CN118191487A - Method and system for rapidly detecting state of arc suppression coil - Google Patents
Method and system for rapidly detecting state of arc suppression coil Download PDFInfo
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Abstract
The invention relates to the technical field of data analysis, in particular to a method and a system for rapidly detecting the state of an arc suppression coil, which comprise the following steps: collecting current data and temperature data; according to the amplitude values in the current data and the temperature data, the possibility that the baseline of the current data deviates at each moment is obtained; carrying out LMD (least mean squares) decomposition on the current data to obtain a plurality of component signals, and obtaining the synthesis weight of each component signal; acquiring a baseline of the current data according to the possibility of the baseline of the current data to deviate at each moment and the synthetic weight of each component signal and combining the amplitude value in each component signal; and obtaining current data with the base line removed through the base line of the current data, and detecting the state of the arc suppression coil according to the current data with the base line removed. The invention improves the accuracy of detecting the state of the arc extinguishing coil by removing the baseline offset of the current data in the arc extinguishing coil.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a method and a system for rapidly detecting the state of an arc suppression coil.
Background
According to the invention, the purpose of detecting the state of the arc suppression coil is realized by measuring the current data in the arc suppression coil and analyzing the current data in the arc suppression coil. Because the arc suppression coil converts the return electric energy into heat energy in the working process, the temperature of the arc suppression coil rises, and the temperature change of the arc suppression coil can cause the baseline of current data to deviate, so that the acquired current data are inaccurate, and the state of the arc suppression coil cannot be accurately detected, so that the baseline deviation of the current data needs to be eliminated. However, when the baseline deviation of the current data is eliminated by using the traditional LMD decomposition, because the degrees of the current data represented by different PF components are different, the baseline deviation of the current data is eliminated by using the traditional LMD decomposition, so that part of detail characteristics of the current data can be lost, and finally, the traditional detection precision of the state of the cancellation arc ring is low.
Disclosure of Invention
The invention provides a method and a system for rapidly detecting the state of an arc suppression coil, which are used for solving the existing problems: conventional LMD decomposition eliminates baseline shifts in current data, which can cause loss of some detail features in the current data, ultimately resulting in low accuracy in detecting conventional cancellation coil conditions.
The invention discloses a method and a system for rapidly detecting the state of an arc suppression coil, which adopts the following technical scheme:
the embodiment of the invention provides a rapid arc suppression coil state detection method, which comprises the following steps:
Collecting current data and temperature data;
acquiring the possibility of deviation of a baseline of the current data at each moment according to the amplitude values in the current data and the temperature data;
carrying out LMD decomposition on the current data to obtain a plurality of component signals; acquiring a first contribution factor of each component signal according to an envelope signal in each component signal; acquiring a second contribution factor of each component signal according to the pure frequency modulation signal in each component signal; acquiring the synthesis weight of each component signal according to the first contribution factor of each component signal, the second contribution factor of each component signal and each component signal;
Acquiring a baseline of the current data according to the possibility of the baseline of the current data to deviate at each moment and the synthetic weight of each component signal and combining the amplitude value in each component signal; and obtaining current data with the base line removed through the base line of the current data, and detecting the state of the arc suppression coil according to the current data with the base line removed.
Preferably, the obtaining the possibility that the baseline of the current data deviates at each moment according to the amplitude values in the current data and the temperature data includes the following specific methods:
Firstly, constructing a rectangular coordinate system by taking time as a horizontal axis and temperature as a vertical axis, marking the rectangular coordinate system as a temperature coordinate system, then placing all temperature data into the temperature coordinate system, and acquiring the slope of the temperature data at each moment;
For the first At each moment, obtain the/>Amplitude of current data at each moment and maximum amplitude in the current data according to the/>Amplitude of current data at each moment, maximum amplitude in current data and the/>Slope of temperature data at each time point, and baseline of current data is obtained at the first/>The possibility of shifting each moment is shown as a specific calculation formula:
In the method, in the process of the invention, Baseline representing current data at/>The possibility of shifting from moment to moment; /(I)Represents the/>Slope of temperature data at each time instant; /(I)Represents the/>Amplitude of current data at each moment; /(I)Representing a maximum amplitude in the current data; Representing the normalization function.
