CN116298651A - Fault monitoring method, system, equipment and medium for converter valve power module - Google Patents
Fault monitoring method, system, equipment and medium for converter valve power module Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 64
- 238000000034 method Methods 0.000 title claims abstract description 42
- 230000005670 electromagnetic radiation Effects 0.000 claims abstract description 209
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- 238000006731 degradation reaction Methods 0.000 claims abstract description 75
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 38
- 239000011159 matrix material Substances 0.000 claims description 116
- 238000007476 Maximum Likelihood Methods 0.000 claims description 14
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention discloses a fault monitoring method, a system, equipment and a medium of a converter valve power module, wherein the method comprises the steps of obtaining a mixed electromagnetic radiation signal value of the converter valve power module when a monitoring instruction is received, constructing a mixed electromagnetic radiation signal value decomposition model, decomposing the mixed electromagnetic radiation signal value into a plurality of electromagnetic radiation signal values by adopting the mixed electromagnetic radiation signal value decomposition model, carrying out fast Fourier transform on the electromagnetic radiation signal values to generate a frequency domain spectrogram, selecting the maximum electromagnetic radiation amplitude from the frequency domain spectrogram as a characteristic reference quantity, adopting the characteristic reference quantity and a plurality of preset standard characteristic values to determine a degradation value corresponding to a power device, and judging whether the power device has a fault according to a comparison result of the degradation value and the preset standard state value. The technical problems that the potential fault point of a system where the current converter valve power module is located is increased and the reliability of the system is reduced due to the fact that the corresponding detection circuit is required to be connected to the fault monitoring of the current converter valve power module are solved.
Description
Technical Field
The invention relates to the technical field of relay protection, in particular to a fault monitoring method, a fault monitoring system, fault monitoring equipment and fault monitoring media for a converter valve power module.
Background
State degradation monitoring of existing converter valve power modules is usually performed by characterizing and evaluating degradation states of power devices through collecting electrical parameters such as turn-on voltage, gate current, and the like of sub-modules. However, when the electrical parameters such as voltage and current corresponding to the device are acquired, a corresponding detection circuit is required to be connected into the converter valve power module, so that potential fault points of a system where the converter valve power module is located are increased, and the reliability of the system where the converter valve power module is located is reduced.
Disclosure of Invention
The invention provides a fault monitoring method, a system, equipment and a medium for a converter valve power module, which solve the technical problems that the state degradation monitoring of the existing converter valve power module acquires electrical parameters related to devices through an acquisition module, a corresponding detection circuit is required to be connected into the converter valve power module, potential fault points of a system where the converter valve power module is located are increased, and the reliability of the system where the converter valve power module is located is reduced.
The fault monitoring method for a converter valve power module provided in the first aspect of the present invention is applied to a converter valve power module, where the converter valve power module includes a plurality of power devices electrically connected, and the fault monitoring method includes:
When a monitoring instruction is received, acquiring a mixed electromagnetic radiation signal value of the converter valve power module, and constructing a mixed electromagnetic radiation signal value decomposition model;
decomposing the mixed electromagnetic radiation signal value into electromagnetic radiation signal values corresponding to the power devices by adopting the mixed electromagnetic radiation signal value decomposition model;
performing fast Fourier transform on the electromagnetic radiation signal value to generate a frequency domain spectrogram, and selecting the maximum electromagnetic radiation amplitude from the frequency domain spectrogram as a characteristic reference quantity;
determining a degradation value corresponding to the power device by adopting the characteristic reference quantity and a plurality of preset standard characteristic values;
judging whether the degradation value is larger than or equal to a preset standard state value;
and if the degradation value is greater than or equal to the standard state value, judging that the power device fails.
Optionally, the mixed electromagnetic radiation signal value decomposition model includes an angle model, a distance model and an electromagnetic radiation signal value extraction model, and the step of decomposing the mixed electromagnetic radiation signal value into electromagnetic radiation signal values corresponding to the power devices by adopting the mixed electromagnetic radiation signal value decomposition model includes:
Substituting the mixed electromagnetic radiation signal value into the angle model, and calculating and outputting the angle value, the incoming wave angle characteristic quantity and the incoming wave distance characteristic quantity of each power device;
substituting the incoming wave angle characteristic quantity, the incoming wave distance characteristic quantity and the mixed electromagnetic radiation signal value into the distance model, and calculating and outputting the distance value of each power device;
substituting the angle value, the distance value and the mixed electromagnetic radiation signal value into the electromagnetic radiation signal value extraction model to generate electromagnetic radiation signal values corresponding to the power devices.
Optionally, the electromagnetic radiation signal value extraction model specifically includes:
wherein,,
for the mixed electromagnetic radiation signal value received by the mth sensor,>
electromagnetic radiation signal value for nth power device,/->
Is Gaussian noise value, < >>
Is long in electromagnetic radiation waveform, < >>
Is distance value>
Time delay from electromagnetic radiation signal value of nth power device to mth sensor in sensing array and 0 th sensor in middle position of array, +.>
For the distance between the individual loop sensors in the sensor array,/for>
Is an angle value->
For the angle characteristic of incoming wave, < > >
For the distance feature of incoming waves, < >>
For the electromagnetic radiation signal value of the individual power components, < >>
For the mixed electromagnetic radiation signal values received by 2M+1 sensors,/for the sensor>
For the number of power components, ">
For the moment of receiving the value of the mixed electromagnetic radiation signal, < >>
For the sensor quantity value, < >>
For the number of the sensor>
For receiving the magnitude value of the mixed electromagnetic radiation signal value, < >>
Is a coefficient matrix->
For matrix->
Column 1 matrix, ">
For matrix->
Column 2 matrix,>
for matrix->
Is>
Column matrix,/->
Is imaginary unit, ++>
For matrix space>
Is a numerical value of the electromagnetic radiation signal value.
