital input data stream, a digital down-converter (DDC) configured to down-convert in real-time the digital input data stream into a down-converted input data stream, a fast Fourier transform (FFT) unit configured to generate in real-time FFTs of the down-converted input data stream, an acquisition memory circuit configured to store in real-time the FFTs generated by the FFT unit, and an analyzer configured to read in non-real time the FFTs stored in the acquisition memory.

Abstract: A method of generating an analytical signal for signal analysis. The method includes obtaining a digital signal, sectioning the digital signal into a series of overlapping windows in time domain, generating a plurality of energy pulses by evaluating a function that describes energy information within each window or set of windows, and generating a time-dependent analytical signal by generating an oscillating signal by multiplying each of the plurality of energy pulses by an oscillating function; and integrating the oscillating function across a band pass frequency filter.

Abstract: A fault arc signal detection method using a convolutional neural network, comprising: enabling a sampling signal subjected to analog-digital conversion to respectively pass through three different band-pass filters; respectively extracting a time-domain feature and a frequency-domain feature from a half wave output of each filter; constructing a two-dimensional feature matrix by means of extracted time-frequency feature vectors from the output of each filter, and stacking the feature matrices corresponding the outputs of the three filters to construct a three-dimensional matrix for each half wave; and processing a multi-channel feature matrix by using a multi-channel two-dimensional convolutional neural network, and determining, according to the output result of the neural network, whether the half wave is an arc.

Abstract: Systems and methods for battery-based vehicle diagnostics are provided. Various embodiments include a battery-based diagnostics system that guards vehicles against anomalies with a cyber-physical approach. The diagnostics system can be implemented as an add-on module of commodity vehicles attached to automotive batteries, thus providing vehicles an additional layer of protection. The automotive battery can operate in strong dependency with many physical components of the vehicle, which is observable as correlations between battery voltage and the vehicle's corresponding operational parameters, e.g., a faster revolutions-per-minute (RPM) of the engine, in general, leads to a higher battery voltage. These embodiments exploit such physically induced correlations to diagnose vehicles by cross-validating the vehicle information with battery voltage and may be based on a set of data-driven norm models constructed online.

Abstract: A waveform designator designates a given waveform of an AC signal by specifying a frequency as a reference. A signal controller causes a storage battery to output a response signal based on its own power. A detector detects a frequency component in the response signal corresponding to the reference frequency of the AC signal based on a product of the reference frequency and the response signal. A calculator calculates a complex impedance of the storage battery based on the frequency component in the response signal. A noise determiner determines presence or absence of a noise signal corresponding to the reference frequency of the AC signal before the signal controller causes the storage battery to output the AC signal. A noise controller either avoids or removes the noise signal.

Abstract: During operation, the system uses N sensors to sample an electromagnetic interference (EMI) signal emitted by a target asset while the target asset is running a periodic workload, wherein each of the N sensors has a sensor sampling frequency f, and wherein the N sensors perform sampling operations in a round-robin ordering with phase offsets between successive samples. During the sampling operations, the system performs phase adjustments among the N sensors to maximize phase offsets between successive sensors in the round-robin ordering. Next, the system combines samples obtained through the N sensors to produce a target EMI signal having an EMI signal sampling frequency F=f×N. The system then generates a target EMI fingerprint from the target EMI signal. Finally, the system compares the target EMI fingerprint against a reference EMI fingerprint for the target asset to determine whether the target asset contains any unwanted electronic components.

Abstract: A test device for testing a microphone has at least one test loudspeaker for generating at least one test tone into at least one test cavity. The test device has a compartment for accommodating the microphone to be tested in acoustic communication with the test cavity. The test device has at least one reference microphone for ascertaining a reference signal of the test tone emitted from the test loudspeaker. The test device has a reference cavity separated from the test cavity and acoustically coupled with the reference microphone and the test cavity. The test loudspeaker is arranged between the reference microphone and the test loudspeaker.

