CN112067992A - Method and device for detecting degradation degree of motor winding, detection equipment and storage medium - Google Patents
Method and device for detecting degradation degree of motor winding, detection equipment and storage medium Download PDFInfo
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R31/346—Testing of armature or field windings
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/005—Testing of electric installations on transport means
- G01R31/008—Testing of electric installations on transport means on air- or spacecraft, railway rolling stock or sea-going vessels
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G01R31/343—Testing dynamo-electric machines in operation
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Abstract
The application relates to a method and a device for detecting the degradation degree of a motor winding, detection equipment and a storage medium. The degradation degree detection method of the motor winding comprises the steps of obtaining LCR parameters of the motor winding to be detected under each preset test frequency; generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency; extracting a curve of a preset frequency band in the spectrum characteristic curve, and acquiring a maximum parameter value according to the curve of the preset frequency band; and processing the maximum parameter value and the preset reference value to obtain the degradation degree of the motor winding to be tested. The method makes up the vacancy of the method for detecting the degradation degree of the direct current traction motor winding. Compared with the traditional test means, the nondestructive measurement of the degradation degree of the motor winding can be realized; this method contains more information than the dielectric parameter test method at a single frequency. Meanwhile, according to LCR frequency spectrum characteristic analysis, a data evaluation system of the winding degradation degree of the traction motor can be perfected, and reference can be provided for optimization of locomotive overhaul regulations.
Description
Technical Field
The present disclosure relates to the field of motor detection technologies, and in particular, to a method and an apparatus for detecting a degradation degree of a motor winding, a detection device, and a storage medium.
Background
The direct current traction motor is core equipment of a high-speed heavy-load train, and the safety and the stability of the train are influenced by the good and the bad insulation performance of the direct current traction motor. In the running process of the traction motor, the winding of the traction motor is influenced by a plurality of factors such as temperature, electric field and the like for a long time, so that the insulation state and the degradation degree of the winding are continuously changed, and the safe and stable running of a train is threatened, therefore, the winding of the traction motor needs to be subjected to preventive tests in the running process of the traction motor.
In the implementation process, the inventor finds that at least the following problems exist in the conventional technology: traditional preventative testing is destructive.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a detection device, and a storage medium for detecting the degree of degradation of a motor winding, which can be nondestructively detected, in view of the above technical problems.
In order to achieve the above object, in one aspect, an embodiment of the present invention provides a method for detecting a degradation degree of a motor winding, including:
acquiring LCR parameters of a motor winding to be tested at each preset test frequency;
generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency;
extracting a curve of a preset frequency band in the spectrum characteristic curve, and acquiring a maximum parameter value according to the curve of the preset frequency band;
and processing the maximum parameter value and the preset reference value to obtain the degradation degree of the motor winding to be tested.
In one embodiment, the method further comprises the following steps:
acquiring blank LCR parameters of the new machine under each preset test frequency;
generating a blank frequency spectrum characteristic curve according to each blank LCR parameter and the corresponding preset test frequency;
and extracting a blank curve of a preset frequency band in the blank spectrum characteristic curve, and acquiring a preset reference value according to the blank curve.
In one embodiment, the step of obtaining the LCR parameters of the winding of the motor to be tested at each preset test frequency includes:
outputting an instruction to the LCR measuring instrument; the instruction is used for instructing the LCR measuring instrument to set the output frequency according to each preset testing frequency, and the LCR parameters corresponding to each preset testing frequency are respectively obtained after the setting is finished.
In one embodiment, in the step of processing the maximum parameter value and the preset reference value to obtain the degradation degree of the winding of the motor to be tested, the degradation degree is obtained based on the following formula:
wherein DD is the degree of deterioration; zmaxIs the maximum parameter value; z0maxIs a preset reference value.
In one embodiment, the LCR parameters include any one or any combination of the following: inductance, capacitance, resistance, phase angle, loss, and impedance.
In one embodiment, each predetermined test frequency falls within the interval of 20Hz to 10 MHz.
In one aspect, an embodiment of the present invention further provides a degradation degree detection apparatus for a motor winding, including:
the acquisition module is used for acquiring LCR parameters of the motor winding to be tested at each preset test frequency;
the curve generation module is used for generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency;
the extraction module is used for extracting a curve of a preset frequency band in the spectrum characteristic curve and acquiring a maximum parameter value according to the curve of the preset frequency band;
and the degradation degree generation module is used for processing the maximum parameter value and the preset reference value to obtain the degradation degree of the motor winding to be tested.
