176 results about "Transient signal" patented technology

The invention provides an adaptive stochastic resonance weak fault detection method based on kurtosis optimization, and belongs to the technical field of fault detection, and the method comprises the steps: collecting and preprocessing a transient signal on a cable line; constructing a bistable stochastic resonance model; kurtosis of the output signal is used as a fitness function, and potential well parameters of the bistable stochastic resonance model are optimized based on a particle swarm optimization algorithm; and substituting the optimized potential well parameter into the bistable stochastic resonance model, and processing the preprocessed transient signal to obtain an enhanced output signal for fault detection. The method has the beneficial effects that the stochastic resonance system is constructed on the basis of the classical bistable model, the kurtosis of the output signal is used as the fitness function of the particle swarm optimization algorithm, the potential well parameters are adaptively optimized, the potential well parameters are driven to automatically converge to the optimal state, and the robustness of the system is improved. The high-impedance grounding fault traveling wave signal can be extracted and enhanced from a strong noise background, and the detection sensitivity and reliability are improved.

The invention relates to the technical field of power distribution network fault positioning, in particular to a power distribution network fault traveling wave positioning method and system, and the method comprises the steps: synchronously collecting a transient signal through a distributed traveling wave sensing unit, and extracting an initial traveling wave arrival time; constructing an adaptive wave velocity model based on line physical parameters to calculate an equivalent propagation velocity; dynamically generating a traveling wave propagation tree according to the real-time switch state to determine an effective monitoring path; based on the propagation path and the actual arrival time, an optimization algorithm is adopted to determine a preliminary fault point; and calculating a consistency index of the polarity of the traveling waves of the adjacent nodes, starting a multi-hypothesis tracking mechanism in a preliminary point neighborhood when the consistency index is lower than a threshold value, performing confidence coefficient weighted evaluation by combining a traveling wave attenuation model, and outputting an accurate positioning result. According to the method, through cooperation of dynamic topology mapping, adaptive wave velocity correction and multi-source closed-loop verification, the precision, reliability and adaptive capability of fault positioning in a complex power distribution network environment are remarkably improved, and the operation and maintenance requirements of rapid self-healing are met.

The invention relates to the technical field of power distribution network fault detection, and discloses a power distribution network high-resistance grounding fault intelligent detection method, system and device and a medium, and the method comprises the steps: collecting a power distribution network line transient signal which comprises a transient zero-sequence voltage signal and a transient zero-sequence current signal; preprocessing the transient signal and extracting a multi-dimensional feature set for representing high-resistance grounding fault characteristics, wherein the multi-dimensional feature set comprises a transient energy feature, a wavelet entropy feature and a harmonic component feature; and inputting the extracted multi-dimensional feature set into a pre-trained machine learning model, and simultaneously outputting a judgment result of the high-resistance grounding fault and an estimated value of the grounding resistance through the machine learning model. According to the method, the transient energy, the multi-scale wavelet entropy, the odd harmonic amplitude and the phase, which are derived from different analysis domains and have complementary physical meanings, are deeply fused, so that the problem that a single feature is weak in characterization capability and easy to fail under the conditions of high noise and high resistance is effectively solved.

The invention provides a power distribution network fault section rapid calibration method based on a feeder terminal. According to the method, power distribution network line electrical quantity and distributed power supply output information are collected in real time through a feeder terminal and preprocessed, then fault transient signals are processed through complete set empirical mode decomposition of mean value self-adaptive noise, and intrinsic mode components are obtained to judge fault types. Thirdly, fault section preliminary positioning is carried out, and an approximate area is determined according to a positive sequence voltage vector for a symmetric short-circuit fault, a negative sequence voltage vector for an asymmetric short-circuit fault and a zero sequence current amplitude for a single-phase earth fault; then accurate calibration is carried out, a single-phase earth fault is judged through a filter and correlation coefficients, and short circuit and broken line faults are calibrated through a model or an intelligent algorithm in combination with line topology and electrical parameters. And finally, establishing a target function containing a penalty term, converting the target function into a Markov decision process, solving through an approximate dynamic programming algorithm, realizing rapid and accurate calibration of a fault section, and improving the power supply reliability of the power distribution network.