Optionally, the angle model is specifically:
wherein,,Jas a matrix of features,
is the conjugate transpose of the matrix +.>
For maximum likelihood estimation matrix +.>
Is the desire of matrix +.>
Is natural logarithmic and is->
For maximum likelihood estimating the characteristic quantity of the matrix, +.>
For the angle characteristic value of incoming wave, < >>
For maximum likelihood estimation matrix +.>
Diagonal matrix of eigenvalues ++>
Is->
And->
Is>
Matrix of eigenvectors for R, +.>
For a first characteristic value of R, +.>
Is R->
Characteristic value->
Is number- & lt- & gt>
The mixed electromagnetic radiation signal values received by the-1 sensor form a steering matrix, +. >
Numbered 1 to->
The mixed electromagnetic radiation signal values received by the sensor form a steering matrix,>
numbered 1 to->
Number value of sensor, +.>
For signal subspace feature matrix,/a>
For signal subspace feature matrix->
Matrix of advancing elements, +.>
For signal subspace feature matrix->
Matrix of trailing elements>
For element of 1 st row and 1 st column of signal subspace characteristic matrix,/for the first time>
Line 1 of the signal subspace feature matrix +.>
Column unit element,/->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For signal subspace feature matrix +.>
Column 1 element row->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For signal subspace feature matrix +.>
Column 1 element row->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For the number of rows of elements in the matrix,/->
For the number of columns of the element in the matrix, +.>
Is an intermediate matrix.
Optionally, the distance model is specifically:
wherein,,
for the incoming wave distance characteristic value, < >>
For the number of power components, ">
Numbering the power devices.
Optionally, the standard feature value includes a first standard feature value and a second standard feature value, and the step of determining the degradation value corresponding to the power device by using the feature reference quantity and a plurality of preset standard feature values includes:
Performing difference processing on the characteristic reference quantity and the first standard characteristic value to generate a first difference value;
calculating a first absolute value of the first difference;
and carrying out ratio processing on the first absolute value and the second standard characteristic value to obtain a ratio result as a degradation value corresponding to the power device.
Optionally, the method further comprises:
if the degradation value is smaller than the standard state value, judging that the power device is normal;
judging whether each power device is normal or not;
and if the power devices are normal, skipping to execute the steps of acquiring the mixed electromagnetic radiation signal value of the converter valve power module and constructing a mixed electromagnetic radiation signal value decomposition model.
The fault monitoring system of the converter valve power module provided in the second aspect of the present invention is applied to a converter valve power module, where the converter valve power module includes a plurality of power devices electrically connected, and the fault monitoring system includes:
the monitoring instruction acquisition module is used for acquiring the mixed electromagnetic radiation signal value of the converter valve power module when receiving the monitoring instruction and constructing a mixed electromagnetic radiation signal value decomposition model;
the electromagnetic radiation signal value acquisition module is used for decomposing the mixed electromagnetic radiation signal value into electromagnetic radiation signal values corresponding to the power devices by adopting the mixed electromagnetic radiation signal value decomposition model;
The calculation analysis module is used for carrying out fast Fourier transform on the electromagnetic radiation signal value, generating a frequency domain spectrogram, and selecting the maximum electromagnetic radiation amplitude from the frequency domain spectrogram as a characteristic reference quantity;
the degradation value acquisition module is used for determining a degradation value corresponding to the power device by adopting the characteristic reference quantity and a plurality of preset standard characteristic values;
the judging and analyzing module is used for judging whether the degradation value is larger than a preset standard state value or not;
and if the degradation value is smaller than or equal to the standard state value, judging that the power device fails.
An electronic device according to a third aspect of the present invention includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to execute the steps of the fault monitoring method of the converter valve power module according to any one of the above.
A fourth aspect of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed, implements a method for fault monitoring of a converter valve power module as described in any of the preceding claims.
From the above technical scheme, the invention has the following advantages:
When a monitoring instruction is received, mixed electromagnetic radiation signal values of the converter valve power module are acquired through the annular sensing arrays which are uniformly and linearly arranged, a mixed electromagnetic radiation signal value decomposition model is constructed, the mixed electromagnetic radiation signals are subjected to positioning decomposition by adopting the mixed electromagnetic radiation signal value decomposition model, the electromagnetic radiation signal values of all power devices in the converter valve power module are obtained, the electromagnetic radiation signal values are subjected to fast Fourier transform, a frequency domain spectrogram of the electromagnetic radiation signal values is generated, the maximum electromagnetic radiation amplitude is selected from the frequency domain spectrogram as a characteristic reference quantity, the degradation value corresponding to the power devices is determined according to the characteristic reference quantity and a plurality of preset standard characteristic values, and whether the power devices fail is judged by judging whether the degradation value is greater than or equal to 95%. The method solves the technical problems that the state degradation monitoring of the existing converter valve power module acquires the electrical parameters related to devices through the acquisition module, a corresponding detection circuit is required to be connected into the converter valve power module, potential fault points of a system where the converter valve power module is located are increased, and the reliability of the system where the converter valve power module is located is reduced. The invention adopts the sensing array to collect the mixed electromagnetic radiation signal value of the converter valve power module, analyzes and judges the state of the converter valve power module, does not cause potential fault points, has non-invasive excellent characteristics, can realize the degradation state monitoring and positioning of a plurality of IGBT power devices at the same time, simplifies the monitoring and positioning circuit, and provides the reliability of the system where the converter valve power module is positioned.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flowchart of a fault monitoring method of a converter valve power module according to an embodiment of the present invention;
fig. 2 is a flow chart of steps of a fault monitoring method of a power module of a converter valve according to a second embodiment of the present invention;
fig. 3 is a block diagram of a fault monitoring system of a converter valve power module according to a third embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a fault monitoring method, a system, equipment and a medium for a converter valve power module, which are used for solving the technical problems that the state degradation monitoring of the existing converter valve power module is used for acquiring electrical parameters related to devices through an acquisition module, a corresponding detection circuit is required to be connected into the converter valve power module, potential fault points of a system where the converter valve power module is located are increased, and the reliability of the system where the converter valve power module is located is reduced.