On one hand, the embodiment of the invention also provides equipment for detecting the degradation degree of the motor winding, which comprises an LCR measuring instrument, a processor and a memory, wherein the LCR measuring instrument is used for detecting the motor winding to be detected; the memory stores a computer program; the steps of any of the methods described above are implemented when the computer program is executed by a processor.
In one embodiment, the motor winding testing device further comprises a test box for accommodating the motor winding to be tested, a temperature sensor for detecting the temperature inside the test box and a humidity sensor for detecting the humidity inside the test box.
In another aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of any one of the above methods.
One of the above technical solutions has the following advantages and beneficial effects:
the degradation degree detection method of the motor winding comprises the steps of firstly, obtaining LCR parameters of the motor winding to be detected under each preset test frequency; then, generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency; secondly, extracting a curve of a preset frequency band in the spectrum characteristic curve, and acquiring a maximum parameter value according to the curve of the preset frequency band; and finally, processing the maximum parameter value and a preset reference value to obtain the degradation degree of the motor winding to be tested. The method makes up the vacancy of the method for detecting the degradation degree of the direct current traction motor winding. Compared with the traditional test means, the nondestructive measurement of the degradation degree of the motor winding can be realized; this method contains more information than the dielectric parameter test method at a single frequency. Meanwhile, according to LCR frequency spectrum characteristic analysis, a data evaluation system of the degradation degree of the traction motor winding can be perfected, train overhaul service can be better served, reference can be provided for optimization of locomotive overhaul regulations, and the purpose of state overhaul is finally achieved.
Drawings
The foregoing and other objects, features and advantages of the application will be apparent from the following more particular description of preferred embodiments of the application, as illustrated in the accompanying drawings. Like reference numerals refer to like parts throughout the drawings, and the drawings are not intended to be drawn to scale in actual dimensions, emphasis instead being placed upon illustrating the subject matter of the present application.
FIG. 1 is a schematic flow chart illustrating a method for detecting degradation of a winding of an electric machine according to one embodiment;
FIG. 2 is a flowchart illustrating steps of obtaining a predetermined reference value according to an embodiment;
FIG. 3 is a block diagram showing the structure of a deterioration degree detecting apparatus for a motor winding according to an embodiment;
FIG. 4 is a block diagram showing a first schematic configuration of a deterioration degree detecting apparatus of a winding of a motor in one embodiment;
FIG. 5 is a second schematic configuration block diagram of a deterioration degree detecting apparatus of a winding of a motor in one embodiment;
FIG. 6 is a third schematic configuration block diagram of a deterioration degree detecting apparatus of a motor winding in one embodiment;
FIG. 7 is a diagram of a resistance spectrum in one embodiment;
FIG. 8 is a schematic diagram of an inductance spectrum in one embodiment;
FIG. 9 is a diagram of capacitance spectra in one embodiment;
FIG. 10 is a schematic diagram of the phase angle spectrum in one embodiment;
FIG. 11 is a schematic diagram of a loss spectrum in one embodiment;
FIG. 12 is a diagram of a resistance impedance spectrum in one embodiment;
FIG. 13 is an impedance spectrum of a stator winding of 8 traction motors before overhaul in one embodiment;
FIG. 14 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are set forth in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, a first resistance may be referred to as a second resistance, and similarly, a second resistance may be referred to as a first resistance, without departing from the scope of the present application. The first resistance and the second resistance are both resistances, but they are not the same resistance.
It is to be understood that "connection" in the following embodiments is to be understood as "electrical connection", "communication connection", and the like if the connected circuits, modules, units, and the like have communication of electrical signals or data with each other.
As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises/comprising," "includes" or "including," etc., specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.
At present, traditional preventive tests adopted for overhauling a direct current traction motor winding mainly comprise insulation resistance tests, direct current tests, alternating current withstand voltage tests and the like, but the insulation resistance tests, the direct current tests, the alternating current withstand voltage tests and the like have single data, can extract less information, cannot comprehensively reflect the insulation state of the traction motor, has certain destructiveness, and belongs to a destructive detection method. The method for detecting the degradation degree of the motor winding can effectively solve the problems.