The invention relates to the field of machine learning, particularly discloses an artificial intelligence-based power system fault analysis and diagnosis method, and effectively solves the problem of information loss caused by neglecting a key waveform form in a transient signal in the prior art through a local feature extraction and serialization module. An original signal is converted into a local feature sequence with more characterization significance. Aiming at the averaging bottleneck of an existing model in an information aggregation stage, a traditional feature compression method is abandoned, and a sequence information aggregation and decision-making mechanism is provided. According to the mechanism, a context sensing sequence is regarded as a probability event, and modeling is carried out on the sequence from three orthogonal dimensions of a content center, time sequence dispersion and distribution uncertainty by calculating feature expectation, time sequence variance and information entropy of the context sensing sequence. The method can deeply insight and quantify the essential difference of different events in the time sequence dynamic evolution mode, thereby fundamentally solving the problem of misjudgment caused by feature confusion.

The invention discloses an ultratrace mercury isotope analysis method, and relates to the technical field of environmental analysis. The method comprises the following steps: purging a liquid sample to be detected by nitrogen in a stannous chloride atmosphere, and trapping and concentrating mercury into a gold trapping tube; pyrolyzing the pyrolytic gold trapping tube to release mercury vapor; pyrolytic mercury vapor and thallium isotope internal standard aerosol are mixed to serve as a sample injection sample, and the sample injection sample is introduced into a multi-receiver inductively coupled plasma mass spectrometry; acquiring a mercury instantaneous signal and a thallium isotope signal; and calculating the mercury isotope ratio by adopting least square linear regression fitting in combination with a thallium internal standard ratio correction algorithm. According to the method, the instantaneous mercury isotope signal is generated by online combination of gold trapping and multi-receiver inductively coupled plasma mass spectrometry, the instantaneous signal is strategically collected and processed, the determination concentration of isotope analysis can be greatly reduced, the sensitivity of the method is remarkably improved, and direct determination of mercury isotope composition in a water sample with the concentration of 10 ng L <-1 > is met.

The invention belongs to the technical field of cable fault positioning, and discloses a cable branch box fault early warning and positioning system based on online partial discharge monitoring. Comprising a topology building module which is used for building a topology model in a cable branch box and defining a signal propagation path rule; pre-calculating signal expectation characteristics from each topological node to all monitoring sensors to form a structured expectation library; the acquisition and analysis module is used for acquiring multi-source transient signals and performing feature extraction to obtain an information fusion matrix; the decoupling positioning module is used for performing analysis based on the information fusion matrix and the structured expectation library to obtain a fault positioning point; the evaluation and early warning module is used for extracting all transient events in a preset time period corresponding to the fault positioning point, forming a time sequence feature sequence, extracting and analyzing an evolution index of the time sequence feature sequence, obtaining a risk transition probability, dividing risk levels and carrying out corresponding early warning; according to the invention, non-confusion accurate positioning of the partial discharge source of a specific joint or a cable section in the branch box is realized.

The invention discloses a power distribution network traveling wave fault positioning method and a related device, and relates to the technical field of power distribution networks, and the method comprises the steps: collecting a transient signal after a fault at a preset key monitoring point of a power distribution network, extracting an initial traveling wave head from the transient signal, and measuring the moment when the initial traveling wave head reaches other preset monitoring points in the power distribution network, obtaining traveling wave arrival time between the key monitoring point and each monitoring point; the time difference between the traveling wave arrival time is used as the actually measured traveling wave arrival time difference to construct a fault positioning optimization model with the purpose of minimizing the error sum of squares of the theoretical traveling wave arrival time difference and the actually measured traveling wave arrival time difference; and solving the fault positioning optimization model through a pre-constructed chaos particle swarm optimization algorithm to obtain a traveling wave fault positioning result of the power distribution network. The method solves the problems that the positioning effect is not ideal due to the fact that the prior art is prone to falling into local optimum and is poor in adaptability to a complex topological structure, and the convergence speed cannot meet the requirement for rapid power supply recovery.

The invention provides an online power supply switch mutual inductor fault detection method and system, a medium and a product, and relates to the technical field of online monitoring and fault diagnosis of power equipment, and the method comprises the steps: generating a synchronous triggering instruction at the zero crossing point moment of the power frequency current of a mutual inductor; in response to the instruction, injecting an excitation pulse into a secondary circuit of the mutual inductor and synchronously acquiring a feedback voltage to obtain a mixed transient signal; extracting a pure response waveform only containing a high-frequency component from the mixed transient signal to carry out multi-resolution time-frequency transformation, and calculating and outputting a multi-dimensional feature vector representing a winding state; inputting the multi-dimensional feature vector into a pre-trained neural network model for classification operation to obtain a fault classification probability of the current transformer state; and comparing the fault classification probability with a preset confidence threshold to generate a fault diagnosis result of the mutual inductor. By implementing the method, the recognition sensitivity of the system on early weak faults and high-frequency distribution parameter changes of the mutual inductor can be improved.