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating a fault monitoring method for a converter valve power module according to an embodiment of the invention.
The invention provides a fault monitoring method of a converter valve power module, which is applied to the converter valve power module, wherein the converter valve power module comprises a plurality of power devices which are electrically connected, and comprises the following steps:
and 101, when a monitoring instruction is received, acquiring a mixed electromagnetic radiation signal value of a converter valve power module, and constructing a mixed electromagnetic radiation signal value decomposition model.
The monitoring instruction refers to a control instruction sent by a technician in need of detecting the current running state of the converter valve power module.
The converter valve power module refers to a power device group consisting of a plurality of IGBT power devices.
The mixed electromagnetic radiation signal value refers to EMR electromagnetic radiation signal values generated by a plurality of IGBT power devices acquired by the annular near-field probe sensing array which is uniformly and linearly arranged.
The mixed electromagnetic radiation signal value decomposition model refers to an electromagnetic radiation signal value corresponding to each IGBT power device which is obtained by analyzing the input mixed electromagnetic radiation signal value.
In the embodiment of the invention, when a monitoring instruction sent by a technician is received, a mixed electromagnetic radiation signal value of the converter valve power module is obtained through the sensing array, and a mixed electromagnetic radiation signal value decomposition model is constructed.
It should be noted that, the mixed electromagnetic radiation signal value of the converter valve power module can also be obtained through the annular near-field probe sensing array which is uniformly and linearly arranged.
And 102, decomposing the mixed electromagnetic radiation signal value into electromagnetic radiation signal values corresponding to all power devices by adopting a mixed electromagnetic radiation signal value decomposition model.
In the embodiment of the invention, the mixed electromagnetic radiation signal is input into a mixed electromagnetic radiation signal value decomposition model, and the mixed electromagnetic radiation signal value is decomposed into electromagnetic radiation signal values corresponding to all IGBT power devices.
And 103, performing fast Fourier transform on the electromagnetic radiation signal value to generate a frequency domain spectrogram, and selecting the maximum electromagnetic radiation amplitude from the frequency domain spectrogram as a characteristic reference quantity.
The characteristic reference quantity refers to a peak value at the position with the maximum amplitude in the generated frequency domain spectrogram after the electromagnetic radiation signal value is subjected to fast Fourier transform.
In the embodiment of the invention, the electromagnetic radiation signal value is subjected to fast Fourier transform to generate a frequency domain spectrogram, and the maximum electromagnetic radiation amplitude in the frequency domain spectrogram is selected as a characteristic reference quantity.
In the accelerated ageing test of the IGBT power device, the IGBT power device is subjected to a relatively large electrothermal stress under a load condition to gradually undergo degradation failure, and the IGBT power device is continuously and repeatedly subjected to power cycling from a healthy state, so as to obtain a corresponding relation between the characteristic reference quantity and the degradation value of the IGBT power device.
And 104, determining a degradation value corresponding to the power device by adopting the characteristic reference quantity and a plurality of preset standard characteristic values.
The standard characteristic value comprises a first standard characteristic value and a second standard characteristic value, wherein the first standard characteristic value is a characteristic reference range of health before failure of the IGBT power device, and the second standard characteristic value represents the characteristic reference change level of the IGBT power device.
The degradation value refers to the degradation degree of the IGBT power device.
In the embodiment of the invention, the degradation value corresponding to the IGBT power device is determined according to the characteristic reference quantity, the preset first standard characteristic value and the second standard characteristic value.
The standard state value refers to a degradation value of the IGBT power device in a rated state, and the degradation value is 95%.
In the embodiment of the invention, it is judged whether the degradation value is 95% or more.
And 106, if the degradation value is greater than or equal to the standard state value, judging that the power device fails.
In the embodiment of the invention, if the degradation value is greater than or equal to 95%, the IGBT power device is judged to have faults.