In one embodiment, as shown in fig. 1, there is provided a method for detecting a deterioration degree of a winding of a motor, including the steps of:
s110, acquiring LCR parameters of a motor winding to be tested at each preset test frequency;
the LCR parameters comprise any one or any combination of the following parameters: inductance, capacitance, resistance, phase angle, loss, and impedance. The motor winding to be tested comprises a motor stator winding and a motor rotor winding. The preset test frequency is the output current frequency when the motor winding to be tested is tested.
Specifically, any means in the field can be adopted to obtain the LCR parameters of the motor winding to be tested at each preset test frequency. In one specific example, the to-be-tested motor winding may be tested by an LCR tester to obtain an LCR parameter. Under the condition that the motor winding to be detected comprises a motor stator winding and a motor rotor winding, the motor stator winding and the motor rotor winding can be respectively detected to obtain LCR parameters of the motor stator winding and the motor rotor winding. And testing by adopting each preset testing frequency to obtain the LCR parameters of the motor stator winding under each preset testing frequency and the LCR parameters of the electronic rotor winding under each preset testing frequency. In one embodiment, each predetermined test frequency falls within the interval of 20Hz to 10 MHz.
S120, generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency;
specifically, a spectrum characteristic curve can be generated by any means according to each LCR parameter and the corresponding preset test frequency. That is, each LCR parameter has a corresponding preset test frequency, and the test frequency is taken as the X axis, and the LCR parameter is taken as the Y axis, so as to generate a spectrum characteristic curve. If the types of the LCR parameters are multiple, that is, the LCR parameters may include inductance, resistance, capacitance, and the like, multiple spectral characteristic curves are generated. Such as inductance-frequency curves, resistance-frequency curves, capacitance-frequency curves, phase angle-frequency curves, loss-frequency curves, and impedance-frequency curves. In one particular example, the spectral characteristic is an impedance spectral curve.
S130, extracting a curve of a preset frequency band in the frequency spectrum characteristic curve, and acquiring a maximum parameter value according to the curve of the preset frequency band;
specifically, the step of extracting a curve of a preset frequency band from the spectrum characteristic curve and obtaining the maximum parameter value according to the curve of the preset frequency band may include: acquiring a specific frequency spectrum characteristic curve containing most characteristic information according to each frequency spectrum characteristic curve; and extracting a curve of a preset frequency band in the specific frequency characteristic curve, and acquiring a maximum parameter value according to the curve of the preset frequency band. In one specific example, the specific spectral characteristic curve containing the most characteristic information is an impedance spectral curve.
In another embodiment, the step of extracting a curve of a preset frequency band in the spectrum characteristic curve and obtaining the maximum parameter value according to the curve of the preset frequency band may include: and respectively extracting curves of preset frequency bands in an inductance-frequency curve, a resistance-frequency curve, a capacitance-frequency curve, a phase angle-frequency curve, a loss-frequency curve and an impedance-frequency curve, and then respectively acquiring corresponding maximum parameter values. It should be noted that the preset frequency band may be obtained according to the specific spectrum characteristic curve, for example, the frequency band with the largest parameter value variation is selected. In one specific example, the preset frequency band is 105-106. Further, the maximum parameter value in the curve of the preset frequency band may be obtained according to any means in the field, which is not specifically limited herein.
And S140, processing the maximum parameter value and the preset reference value to obtain the degradation degree of the motor winding to be detected.
Specifically, the maximum parameter value and the preset reference value may be processed by any means. In a specific example, the step of processing the maximum parameter value and the preset reference value to obtain the degradation degree of the winding of the motor to be tested may include: and processing the maximum parameter value in the specific spectrum characteristic curve and a preset reference value to obtain the degradation degree. The preset reference value corresponds to a parameter of a specific spectral characteristic curve. If the specific frequency spectrum curve is an inductance-frequency curve, presetting a reference value as the reference value of the inductance; if the specific frequency spectrum curve is a resistance-frequency curve, presetting a reference value as a reference value of the resistance; if the specific frequency spectrum curve is a capacitance-frequency curve, presetting a reference value as a reference value of the capacitance; if the specific frequency spectrum curve is a phase angle-frequency curve, presetting a reference value as a reference value of the phase angle; if the specific frequency spectrum curve is a loss-frequency curve, presetting a reference value as a reference value of loss; if the specific frequency spectrum curve is an impedance-frequency curve, the preset reference value is a reference value of the impedance. In a specific example, in the step of processing the maximum parameter value and the preset reference value to obtain the degradation degree of the winding of the motor to be tested, the degradation degree is obtained based on the following formula:
wherein DD is the degree of deterioration; zmaxIs the maximum parameter value; z0maxIs a preset reference value.
