CN109932053B - State monitoring device and method for high-voltage shunt reactor - Google Patents
State monitoring device and method for high-voltage shunt reactor Download PDFInfo
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Abstract
The invention discloses a state monitoring device and method for a high-voltage shunt reactor, which comprises a vibration signal acquisition unit and a signal processing unit which are connected; the vibration signal acquisition unit is arranged on the high-voltage parallel reactor, acquires vibration signals on the surface of the high-voltage parallel reactor and sends the vibration signals to the signal processing unit; and the signal processing unit performs time-frequency analysis on the received vibration signal to obtain a corresponding characteristic value, and then performs state evaluation on the high-voltage shunt reactor based on the characteristic value to obtain a state evaluation result, thereby completing state monitoring on the high-voltage shunt reactor. Experiments prove that the method can accurately detect the defects of the reactor such as the loosening of the winding and the iron core and the like, and provides various time-frequency analysis and state evaluation methods, so that the method can be comprehensively compared and analyzed, and has higher reliability.
Description
Technical Field
The invention belongs to the technical field of on-line monitoring of high-voltage electrical equipment, and particularly relates to a state monitoring device and method for a high-voltage shunt reactor.
Background
In order to enhance reactive compensation and reactive balance in a power system, inhibit overvoltage of the system, improve power quality and power supply reliability, the high-voltage shunt reactor is widely used. The main magnetic circuit of the iron core of the high-voltage shunt reactor is generally designed into a structure with gaps, and after the high-voltage shunt reactor is put into operation, the high-voltage shunt reactor runs under full load for a long time, magnetic leakage is large, mechanical vibration is more serious than that of a transformer, long-term operation easily causes loosening of components such as coils, iron cores (clamping pieces), bolt fasteners and the like, vibration is further aggravated, and defects such as overheating and discharging in equipment can be caused in serious conditions, so that the high-voltage shunt reactor is one of important fault reasons of the reactor. The mechanical vibration defect of the reactor is always a latent hidden trouble and is difficult to accurately diagnose through the commonly used electrical characteristic parameters. In the prior art, a detection means of a high-voltage shunt reactor mainly adopts an oil chromatography analysis or partial discharge detection method, in recent years, the phenomenon that the chromatography exceeds standard due to discharge caused by loosening of components in the reactor occurs, and the oil chromatography or partial discharge detection method is difficult to sensitively, accurately and early detect mechanical defects such as loosening of coils, iron cores or fasteners and the like, so that an effective reactor mechanical defect detection method needs to be researched and applied to engineering practice.
Disclosure of Invention
In order to solve the problems, the invention provides a state monitoring device and method for a high-voltage parallel reactor, which can accurately detect the defects of loosening of a reactor winding and an iron core and the like.
In order to achieve the technical purpose and achieve the technical effects, the invention is realized by the following technical scheme:
in a first aspect, the invention provides a state monitoring device for a high-voltage shunt reactor, which comprises a vibration signal acquisition unit and a signal processing unit which are connected with each other;
the vibration signal acquisition unit is arranged on the high-voltage parallel reactor, acquires vibration signals on the surface of the high-voltage parallel reactor and sends the vibration signals to the signal processing unit;
and the time-frequency analysis module in the signal processing unit performs time-frequency analysis on the received vibration signal by adopting a proper time-frequency analysis method to obtain a corresponding characteristic value, and then the state evaluation module in the signal processing unit performs state evaluation on the high-voltage shunt reactor based on the characteristic value and the proper state evaluation method to obtain a state evaluation result and complete state monitoring on the high-voltage shunt reactor.
Preferably, the vibration signal acquisition unit comprises a vibration signal sensor and a signal acquisition card;
the vibration signal sensor is arranged on the outer surface or the inner surface of the high-voltage shunt reactor, and the output end of the vibration signal sensor is connected with the input end of the signal acquisition card;
and the output end of the signal acquisition card is connected with the input end of the signal processing unit.