The invention discloses a power distribution network self-healing strategy generation method and system which are used for solving the technical problem that when an existing power distribution network self-healing strategy generation method faces a fault, simple label matching is carried out only according to a fault type and a line basic structure, and the rapid power restoration quality of a power distribution network is poor. The method comprises the following steps: acquiring surface temperature distribution data of power distribution network equipment and abrupt change high-frequency transient signals of power distribution line nodes; constructing a dynamic topological graph of the power distribution network, and constructing a dynamic three-dimensional matrix according to the dynamic topological graph of the power distribution network, the surface temperature distribution data of the power distribution network equipment and the abrupt change high-frequency transient signals of the power distribution line nodes; generating a plurality of priority self-healing strategies according to a preset basic strategy library, the power distribution network optimization function and the power distribution network constraint conditions; and based on a fuzzy analytic hierarchy process, screening each priority self-healing strategy by adopting a power distribution network optimization function according to the dynamic three-dimensional matrix, and determining a target power distribution network self-healing strategy.

The invention discloses a seismic wave velocity change analysis method under a hydraulic fracturing condition, and belongs to the technical field of seismic wave propagation analysis. The method comprises the following steps: S1, acquiring data by using a plurality of seismic stations and removing transient signals by using a long and short window method; s2, calculating a cross-correlation function between the two stations; s3, extracting a tail wave signal and estimating relative velocity change by using mobile window cross-spectrum analysis; s4, extracting a group velocity frequency dispersion curve based on a cross-correlation function, and constructing a two-dimensional velocity model before and after fracturing; and S5, generating a speed image through inversion, and calculating a difference image to reveal speed change characteristics. According to the method, the tail wave sensitivity and the moving window cross-spectrum analysis are combined, the speed change and the anisotropy characteristics of the speed change are accurately quantified, the method is suitable for the complex geological environment, and a new interpretation framework is provided for the influence of hydraulic fracturing on the underground structure.

The invention discloses a power transmission line fault positioning method, device and equipment and a computer readable storage medium, and the method comprises the steps: collecting an electrical transient signal when a power transmission line breaks down, and carrying out the preprocessing of the electrical transient signal, and obtaining a standardized signal; performing multi-scale decomposition on the standardized signal, extracting energy features of each sub-band, and constructing a time-frequency-energy three-dimensional feature vector representing a fault; constructing a gating circulation unit network model, and performing global optimization on key hyper-parameters of the GRU network model by adopting a sparrow search algorithm SSA; and processing the time-frequency-energy three-dimensional feature vector by using a GRU network model subjected to SSA optimization so as to position the fault of the power transmission line. According to the method, the problems of low positioning precision and poor adaptability caused by noise interference, model mismatch and manual parameter adjustment limitation in a complex power grid environment can be solved, and millisecond-level, high-precision and high-robustness precise positioning of the power transmission line fault is realized.

The invention discloses a transient signal detection and sorting method based on time-frequency image deep learning, and relates to the technical field of signal sorting. Based on a hypergraph model and core polymorphic sites, the hypergraph model is divided into a plurality of independent substructures by analyzing the distribution characteristics of hyperedge dynamic weights, independent modal analysis is performed on each substructure, and a transient signal detection and sorting result is obtained. Extracting a time-frequency distortion coefficient matrix and an interference response mode matrix; inputting the multi-modal data into a multi-modal network to generate a homogeneous transformation matrix; and based on the homogeneous transformation matrix, deriving attitude error parameters and translation error parameters, feeding back the attitude error parameters and the translation error parameters to a feature input layer and a decision layer of the multi-modal deep learning detection and sorting model, completing dynamic correction of model parameters, and detecting and sorting real-time signals again after model correction. According to the sorting method, the detection rate and sorting accuracy of transient signals are remarkably improved in real-time processing, and meanwhile, the false alarm and leak detection risks are reduced.