Abstract: An electronic device including an EM sensor module and a method for controlling the electronic device. An electronic device includes an electromagnetic (EM) sensor module, an antenna module electrically connected to the EM sensor module, a memory operationally connected to the EM sensor module, and a processor operationally connected to the EM sensor module, The EM sensor module is configured to detect an electromagnetic signal around the electronic device using the antenna module, determine whether the electromagnetic signal is a valid signal from at least one external electronic device, and send electromagnetic detection data related to all or at least part of the electromagnetic signal to the processor based on the electromagnetic signal being a valid signal.

Abstract: The disclosure provides an objective identification device, comprising: a classifier training circuit configured to extract objective characteristics based on training samples and perform offline training based on the objective characteristics to obtain a classifier; and a calculation circuit is configured to identify an objective in an image based on a particle swarm optimization algorithm, wherein each of particles is defined as an object having a predefined size in the image; and a fitness value of each of particles is calculated based on the classifier and the objective characteristics of the particle in the particle swarm optimization algorithm, the fitness value representing a probability that the particle belongs to the objective. The disclosure also provides an objective identification method and driving assistance device. According to the disclosure, not only the identification rate can be increased but also application scenarios having different identification rate requirements can be satisfied.

Abstract: The electromagnetic noise of a semiconductor device is conveniently evaluated, and the electromagnetic noise of an apparatus equipped with the semiconductor device is estimated. An evaluation method is provided which includes causing one of a first device and a second device of a semiconductor device to perform a switching operation, the semiconductor device comprising the first device and second device connected in series and a third device and a fourth device connected to each other in series and connected parallel to a series circuit of the first device and second device; measuring voltage variation occurring between the third device and the fourth device during the switching operation; and outputting an evaluation benchmark for electromagnetic noise of the semiconductor device, based on the voltage variation.

Abstract: The invention relates to a method for evaluating at least one data set of at least one component of an automation system, characterized by the incorporation and/or execution of the following steps: determining an interval between two anomalous events in a first data set, said first data set comprising data based on at least one first component of the automation system, and determining repeating events which are spaced according to the interval in a second data set, said second data set comprising at least one second component of the automation system.

Abstract: A method for early damage recognition of a machine, and program and control unit for executing the method are disclosed. The method is disclosed for early damage recognition, wherein a frequency-transformed signal, filtered of dominant excitations, is supplied to a comparative early damage recognition, and wherein, after the filtering, damage of the machine is recognized by comparing the signal to a comparison value.

Abstract: The invention belongs to the technical field of OCT and provides an OCT image processing device and system. An FPGA is in communication connection with an upper computer via a PCIE interface to receive OCT image data acquired by the upper computer and to carry out image preprocessing on the OCT image data and then send the OCT image data to the upper computer to display. The OCT image data is acquired and displayed by the upper computer and the OCT image data's preprocessing is implemented by the FPGA, so that the processing efficiency of the OCT image data is greatly improved.

Abstract: An intermediate relay maloperation preventing device and method based on an improved recursive wavelet algorithm is provided. The device includes a power supply module, a voltage sampling circuit, an analog-to-digital conversion module, a DSP chip, and a relay maloperation signal shielding module. The voltage sampling circuit is connected to the analog-to-digital conversion module. The analog-to-digital conversion module is connected to the DSP chip. The DSP chip is connected to and controls a relay signal control module. The voltage sampling circuit collects a voltage. An improved recursive wavelet is used to extract a voltage feature. As such, identification of a fault signal and a normal signal is achieved, and real-time fault monitoring is accomplished. The detection method may be easily implemented, exhibits good filtering performance and anti-interference capability, delivers high detection accuracy, and may accomplish real-time online monitoring of intermediate relay faults.

Abstract: The present disclosure describes methods and systems for estimating dispersion spectra for full waveform sonic (FWS) logging. One computer-implemented method includes receiving FWS data, performing frequency-spatial (FX) transform on the FWS data, using a nonstationary predictive error filtering (PEF) inversion on the transformed FWS data to estimate local matrix L and matrix P, calculating an inverse covariance matrix based on the estimated local matrix L and matrix P, and obtaining a nonstationary maximum likelihood method (MLM) spectra based on the inverse covariance matrix.