Preferably, the LMD decomposition is performed on the current data to obtain a plurality of component signals, including the specific method that:
First, presetting an LDM decomposition layer number LMD decomposition of the current data yields/>Component signals, the first resulting component signal being denoted as first component signal, the second resulting component signal being denoted as second component signal, and so on, the/>The resulting component signal is denoted as/>A component quantity signal; each component signal corresponds to a pure frequency modulation signal and an envelope signal; for/>Component amount signal, will be/>The envelope signal in the component amounts is noted as/>Group envelope signal, will be/>The pure FM signal in the component amounts is denoted as/>And (5) acquiring all groups of envelope signals and pure frequency modulation signals by using the pure frequency modulation signals.
Preferably, the method for obtaining the first contribution factor of each component signal according to the envelope signal in each component signal includes the following specific steps:
For the first Component amount, first obtain the/>Slope at all times in the group envelope signal, according to the/>Slope at all times in the group envelope signal, obtain the/>The specific calculation formula of the first contribution factor of the component quantity signal is as follows:
In the method, in the process of the invention, Represents the/>A first contribution factor of the component quantity signal; /(I)Represents the/>Slope variance at all times in the group envelope signal; /(I)Represents the/>The number of instants in the group envelope signal; /(I)Represents the/>/>, In group envelope signalSlope at each time instant; /(I)Represents the/>Slope means at all times in the group envelope signal; /(I)Representing a sign taking function; /(I)Representing an absolute value operation.
Preferably, the obtaining the second contribution factor of each component signal according to the pure frequency modulation signal in each component signal includes the following specific steps:
For the first Component amount, first obtain the/>All maximum value points and minimum value points in the group-pure frequency modulation signal according to the/>The amplitude values and corresponding moments of all maximum value points and minimum value points in the group-purity frequency modulation signals are obtainedThe periodicity of the group pure frequency modulation signal is calculated by the following specific formula:
In the method, in the process of the invention, Represents the/>A second contribution factor of the component quantity signal; /(I)Represents the/>The number of maximum points in the group-pure frequency modulated signal; /(I)Represents the/>Group-pure FM signalAmplitude values of the maximum points; /(I)Represents the/>Group-pure FM signalThe time corresponding to each maximum value point; /(I)Represents the/>Group-pure FM signalAmplitude values of the maximum points; /(I)Represents the/>Group-pure FM signalThe time corresponding to each maximum value point; /(I)Represents the/>Group-pure FM signalAmplitude values of the maximum points; /(I)Represents the/>Group-pure FM signalThe time corresponding to each maximum value point; /(I)Represents the/>The number of minimum value points in the group-purity frequency modulation signal; /(I)Represents the/>Group-pure FM signalThe magnitude of each minimum point; /(I)Represents the/>Group-pure FM signalThe time corresponding to each minimum value point; /(I)Represents the/>Group-pure FM signalThe magnitude of each minimum point; /(I)Represents the/>Group-pure FM signalThe time corresponding to each minimum value point; /(I)Represents the/>Group-pure FM signalThe magnitude of each minimum point; /(I)Represents the/>Group-pure FM signalThe time corresponding to each minimum point.
Preferably, the method for obtaining the synthesis weight of each component signal according to the first contribution factor of each component signal, the second contribution factor of each component signal and each component signal includes the following specific steps:
For the first Component quantity signal, first obtain the/>First contribution factor and the/>, of component quantity signalA second contribution factor of the component quantity signal; then obtain the/>Group index of the group quantity signal; finally according to the/>First contribution factor, second/>, of component quantity signalSecond contribution factor of component amount signal, and second/>Group index of group quantity signal, obtain the/>The composite weights of the component amount signals.
Preferably, the acquiring a firstThe composition weight of the component quantity signal comprises the following specific calculation formula:
In the method, in the process of the invention, Represents the/>The composite weights of the component quantity signals; /(I)Representing the preset LDM decomposition layer number; /(I)Represents the/>Group index of the group quantity signal; /(I)Represents the/>A first contribution factor of the component quantity signal; /(I)Represents the/>A second contribution factor of the component quantity signal,/>Representing an absolute value operation; /(I)Representing a normalization function; /(I)Representing a preset hyper-parameter.