In the embodiment of the invention, when a monitoring instruction is received, a mixed electromagnetic radiation signal value of a converter valve power module is acquired through an annular sensing array which is uniformly and linearly arranged, a mixed electromagnetic radiation signal value decomposition model is constructed, the mixed electromagnetic radiation signal is subjected to positioning decomposition by adopting the mixed electromagnetic radiation signal value decomposition model to obtain electromagnetic radiation signal values of all power devices in the converter valve power module, the electromagnetic radiation signal values are subjected to fast Fourier transform to generate a frequency domain spectrogram of the electromagnetic radiation signal values, the maximum electromagnetic radiation amplitude is selected from the frequency domain spectrogram as a characteristic reference quantity, a degradation value corresponding to the power devices is determined according to the characteristic reference quantity and a plurality of preset standard characteristic values, and whether the power devices fail is judged by judging whether the degradation value is more than or equal to 95 percent. The method solves the technical problems that the state degradation monitoring of the existing converter valve power module acquires the electrical parameters related to devices through the acquisition module, a corresponding detection circuit is required to be connected into the converter valve power module, potential fault points of a system where the converter valve power module is located are increased, and the reliability of the system where the converter valve power module is located is reduced. According to the invention, whether the converter valve power module fails or not is judged by collecting the mixed electromagnetic radiation signal value when the converter valve power module works, the degradation states of all power devices of the converter valve power module can be monitored and positioned without connecting a detection circuit into the converter valve power module, potential failure points of a system where the converter valve power module is located are not increased, and the reliability of the system where the converter valve power module is located is improved.
Referring to fig. 2, fig. 2 is a flowchart illustrating a fault monitoring method for a converter valve power module according to a second embodiment of the present invention.
The invention provides a fault monitoring method of a converter valve power module, which is applied to the converter valve power module, wherein the converter valve power module comprises a plurality of power devices which are electrically connected, and comprises the following steps:
and 201, when a monitoring instruction is received, acquiring a mixed electromagnetic radiation signal value of the converter valve power module, and constructing a mixed electromagnetic radiation signal value decomposition model.
In the embodiment of the invention, when a monitoring instruction sent by a technician is received, the mixed electromagnetic radiation signal value generated in the operation process of the converter valve power module is acquired through the annular near-field probe sensing array which is uniformly and linearly arranged.
Further, the angle model is specifically:
wherein,,Jas a matrix of features,
is the conjugate transpose of the matrix +.>
For maximum likelihood estimation matrix +.>
Is the desire of matrix +.>
Is natural logarithmic and is->
For maximum likelihood estimating the characteristic quantity of the matrix, +. >
For the angle characteristic value of incoming wave, < >>
For maximum likelihood estimation matrix +.>
Diagonal matrix of eigenvalues ++>
Is->
And->
Is>
Matrix of eigenvectors for R, +.>
For a first characteristic value of R, +.>
Is R->
Characteristic value->
Is number- & lt- & gt>
The mixed electromagnetic radiation signal values received by the-1 sensor form a steering matrix, +.>
Numbered 1 to->
The mixed electromagnetic radiation signal values received by the sensor form a steering matrix,>
numbered 1 to->
Number value of sensor, +.>
For signal subspace feature matrix,/a>
For signal subspace feature matrix->
Matrix of advancing elements, +.>
For signal subspace feature matrix->
Matrix of trailing elements>
For element of 1 st row and 1 st column of signal subspace characteristic matrix,/for the first time>
Line 1 of the signal subspace feature matrix +.>
Column unit element,/->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For signal subspace feature matrix +.>
Column 1 element row->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For signal subspace feature matrix +.>
Column 1 element row->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For the number of rows of elements in the matrix,/- >
For the number of columns of the element in the matrix, +.>
Is an intermediate matrix.
The angle value refers to the angle of each power device as an electromagnetic radiation source compared to the intermediate position sensor, i.e. the intermediate position sensor is numbered 0.
In the embodiment of the invention, the mixed electromagnetic radiation signal value is input into an angle model, and the angle, the incoming wave angle characteristic quantity and the incoming wave distance characteristic quantity of the electromagnetic radiation source of each power device compared with the intermediate position sensor are calculated and output.
After the mixed electromagnetic radiation signal value is input into the angle model, the mixed electromagnetic radiation signal value formed by L groups of electromagnetic radiation signal values is converted into(2M+1)*LData matrix of (2)
Performing covariance change to obtain maximum likelihood estimation matrix, performing feature decomposition on the maximum likelihood estimation matrix to generate +.>
The signal subspace feature matrix divides the mixed electromagnetic radiation signal values acquired by the sensors with serial numbers of-M, …,0 and … M from left to right into two subarrays, wherein the first subarray is a probe with the number of-M and Q probes on the right side of the probeThe head, the second sub-array is the M probe and Q probes on the left. Let A1 be the steering matrix of sub-array 1, A2 be the steering matrix of sub-array 2, because of the symmetry of the two sub-array structures, the two matrices A1 and A2 are related to each other, divide the signal subspace feature matrix into +. >
And->
。
And 203, substituting the incoming wave angle characteristic quantity, the incoming wave distance characteristic quantity and the mixed electromagnetic radiation signal value into a distance model, and calculating and outputting the distance value of each power device.
Further, the distance is specifically:
wherein,,
for the incoming wave distance characteristic value, < >>
For the number of power components, ">
Numbering the power devices.
The distance value refers to the distance between each power device as an electromagnetic radiation source and the intermediate position sensor, wherein the number of the intermediate position sensor is 0.
In the embodiment of the invention, the angle characteristic quantity of the future wave, the distance characteristic quantity of the incoming wave and the mixed electromagnetic radiation signal value are substituted into a distance model, and the distance of each power device serving as an electromagnetic radiation source relative to an intermediate position sensor is calculated and output.