In another specific example, the step of processing the maximum parameter value and the preset reference value to obtain the degradation degree of the motor winding to be tested may include:
processing the maximum parameter value of the inductance-frequency curve and an inductance reference value to obtain a first degradation degree; processing the maximum parameter value of the resistance-frequency curve and the resistance reference value to obtain a second degradation degree; processing the maximum parameter value of the capacitance-frequency curve and the capacitance reference value to obtain a third degradation degree; processing the maximum parameter value of the phase angle-frequency curve and the phase angle reference value to obtain a fourth deterioration degree; processing the maximum parameter value and the loss reference value of the loss-frequency curve to obtain a fifth degradation degree; processing the maximum parameter value of the impedance-frequency curve and the impedance reference value to obtain a sixth degradation degree; and then processing the first deterioration degree, the second deterioration degree, the third deterioration degree, the fourth deterioration degree, the fifth deterioration degree and the sixth deterioration degree to obtain the deterioration degree of the motor winding to be tested. The step of processing the first degradation degree, the second degradation degree, the third degradation degree, the fourth degradation degree, the fifth degradation degree and the sixth degradation degree may be performed by any data means, for example, an average value of the degradation degrees may be used as the degradation degree of the motor winding.
The method for detecting the degradation degree of the motor winding makes up the vacancy of the method for detecting the degradation degree of the direct-current traction motor winding. Compared with the traditional test means, the nondestructive measurement of the degradation degree of the motor winding can be realized; this method contains more information than the dielectric parameter test method at a single frequency. Meanwhile, according to LCR frequency spectrum characteristic analysis, a data evaluation system of the degradation degree of the traction motor winding can be perfected, train overhaul service can be better served, reference can be provided for optimization of locomotive overhaul regulations, and the purpose of state overhaul is finally achieved.
In one embodiment, as shown in fig. 2, there is provided a step of obtaining a preset reference value, including:
s210, acquiring blank LCR parameters of the new machine under each preset test frequency;
specifically, the blank LCR parameters include any one or any combination of the following parameters: inductance, capacitance, resistance, phase angle, loss, and impedance. Specifically, any means in the art can be adopted to obtain the LCR parameters of the new machine at each preset test frequency. In one specific example, the to-be-tested motor winding may be tested by an LCR tester to obtain an LCR parameter. Under the condition that the motor winding to be detected comprises a motor stator winding and a motor rotor winding, the motor stator winding and the motor rotor winding can be respectively detected to obtain LCR parameters of the motor stator winding and the motor rotor winding.
S220, generating a blank frequency spectrum characteristic curve according to each blank LCR parameter and the corresponding preset test frequency;
specifically, a spectrum characteristic curve can be generated by any means according to each blank LCR parameter and the corresponding preset test frequency. That is, each blank LCR parameter has a corresponding preset test frequency, and a spectrum characteristic curve is generated by taking the test frequency as an X axis and the blank LCR parameter as a Y axis. If the types of the dummy LCR parameters are multiple, that is, the dummy LCR parameters may include inductance, resistance, capacitance, and the like, multiple spectral characteristic curves are generated.
And S230, extracting a blank curve of a preset frequency band in the blank spectrum characteristic curve, and acquiring a preset reference value according to the blank curve.
Specifically, the step of extracting a white space curve of a preset frequency band in the white space spectrum characteristic curve and obtaining a preset reference value according to the white space curve may include: acquiring a reference spectrum characteristic curve containing most characteristic information according to each blank spectrum characteristic curve; and extracting a blank curve of a preset frequency band in the reference frequency characteristic curve, and acquiring a preset reference value according to the blank curve of the preset frequency band.
In another embodiment, the step of extracting a white space curve of a preset frequency band in the white space spectrum characteristic curve and obtaining a preset reference value according to the white space curve may include: blank curves of preset frequency bands in an inductance-frequency curve, a resistance-frequency curve, a capacitance-frequency curve, a phase angle-frequency curve, a loss-frequency curve and an impedance-frequency curve are respectively extracted, and then each preset reference value corresponding to each blank curve is respectively obtained. Furthermore, when the maximum parameter value and each preset reference value are processed, only the type of the maximum parameter value needs to be judged, and the maximum parameter value and the preset reference value of the same type need to be processed. That is, if the maximum parameter value is the resistance parameter, the preset reference value is also obtained from the resistance-frequency curve, corresponding to the resistance parameter.