Preferably, the obtaining the baseline of the current data according to the possibility of the baseline of the current data being shifted at each moment and the composite weight of each component signal and combining the amplitude value in each component signal comprises the following specific methods:
For the first At each moment, a baseline of current data is firstly acquired at the/>Possibility of shifting each moment, synthetic weight of each component signal, and/>, in each component signalAmplitude at each moment;
Will be the first The synthesis weights of the component quantity signals and the/>Component amount signal of the first kind/>The product of the magnitudes at each time instant is denoted as the firstTime at first/>Characteristic value of component quantity signal, obtain the/>Characteristic values of all component signals at the moment; will/>The sum of the eigenvalues of all component signals at the moment is recorded as the/>A target value at a time; will/>The target value at time and the baseline of the current data are at the/>The product of the likelihood of shifting each moment is taken as the/>Baseline amplitude at each time instant; and acquiring the base line amplitude values at all moments to obtain the base line of the current data.
Preferably, the step of obtaining the current data from which the baseline is removed by passing the baseline of the current data includes the following specific steps:
And subtracting the baseline of the current data from the current data to obtain current data with the baseline removed.
Another embodiment of the present invention provides a fast arc suppression coil status detection system, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the steps of any one of the foregoing fast arc suppression coil status detection methods when executing the computer program.
The technical scheme of the invention has the beneficial effects that: firstly, acquiring the possibility of deviation of a baseline of current data at each moment by the amplitude values in the current data and the temperature data, and preparing data for the baseline of the current data acquired later; then carrying out LMD (least mean squares) decomposition on the current data to obtain a plurality of component signals, and acquiring a first contribution factor of the component signals according to envelope signals in the component signals; acquiring a second contribution factor of the component signal according to the pure frequency modulation signal in the component signal; the first contribution factor and the second contribution factor of the component signals represent the content of the base line component contained in the component signals, namely the synthesis weight of the component signals can be accurately obtained according to the first contribution factor and the second contribution factor of the component signals; and finally, the baseline-removed current data is obtained through the baseline of the current data, and the state of the arc suppression coil is detected according to the baseline-removed current data, so that the influence of the baseline in the arc suppression coil on the state of the detected arc suppression coil is finally avoided.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of steps of a method for rapidly detecting the state of an arc suppression coil according to the present invention;
fig. 2 is a flow chart of detecting the state of the cancellation loop according to the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following is a detailed description of specific implementation, structure, characteristics and effects of a method and a system for rapidly detecting the state of an arc suppression coil according to the invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The invention provides a method and a system for rapidly detecting the state of an arc suppression coil.
Referring to fig. 1, a flowchart of steps of a method for quickly detecting a state of an arc suppression coil according to an embodiment of the invention is shown, and the method includes the following steps:
Step S001: current data and temperature data are collected.
It should be noted that, in this embodiment, as a method for quickly detecting the state of the arc suppression coil, the current data in the arc suppression coil is measured, and the current data in the arc suppression coil is analyzed to achieve the purpose of detecting the state of the arc suppression coil, so that the current data in the arc suppression coil needs to be measured first.
Specifically, by installing a current sensor at the input of the arc suppression coil, collecting input current data of the arc suppression coil at each moment after the arc suppression coil starts to be used; and a temperature sensor is arranged on the surface of the arc suppression coil, temperature data of the arc suppression coil at each moment after the arc suppression coil starts to be used are collected, and the sampling time is set to be 1 second.
Thus, current data and temperature data are obtained.
Step S002: and acquiring the possibility that the baseline of the current data is deviated at each moment according to the amplitude values in the current data and the temperature data.
It should be noted that, because the arc suppression coil converts the return electric energy into heat energy in the working process, the temperature of the arc suppression coil rises, and the temperature change of the arc suppression coil can cause the baseline of the current data to deviate, so that the acquired current data is inaccurate, and further the state of the arc suppression coil cannot be accurately detected, so that the baseline deviation of the current data needs to be eliminated. However, when the baseline deviation of the current data is eliminated by using the traditional LMD decomposition, because the degrees of the current data represented by different PF components are different, part of detail characteristics of the current data can be lost, and the traditional arc-eliminating ring state detection precision is low; therefore, the embodiment provides a rapid arc suppression coil state detection method.