And 204, substituting the angle value, the distance value and the mixed electromagnetic radiation signal value into an electromagnetic radiation signal value extraction model to generate electromagnetic radiation signal values corresponding to all the power devices.
The electromagnetic radiation signal value extraction model specifically comprises the following steps:
wherein,,
for the mixed electromagnetic radiation signal value received by the mth sensor,>
electromagnetic radiation signal value for nth power device,/->
Is Gaussian noise value, < >>
For electromagnetic radiation waveform Long (I)>
Is distance value>
Time delay from electromagnetic radiation signal value of nth power device to mth sensor in sensing array and 0 th sensor in middle position of array, +.>
For the distance between the individual loop sensors in the sensor array,/for>
Is an angle value->
For the angle characteristic of incoming wave, < >>
For the distance feature of incoming waves, < >>
For the electromagnetic radiation signal value of the individual power components, < >>
For the mixed electromagnetic radiation signal values received by 2M+1 sensors,/for the sensor>
For the number of power components, ">
For the moment of receiving the value of the mixed electromagnetic radiation signal, < >>
For the sensor quantity value, < >>
For the number of the sensor>
For receiving the magnitude value of the mixed electromagnetic radiation signal value, < >>
Is a coefficient matrix->
For matrix->
Column 1 matrix, ">
For matrix->
Column 2 matrix,>
for matrix->
Is>
Column matrix,/->
Is imaginary unit, ++>
For matrix space>
Is a numerical value of the electromagnetic radiation signal value.
In the embodiment of the invention, the distance and the angle of each power device serving as the electromagnetic radiation source relative to the intermediate position sensor and the mixed electromagnetic radiation signal value are substituted into an electromagnetic radiation signal value extraction model, so that the electromagnetic radiation signal value corresponding to each power device is generated.
In the embodiment of the invention, the electromagnetic radiation signal values of all the power devices are subjected to fast Fourier transform to generate a frequency domain spectrogram, and the maximum electromagnetic radiation amplitude value is extracted from the frequency domain spectrogram as a characteristic reference quantity.
The frequency domain spectrogram comprises frequency domains of electromagnetic radiation signal values, frequency domain signal peak values can be extracted from the frequency domain spectrogram to serve as characteristic reference quantities of the power device, and the frequency domain signal peak values are the largest electromagnetic radiation amplitude values.
And 206, determining a degradation value corresponding to the power device by adopting the characteristic reference quantity and a plurality of preset standard characteristic values.
Further, the standard characteristic value comprises a first standard characteristic value and a second standard characteristic value, and step 206 comprises the following sub-steps:
the first standard characteristic value refers to a characteristic reference quantity of the IGBT power device in an initial state in an accelerated aging test.
The second standard characteristic value refers to an absolute value of a difference value between a characteristic reference value in an initial state and 105% of the characteristic reference value after 90 minutes in an accelerated aging test of the IGBT power device.
S11, performing difference processing on the characteristic reference quantity and the first standard characteristic value to generate a first difference value.
In an embodiment of the invention, a first difference between the feature reference quantity and a first standard feature value is calculated.
S12, calculating a first absolute value of the first difference value.
In an embodiment of the invention, a first absolute value of the first difference is calculated.
S13, carrying out ratio processing on the first absolute value and the second standard characteristic value to obtain a ratio result serving as a degradation value corresponding to the power device.
In the embodiment of the invention, a first ratio between the first absolute value and the second standard characteristic value is calculated, and the ratio is used as a degradation value corresponding to the power device.
It should be noted that, the IGBT module is continuously and repeatedly subjected to power cycling from a healthy state, in the experimental process, each power cycling period is set to 1s, including a turn-on time of 0.3s and a turn-off time of 0.7s, a rated current of 1.5 times flows during turn-on, each 30min is a group, and after one group of power cycling is completed, the IGBT power device is completely cooled, and then the next group of experiments is performed. And respectively measuring EMR signals generated when the power device subjected to 30min aging, 60min aging and 90min aging operates under the condition of passing rated current, and extracting characteristic reference quantity EMRS after performing fast Fourier transform on the signals in each aging state, so as to obtain a relation curve between the EMRS and the degradation state (accelerated aging time) of the device. As the aging time becomes longer, the degradation of the device is deepened, the EMRS is reduced, the EMRS range between the IGBT and the gradual degradation failure of 90min from the healthy state is denoted as a reference interval, a 5% fluctuation interval around the EMRS value in the healthy state is denoted as a threshold interval 1, a interval of 5% EMRS value fluctuation before the degradation and degradation failure of the device for 90min is denoted as a threshold interval 2, and a interval of 5% EMRS value fluctuation before the degradation and failure of the device for 90min is denoted as a threshold interval 2, wherein THB1 is a characteristic reference amount of the initial state of the power device, THB2 is 105% of a characteristic reference amount of the power device after 90min, wherein the first standard characteristic value is THB1, and the second standard characteristic value is |thb 1-105% (THB 2) |.
Step 207 determines whether the degradation value is greater than or equal to a preset standard state value.
In the embodiment of the invention, it is judged whether the degradation value is 95% or more.
Step 208 determines that the power device fails if the degradation value is greater than or equal to the standard state value.
In the embodiment of the invention, if the degradation value is greater than or equal to 95%, the degradation failure of the power device is indicated, and maintenance or replacement is needed.
Further, the method also comprises the following substeps:
s21, if the degradation value is smaller than the standard state value, judging that the power device is normal.