It should be noted that the preset frequency band may be obtained according to the specific spectrum characteristic curve, for example, the frequency band with the largest parameter value variation is selected.
In one embodiment, the step of obtaining the LCR parameters of the winding of the motor to be tested at each preset test frequency includes:
outputting an instruction to the LCR measuring instrument; the instruction is used for instructing the LCR measuring instrument to set the output frequency according to each preset testing frequency, and the LCR parameters corresponding to each preset testing frequency are respectively obtained after the setting is finished.
Specifically, the LCR parameters under each preset test frequency are obtained by controlling an LCR measuring instrument to test. And the LCR measuring instrument sets the output frequency to be each preset testing frequency according to the instruction, tests by adopting each preset testing frequency and obtains each LCR parameter.
It should be understood that although the various steps in the flow charts of fig. 1-2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 3, there is provided a degradation degree detection apparatus of a motor winding, including:
the acquisition module is used for acquiring LCR parameters of the motor winding to be tested at each preset test frequency;
the curve generation module is used for generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency;
the extraction module is used for extracting a curve of a preset frequency band in the spectrum characteristic curve and acquiring a maximum parameter value according to the curve of the preset frequency band;
and the degradation degree generation module is used for processing the maximum parameter value and the preset reference value to obtain the degradation degree of the motor winding to be tested.
In one embodiment, there is provided a degradation degree detection apparatus of a motor winding, further including:
the parameter acquisition module is used for acquiring blank LCR parameters of the new machine under each preset test frequency;
a blank curve generation module, configured to generate a blank spectrum characteristic curve according to each blank LCR parameter and a corresponding preset test frequency;
and the reference value acquisition module is used for extracting a blank curve of the preset frequency band in the blank spectrum characteristic curve and acquiring the preset reference value according to the blank curve.
For specific limitations of the degradation degree detection device, reference may be made to the above limitations of the degradation degree detection method, which are not described herein again. Each module in the degradation degree detection apparatus may be entirely or partially implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, as shown in fig. 4, an embodiment of the present invention further provides a degradation degree detection apparatus for a motor winding, including an LCR meter, a processor, and a memory, for detecting the motor winding to be detected; the memory stores a computer program; the steps of any of the methods described above are implemented when the computer program is executed by a processor.
The LCR measuring instrument may be any LCR measuring instrument in the field, and the type and the like are not limited herein. In one example, the processor obtains LCR parameters of the motor winding to be tested at each preset test frequency; then the processor generates a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency; the processor extracts a curve of a preset frequency band in the spectrum characteristic curve and obtains a maximum parameter value according to the curve of the preset frequency band; and finally, processing the maximum parameter value and a preset reference value by a processor to obtain the degradation degree of the motor winding to be tested.
In one embodiment, as shown in fig. 5, the testing device further comprises a testing box for accommodating the motor winding to be tested, a temperature sensor for detecting the temperature inside the testing box and a humidity sensor for detecting the humidity inside the testing box.
Specifically, the test box is used for keeping the consistency of temperature and humidity of the motor winding to be tested in the test process, so that the inaccuracy of LCR parameters caused by environmental factors is avoided.
To further illustrate the degradation detection method of the present application, the following description is further provided with specific reference to a specific example:
specifically, the degradation degree detection method includes the steps of:
the first step is as follows: selection of test prototypes
As shown in fig. 6, a test object is selected as a ZD114A type traction motor 5, direct current traction motors before and after overhaul of an SS4B electric locomotive are selected, before a test is started, the motor winding 4 is firstly subjected to pretreatment, cleaning and dust removal, the motor windings 4 with different degradation degrees are obtained, and a prototype before overhaul is divided into eight groups, which are respectively numbered as 1# (200606-17), 2# (200605-38), 3# (200805-.