It should be further explained that, because the arc suppression coil just begins to work, can convert electric energy into heat energy, and the early stage of the process of converting electric energy into heat energy can lead to the temperature of arc suppression coil to rise fast, and then make the baseline of the electric current data that gathers take place the skew, but along with the continuous work of arc suppression coil, the temperature of arc suppression coil tends to be stable for the baseline of the electric current data that gathers subsequently returns steadily, so can take this as the possibility that the baseline of acquisition electric current data takes place the skew at every moment according to this.
Specifically, firstly, constructing a rectangular coordinate system by taking time as a horizontal axis and temperature as a vertical axis, marking the rectangular coordinate system as a temperature coordinate system, then, placing all temperature data into the temperature coordinate system, and acquiring the slope of the temperature data at each time, wherein the slope of the temperature data at the first time is set as the slope of the temperature data at the second time;
For the first At each moment, obtain the/>Amplitude of current data at each moment and maximum amplitude in the current data according to the/>Amplitude of current data at each moment, maximum amplitude in current data and the/>Slope of temperature data at each time point, and baseline of current data is obtained at the first/>The possibility of shifting each moment is shown as a specific calculation formula:
In the method, in the process of the invention, Baseline representing current data at/>The possibility of shifting from moment to moment; /(I)Represents the/>Slope of temperature data at each time instant; /(I)Represents the/>Amplitude of current data at each moment; /(I)Representing a maximum amplitude in the current data; Representing a normalization function; normalized object is/>, at all times 。
It should be noted that the number of the substrates,Expressed as (I /)Slope of temperature data at each time instant, thus/>The larger the value of (2) is, the more so it is described in the/>The temperature change of the arc suppression coil is more severe at each moment, so/>The larger the value of (2), the baseline of the current data is at the/>The more likely the shift will occur at each instant; /(I)Expressed as (I /)The ratio of the amplitude of the current data at each instant to the maximum amplitude in the current data, thus/>The larger the value of (2) is, the more the baseline of the current data is at the/>The more abnormal the amplitude at each instant, i.e. the baseline of the current data is at the/>The more likely the shift will occur at each instant; thus/>The larger the value of (2), the baseline of the current data is at the/>The more likely the time is that the shift will occur.
To this end, the possibility that the baseline of the current data is shifted at each time is obtained.
Step S003: carrying out LMD decomposition on the current data to obtain a plurality of component signals; acquiring a first contribution factor of each component signal according to an envelope signal in each component signal; acquiring a second contribution factor of each component signal according to the pure frequency modulation signal in each component signal; and obtaining the synthesis weight of each component signal according to the first contribution factor of each component signal, the second contribution factor of each component signal and each component signal.
It should be noted that, since the present embodiment is used as a fast detection method for the state of the arc suppression coil, the purpose of the present embodiment is to detect the state of the arc suppression coil; in order to accurately detect the state of the arc suppression coil, the baseline offset of the current data in the arc suppression coil needs to be eliminated, namely, a plurality of component signals are obtained through LMD decomposition, and the baseline offset of the current data in the arc suppression coil is eliminated through analysis of the component signals.
Specifically, firstly, presetting an LDM decomposition layer number，/>The specific value of (2) can be set by combining with the actual situation, the embodiment in the market does not have hard requirement, in the embodiment, the specific value is expressed as/>Describing, LMD decomposition of the current data to obtain/>Component signals, the first resulting component signal being denoted as first component signal, the second resulting component signal being denoted as second component signal, and so on, the/>The resulting component signal is denoted as/>A component quantity signal; each component signal corresponds to a pure frequency modulation signal and an envelope signal; for/>Component amount signal, will be/>The envelope signal in the component amounts is noted as the firstGroup envelope signal, will be/>The pure FM signal in the component amounts is denoted as/>Assembling pure frequency modulation signals; since LMD decomposition is a well-known prior art, a detailed description is omitted in this embodiment.
It should be further noted that, the envelope signal obtained by LMD decomposition reflects a low-frequency component in the current data, so that the envelope signal can reflect a trend in the current data; when the arc suppression coil fails, the current data in the arc suppression coil gradually decreases along with the weakening of the arc current by the coil, so that the trend of the envelope signal in the component signals is more uniform and lower, and the first contribution factor of each component signal can be obtained through the uniform descending characteristic of the envelope signal in each component signal.