Preferably, the time-frequency analysis module processes the received vibration signal by using fourier transform to obtain a frequency spectrum of the vibration signal, a calculation formula of the frequency spectrum is shown as formula (1),
wherein, x (k) is the Fourier transform of the input signal, x (N) is the input time domain discrete vibration signal, and N is the total number of sampling points of the vibration signal;
the state evaluation module obtains a state characteristic value A of the high-voltage shunt reactor according to a formula (2) by adopting a threshold value method1And comparing with the normal state characteristic value to obtain a state evaluation result,
or using a neural network method to obtain the state characteristic value A of the signal according to the formula (3)2The high-voltage shunt reactor is used as input to carry out state evaluation to obtain a state evaluation result,
A2(k)＝X(50k),k＝{1,2,3,...20} (3)。
preferably, the time-frequency analysis module processes the received vibration signal by using wavelet transform to obtain a coefficient of wavelet decomposition of the vibration signal, and a calculation formula of the coefficient of wavelet decomposition of the vibration signal is shown in formula (4):
WT(n)＝C*x(n),n＝{0,1,2...N-1} (4)
wherein wt (n) is a wavelet decomposition coefficient, x (n) is an input time domain discrete vibration signal, C is a transformation matrix, and the specific expression is as follows:
wherein, the blank position is 0,
the state evaluation module obtains a state characteristic value A of the signal according to a formula (5) based on the wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module3Compared with the characteristic value of the normal state, thereby realizing the state evaluation of the high-voltage shunt reactor,
or obtaining the state characteristics of the signals by adopting a neural network method based on the wavelet decomposition coefficients of the vibration signals output by the time-frequency analysis module according to a formula (6)Value A4The state evaluation of the high-voltage shunt reactor is carried out as an input pair of the neural network,
A4(n)＝{maxCA(1),maxCA(2),...,maxCA(8)} (6)
where CA (k) is the coefficient of each layer of decomposition of the wavelet transform.
Preferably, the state monitoring device for the high-voltage shunt reactor further comprises a display unit and an input unit;
the data transmission end of the display unit is connected with the data transmission end of the signal processing unit and is used for displaying the state evaluation result of the high-voltage shunt reactor;
and the output end of the input unit is connected with the input end of the signal processing unit and is used for setting parameters.
Preferably, the signal processing unit further comprises a secure login module; and inputting an instruction by using an input unit, and when the input instruction is the same as a preset instruction value stored in the safety login module, outputting a signal to a display unit by using a signal processing unit to display a state evaluation result.
In a second aspect, the present invention provides a condition monitoring method for a high-voltage shunt reactor, comprising:
acquiring a vibration signal on the surface of a high-voltage shunt reactor;
and performing time-frequency analysis on the received vibration signals by adopting a proper time-frequency analysis method to obtain corresponding characteristic values, and then performing state evaluation on the high-voltage shunt reactor based on the characteristic values and a proper state evaluation method to obtain a state evaluation result so as to complete state monitoring on the high-voltage shunt reactor.
Preferably, the time-frequency analysis is performed on the received vibration signal by using a suitable time-frequency analysis method to obtain a corresponding characteristic value, and then the state evaluation of the high-voltage shunt reactor is performed based on the characteristic value and a suitable state evaluation method to obtain a state evaluation result, specifically including the following steps:
processing the received vibration signal by adopting Fourier transform to obtain a frequency spectrum of the vibration signal, wherein a calculation formula of the frequency spectrum is shown as a formula (1):
wherein x (N) is an input time domain discrete vibration signal, N is the total sampling point number of the vibration signal, and X (k) is the Fourier transform of the input signal;
the state evaluation module obtains a state characteristic value A of the signal by adopting a threshold value method according to a formula (2) and according to the frequency spectrum of the vibration signal output by the time frequency analysis module1And the state of the high-voltage shunt reactor is evaluated to obtain a state evaluation result,
or obtaining the state characteristic value A of the signal according to the formula (3) by adopting a neural network method2The state evaluation of the high-voltage shunt reactor is realized as an input,
A2(k)＝X(50k),k＝{1,2,3,...20} (3)。
preferably, the time-frequency analysis is performed on the received vibration signal by using a suitable time-frequency analysis method to obtain a corresponding characteristic value, and then the state evaluation of the high-voltage shunt reactor is performed based on the characteristic value and a suitable state evaluation method to obtain a state evaluation result, specifically including the following steps:
processing the received vibration signal by adopting wavelet transformation to obtain a wavelet decomposition coefficient of the vibration signal, wherein a calculation formula of the wavelet decomposition coefficient of the vibration signal is shown as a formula (4):
WT(n)＝C*x(n),n＝{0,1,2...N-1} (4)
wherein WT (n) is a wavelet decomposition coefficient, C is a transformation matrix, and the specific expression is as follows:
wherein, the blank position is 0,
obtaining a characteristic value A of the signal according to a formula (5) based on a wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module3Comparing with normal state to evaluate the state of the high-voltage shunt reactor,
or obtaining the state characteristic value A of the signal by adopting a neural network method based on the wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module according to a formula (6)4The state evaluation of the high-voltage shunt reactor is carried out as an input pair of the neural network,
A4(n)＝{maxCA(1),maxCA(2),...,maxCA(8)} (6)。
preferably, the state monitoring method for the high-voltage shunt reactor further comprises: and displaying the obtained state evaluation.
