66 results about "Characteristic energy" patented technology

A method and apparatus for discriminating the types of radiation interacting with an integrated radiation detector having of a pulse-mode operating photosensor which is optically coupled to a gamma-ray scintillator sensor and a neutron scintillator sensor and uses an analog to digital converter (ADC) and a charge to digital converter (QDC) to determine scintillation decay times and classify radiation interactions by radiation type. The pulse processing provides for, among other things, faithful representation of the true energy spectrum of the gamma radiation field and allows for radioisotope identification by searching for the presence of characteristic energy lines in the gamma energy spectrum. The pulse shape discrimination method ensures that the high sensitivity and resolution of the isotope identification function is not affected during operation in mixed neutron-gamma fields.

The present invention relates to a method of applying a pattern recognition method to a digital spectrometer to carry out nuclide rapid identification. The method comprises the steps of using the digital spectrometer to carry out real-time acquisition and data pre-processing on a nuclear radiation pulse signal, and selecting the characteristic energy ray and the area increase ratio of the characteristic energy peak of a correlated nuclide as the needed characteristic information, wherein the characteristic energy ray can be used as the main characteristic to identify the existence of the nuclide, and the area increase ratio of the characteristic energy peak is used as the auxiliary characteristic to be used as the criterion of the parallel analysis of a multi-ray nuclide. The advantages of the present invention are that: the area increase ratio of the characteristic energy peak of the nuclide substitutes the operation in the conventional method of selecting the full-energy peak area of the characteristic ray of the nuclide as the basis of identifying the existence of the nuclide, so that the identification of the nuclide is not interfered by the full-energy peak counting area of the characteristic ray of the nuclide accumulated in the early stage, and the identification reliability of the nuclide is improved; the characteristic extraction process maps an input pattern from the object space to the characteristic space, so that the quantity of information is compressed, the identification and judgement are easy, and the identification speed and efficiency of the nuclide are improved.

The invention relates to a LaBr3(Ce) crystal-based multi-channel gamma energy spectrum logging instrument. The instrument comprises a probe part, an operating platform, a cable and a winch, wherein the probe part comprises a LaBr3(Ce) crystal gamma ray detector formed by combining LaBr3(Ce) and a photomultiplier, a spectroscope amplifier, a peak holding circuit, a pulse amplitude analyzer and a high and low voltage power supply; the operating platform comprises a power supply converter and a computer; and the spectroscope amplifier receives a pulse signal from the detector, the pulse signal is input into the pulse amplitude analyzer through the peak holding circuit after passing through the spectroscope amplifier, and digital information output by the pulse amplitude analyzer is connected with a 485 communication interface of the computer through a 485 communication interface of the probe, and the cable. The logging instrument can directly measure the characteristic energy spectra of various radionuclides such as a uranium family, a thorium family, potassium and the like in nuclear resource logging, and has the characteristics of high energy resolution, measuring efficiency and stability, and the like.

The invention provides a power transformer winding fault diagnosing method, by which winding deformation fault diagnosis is performed through combination of frequency response analysis (FRA) and empirical mode decomposition (EMD). According to the power transformer winding fault diagnosing method, on the basis of energy change information in each interval during a winding deformation fault as well as the adaptive decomposing capacity of the empirical mode decomposition (EMD), a fault energy characteristic quantity of a winding is extracted to establish a fault energy database; the fault energy characteristic quantity is compared with an energy curve of a transformer winding without a fault; the change trend of the characteristic energy shows the working state of the transformer; and the method is used for establishing a mapping relationship between an intrinsic mode function of the winding deformation and an intrinsic mode function of an FRA signal and establishing an integrated fault diagnosis analysis system based on characteristic energy information of the EMD. The integrated fault diagnosis analysis system can accurately know a basic rule of the change of the transformer winding deformation energy and provides a new research way for determining the type and the degree of a transformer fault and estimating the developmental trend of the fault.