The invention discloses a fault diagnosis method and system for hydraulic element general equipment, and relates to the technical field of hydraulic element fault diagnos.The method comprises the steps that control channels of the general equipment are recognized based on hydraulic elements, transient signals are collected in all the control channels in real time, preset interference constraints are introduced, and fault diagnosis is conducted on the general equipment; generating an interference factor through a high-entropy random disturbance source, performing disturbance analysis on the amplitude, the frequency and the waveform state of the transient signal, and generating an interference identifier; a health state vector is formed in combination with the operation working state, the deviation degree of the health state vector and the health baseline characteristic spectrum is compared, if the deviation degree is smaller than a standard deviation threshold value, a state evaluation strategy is executed in the first diagnosis channel, and a health stability trend is recognized; if the deviation degree is greater than or equal to the standard deviation threshold value, executing a fault diagnosis strategy in the second diagnosis channel, and identifying a fault sign; according to the invention, efficient division of labor of health assessment and fault diagnosis is realized, and the effect of accurately identifying fault signs is achieved.

The invention relates to the technical field of audio signal processing, and discloses a wind-noise-resistant self-adaptive volume adjustment method and system for a riding earphone, and the method comprises the following steps: S1, collecting environment sound and a source audio signal in parallel; s2, analyzing environment sound, and determining macroscopic adjustment intensity; s3, analyzing the source audio in parallel, and identifying a content type and a transient signal of the source audio; s4, based on the psychological acoustic model, generating a frequency-related target method tone quality compensation gain; s5, performing dynamic smoothing and frequency weighting on the target gain according to the content and the transient characteristics to generate an application gain; s6, fusing the macroscopic adjustment intensity and the application gain, and synthesizing a final gain parameter; and S7, applying the final gain to the source audio, and outputting the compensated audio. According to the method, the psychological acoustic model and audio content parallel analysis are fused, frequency-level accurate compensation is realized, the problems of traditional degradation and sudden hearing sense change are solved, and the audio definition and comfort are improved.

The invention discloses a complex working condition high-precision electric energy metering method, which belongs to the technical field of electric energy metering and comprises the following metering steps: S1, wide-range current and voltage signals are divided into N intervals through a multi-section analog signal acquisition circuit; s2, processing the voltage signal and the current signal; s3, analyzing the voltage sampling sequence and the current sampling sequence in real time based on the characteristic parameters; s4, according to the identified working condition type, dynamically selecting or weighting and fusing a target metering algorithm from a plurality of pre-stored electric energy metering algorithms; and S5, performing electric energy calculation by using the target metering algorithm to obtain a high-precision electric energy metering result. According to the high-precision electric energy metering method under the complex working condition, the multi-section analog signal acquisition circuit is adopted, so that power grid signals can be more accurately acquired, particularly, high-frequency harmonic waves and transient signals are more accurately captured, and a reliable data basis is provided for subsequent high-precision electric energy metering.

The invention discloses a traveling wave fault positioning method and device for a multi-branch hybrid line, and a medium, and relates to the technical field of electrical variable measurement. The method comprises the following steps: acquiring a high-frequency transient signal generated in the hybrid line based on a traveling wave synchronous monitoring device deployed on a monitoring node in the hybrid line, and extracting a signal feature corresponding to the high-frequency transient signal; according to the signal characteristics and the signal energy of the high-frequency transient signal, performing fault pre-identification on the hybrid line to determine a pre-fault event generated in the hybrid line and a pre-fault section corresponding to the pre-fault event; when it is detected that the signal characteristics exceed a preset fault starting threshold value, it is determined that the hybrid line generates traveling waves, and wave head arrival time corresponding to traveling wave signals received by the monitoring nodes is obtained; according to the line topological relation of the mixed line and the sequence of the wave head arrival time corresponding to different monitoring nodes, fault branches generating traveling waves in the pre-fault section are determined.

The invention discloses an elastic pin connector based on a double-convex-hull fuzz button contact piece, belongs to the technical field of electric connectors, and aims to solve the problems of high contact resistance, easiness in abrasion, easiness in transient signal interruption and the like caused by point contact of a traditional elastic pin connector. The connector comprises a sleeve with a one-way opening, an elastic piece and a needle head are sequentially assembled in the sleeve from the bottom to the opening, and the head end of the needle head extends out of the sleeve; two symmetrical annular convex hulls are arranged on the periphery and are formed by a plurality of strands of metal wires, and the distance between the convex hulls is larger than half of the axial length. During testing, the needle head is in contact with a tested chip and is compressed by the elastic piece under axial pressure, and the annular convex hull is in contact with the inner wall of the sleeve to form an electric signal conduction path of'contact point-needle head-sleeve '; after testing, the elastic piece rebounds, and the convex hull is separated from the inner wall of the sleeve to reset. The connector improves the contact stability, prolongs the service life, and is suitable for a high-reliability test scene of a chip.