Compared with the prior art, the invention has the beneficial effects that:
1) experiments prove that the method can accurately detect the defects of the reactor such as the loosening of the winding and the iron core and the like, and provides various time-frequency analysis and state evaluation methods, so that the method can be comprehensively compared and analyzed, and has higher reliability.
2) The invention is portable and easy to carry, has a good man-machine interaction interface and easy to operate, simultaneously has a plurality of functions of data storage, off-line analysis and the like, and is provided with the safe login module, thereby realizing the avoidance of misoperation of non-professionals, and having the advantages of science and reasonability, good practical effect, high accuracy and the like.
Drawings
Fig. 1 is a structural view of a condition monitoring device for a high-voltage shunt reactor;
FIG. 2 is a flow chart of a condition monitoring method for a high voltage shunt reactor;
fig. 3 is a line graph of characteristic values of the reactor in different states.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the scope of the invention.
The following detailed description of the principles of the invention is provided in connection with the accompanying drawings.
Example 1
As shown in fig. 1-2, an embodiment of the present invention provides a state monitoring device for a high-voltage shunt reactor, including a vibration signal acquisition unit and a signal processing unit 3 connected to each other;
the vibration signal acquisition unit is arranged on the high-voltage parallel reactor, acquires vibration signals on the surface of the high-voltage parallel reactor and sends the vibration signals to the signal processing unit 3; in a preferred embodiment mode of the embodiment of the present invention, the vibration signal acquisition unit includes a vibration signal sensor 1 and a signal acquisition card 2, the vibration signal sensor 1 is disposed on an outer surface or an inner surface of the high-voltage shunt reactor, the number of the vibration signal sensors may be one or more, and an output end of the vibration signal sensor 1 is connected to an input end of the signal acquisition card 2; the output end of the signal acquisition card 2 is connected with the input end of the signal processing unit 3; in the practical application process, the vibration signal sensor 1 can adopt a piezoelectric acceleration sensor with the model number of CTC AC102-1A, the signal acquisition card 2 can adopt a signal acquisition card 2 with the model number of MPS140801, the sampling rate of the signal acquisition card 2 is adjustable from 1K to 128K, the sampling number of each time is adjustable from 1024-minus 65536, and the data is 24 bits;
the time-frequency analysis module in the signal processing unit 3 performs time-frequency analysis on the received vibration signal by adopting a proper time-frequency analysis method to obtain a corresponding characteristic value, and then the state evaluation module in the signal processing unit 3 performs state evaluation on the high-voltage shunt reactor based on the characteristic value and the proper state evaluation method to obtain a state evaluation result so as to complete monitoring on the high-voltage shunt reactorMeasuring; in a preferred implementation manner of the embodiment of the present invention, the signal processing unit 3 is formed by an UP Board card, and the Board card is mounted with the UP Board card
Atom(s)TMThe X5-Z8350 processor (code number Cherry Trail) is provided with 4GB DDR3L RAM and 64GB eMMC, and has the characteristics of small volume, high performance and the like.
The time frequency analysis module processes the received vibration signal by adopting Fourier transform to obtain the frequency spectrum of the vibration signal, and the specific processing process is as follows:
let x (N) be the input discrete vibration signal, N be the number of sampling points, and X (k) be the result of x (N) Fourier transform;
the state evaluation module obtains a state characteristic value A of the high-voltage shunt reactor according to a formula (2)1Comparing with the normal state characteristic value to obtain a state evaluation result,
or, obtaining the state characteristic value A of the signal according to the formula (3) by adopting a neural network method2The state evaluation of the high-voltage shunt reactor is realized by taking the input voltage as input; in specific implementation, the neural network method may select a BP neural network for data processing, when the output of the BP neural network is 0, it indicates that the high-voltage shunt reactor is in a normal state, and when the output of the BP neural network is 1, it indicates that the high-voltage shunt reactor is in an abnormal state,
A2(k)＝X(50k),k＝{1,2,3,...20} (3)
further, the state monitoring device for the high-voltage shunt reactor further comprises a display unit 4, wherein a data transmission end of the display unit 4 is connected with a data transmission end of the signal processing unit 3 and is used for displaying a state evaluation result of the high-voltage shunt reactor; in addition, the display unit 4 can also perform storage related setting, and can set a single storage duration, interval time, storage position and storage channel, default is to continuously store data in the next hour, data of one second and frequency spectrum thereof are selected to be permanently stored every other hour, the number of the storage channels is 5, the storage format is Bin, the file name is composed of identifier + time + sampling rate, the historical data identifier is T, the frequency spectrum is F, the recent data identifier is D, the storage position is a memory of the UP Board card, the data size of decades can be continuously stored according to the default setting, and the capacity can be expanded through an external memory; furthermore, the signal processing unit 3 further comprises a secure login module; and the display unit 4 is used for inputting an instruction, when the input instruction is the same as a preset instruction value stored in the safety login module, the signal processing unit 3 outputs a signal to the display unit 4 to display a state evaluation result, and the safety performance of the system is greatly improved.