Specifically, for the firstComponent amount, first obtain the/>Slope at all times in the envelope signal, wherein the slope at the first time in the envelope signal is set to the slope at the second time, according to the/>Slope at all times in the group envelope signal, obtain the/>The specific calculation formula of the first contribution factor of the component quantity signal is as follows:
In the method, in the process of the invention, Represents the/>A first contribution factor of the component quantity signal; /(I)Represents the/>Slope variance at all times in the group envelope signal; /(I)Represents the/>The number of instants in the group envelope signal; /(I)Represents the/>/>, In group envelope signalSlope at each time instant; /(I)Represents the/>Slope means at all times in the group envelope signal; /(I)Representing a sign taking function, wherein the output value of the function is 1, -1 and 0; /(I)Representing an absolute value operation.
It should be noted that the number of the substrates,Middle/>Expressed as (I /)Slope variance at all times in the group envelope signal, thus/>The smaller the value is the first/>The more stationary the trend of the group envelope signal,/>Expressed as (I /)Slope mean at all times in group envelope signal,/>The purpose of this penalty term is to avoid the cause of/>When the group envelope signal does not have a rising or falling trend, the influence on the stability degree of the envelope signal is generated; /(I)Expressed as (I /)The overall trend of the group envelope signal is rising or falling, so/>The larger the value of (2) is, the description of (1) >The overall trend of the group envelope signal is declining; thus/>The larger the value of (5) >The more uniformly dropped the group envelope signal is characterized, and when/>The more the group envelope signal is characterized by a uniform drop, the/>The more baseline components are included in the component amount signal, and therefore the/>, can be determinedThe more the group envelope signal has a uniformly decreasing character as the/>A baseline component content contained in the component quantity signal; the first contribution factor of the component signal is indicative of the baseline component content contained in the component signal.
It should be further noted that the pure frequency modulation signal obtained by LMD decomposition reflects a high frequency component in the current data, and the pure frequency modulation signal in each component signal may reflect the periodicity of the current data; and because the current data in the arc suppression coil is an alternating current and is a periodic signal, the second contribution factor of each component signal can be obtained through the periodicity of the pure frequency modulation signal in each component signal.
Specifically, for the firstComponent amount, first obtain the/>All maximum value points and minimum value points in the group-pure frequency modulation signal according to the/>The amplitude values and corresponding moments of all maximum value points and minimum value points in the group-purity frequency modulation signals are obtainedThe periodicity of the group pure frequency modulation signal is calculated by the following specific formula:
In the method, in the process of the invention, Represents the/>A second contribution factor of the component quantity signal; /(I)Represents the/>The number of maximum points in the group-pure frequency modulated signal; /(I)Represents the/>Group-pure FM signalAmplitude values of the maximum points; /(I)Represents the/>Group-pure FM signalThe time corresponding to each maximum value point; /(I)Represents the/>Group-pure FM signalAmplitude values of the maximum points; /(I)Represents the/>Group-pure FM signalThe time corresponding to each maximum value point; /(I)Represents the/>Group-pure FM signalAmplitude values of the maximum points; /(I)Represents the/>Group-pure FM signalThe time corresponding to each maximum value point; /(I)Represents the/>The number of minimum value points in the group-purity frequency modulation signal; /(I)Represents the/>Group-pure FM signalThe magnitude of each minimum point; /(I)Represents the/>Group-pure FM signalThe time corresponding to each minimum value point; /(I)Represents the/>Group-pure FM signalThe magnitude of each minimum point; /(I)Represents the/>Group-pure FM signalThe time corresponding to each minimum value point; /(I)Represents the/>Group-pure FM signalThe magnitude of each minimum point; /(I)Represents the/>Group-pure FM signalThe time corresponding to each minimum point.