Abstract: During operation, the system receives time-series signals gathered from sensors in a utility system asset. Next, the system uses an inferential model to generate estimated values for the time-series signals, and performs a pairwise differencing operation between actual values and the estimated values for the time-series signals to produce residuals. The system then performs a sequential probability ratio test (SPRT) on the residuals to produce SPRT alarms. Next, the system applies an irrelevance filter to the SPRT alarms to produce filtered SPRT alarms, wherein the irrelevance filter removes SPRT alarms for signals that are uncorrelated with previous failures of similar utility system assets. The system then uses a logistic-regression model to compute an RUL-based risk index for the utility system asset based on the filtered SPRT alarms. When the risk index exceeds a threshold, the system generates a notification indicating that the utility system asset needs to be replaced.

Abstract: A heartbeat measurement device includes a transmitter configured to transmit a transmission signal from a transmission antenna to a person to be measured, a receiver configured to receive a signal reflected from the person to be measured as a reception signal using a reception antenna, and an orthogonal detection circuit configured to generate an I signal that is an in-phase component of the transmission signal and the reception signal and a Q signal that is a quadrature component of the transmission signal and the reception signal. The heartbeat measurement device further includes a Fourier transform unit configured to calculate a spectrum in positive and negative frequency domains on the basis of the I signal and the Q signal and a signal processing unit configured to compare positive and negative frequency components in the spectrum to extract a heartbeat component.

Abstract: A computer-implemented method is provided for simulating a modal frequency response of a real-world object. The computer-implemented method includes dividing a plurality of excitation frequencies into a plurality of excitation frequency subsets, calculating modal frequency responses for at least a portion of the excitation frequencies in a given excitation frequency subset, and generating a simulation of the real-world object based at least in part on the modal frequency responses.

Abstract: A pitch detection method. Such a pitch detection method may use Teager Energy Operator (TEO) and High Passed Filter (HPF) with Pseudo Weigner Ville Transformation (PWVT) to reduce the pitch deletion errors of highly correlated types of noises in a speech signal.

Abstract: A method and system for measuring alternating-current system quantities through measurement connections producing frequency-dependent errors, in which method the analog signal of at least one measurement channel is sampled at a selected an approximately measured frequency fm at a multiple frequency fs, creating a base series depicting a period on each measurement channel, from each base series the fundamental frequency and the magnitude or phase-angle values or both of at least one harmonic frequency component are calculated with the aid of Fourier analysis or similar, each of which is corrected with the aid of a calibrated frequency-dependent function k(f), when the selected quantities are calculated from the calibrated values.

Abstract: This invention provides a system and method for fusing and synthesizing a plurality of medical images defined by a plurality of imaging parameters allowing visual enhancements of each image data set to be combined. The system provides an image fusion process/processor that fuses a plurality of magnetic resonance imaging datasets. A first image dataset of the datasets is defined by apparent diffusion coefficient (ADC) values. A second image dataset of the MRI datasets is defined by at least one parameter other than the ADC values. The image fusion processor generates a fused response image that visually displays a combination of image features generated by the ADC values combined with image features generated by the at least one parameter other than the ADC values. The fused response image can illustratively include at least one of color-enhanced regions of interest and intensity-enhanced regions of interest.

Abstract: A system and method are provided to perform current sensor error compensation. The system and method involve obtaining a current measurement of a current on a circuit from a current sensor; obtaining a voltage measurement of a voltage associated with the current from a voltage sensor; determining a fundamental frequency of the voltage from the voltage measurement; and performing error compensation on the current measurement based on the determined fundamental frequency to produce a corrected current measurement. The current sensor error compensation may be performed to correct current measurements in a motor system, such as in a motor overload relay, at a low cost by using functionality already available in the system.

Abstract: A system for detecting an abnormality of rotating machines includes two or more devices for detecting an abnormality and a computer. The respective devices include a sensor for detecting vibration of the respective rotating machines and generating signals indicative of the vibration, and a transmitting unit for transmitting the signals to the computer. The computer includes a sampler for sampling the signals with a sampling frequency and outputting, at a time at intervals of a predetermined period, a plurality of the data detected and sampled within the predetermined period, a storage for storing the data, a frequency analyzer for analyzing the frequencies of the data, a determination unit for determining whether the machines have an abnormality based on the results of the frequency analysis, and a display unit for displaying, in chronological order and in real time, the results of the frequency analysis and displaying the results of the determination.