Further, the state monitoring device for the high-voltage shunt reactor further comprises an input unit 5, wherein an output end of the input unit 5 is connected with an input end of the signal processing unit 3 and is used for setting parameters; in a specific implementation manner of the embodiment of the present invention, the input unit 5 is a keyboard, a mouse, or other peripheral devices.
Example 2
The embodiment of the present invention is different from embodiment 1 in that:
the time-frequency analysis module processes the received vibration signals by adopting wavelet transformation, defaults to 8-layer decomposition, and obtains wavelet decomposition coefficients of the vibration signals; the method specifically comprises the following steps:
the wavelet transform formula is:
where ψ (t) is the wavelet basis function, a is the scaling factor, and τ is the translation factor. When a db4 wavelet is used for discrete wavelet transform, the calculation formula of the coefficients of the wavelet decomposition of the vibration signal is shown in formula (4):
WT(n)＝C*x(n),n＝{0,1,2...N-1} (4)
wherein C is a transformation matrix, and the specific expression is as follows:
wherein the blank position is 0, and the blank position is 0,
the state evaluation module obtains a state characteristic value A of the signal according to a formula (6) based on the wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module3Comparing the characteristic value with the normal state characteristic value so as to evaluate the state of the high-voltage shunt reactor;
or obtaining the state characteristic value A of the signal according to the wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module by adopting a neural network method and a formula (7)4And performing state evaluation of the high-voltage shunt reactor as an input pair of the neural network, wherein the neural network needs to be trained in advance, and the trained network model is stored in a dll format so as to be called in decision making.
A4(n)＝{maxCA(1),maxCA(2),...,maxCA(8)} (7)
Wherein, wt (n) is the decomposition coefficient obtained by wavelet transform, including the approximation coefficient and the detail coefficient, and ca (k) is the decomposition coefficient obtained for each layer.
The threshold value method is characterized in that the fault is more serious when the ratio is larger according to the input characteristic value compared with the normal state, when the multiple measurements continuously exceed a certain value, the device sends out an alarm signal, and the default ratio coefficient is 1.5.
Example 3
Based on the same inventive concept as embodiment 1, an embodiment of the present invention provides a state monitoring method for a high-voltage shunt reactor, including:
acquiring a vibration signal on the surface of a high-voltage shunt reactor;
and performing time-frequency analysis on the received vibration signals by adopting a proper time-frequency analysis method to obtain corresponding characteristic values, and then performing state evaluation on the high-voltage shunt reactor based on the characteristic values and a proper state evaluation method to obtain a state evaluation result so as to complete monitoring on the high-voltage shunt reactor.