In the embodiment of the invention, if the degradation value is smaller than 95%, the current power device is normal, and whether the next power device is normal is judged.
S22, judging whether each power device is normal or not.
In the embodiment of the invention, whether the degradation values corresponding to the power devices are less than 95% or not is judged.
S23, if the power devices are normal, the step of obtaining the mixed electromagnetic radiation signal value of the converter valve power module and constructing a mixed electromagnetic radiation signal value decomposition model is carried out in a jumping mode.
In the embodiment of the invention, if each power device is normal, the power module of the converter valve is judged to be normal, and the step of obtaining the mixed electromagnetic radiation signal value of the power module of the converter valve and constructing the mixed electromagnetic radiation signal value decomposition model is carried out in a jumping manner, so that the real-time monitoring of the power module of the converter valve is realized.
In the embodiment of the invention, when a monitoring instruction is received, a mixed electromagnetic radiation signal value of a converter valve power module is acquired through an annular sensing array which is uniformly and linearly arranged, a mixed electromagnetic radiation signal value decomposition model is constructed, the mixed electromagnetic radiation signal is subjected to positioning decomposition by adopting the mixed electromagnetic radiation signal value decomposition model to obtain electromagnetic radiation signal values of all power devices in the converter valve power module, the electromagnetic radiation signal values are subjected to fast Fourier transform to generate a frequency domain spectrogram of the electromagnetic radiation signal values, the maximum electromagnetic radiation amplitude is selected from the frequency domain spectrogram as a characteristic reference quantity, a degradation value corresponding to the power devices is determined according to the characteristic reference quantity and a plurality of preset standard characteristic values, and whether the power devices fail is judged by judging whether the degradation value is more than or equal to 95%, so that the real-time detection of the converter valve power module is realized. The method solves the technical problems that the state degradation monitoring of the existing converter valve power module acquires the electrical parameters related to devices through the acquisition module, a corresponding detection circuit is required to be connected into the converter valve power module, potential fault points of a system where the converter valve power module is located are increased, and the reliability of the system where the converter valve power module is located is reduced. According to the invention, whether the converter valve power module fails or not is judged by collecting the mixed electromagnetic radiation signal value when the converter valve power module works, the degradation states of all power devices of the converter valve power module can be monitored and positioned without connecting a detection circuit into the converter valve power module, potential failure points of a system where the converter valve power module is located are not increased, and the reliability of the system where the converter valve power module is located is improved.
Referring to fig. 3, fig. 3 is a block diagram illustrating a fault monitoring system of a converter valve power module according to a third embodiment of the present invention.
The embodiment of the invention provides a fault monitoring system of a converter valve power module, which is applied to the converter valve power module, wherein the converter valve power module comprises a plurality of power devices which are electrically connected, and comprises:
the monitoring instruction acquisition module 301 is configured to acquire a mixed electromagnetic radiation signal value of the converter valve power module and construct a mixed electromagnetic radiation signal value decomposition model when a monitoring instruction is received;
an electromagnetic radiation signal value obtaining module 302, configured to decompose the mixed electromagnetic radiation signal value into electromagnetic radiation signal values corresponding to each power device by using a mixed electromagnetic radiation signal value decomposition model;
the calculation and analysis module 303 is configured to perform fast fourier transform on the electromagnetic radiation signal value, generate a frequency domain spectrogram, and select a maximum electromagnetic radiation amplitude from the frequency domain spectrogram as a feature reference quantity;
the degradation value obtaining module 304 is configured to determine a degradation value corresponding to the power device by using the feature reference quantity and a plurality of preset standard feature values;
a judgment analysis module 305, configured to judge whether the degradation value is greater than or equal to a preset standard state value;
And if the degradation value is greater than or equal to the standard state value, judging that the power device fails.
Further, the hybrid electromagnetic radiation signal value decomposition model includes an angle model, a distance model, and an electromagnetic radiation signal value extraction model, and the electromagnetic radiation signal value acquisition module 302 includes:
the angle value acquisition sub-module is used for substituting the mixed electromagnetic radiation signal value into an angle model, and calculating and outputting the angle value, the incoming wave angle characteristic quantity and the incoming wave distance characteristic quantity of each power device;
the distance value acquisition sub-module is used for substituting the incoming wave angle characteristic quantity, the incoming wave distance characteristic quantity and the mixed electromagnetic radiation signal value into a distance model, and calculating and outputting the distance value of each power device;
and the electromagnetic radiation signal value extraction submodule is used for substituting the angle value, the distance value and the mixed electromagnetic radiation signal value into an electromagnetic radiation signal value extraction model to generate electromagnetic radiation signal values corresponding to all the power devices.
Further, the angle model is specifically:
wherein,,Jas a matrix of features,
is the conjugate transpose of the matrix +.>
For maximum likelihood estimation matrix +.>
Is the desire of matrix +.>
Is natural logarithmic and is->
For maximum likelihood estimating the characteristic quantity of the matrix, +. >
For the angle characteristic value of incoming wave, < >>
For maximum likelihood estimation matrix +.>
A diagonal matrix of eigenvalues,/>
is->
And->
Is>
Matrix of eigenvectors for R, +.>
For a first characteristic value of R, +.>
Is R->
Characteristic value->
Is number- & lt- & gt>
The mixed electromagnetic radiation signal values received by the-1 sensor form a steering matrix, +.>
Numbered 1 to->
The mixed electromagnetic radiation signal values received by the sensor form a steering matrix,>
numbered 1 to->
Number value of sensor, +.>
For signal subspace feature matrix,/a>
For signal subspace feature matrix->
Matrix of advancing elements, +.>
For signal subspace feature matrix->
Matrix of trailing elements>
For element of 1 st row and 1 st column of signal subspace characteristic matrix,/for the first time>
Line 1 of the signal subspace feature matrix +.>
Column unit element,/->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For signal subspace feature matrix +.>
Column 1 element row->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For signal subspace feature matrix +.>
Column 1 element row->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For the number of rows of elements in the matrix,/- >
For the number of columns of the element in the matrix, +.>
Is an intermediate matrix.