Abstract: The invention is an iterative process for performing iteratively the phase retrieval of an adaptive signal x(t) matching two sets of constraint both concerning the time envelope ue(t) of signal x(t) and magnitude distribution Um(f) of its spectral representation. At each iteration k the process computes an estimate {tilde over (x)}k(t) of signal x(t) which is obtained from a first projection PA on a first set of constraint in time domain of a computed value xk(t) of x(t), xk(t) deriving from an estimate {tilde over (X)}k?1(f) of the spectrum of signal x(t), said estimate {tilde over (X)}k?1(f) being itself obtained from a second projection PB on a second set of constraints in spectral domain of the Fourier transform Xk(f) of the estimate {tilde over (x)}k?1(t) of x(t) computed at iteration k?1. Iterative computation of estimate {tilde over (x)}k(t) is repeated until {tilde over (x)}k(t) meets a predefined criterion which indicates that estimate {tilde over (x)}k(t) is close enough to expected signal x(t).

Abstract: Systems and methods for dynamic multitone simulation scenario planning. A method commences upon accessing a server in a circuit simulation environment to generate a multitone simulation signal to accurately simulate non-linear circuit characteristics. The tones of the multitone simulation signal are derived from a subset of possible tones based on certain properties. Some properties serve to eliminate harmonic and intermodulation products that conflict with the tones in the subset. The amplitude and phase for each tone is determined based on certain constraints. A multitone transient signal is generated from the selected tone subset and associated tone attributes to facilitate a circuit simulation. Characteristics of the multitone transient signal and/or simulation results from the circuit simulation can be analyzed to facilitate dynamically planning simulation scenarios that use multitone simulation signals.

Abstract: A state of a detection signal received from a proximity detector is determined. The first proximity detector is incorporated with a primary antenna at an information handling system. The proximity detector can assert the detection signal in response to detecting that an object external to the information handling system is located close to the proximity detector. A second antenna is coupled to a wireless communication circuit at the information handling system if the detection signal is asserted.

Abstract: A method for generating a Fast Fourier Transform (FFT) is disclosed. The method includes providing an input signal to two or more fixed-point FFT algorithms that apply different scaling to reduce growth of their output, resulting in each of the FFT algorithms yielding an array of FFT output values characterized by a different gain. The method further includes determining, on a per-FFT output value basis, whether an output value of an FFT algorithm with a relatively high gain was clipped due to saturation. If not, then the output value of that FFT algorithm is included in the final FFT. Otherwise, an output value of an FFT algorithm with a lower gain is included in the final FFT. Reconstructing the final FFT by such combination of values from different FFTs allows benefiting from the advantages of both higher- and lower-gain FFTs while avoiding or minimizing their disadvantages.

Abstract: Composite sampling of a fluid flowing through a conduit includes collecting, in a vessel coupled to the conduit through which the fluid is flowing, a first discrete sample of fluid from the conduit, the first discrete sample having a first selected volume, and collecting, in the vessel and at a first interval from the first sample, a second discrete sample of the fluid from the conduit, the second discrete sample having a second selected volume, thereby forming a composite sample in the vessel while the vessel is coupled to conduit. The composite sample includes the first discrete sample and the second discrete sample, and may include one or more additional discrete samples. An apparatus for collecting the composite sample includes a gas chromatograph, and is arranged such that the composite sample is provided to the gas chromatograph without removing the composite sample from the apparatus or transporting the composite sample.