It should be noted that the number of the substrates,Is through the/>The/>, obtained by combining maximum points in the pure frequency modulated signalPeriodicity of group-pure FM signals,/>The closer the value of (2) is to 1, the more/>The more periodic the group of pure frequency modulated signals; /(I)Is through the/>First/>, obtained by combining minimum value points in pure frequency-modulated signalsPeriodicity of the group-pure frequency modulated signal; /(I)The closer the value of (2) is to 1, the more/>The more periodic the group of pure frequency modulated signals; thus/>The closer the value of (2) is to 1, the more/>The more periodic the group of pure frequency modulated signals; and/>The more periodic the group-pure frequency modulated signal, the more/>The more baseline component is included in the component amount signal; thus can/>Periodicity of group-pure FM signals as the/>A baseline component content contained in the component quantity signal; the second contribution factor of the component signal represents the content of the baseline component contained in the component signal, and the closer the second contribution factor of the component signal is to 1, the more the baseline component is contained in the component signal.
It should be further noted that, after the first contribution factor of each component signal and the second contribution factor of each component signal are obtained, the composite weight of each component signal may be obtained according to the first contribution factor of each component signal and the second contribution factor of each component signal, in combination with the group index of each component signal.
Specifically, for the firstComponent quantity signal, first obtain the/>First contribution factor and the/>, of component quantity signalA second contribution factor of the component quantity signal; then obtain the/>Group index of the group quantity signal; finally according to the/>First contribution factor, second/>, of component quantity signalSecond contribution factor of component amount signal, and second/>Group index of group quantity signal, obtain the/>The specific calculation formula of the composite weight of the component quantity signals is as follows:
In the method, in the process of the invention, Represents the/>The composite weights of the component quantity signals; /(I)Representing the preset LDM decomposition layer number; /(I)Represents the/>Group index of the group quantity signal; /(I)Represents the/>A first contribution factor of the component quantity signal; /(I)Represents the/>A second contribution factor of the component quantity signal,/>Representing an absolute value operation; /(I)Representing a normalizing function, the normalizing object being all component signals；/>Representing preset hyper-parameters,/>Is not hard, in this embodiment, byThe purpose of this description is to avoid the occurrence of zero denominator during the operation of the partial formula.
Since the baseline component contained in the component signal obtained earlier is smaller in the LMD decomposition process, the firstThe smaller the group index of the group amount signal, the/>The less the baseline component is included in the component amount signal; and/>The larger the value of (5) >The more baseline component is included in the component amount signal; /(I)The closer the value of (2) is to 1, the more/>The more baseline component is included in the component amount signal; thus/>The larger the value of (5) >The more baseline components are included in the component amount signal, the more/>, the more the baseline is re-acquiredThe greater the composite weight of the component amount signal.
Thus, the synthesized weight of each component signal is obtained.
Step S004: acquiring a baseline of the current data according to the possibility of the baseline of the current data to deviate at each moment and the synthetic weight of each component signal and combining the amplitude value in each component signal; and obtaining current data with the base line removed through the base line of the current data, and detecting the state of the arc suppression coil according to the current data with the base line removed.
After the possibility that the baseline of the current data deviates at each time and the composite weight of each component signal are obtained through step S002 and step S003, the baseline of the current data can be obtained by combining the amplitude value in each component signal according to the possibility that the baseline of the current data deviates at each time and the composite weight of each component signal.
Specifically, for the firstAt each moment, a baseline of current data is firstly acquired at the/>Possibility of shifting each moment, synthetic weight of each component signal, and/>, in each component signalAmplitude at each moment; based on baseline of current data at/>Possibility of shifting each moment, synthetic weight of each component signal, and/>, in each component signalAmplitude at each moment, obtain the/>The specific calculation formula of the baseline amplitude at each time point is as follows:
In the method, in the process of the invention, Represents the/>Baseline amplitude at each time instant; /(I)Baseline representing current data at/>The possibility of shifting from moment to moment; /(I)Representing the preset LDM decomposition layer number; /(I)Represents the/>The composite weights of the component quantity signals; /(I)Represents the/>Component amount signal of the first kind/>Amplitude at each moment;
and acquiring the base line amplitude values at all moments to obtain the base line of the current data.
It should be noted that, this embodiment is used as a fast detection method for the state of the arc suppression coil, and is aimed at avoiding the influence of the baseline in the arc suppression coil on the state of the arc suppression coil by removing the baseline in the arc suppression coil.