Further, the distance model is specifically:
wherein,,
for the incoming wave distance characteristic value, < >>
For the number of power components, ">
Numbering the power devices.
Further, the electromagnetic radiation signal value extraction model specifically comprises the following steps:
wherein,,
for the mixed electromagnetic radiation signal value received by the mth sensor,>
electromagnetic radiation signal value for nth power device,/->
Is Gaussian noise value, < >>
For electromagnetic radiation wave length，/>
Is distance value>
For the time delay from the electromagnetic radiation signal value of the nth power device to the mth sensor in the sensing array and the 0 th sensor in the middle position of the array,
for the distance between the individual loop sensors in the sensor array,/for>
Is an angle value->
For the angle characteristic of incoming wave, < >>
For the distance feature of incoming waves, < >>
For the electromagnetic radiation signal value of the individual power components, < >>
For the mixed electromagnetic radiation signal values received by 2M+1 sensors,/for the sensor>
For the number of power components, ">
For the moment of receiving the value of the mixed electromagnetic radiation signal, < >>
For the sensor quantity value, < >>
For the number of the sensor>
For receiving the magnitude value of the mixed electromagnetic radiation signal value, < >>
Is a coefficient matrix->
For matrix- >
Column 1 matrix, ">
For matrix->
Column 2 matrix,>
for matrix->
Is>
Column matrix,/->
Is imaginary unit, ++>
For matrix space>
Is a numerical value of the electromagnetic radiation signal value.
Further, the standard feature value includes a first standard feature value and a second standard feature value, and the degradation value obtaining module 304 includes:
the first difference value acquisition sub-module is used for carrying out difference processing on the characteristic reference quantity and the first standard characteristic value to generate a first difference value;
a first absolute value calculation sub-module for calculating a first absolute value of the first difference value;
and the degradation value acquisition sub-module is used for carrying out ratio processing on the first absolute value and the second standard characteristic value to obtain a ratio result which is used as a degradation value corresponding to the power device.
Further, the method further comprises the following steps:
the adjusting execution module is used for judging that the power device is normal if the degradation value is smaller than the standard state value;
judging whether each power device is normal or not;
and if the power devices are normal, skipping and executing the steps of acquiring the mixed electromagnetic radiation signal value of the converter valve power module and constructing a mixed electromagnetic radiation signal value decomposition model.
The fourth embodiment of the invention also provides an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program; the computer program, when executed by a processor, causes the processor to perform the steps of the fault monitoring method of a converter valve power module as described in any of the embodiments above.
The fifth embodiment of the present invention further provides a computer readable storage medium, where a computer program when executed implements a fault monitoring method for a converter valve power module according to any one of the foregoing embodiments.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working procedures of the above-described system and unit may refer to the corresponding procedures in the foregoing method embodiments, which are not repeated here.
In the several embodiments provided in this application, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, units, etc. in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The fault monitoring method for the converter valve power module is characterized by being applied to the converter valve power module, wherein the converter valve power module comprises a plurality of power devices which are electrically connected, and the fault monitoring method comprises the following steps:
when a monitoring instruction is received, acquiring a mixed electromagnetic radiation signal value of the converter valve power module, and constructing a mixed electromagnetic radiation signal value decomposition model;
decomposing the mixed electromagnetic radiation signal value into electromagnetic radiation signal values corresponding to the power devices by adopting the mixed electromagnetic radiation signal value decomposition model;
performing fast Fourier transform on the electromagnetic radiation signal value to generate a frequency domain spectrogram, and selecting the maximum electromagnetic radiation amplitude from the frequency domain spectrogram as a characteristic reference quantity;
Determining a degradation value corresponding to the power device by adopting the characteristic reference quantity and a plurality of preset standard characteristic values;
judging whether the degradation value is larger than or equal to a preset standard state value;
and if the degradation value is greater than or equal to the standard state value, judging that the power device fails.
2. The method for fault monitoring of a converter valve power module according to claim 1, wherein the mixed electromagnetic radiation signal value decomposition model includes an angle model, a distance model and an electromagnetic radiation signal value extraction model, and the step of decomposing the mixed electromagnetic radiation signal value into electromagnetic radiation signal values corresponding to the power devices by using the mixed electromagnetic radiation signal value decomposition model includes:
substituting the mixed electromagnetic radiation signal value into the angle model, and calculating and outputting the angle value, the incoming wave angle characteristic quantity and the incoming wave distance characteristic quantity of each power device;
substituting the incoming wave angle characteristic quantity, the incoming wave distance characteristic quantity and the mixed electromagnetic radiation signal value into the distance model, and calculating and outputting the distance value of each power device;
substituting the angle value, the distance value and the mixed electromagnetic radiation signal value into the electromagnetic radiation signal value extraction model to generate electromagnetic radiation signal values corresponding to the power devices.