Abstract: In order to reduce the power consumed when using FFT processing and filtering in the frequency domain together, a digital filter device according to the present invention is provided with: a first filtering means for performing a first fast Fourier transformation using a first data sorting process, first filtering in the frequency domain, a first inverse fast Fourier transformation using a second data sorting process, and overlap removal on a first input block including overlapped data; a second filtering means for performing a second fast Fourier transformation, which simultaneously processes all data in a second input block including overlapped data, second filtering in the frequency domain, a second inverse fast Fourier transformation, which simultaneously processes all received filtered data, and overlap removal; and a data selection means for selecting either the first filtering means or the second filtering means, wherein the operation of the filtering means that is not selected by the data selection me

Abstract: A test and measurement instrument having initial display center frequency and span settings and configured to process an input signal is disclosed. The test and measurement instrument includes a processor configured to digitize the input signal and locate a primary peak and determine a primary peak center frequency of the input signal. The processor is configured to adjust the initial display center frequency setting based on the primary peak center frequency. The processor is configured to perform a bandwidth comparison by comparing a bandwidth of the primary peak at a peak bandwidth test level to a peak bandwidth threshold. The processor is configured adjust the initial span setting based on the bandwidth comparison and generate a processed waveform signal using the adjusted display center frequency and span settings.

Abstract: A method for detecting the digital quality of a radio signal includes: receiving a radio signal including an analog modulated portion; digitally sampling an analog modulated portion of the radio signal to produce a plurality of samples; using a ratio between an average magnitude and an RMS magnitude of a block of the samples to compute an analog signal quality metric. Receivers that implement the method are also provided.

Abstract: A device may receive information that identifies a set of input frequencies and a set of output frequencies associated with a circuit. The device may determine, based on the set of input frequencies and the set of output frequencies, a set of fundamental frequencies associated with the circuit, and a harmonic order corresponding to one or more fundamental frequencies in the set of fundamental frequencies, where the one or more fundamental frequencies and the corresponding harmonic orders are based on a quantity of harmonic frequencies associated with the circuit. The device may output or store the one or more fundamental frequencies and the corresponding harmonic orders.

Abstract: An optical coherence tomography system having real-time artifact and saturation correction includes an optical coherence tomography unit, and a signal processing and display system adapted to communicate with the optical coherence tomography unit to receive imaging signals therefrom. The optical coherence tomography system is a Fourier Domain optical coherence tomography system. The signal processing and display system includes a parallel processor configured to correct the imaging signals, in real time, to at least partially remove image artifacts and saturation based on a subset of image data within an image frame.

Abstract: A method utilizes an optical image processing system. The method includes calculating a product of (i) a measured magnitude of a Fourier transform of a complex transmission function of an object or optical image and (ii) an estimated phase term of the Fourier transform of the complex transmission function. The method further includes calculating an inverse Fourier transform of the product, wherein the inverse Fourier transform is a spatial function. The method further includes calculating an estimated complex transmission function by applying at least one constraint to the inverse Fourier transform.

Abstract: Methods and systems are provided for computing IR drop, i.e., voltage drop, in a semiconductor device. The method includes generating a modeling element corresponding to the plurality of transistors. At least one of the transistors in the modeling element is replaced with a current source. The method also includes performing an IR drop analysis of the modeling element utilizing a software program to calculate the IR drop in the semiconductor device.

Abstract: System and method are disclosed for synchronization of a transmitting device and a receiving device that communicate with each other via pulse modulation. The synchronization technique entails the transmitting device sending one or more quasi-periodic pulse sequences to the receiving device. A quasi-periodic pulse sequence is based on a substantially periodic pulse sequence, and may include some non-periodic pulses or not include some periodic pulses. The transmitting device may transmit frames each including a preamble that comprises one or more quasi-periodic pulse sequences, and a data payload that may comprise data. The receiving device receives the signal, generates samples of the signal, and detects the quasi-periodic pulse sequences in the received signal by analyzing samples based on a sample associated with a pulse and the period associated with the substantially periodic pulse sequence.

Abstract: Embodiments of the present invention recite a data collector with expanded functionality and a method of enhancing revenue generation using a data collector with expanded functionality. In one embodiment, a central unit of a data collector is configured to receive a replaceable unit such that any one of a variety of replaceable units can be configure to be attached to said central unit.

Abstract: A computer-implemented method, system, and/or computer program product monitors operational conditions of a cargo ship. A baseline composite vibration pattern is established from readings generated by multiple smart sensors. Each of the multiple smart sensors is a uniquely-identified smart sensor that has been affixed to one of multiple intermodal shipping containers that have been loaded onto a cargo ship, and each smart sensor includes a vibration sensor for detecting mechanical vibration. Subsequent readings are then taken from the multiple smart sensors to generate a new composite vibration pattern. In response to the new composite vibration pattern being different from the baseline composite vibration pattern, the new composite vibration pattern is matched with a known composite vibration pattern in order to identify a cause of the new composite vibration pattern.