In a specific implementation manner of the embodiment of the present invention, the performing time-frequency analysis on the received vibration signal by using a suitable time-frequency analysis method to obtain a corresponding characteristic value, and then performing state evaluation on the high-voltage parallel reactor based on the characteristic value and a suitable state evaluation method to obtain a state evaluation result specifically includes the following steps:
processing the received vibration signal by adopting Fourier transform to obtain a frequency spectrum of the vibration signal; the calculation formula of the frequency spectrum is shown as formula (1):
obtaining the state characteristic value A of the high-voltage shunt reactor according to the formula (2) by adopting a threshold value method1Comparing with the normal state characteristic value to obtain a state evaluation result;
or obtaining the characteristic value A according to the formula (3) by adopting a neural network method2(n) as input to a neural network, thereby obtaining a state estimation result,
A2(k)＝X(50k),k＝{1,2,3,...20} (3)。
preferably, the time-frequency analysis is performed on the received vibration signal by using a suitable time-frequency analysis method to obtain a corresponding characteristic value, and then the state evaluation of the high-voltage shunt reactor is performed based on the characteristic value and a suitable state evaluation method to obtain a state evaluation result, specifically including the following steps:
processing the received vibration signal by adopting wavelet transformation to obtain a wavelet decomposition coefficient of the vibration signal, wherein a calculation formula of the wavelet decomposition coefficient of the vibration signal is shown as a formula (4);
WT(n)＝C*x(n),n＝{0,1,2...N-1} (4)
wherein WT (n) is a wavelet decomposition coefficient, C is a transformation matrix, and the specific expression is as follows:
wherein the blank position is 0, and the blank position is 0,
obtaining a state characteristic value A of the signal according to a formula (5) according to a wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module3Comparing the characteristic value with the normal state characteristic value so as to evaluate the state of the high-voltage shunt reactor;
or obtaining the characteristic value A of the signal according to the formula (6) by adopting a neural network method according to the wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module4And the state evaluation of the high-voltage shunt reactor is carried out as an input pair of the neural network.
A4(n)＝{maxCA(1),maxCA(2),...,maxCA(8)} (6)
Example 4
The embodiment of the present invention is different from embodiment 3 in that:
the embodiment of the invention also comprises the following steps: the state monitoring method for the high-voltage shunt reactor further comprises the following steps: and displaying the obtained state evaluation.
Example 5
As shown in fig. 3, based on embodiment 3, an embodiment of the present invention provides a method for monitoring a state of a high-voltage shunt reactor, including: taking vibration signals of two measuring points on the front surface and two measuring points on the axial surface of the high-voltage shunt reactor as an example, obtaining a characteristic value of the signal according to a formula (2) in the embodiment 3, and a ratio coefficient of the characteristic value of the signal to the characteristic value in the normal state is shown in data in a table in fig. 3, so that when the looseness is 60%, the characteristic value of the signal is about 2 times of that in the normal state, and the characteristic value of the looseness is about 20 times of that in the normal state, and the judgment on the current state of the reactor can be realized by setting a proper threshold value.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. A state monitoring device for a high-voltage shunt reactor is characterized in that: comprises a vibration signal acquisition unit and a signal processing unit which are connected;
the vibration signal acquisition unit is arranged on the high-voltage parallel reactor, acquires vibration signals on the surface of the high-voltage parallel reactor and sends the vibration signals to the signal processing unit;
the time-frequency analysis module in the signal processing unit performs time-frequency analysis on the received vibration signal by adopting a proper time-frequency analysis method to obtain a corresponding characteristic value, and then the state evaluation module in the signal processing unit performs state evaluation on the high-voltage shunt reactor based on the characteristic value and the proper state evaluation method to obtain a state evaluation result and complete state monitoring on the high-voltage shunt reactor;
the time-frequency analysis module processes the received vibration signal by adopting Fourier transform to obtain the frequency spectrum of the vibration signal, the calculation formula of the frequency spectrum is shown as formula (1),
wherein, x (k) is the Fourier transform of the input signal, x (N) is the input time domain discrete vibration signal, and N is the total number of sampling points of the vibration signal;
the state evaluation module obtains a state characteristic value A of the high-voltage shunt reactor according to a formula (2) by adopting a threshold value method1And comparing with the normal state characteristic value to obtain a state evaluation result,
or using a neural network method to obtain the state characteristic value A of the signal according to the formula (3)2The high-voltage shunt reactor is used as input to carry out state evaluation to obtain a state evaluation result,
A2(k)＝X(50k),k＝{1,2,3,...20} (3)；
the time-frequency analysis module processes the received vibration signal by adopting wavelet transformation to obtain a wavelet decomposition coefficient of the vibration signal, and a calculation formula of the wavelet decomposition coefficient of the vibration signal is shown as a formula (4):
WT(n)＝C*x(n),n＝{0,1,2...N-1} (4)
wherein wt (n) is a wavelet decomposition coefficient, x (n) is an input time domain discrete vibration signal, C is a transformation matrix, and the specific expression is as follows:
wherein, the blank position is 0,
the state is commented onThe estimation module obtains a state characteristic value A of the signal according to a formula (5) based on a wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module3Compared with the characteristic value of the normal state, thereby realizing the state evaluation of the high-voltage shunt reactor,
or obtaining the state characteristic value A of the signal by adopting a neural network method based on the wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module according to a formula (6)4The state evaluation of the high-voltage shunt reactor is carried out as an input pair of the neural network,
A4(n)＝{maxCA(1),maxCA(2),...,maxCA(8)} (6)
where CA (k) is the coefficient of each layer of decomposition of the wavelet transform.