Specifically, subtracting the current data from a baseline of the current data to obtain current data with the baseline removed, and capturing transient characteristics of the current data with the baseline removed by utilizing wavelet transformation to further realize rapid detection of the state of the arc suppression coil; since wavelet transform is a well-known prior art, a detailed description is omitted in this embodiment.
Another embodiment of the present invention provides a fast arc suppression coil status detection system, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements a fast arc suppression coil status detection method from step S001 to step S004 when executing the computer program.
The present embodiment is a flowchart for detecting the state of the arc ring, as shown in fig. 2.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The rapid detection method for the state of the arc suppression coil is characterized by comprising the following steps of:
Collecting current data and temperature data;
acquiring the possibility of deviation of a baseline of the current data at each moment according to the amplitude values in the current data and the temperature data;
carrying out LMD decomposition on the current data to obtain a plurality of component signals; acquiring a first contribution factor of each component signal according to an envelope signal in each component signal; acquiring a second contribution factor of each component signal according to the pure frequency modulation signal in each component signal; acquiring the synthesis weight of each component signal according to the first contribution factor of each component signal, the second contribution factor of each component signal and each component signal;
Acquiring a baseline of the current data according to the possibility of the baseline of the current data to deviate at each moment and the synthetic weight of each component signal and combining the amplitude value in each component signal; and obtaining current data with the base line removed through the base line of the current data, and detecting the state of the arc suppression coil according to the current data with the base line removed.
2. The method for rapidly detecting the state of an arc suppression coil according to claim 1, wherein the step of obtaining the possibility of deviation of a baseline of current data at each moment according to the magnitudes of the current data and the temperature data comprises the following specific steps:
Firstly, constructing a rectangular coordinate system by taking time as a horizontal axis and temperature as a vertical axis, marking the rectangular coordinate system as a temperature coordinate system, then placing all temperature data into the temperature coordinate system, and acquiring the slope of the temperature data at each moment;
For the first At each moment, obtain the/>Amplitude of current data at each moment and maximum amplitude in the current data according to the/>Amplitude of current data at each moment, maximum amplitude in current data and the/>Slope of temperature data at each time point, and baseline of current data is obtained at the first/>The possibility of shifting each moment is shown as a specific calculation formula:
In the method, in the process of the invention, Baseline representing current data at/>The possibility of shifting from moment to moment; /(I)Represents the/>Slope of temperature data at each time instant; /(I)Represents the/>Amplitude of current data at each moment; /(I)Representing a maximum amplitude in the current data; Representing the normalization function.
3. The rapid detection method of arc suppression coil state according to claim 1, wherein the LMD decomposition of the current data is performed to obtain a plurality of component signals, comprising the following specific steps:
First, presetting an LDM decomposition layer number LMD decomposition of the current data yields/>Component signals, the first resulting component signal being denoted as first component signal, the second resulting component signal being denoted as second component signal, and so on, the/>The resulting component signal is denoted as/>A component quantity signal; each component signal corresponds to a pure frequency modulation signal and an envelope signal; for/>Component amount signal, will be/>The envelope signal in the component amounts is noted as/>Group envelope signal, will be/>The pure FM signal in the component amounts is denoted as/>And (5) acquiring all groups of envelope signals and pure frequency modulation signals by using the pure frequency modulation signals.
4. The method for rapidly detecting the state of an arc suppression coil according to claim 3, wherein the method for obtaining the first contribution factor of each component signal according to the envelope signal in each component signal comprises the following specific steps:
For the first Component amount, first obtain the/>Slope at all times in the group envelope signal, according to the/>Slope at all times in the group envelope signal, obtain the/>The specific calculation formula of the first contribution factor of the component quantity signal is as follows:
In the method, in the process of the invention, Represents the/>A first contribution factor of the component quantity signal; /(I)Represents the/>Slope variance at all times in the group envelope signal; /(I)Represents the/>The number of instants in the group envelope signal; /(I)Represents the/>/>, In group envelope signalSlope at each time instant; Represents the/> Slope means at all times in the group envelope signal; /(I)Representing a sign taking function; /(I)Representing an absolute value operation.