A radiofrequency, RF, generator, in particular for a plasma application, including at least one cooling element having an upper surface and a lower surface; at least one DC power supply; at least one power stage to amplify an RF signal and connected to the upper surface of the at least one cooling element, wherein the power stage include one or more power amplifiers; a driver to supply the power amplifier of the at least one power stage and connected to the upper surface of the at least one cooling element; wherein the at least one DC power supply is connected by a busbar with the power amplifier and the driver, wherein a DC voltage Vbusbar is supplied to the power amplifier and the driver via the busbar; and wherein the busbar comprises a damping network including a plurality of capacitors connected between ground and the busbar and configured to shape transients on Vbusbar.

The invention belongs to the technical field of analysis of single particles, and particularly discloses a method for detecting the atomic number ratio of multiple elements in a single particle in a nano material, which can synchronously collect ion signals of all the elements in the single particle, accurately measure the intensity of each element in a transient signal, and improve the detection accuracy. A novel data processing method, namely a statistical distribution fitting method, is adopted, so that the real and accurate multi-element atomic ratio is calculated, and the inherent defects of the traditional SP-ICP-MS and TEM technologies are overcome; meanwhile, the problem that part of nano-particles are unstable in a water phase is solved through an organic phase oxygen adding and sampling method.

The application provides a power distribution line fault positioning method and system. Transient current traveling wave signals of each monitoring section of a power distribution line and measurement data of a doubly-fed wind turbine are collected when a fault occurs. Equivalent inductance analysis is performed on the doubly-fed wind turbine based on the measurement data to obtain a dominant characteristic frequency band. A plurality of transient signal characteristic quantities are determined according to the dominant characteristic frequency band and the transient current traveling wave signals. The energy distribution of the transient current is determined according to all the transient signal characteristic quantities. The transient energy of each monitoring section of the power distribution line is evaluated according to the energy distribution to obtain the distribution difference of each monitoring section. When the distribution difference of any monitoring section exceeds a threshold value, the monitoring section is determined to be a fault section, and the distance of the fault point in the fault section is determined. The scheme of the application can be used to position the fault of a weak power grid power distribution line under the coupling mechanism of the transient response characteristics of the doubly-fed wind turbine and the meshed loop.

The application provides a rail corrugation detection method under variable speed conditions based on a multi-window spectrogram, which adopts a time-frequency analysis method of a multi-window re-distribution spectrogram, and optimizes re-distribution coordinates so that they are gathered on the instantaneous frequency of a transient signal, and the obtained rail corrugation fault frequency has high time-frequency gathering, strong anti-interference ability and clear identification degree. In the rail corrugation damage fault detection under variable speed conditions, the application verifies the simulation signal and the field measured signal. The results show that the time-frequency method of the multi-window coordinate re-distribution spectrogram has excellent application effect in the rail corrugation detection, can accurately analyze the fault frequency of the rail corrugation excitation under the traction and braking conditions, and obtains relatively accurate results when applied to the field measured data, which reflects the high resolution, high time-frequency gathering and strong anti-interference ability.

The invention relates to the technical field of quantum dot material performance detection, in particular to a transient photoelectric detection method for the aging degree of a quantum dot display screen material. Comprising the following steps: repeating multiple groups of excitation tests, calibrating core photoelectric parameters of an unaged standard sample and constructing a dynamic threshold library, and performing synchronous photoelectric signal acquisition and real-time compensation correction on a to-be-detected sample in a controlled environment; the collected transient signals are corrected, and three core parameters of fluorescence decay lifetime, transient current peak and carrier mobility are extracted; dynamically adjusting the threshold weight according to the quantum dot type and the use environment, comparing the extraction parameter with the dynamic threshold, judging the non-aging grade and the aging grade according to the comparison result, and generating a judgment report; through the mode, the signal acquisition quality is improved, and the actual requirements of high precision, high efficiency and nondestructive testing are met.

The invention discloses an over-current protection method, device, equipment and product for grid connection of a distributed power supply, and provides an over-current protection technology based on transient signal polarity comparison, namely, fault phase transient voltage and current information of a protection terminal connected with a node is acquired; the polarity of the transient signal of each protection terminal is determined; then, determining a fault area based on the polarity of the transient signal; then, the specific position of a fault point in the fault area is determined by comparing the polarities of transient signals of all protection terminals of the node, and finally, the protection terminal corresponding to the fault point is controlled to act, so that the purpose of overcurrent protection can be achieved. Therefore, compared with a traditional over-current protection technology, the over-current protection method has the advantages that the polarity of the transient signal is utilized to perform fault detection, the problems of protection refusal and non-fault line protection maloperation existing in the traditional technology are avoided, and therefore the over-current protection method is very suitable for large-scale application and popularization in a power distribution network system of distributed power supply grid connection.