2. A condition monitoring device for a high-voltage shunt reactor according to claim 1, characterized in that: the vibration signal acquisition unit comprises a vibration signal sensor and a signal acquisition card;
the vibration signal sensor is arranged on the outer surface or the inner surface of the high-voltage shunt reactor, and the output end of the vibration signal sensor is connected with the input end of the signal acquisition card;
and the output end of the signal acquisition card is connected with the input end of the signal processing unit.
3. A condition monitoring device for a high-voltage shunt reactor according to claim 1, characterized in that: the state monitoring device for the high-voltage shunt reactor further comprises a display unit and an input unit;
the data transmission end of the display unit is connected with the data transmission end of the signal processing unit and is used for displaying the state evaluation result of the high-voltage shunt reactor;
and the output end of the input unit is connected with the input end of the signal processing unit and is used for setting parameters.
4. A condition monitoring device for a high-voltage shunt reactor according to claim 3, characterized in that: the signal processing unit also comprises a safe login module; and inputting an instruction by using an input unit, and when the input instruction is the same as a preset instruction value stored in the safety login module, outputting a signal to a display unit by using a signal processing unit to display a state evaluation result.
5. A condition monitoring method for a high-voltage shunt reactor is characterized by comprising the following steps:
acquiring a vibration signal on the surface of a high-voltage shunt reactor;
performing time-frequency analysis on the received vibration signals by adopting a proper time-frequency analysis method to obtain corresponding characteristic values, and then performing state evaluation on the high-voltage shunt reactor based on the characteristic values and a proper state evaluation method to obtain a state evaluation result so as to complete state monitoring on the high-voltage shunt reactor;
the method comprises the following steps of performing time-frequency analysis on a received vibration signal by adopting a proper time-frequency analysis method to obtain a corresponding characteristic value, and then performing state evaluation on the high-voltage shunt reactor based on the characteristic value and a proper state evaluation method to obtain a state evaluation result, wherein the method specifically comprises the following steps:
processing the received vibration signal by adopting Fourier transform to obtain a frequency spectrum of the vibration signal, wherein a calculation formula of the frequency spectrum is shown as a formula (1):
wherein x (N) is an input time domain discrete vibration signal, N is the total sampling point number of the vibration signal, and X (k) is the Fourier transform of the input signal;
the state evaluation module obtains a state characteristic value A of the signal by adopting a threshold value method according to a formula (2) and according to the frequency spectrum of the vibration signal output by the time frequency analysis module1And the state of the high-voltage shunt reactor is evaluated to obtain a state evaluation result,
or obtaining the state characteristic value A of the signal according to the formula (3) by adopting a neural network method2The state evaluation of the high-voltage shunt reactor is realized as an input,
A2(k)＝X(50k),k＝{1,2,3,...20} (3)；
the method comprises the following steps of performing time-frequency analysis on a received vibration signal by adopting a proper time-frequency analysis method to obtain a corresponding characteristic value, and then performing state evaluation on the high-voltage shunt reactor based on the characteristic value and a proper state evaluation method to obtain a state evaluation result, wherein the method specifically comprises the following steps:
processing the received vibration signal by adopting wavelet transformation to obtain a wavelet decomposition coefficient of the vibration signal, wherein a calculation formula of the wavelet decomposition coefficient of the vibration signal is shown as a formula (4):
WT(n)＝C*x(n),n＝{0,1,2...N-1} (4)
wherein WT (n) is a wavelet decomposition coefficient, C is a transformation matrix, and the specific expression is as follows:
wherein, the blank position is 0,
obtaining a characteristic value A of the signal according to a formula (5) based on a wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module3Comparing with normal state to evaluate the state of the high-voltage shunt reactor,
or obtaining the state characteristic value A of the signal by adopting a neural network method based on the wavelet decomposition coefficient of the vibration signal output by the time-frequency analysis module according to a formula (6)4The state evaluation of the high-voltage shunt reactor is carried out as an input pair of the neural network,
A4(n)＝{maxCA(1),maxCA(2),...,maxCA(8)} (6)。
6. the condition monitoring method for the high-voltage shunt reactor according to claim 5, characterized in that: further comprising: and displaying the obtained state evaluation.
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