The invention provides a method for monitoring and recognizing pulling rope corrosion and evaluating a fatigue life on the basis of computer vision. The method comprises the following steps: shootingan image of a corroded high-strength steel wire by a perspective inspection window at an anchoring end of a pulling rope, extracting image characteristics from the image, then building a corrosion-degree evaluation model, then building a fatigue-life characteristic energy number evaluation model, matching with a performance degrading state of the corrosion and the fatigue of the steel wire under an artificially accelerated corrosion test, and finally finishing the corrosion-state recognition and the fatigue-life evaluation of the in-service pulling rope. The method provided by the invention has the beneficial effects that the recognition accuracy is high, the speed is fast and the cost is low; the requirement for real-time data processing of online monitoring and early warning of corrosionand fatigue of the pulling rope also can be met, i.e., the image acquired by a consumer-grade ordinary camera is directly recognized without data-set updating; the automation, intelligentization, accuracy and robustness of corrosion monitoring and recognition and fatigue-life evaluation of the pulling rope are improved, and a solution is provided for automatic monitoring and recognition of the corrosion and the fatigue of the pulling rope of a bridge structure.

The invention relates to an early fault determining method for a bearing. The method comprises the steps of cutting an acquired bearing vibration time domain signal into N groups of secondary vibration signals according to the same length; 2, calculating local spectral band energy Mg of each secondary vibration signal, namely, 1) performing frequency domain conversion for each secondary vibration signal; 2) selecting a local spectral band from the whole Hilbert marginal spectrum based on the formula shown in specification as the interval, wherein fp is the bearing fault characteristic frequency calculated based on the bearing structural dimension, and delta f is 2Hz; 3) calculating the local spectral band energy through the formula shown in the specification, wherein h(f) is frequency amplitude in the local spectral band; 3, creating a local spectral band energy sequence through N Mg, wherein the local spectral band energy value of each vibration signal is Mf when the bearing is free of a fault; Mg is not less than the product of K and Mf at M times in the sequence, wherein K is a constant; the characteristic power rate (CPR) is determined according the formula shown in the specification; 4, determining the early fault when the CPR is more than or equal to some constant A.

A characteristic energy method of the power distribution network grounding real-time fault detection is characterized by selecting a Daubechies8 wavelet filter to carry out the 4-order wavelet decomposition on a power distribution network fault recording zero sequence current time series; taking the integrated square of the fourth-layer wavelet decomposition coefficients as the characteristic energy of the fault monitoring, and determining whether a power distribution network grounding fault occurs according to the energy characteristic value of a zero sequence current; when the grounding fault occurs, searching a monitoring point having the largest characteristic energy in the feeder line branches as the fault starting point, and along with the flow-out bus directions of the power flow of the branches, searching a monitoring point having the smallest adjacent characteristic energy as the fault tail, thereby determining that a power distribution network grounding fault section is between the above head and tail end points.

The invention provides a monocular image depth information estimation method based on contour acuity. The method uses edge contour acuity as a fuzzy information estimation characteristic, and through low-level cue information, depth information extraction is carried out. Edge detection is firstly carried out on the image; edge energy and contour acuity are calculated for the edge in the image, the edge energy and the contour acuity serve as outer energy of the contour, inner energy, contour line characteristic energy and contour line distance energy, of the contour is combined to build a contour tracking model, the minimal value of an energy function is solved, and an image contour is searched; then, depth gradient hypothesis serves as a priori assumed gradient model, depth value filling is carried out on an area with different contour lines, and depth distribution is obtained through calculation; and finally, the original image information and the obtained depth image information are used for optimization on the obtained depth image, and a final disparity map is obtained. As is proved by an experimental result, the depth estimation algorithm is simple, and the depth image for the monocular image can be quickly and accurately estimated.

The invention discloses a dynamic reconstruction method of dual-tracer PET (positron emission tomography) concentration on the basis of H infinity filter. The method includes: 1, acquiring coincidence counting; 2, acquiring concentration distribution data of dual-tracer blood through a blood input function; 3, constructing a PET state space equation; 4, estimating PET concentration distribution by the H infinity filter algorithm; and 5, reconstructing corresponding PET concentration distribution data for two tracers. Generally, the component single racer in the experiment of simultaneous injection of dual tracers cannot be separated directly due to the physical characteristic energy singleness of photon; according to the method, while signal components in the two tracers are highly mixed, the dual tracers simultaneously injected are simultaneously reconstructed by acquiring a PET state space model independently guided by a parallel compartment model.