3. The fault monitoring method of a converter valve power module according to claim 2, wherein the electromagnetic radiation signal value extraction model specifically comprises:
wherein,,
for the mixed electromagnetic radiation signal value received by the mth sensor,>
electromagnetic radiation signal value for nth power device,/->
Is Gaussian noise value, < >>
Is long in electromagnetic radiation waveform, < >>
Is distance value>
Time delay from electromagnetic radiation signal value of nth power device to mth sensor in sensing array and 0 th sensor in middle position of array, +.>
For the distance between the individual loop sensors in the sensor array,/for>
Is an angle value->
For the angle characteristic of incoming wave, < >>
For the distance feature of incoming waves, < >>
For the electromagnetic radiation signal value of the individual power components, < >>
Mix received for 2M+1 sensorsCombining electromagnetic radiation signal values,/->
For the number of power components, ">
For the moment of receiving the value of the mixed electromagnetic radiation signal, < >>
In order to obtain the value of the sensor quantity,
for the number of the sensor>
For receiving the magnitude value of the mixed electromagnetic radiation signal value, < >>
Is a coefficient matrix->
Is a matrix
Column 1 matrix, ">
For matrix->
Column 2 matrix,>
for matrix->
Is>
Column matrix,/->
Is imaginary unit, ++ >
For matrix space>
Is a numerical value of the electromagnetic radiation signal value.
4. The fault monitoring method of a converter valve power module according to claim 2, wherein the angle model is specifically:
wherein,,Jas a matrix of features,
is the conjugate transpose of the matrix +.>
For maximum likelihood estimation matrix +.>
Is the desire of matrix +.>
Is natural logarithmic and is->
For maximum likelihood estimating the characteristic quantity of the matrix, +.>
For the angle characteristic value of incoming wave, < >>
For maximum likelihood estimation matrix +.>
Diagonal matrix of eigenvalues ++>
Is->
And->
Is>
Matrix of eigenvectors for R, +.>
For a first characteristic value of R, +.>
Is R->
Characteristic value->
Is number- & lt- & gt>
The mixed electromagnetic radiation signal values received by the-1 sensor form a steering matrix, +.>
Numbered 1 to->
The mixed electromagnetic radiation signal values received by the sensor form a steering matrix,>
numbered 1 to->
Number value of sensor, +.>
For signal subspace feature matrix,/a>
For signal subspace feature matrix->
Matrix of advancing elements, +.>
For signal subspace feature matrix->
Matrix of trailing elements>
For element of 1 st row and 1 st column of signal subspace characteristic matrix,/for the first time>
Line 1 of the signal subspace feature matrix +. >
The column of unit elements is arranged in a column,
for signal subspace feature matrix +.>
Line->
Column unit element,/->
Is the signal subspace feature matrix
Column 1 element row->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For signal subspace feature matrix +.>
Column 1 element row->
For signal subspace feature matrix +.>
Line->
Column unit element,/->
For the number of rows of elements in the matrix,/->
For the number of columns of the element in the matrix, +.>
Is an intermediate matrix.
5. The fault monitoring method of a converter valve power module according to claim 2, wherein the distance model is specifically:
wherein,,
for the incoming wave distance characteristic value, < >>
For the number of power components, ">
Numbering the power devices.
6. The fault monitoring method of a converter valve power module according to claim 1, wherein the standard characteristic values include a first standard characteristic value and a second standard characteristic value, and the step of determining the degradation value corresponding to the power device by using the characteristic reference quantity and a plurality of preset standard characteristic values includes:
performing difference processing on the characteristic reference quantity and the first standard characteristic value to generate a first difference value;
Calculating a first absolute value of the first difference;
and carrying out ratio processing on the first absolute value and the second standard characteristic value to obtain a ratio result as a degradation value corresponding to the power device.
7. The method of fault monitoring of a converter valve power module of claim 1, further comprising:
if the degradation value is smaller than the standard state value, judging that the power device is normal;
judging whether each power device is normal or not;
and if the power devices are normal, skipping to execute the steps of acquiring the mixed electromagnetic radiation signal value of the converter valve power module and constructing a mixed electromagnetic radiation signal value decomposition model.
8. The utility model provides a fault monitoring system of converter valve power module, its characterized in that is applied to converter valve power module, converter valve power module includes a plurality of electric connection's power device, includes:
the monitoring instruction acquisition module is used for acquiring the mixed electromagnetic radiation signal value of the converter valve power module when receiving the monitoring instruction and constructing a mixed electromagnetic radiation signal value decomposition model;
the electromagnetic radiation signal value acquisition module is used for decomposing the mixed electromagnetic radiation signal value into electromagnetic radiation signal values corresponding to the power devices by adopting the mixed electromagnetic radiation signal value decomposition model;
The calculation analysis module is used for carrying out fast Fourier transform on the electromagnetic radiation signal value, generating a frequency domain spectrogram, and selecting the maximum electromagnetic radiation amplitude from the frequency domain spectrogram as a characteristic reference quantity;
the degradation value acquisition module is used for determining a degradation value corresponding to the power device by adopting the characteristic reference quantity and a plurality of preset standard characteristic values;
the judging and analyzing module is used for judging whether the degradation value is larger than a preset standard state value or not;
and if the degradation value is smaller than or equal to the standard state value, judging that the power device fails.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the fault monitoring method of a converter valve power module according to any one of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed, implements a method for fault monitoring of a converter valve power module according to any of claims 1-7.
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