The invention discloses a bracelet tumble detection system and detection method based on a magnetic attraction split type framework, and belongs to the technical field of intelligent wearing. The system comprises an upper watch body and a lower watch body which can be separated, and the lower watch body continuously monitors the connection state of an acceleration sensor and a magnetic attraction contact. When a user falls down, a transient signal interaction change of a contact can be caused by a violent impact force, and a specific electric signal characteristic is generated. According to the invention, through fusion analysis of the acceleration sensor threshold and the contact transient signal, high-precision and low-false-alarm identification of the fall event is realized. Meanwhile, the split type design is matched with a double-battery management strategy, so that the problem of monitoring interruption during the charging period is solved. The system also has a multi-level alarm link guarantee, and ensures reliable transmission of help-seeking information. According to the invention, the safety monitoring capability of wearable equipment of high-risk crowds such as old people is effectively improved.

This invention relates to the field of frequency regulation technology at the grid connection point of wind power converters, providing an adaptive regulation method and system for the frequency of wind power converters at the grid connection point. By dynamically capturing transient signals in the instantaneous values ​​of the three-phase voltage and current at the grid connection point (PCC) and quantifying their disturbance intensity and type characteristics, the virtual inertia and damping coefficient can be adaptively adjusted to generate an active power command that precisely matches the actual disturbances in the power grid. This refined regulation enables the wind power converter to provide highly differentiated frequency support for different disturbances, significantly enhancing the frequency stability of the power grid, while effectively suppressing unnecessary power fluctuations and energy losses, thus improving the economy and reliability of system operation.

Disclosed is a particle detector comprising: - a semiconductor substrate comprising a sensitive volume for producing charges on passage of a particle, at least one front contact island under a front side of the substrate, and at least one back contact island under a back side of the substrate, - at least one front electrode making contact with the front contact island; - at least one back electrode making contact with the back contact island; - an acquisition chain for detecting transient signals coming from the front electrode. The front electrode is an electrode for applying voltage and detecting transient signals. It is produced on only part of the front side of the semiconductor substrate, without guard electrodes, such that a non-uniform electric field is created in the sensitive volume when the electrode is supplied with a voltage.

The invention belongs to the technical field of digital detection of power distribution automation equipment, and particularly relates to a transient signal traceable measurement and evaluation system and method in a power distribution scene, and the system comprises a power distribution automation terminal detection platform power source which is used for simulating a transient voltage / current signal and transmitting the transient voltage / current signal to a voltage / current processing unit; the voltage / current processing unit is used for processing the transient voltage / current signal to obtain a test signal and sending the test signal to the oscilloscope and the data processing unit; the oscilloscope is used for generating a waveform of the test signal after receiving the test signal, obtaining a test waveform and sending the test waveform to the data processing unit; and the data processing unit is used for carrying out quality analysis on the test signal according to the test waveform. According to the technical scheme provided by the invention, accurate measurement and quality evaluation of the power source analog output transient signal are realized by utilizing traceable instrument equipment.

An apparatus for decoding a signal is provided. The apparatus comprises a transient separator (410) for separating an apparatus input signal into a first signal component and into a second signal component such that the first signal component comprises transient signal portions of the input signal and such that the second signal component comprises non-transient signal portions of the input signal. Moreover, the apparatus comprises a transient decorrelator (420) for decorrelating the first signal component according to a first decorrelation method to obtain a first decorrelated signal component; wherein the transient decorrelator (420) is configured to decorrelate the first signal component according to the first decorrelation method by multiplying a phase term with the first signal component. Furthermore, the apparatus comprises a further second decorrelator (430) for decorrelating the second signal component according to a second decorrelation method to obtain a second decorrelated signal component, wherein the second decorrelation method is different from the first decorrelation method. Moreover, the apparatus comprises a combining unit (440) for combining the first decorrelated signal component and the second decorrelated signal component to obtain a decorrelated combination signal. Furthermore, the apparatus comprises a mixer (450), being adapted to receive mixer input signals and being adapted to generate output signals based on the mixer input signals and a mixing rule. The mixer (450) is adapted to receive correlation / coherence parameter data indicating a correlation or coherence between two signals and is adapted to generate the output signals based on the correlation / coherence parameter data.