The invention relates to a method for detecting oblique triangle in a digital image. The method comprises the following steps of: acquiring the image and inputting into a computer; computing the gradient of each pixel point; computing an edge graph of the image; computing the directional line of each edge point by using the gradient of each edge point on the edge graph; computing the characteristic length and the characteristic energy of each pixel point in the image to acquire a characteristic length allocation graph and a characteristic energy allocation graph of the image; detecting local maximum points on the characteristic energy allocation graph under the limitation of a threshold value; determining a set of edge points which form a triangle according to each local maximum point and the characteristic length corresponding to the local maximum point; grouping edge points for the triangular edge point set according to gradient directions; verifying and removing unreasonable triangular edge point sets by using grouping numbers; fitting a straight line for each group of edge points of the grouped triangular edge point sets; acquiring the vertex position of the triangle by intersecting straight lines; and finally outputting the vertex position information of the triangle. By the method provided by the invention, the triangle in the image can be exactly detected; and the method is easy to realize, does not need information relative to the given image and has higher computational efficiency compared with the conventional method.

The invention relates to a simple and rapid extraction method of correlated information of ellipses in a digital image. The method comprises the following steps that: an image is collected and is input in a computer; an edge graph of the image is calculated; dual points, characteristic lengths and characteristic energy of all points in the image are calculated, so that a characteristic length distribution map and a characteristic energy distribution map are obtained; local maximum value point detection is carried out on the characteristic energy distribution map under a constraint of a threshold; local maximum value points are utilized to determine focuses, long shafts and short shafts of ellipses; verification is carried out on the ellipses and unreasonable ellipses are rejected by utilizing a ration of characteristic energy to a perimeter of an ellipse; edge points of the ellipses are determined according to a constraint that a sum of distances to two focuses of an ellipse is equal to a long shaft; and correlated information of the ellipses is output. According to the invention, the provided method enables ellipse information in an image to be simply and rapidly obtained.

The invention discloses a detecting and extracting method and system characterized by an image dimension not transforming. According to the method, a direction tensor T not transforming along with transformation of the dimension is defined for each pixel point according to a mathematic model and a characteristic dimension of each pixel point in a two-dimension image, the smallest characteristic value of the direction tensor is calculated, and the characteristic energy intensity of the pixel point is presented through the smallest characteristic value in the same direction; finally, whether the pixel point is an interesting point is detected by judging whether the smallest characteristic value of the pixel point is the largest value of a preset window, wherein the largest value comprises the smallest characteristic value of the pixel point, and extraction of the interesting point is achieved. According to the detecting and extracting method and system characterized by the image dimension not transforming, due to the fact that the direction tensor T not transforming along with transformation of the dimension is defined for each pixel point, the smallest characteristic value of the direction tensor T does not transform along with transformation of the dimension, wherein the smallest characteristic value presents the characteristic energy intensity of the pixel point. Therefore, on the basis of an angle of the characteristic energy intensity finally, the interesting point extracted through the smallest characteristic value of the direction tensor T has good robustness, high accuracy and stability for transformation of image dimension.

The invention discloses a method for intelligently fusing and detecting radar distance extension targets based on intrinsic modal characteristic energy, and belongs to the field of radar signal processing. To overcome the defect that under the situation that the mixed noise background is unknown, an existing distance extension target counting and detecting method is poor in noise environment adaptability, the invention provides the method for intelligently fusing and detecting the distance extension targets based on intrinsic modal characteristic energy differences. According to the method, initialization or supplement is carried out on a noise characteristic database according to the difference effect on echo one-dimensional distance image different frequency intrinsic modal components from the targets and the actual detecting demands, wherein the average energy ratio of the low frequency component to the high frequency component serves as a benchmark; constant false alarm rate characteristics are kept by fusing the characteristic quantity of auxiliary noise data, and the noise database is updated according to the detecting result; statistical modeling does not need to be carried out on the noise background. The method is especially suitable for detecting fixed or slowly-moving weak distance extension targets, and has very strong false-alarm control ability.