5. The method for rapidly detecting the state of an arc suppression coil according to claim 3, wherein the step of obtaining the second contribution factor of each component signal according to the pure frequency modulation signal in each component signal comprises the following specific steps:
For the first Component amount, first obtain the/>All maximum value points and minimum value points in the group-pure frequency modulation signal according to the/>The amplitude values and corresponding moments of all maximum value points and minimum value points in the group-purity frequency modulation signals are obtainedThe periodicity of the group pure frequency modulation signal is calculated by the following specific formula:
In the method, in the process of the invention, Represents the/>A second contribution factor of the component quantity signal; /(I)Represents the/>The number of maximum points in the group-pure frequency modulated signal; /(I)Represents the/>Group-pure FM signalAmplitude values of the maximum points; /(I)Represents the/>Group-pure FM signalThe time corresponding to each maximum value point; /(I)Represents the/>Group-pure FM signalAmplitude values of the maximum points; /(I)Represents the/>Group-pure FM signalThe time corresponding to each maximum value point; /(I)Represents the/>Group-pure FM signalAmplitude values of the maximum points; /(I)Represents the/>Group-pure FM signalThe time corresponding to each maximum value point; /(I)Represents the/>The number of minimum value points in the group-purity frequency modulation signal; /(I)Represents the/>Group-pure FM signalThe magnitude of each minimum point; Represents the/> Group-pure FM signalThe time corresponding to each minimum value point; /(I)Represents the/>Group-pure FM signalThe magnitude of each minimum point; /(I)Represents the/>Group-pure FM signalThe time corresponding to each minimum value point; /(I)Represents the/>Group-pure FM signalThe magnitude of each minimum point; /(I)Represents the/>Group-pure FM signalThe time corresponding to each minimum point.
6. The rapid detection method for arc suppression coil status according to claim 3, wherein the obtaining the synthesis weight of each component signal according to the first contribution factor of each component signal, the second contribution factor of each component signal and each component signal comprises the following specific steps:
For the first Component quantity signal, first obtain the/>First contribution factor and the/>, of component quantity signalA second contribution factor of the component quantity signal; then obtain the/>Group index of the group quantity signal; finally according to the/>First contribution factor, second/>, of component quantity signalSecond contribution factor of component amount signal, and second/>Group index of group quantity signal, obtain the/>The composite weights of the component amount signals.
7. The rapid detection method of arc suppression coil state according to claim 6, wherein the obtaining step comprisesThe composition weight of the component quantity signal comprises the following specific calculation formula:
In the method, in the process of the invention, Represents the/>The composite weights of the component quantity signals; /(I)Representing the preset LDM decomposition layer number; /(I)Represents the/>Group index of the group quantity signal; /(I)Represents the/>A first contribution factor of the component quantity signal; /(I)Represents the/>A second contribution factor of the component quantity signal,/>Representing an absolute value operation; /(I)Representing a normalization function; /(I)Representing a preset hyper-parameter.
8. The method for rapidly detecting the state of an arc suppression coil according to claim 1, wherein the method for obtaining the baseline of the current data by combining the magnitude of each component signal according to the possibility of the baseline of the current data to deviate at each moment and the composite weight of each component signal comprises the following specific steps:
For the first At each moment, a baseline of current data is firstly acquired at the/>Possibility of shifting each moment, synthetic weight of each component signal, and/>, in each component signalAmplitude at each moment;
Will be the first The synthesis weights of the component quantity signals and the/>Component amount signal of the first kind/>The product of the magnitudes at each time instant is denoted as the/>Time at first/>Characteristic value of component quantity signal, obtain the/>Characteristic values of all component signals at the moment; will/>The sum of the eigenvalues of all component signals at the moment is recorded as the/>A target value at a time; will/>The target value at time and the baseline of the current data are at the/>The product of the likelihood of shifting each moment is taken as the/>Baseline amplitude at each time instant; and acquiring the base line amplitude values at all moments to obtain the base line of the current data.
9. The method for rapidly detecting the state of the arc suppression coil according to claim 1, wherein the step of obtaining the current data from which the baseline is removed by passing the baseline of the current data comprises the following specific steps:
And subtracting the baseline of the current data from the current data to obtain current data with the baseline removed.
10. A rapid arc suppression coil condition detection system comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the computer program when executed by the processor performs the steps of a rapid arc suppression coil condition detection method as claimed in any one of claims 1 to 9.
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