Abstract: A system includes more sensors configured to measure one or more characteristics of rotating equipment and a blind fault detection device. The blind fault detection device includes an input interface configured to receive at least one input signal from the one or more sensors. The blind fault detection device also includes a processing unit configured to identify a fault in the rotating equipment using the at least one input signal. The blind fault detection device further includes an output interface configured to provide an indicator identifying the fault. The processing unit is configured to identify the fault by determining at least one family of frequencies related to at least one sensor point, determining an average energy for the at least one sensor point based on the at least one family of frequencies, and comparing the average energy to a baseline value.

Abstract: A waveform acquiring unit acquires a time waveform of an electromagnetic wave. The time waveform is decomposed into wavelet expansion coefficients by wavelet transform. Influence levels of the respective wavelet expansion coefficients to a spectrum are calculated. The wavelet expansion coefficients are weighted based on at least the influence levels of the wavelet expansion coefficients to the spectrum. The weighted wavelet expansion coefficients are converted into time waveforms by inverse wavelet transform. Thus, the time waveforms that holds spectrum information needed for spectroscopic analysis and has a reduced noise is provided.

Abstract: The invention discloses a real-time detection system for detecting the real-time machining by a rotating machine or rotating quality thereof. The real-time detection system comprises a signal capture module, a preprocessor, a processor and a comparison module. The signal capture module is used to capture a time-sequence signal of the rotating machine. The preprocessor is coupled to the signal capture module for receiving the time-sequence signal and generating a stationary time-sequence signal. The processor is coupled to the preprocessor for receiving the stationary time-sequence signal and calculating a plurality of entropies of the stationary time-sequence signal. The comparison module with an entropy table or a feature judgment mechanism of the entropy variation is coupled to the processor for receiving the plurality of entropy and comparing the plurality of entropy according to the entropy table or the feature judgment of the entropy variation and generating a quality signal.

Abstract: A method of processing an image charge/current signal representative of trapped ions undergoing oscillatory motion. The method includes applying a validity test to each of a plurality of peaks in the image charge/current signal in the frequency domain, wherein applying the validity test to a peak in the image charge/current signal in the frequency domain includes determining whether a phase angle associated with the peak meets a predetermined condition. The method also includes forming a new image charge/current signal that: includes data representative of one or more peaks that have passed the validity test; and excludes data representative of one or more peaks that have failed the validity test. The method may be performed by a mass spectrometry apparatus.

Abstract: Apparatus and methods are disclosed that allow for the monitoring and analysis of production process data for a multi-step asynchronous cyclic production process (e.g. pressure swing adsorption) in a steady state plant (such as a steam methane reforming plant). Data collected from cooperating sensors is processed applying a moving window discrete Fourier transform (DFT). The transformed data can be further analyzed in the broader steady-state plant environment to accurately detect any process anomalies and avoid false alarms.

Abstract: A method and system for determining a rate of turbulent kinetic energy dissipation (TKED) in a turbulent fluid environment are provided. A light source provided at a first end of a predetermined path-length passes a beam of light through the turbulent fluid environment. An angle of arrival detection unit detects the angle of arrival of the at least one beam of light. The angle of arrival is then processed at a processing unit that calculates temperature dissipation spectra as a function of the autocorrelation of the angle of arrival. The peak of the temperature dissipation spectra represents the rate of TKED. A number of turbulent quantities can be determined by using the method and system.

Abstract: A method of detecting a trigger event includes receiving an input signal for analysis. The received input signal is used to generate first data corresponding to sequential sets of spectral output data sets, at least some of the spectral output data sets corresponding to sample points in time acquired from the input signal as the input signal changes with time. At least part of the first data is then compared with second data, the second data corresponding to a predetermined sequential set of signature spectral data sets corresponding to a time-varying spectrum associated with a trigger event. A trigger signal is then generated in response to a change in a state of match between the at least part of first and second data.