The invention relates to a signal decomposition method based on improved empirical wavelet decomposition. The method comprises the following steps: carrying out Fourier power spectrum density spectralline solving on a fault signal; selecting a plurality of different threshold values to remove the interference component spectrum values, decomposing the fault signals based on the new spectral line,and screening an optimal threshold value, an optimal decomposition result and a modal component containing rich fault characteristic information by using the fault characteristic energy ratio information. Under the interference background, modal components containing rich fault feature information can still be effectively and optimally decomposed, interference is eliminated, modal aliasing and excessive decomposition phenomena are restrained, an ideal decomposition result is obtained, the defects of EWT are overcome, and the theoretical method of modal decomposition is enriched.

The invention provides a method for confirming yield through spectrum unfolding analysis of a stratum element logging instrument. The method comprises the following steps of confirming a segment area number n and left and right boundaries kn and kn+1 of each segment area; calculating a standard trap spectrum normalization response matrix A; calculating a total numerical value ci of a spectrum to be unfolded in each segment area; calculating an opposite angle weighting matrix W; calculating a weighted least square method spectrum unfolding to obtain the yield yj; utilizing a mean value delta 2 of residual sum of squares to judge an imitative effect. The invention adopts a segment clamping manner spectrum unfolding method. The segment clamping manner is characterized by selectively selecting a channel area, in which an characteristic energy spectrum of an element is located, to unfold the spectrum. Through MC numerical simulation, the method has no large effect on spectrum unfolding.

The invention discloses a quality control calibration method and system for single-photon emission tomography equipment. The method comprises a step of placing a uniform surface source model with the injection of target nuclide at the front surface of a single-photon emission tomography equipment probe with a collimator, a step of collecting original data of output digital signal amplitude and time information of each independent channel, a step of obtaining a gain pre-correction coefficient according to a method of comparison a reference and correcting the output original data of each channel, a step of collecting corresponding data according to needs to complete the gain correction and energy correction calibration operations of a detected, and a step of realizing probe energy resolution and scale factor quality control calibration through introducing one or more characteristic energy peaks of a collimator or detector composition material on the basis of not increasing radiation source types. According to the method and the system, equipment probe pendulum does not need to be in a special calibration mode, special space requirements are not needed, and a technical support is provided for the fault diagnosis of remote equipment.

The invention relates to a diesel engine exhaust gas purifier diagnosing method based on a sound wave signal HHT marginal spectrum and belongs to a diagnosing technique of a diesel engine exhaust gas aftertreatment system. In a diesel engine operation process, a sound wave signal collector (4) can send sound wave signals x(t) collected by the outlet end of a purifier to a sound wave signal processing unit (9), HHT marginal spectrum analysis is carried out on the signals, the signals are processed to obtain sound wave HHT marginal spectrum feature signals, and the sound wave HHT marginal spectrum feature signals comprise tested feature frequency and tested feature energy. An electrical control unit (5) can inquire the sound wave HHT marginal spectrum feature signals MAP to find out the sound wave HHT marginal spectrum feature signals under the corresponding work condition according to the rotation speed signals and the torque signals of a current diesel engine, and the sound wave HHT marginal spectrum feature signals comprise calibrated feature frequency and calibrated feature energy. The electrical control unit (5) can compare four parameters to determine whether the exhaust gas purifier works normally. The method can accurately identify plug conditions and give out regeneration time and can accurately identify breakage, especially micro breakage, of the exhaust gas purifier.

The invention discloses a method and device for detecting the thickness of a film. The method comprises the following steps that electron beams with the same energy and the same strength are projectedto a reference sample and a to-be-detected sample, and the samples are excited to emit X-ray fluorescence; the strength of X-ray fluorescence characteristic energy corresponding to target elements inthe two samples is collected; the thickness of the film is calculated according to a relational expression between the ratio of the two pieces of strength and the thickness of the film; when a blanksubstrate is adopted as the reference sample, the strength of X-ray fluorescence characteristic energy corresponding to a target element in the substrate is collected; and when a block standard samplemade of the same material as the film is adopted as the reference sample, the strength of X-ray fluorescence characteristic energy corresponding to a target element in the substrate is collected. Themethod and device for detecting the thickness of the film adapt to measurement of the thickness within the large range of 0.1 nm to 100 nm by adjusting the energy and the angles of the incident electron beams.

Disclosed is an electrophotographic photoreceptor which comprises a base material and a photoconductive layer. The photoconductive layer is formed on the base material, and comprises a non-single-crystal material mainly composed of silicon. In the photoconductive layer, with regard to a characteristic energy E (eV) which has the relationship with a light absorption coefficient α (cm⁻¹) represented by the following formula (1), the characteristic energy E1 (eV) for an exposure wavelength in larger than the characteristic energy E2 (eV) for a neutralization wavelength. [Formula (1) α=C exp(hω/E) C: a constant hω: a photon energy h: a rationalized Planck's ω: the number of frequency

The invention belongs to the field of uranium exploration, and particularly relates to a precession drilling-type activated carbon package gamma spectrum radon measurement method. The method comprises the following steps: a precession-type drill bit, an activated carbon package, a self-sealing transparent plastic bag and a gauze bag are customized; a radon decay daughter region of interest and a thorium decay daughter region of interest on a ground gamma spectrometer are set; the overburden ratio of the ground gamma spectrometer and a radon concentration conversion factor are determined; the activated carbon package is packaged; field data are acquired; and the data are processed and corrected. The method can effectively capture radon in a gas, liquid or particle state in a geogas, a radon decay daughter <214>Bi characteristic energy peak net counting rate is measured, the radon concentration is converted after correction and processing, the tedious operation of the conventional activated carbon radon measurement method is simplified significantly, the radon measurement economic cost is greatly reduced and the radon measurement data reliability is effectively improved.

A lie detecting method used for public security department includes such steps as giving different questions to the person to be detected, answering the questions by the person while using the reflecting method of two red light beams and two infrared light beams to respectively obtain the 8 data signals about the concentration variations of cerebral oxyhemoglobin on 4 acupoints in left and right frontal and temporal regions of the person, inputting them to computer, processing said data signals by calculation, configuring the recognizing parameters based on the characteristic energy value of cerebral nerve mediator, and judging if the person tells a lie according to a critical reference value.

The invention relates to a method for locating a grounding fault of a power distribution network based on multi-sample frequency wavelet character energy conversion. The method comprises the following steps of: adopting the time sequences in equal length and at same starting point for performing wavelet conversion on the original data of the sampling values in different sampling frequencies; converting the acquired original character energy values in all the time sequences onto the minimal sampling frequency; and comparing the magnitude of the relative character energy in all the time sequences in a same frequency, thereby realizing the grounding detection and the fault locating. According to the method, the wavelet conversion is adopted for extracting the fault character energy, converting the fault recording signals in different sampling frequencies into the relative character energy in the minimal sampling frequency and then judging the existence of the grounding fault according to the relative character energy and confirming the beginning and ending of the fault.

The invention discloses a method for detecting the liquid height in a stirred tank reactor, including the following steps: (1)arranging an acoustic emission signal received device at the outer wall of the reactor; (2)receiving the acoustic emission signal in the stirred tank reactor; (3)selecting the average energy E of the acoustic emission signal at the wall of the stirred tank reactor as the characteristic variables; (4) judging the liquid height in the stirred tank reactor by the characteristic energy E of the acoustic emission signal stirred tank al at the wall of the stirred tank reactor according to the forecast model or standard curve of the predetermined characteristic variables E and the liquid height in the reactor. The acoustic emission signal received device for the method is non-inserted, and has convenient installation, safety and environment protection, sensitive response, accurate measure, wide application range and the like.