The second step is that: LCR parameter determination of test prototype
The test sample machine is placed in a large-scale temperature and humidity measuring test box 1, the temperature sensor 6 and the humidity sensor 7 are adopted to measure the current ambient temperature and humidity, the LCR measuring instrument 3 is utilized to match with the connecting wire and the clamp 2 to measure and calculate the inductance L, the capacitance C, the resistance R, the PHASE angle PHASE, the loss D and the impedance Z of the stator winding of the test sample machine under the conditions of 20 Hz-10 MHz and 1V. The instruments required for the test are as follows: the LCR tester 3 has the test frequency of 20 Hz-10 MHz, the measurement drive level of 10 mV-2V, the basic measurement accuracy of 0.1 percent and the model of LCR-8110G. The large-scale test box 1 is used for standing and storing test prototypes, so that the environment of the prototypes is ensured to be good as much as possible, and the dustproof level reaches the standard. And the temperature sensor 6 is used for acquiring the environmental temperature data of the stator winding of the test prototype and measuring the environmental temperature. Humidity sensor 7: the device is used for collecting the environmental humidity data of the stator winding of the test prototype and measuring the environmental humidity. Connecting wire and anchor clamps 2: the connecting device is used for connecting the LCR measuring instrument 3 and the stator winding of the test prototype, so that the LCR measuring instrument 3 and the stator winding of the test prototype can be reliably connected.
The third step: prototype winding degradation determination
Combining the ambient temperature measured by the temperature sensor 6 and the ambient humidity measured by the humidity sensor 7, selecting a test frequency band of 20 Hz-10 MHz, and obtaining LCR frequency spectrum response data and characteristic curves of eight groups of pre-overhaul test motor stator windings under different frequencies (for convenience of explanation, corresponding frequency spectrogram of the traction motor stator windings is given as fig. 7, fig. 8, fig. 9, fig. 10, fig. 11 and fig. 12, which are respectively a resistance frequency spectrum, an inductance frequency spectrum, a capacitance frequency spectrum, a phase angle frequency spectrum, a loss frequency spectrum and an impedance frequency spectrum; through comparison, the impedance spectrum shows that the information of the parameters of resistance, inductance, capacitance, phase angle and loss is hidden, therefore, the impedance frequency spectrum which is the characteristic parameter capable of reflecting the insulation degradation degree of the traction motor most is selected as an effective characterization parameter of the insulation degradation of the traction motor.
In addition, after the test motor is overhauled, LCR frequency spectrum data and characteristic curves of the overhauled motor stator winding under different frequencies are acquired again, real-time environment temperature and environment humidity are acquired, the influence of the temperature and the humidity on the LCR frequency spectrum data and the characteristic curves is avoided, the LCR frequency spectrum characteristic curves of the test motor stator winding before and after overhauling are compared with a blank new machine, and the degradation degree of the direct-current traction motor winding 4 is judged. FIG. 13 shows the impedance spectrum of the stator winding of 8 traction motors before major repair, and it can be seen from the chart that the curve has little change in the low frequency band, mainly in the high frequency band (10)4-107) Changes occur significantly, especially at 105-106Most notably, peaks occur and are susceptible to interference from other operating equipment in the plant at low frequency. The rule of the new white space machine is similar to that of the new white space machine, and the peak value of the characteristic frequency band is higher and can reach 1600 omega. For this purpose, extract the high-frequency curve-10 in the impedance spectrum5-106And the curve of the frequency band takes the peak parameters of the frequency band and the like as characteristic parameters, and accordingly, the insulation degradation degree of the traction motor is determined. In addition, analysis shows that the aging degree is gradually increased along with the increase of the running time of the traction motor, and the impedance peak value of the high-frequency band is gradually reduced along with the aging degree. Accordingly, the determined insulation degradation degree DD of the traction motor is expressed by the formula 1Shown in the figure.
In the formula, ZmaxIs a stator winding of a traction motor before overhaul at a characteristic frequency band 105-106Maximum peak of, Z0maxIs a new stator winding of a traction motor in a characteristic frequency band 105-106The maximum peak value of (a). Further, the degree of deterioration of the insulation of the rotor winding of the traction motor can also be determined based on this principle.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 14. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a degradation detection method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 14 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring LCR parameters of a motor winding to be tested at each preset test frequency;
generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency;
extracting a curve of a preset frequency band in the spectrum characteristic curve, and acquiring a maximum parameter value according to the curve of the preset frequency band;
and processing the maximum parameter value and the preset reference value to obtain the degradation degree of the motor winding to be tested.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring blank LCR parameters of the new machine under each preset test frequency;
generating a blank frequency spectrum characteristic curve according to each blank LCR parameter and the corresponding preset test frequency;
and extracting a blank curve of a preset frequency band in the blank spectrum characteristic curve, and acquiring a preset reference value according to the blank curve.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
outputting an instruction to the LCR measuring instrument; the instruction is used for instructing the LCR measuring instrument to set the output frequency according to each preset testing frequency, and the LCR parameters corresponding to each preset testing frequency are respectively obtained after the setting is finished.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring LCR parameters of a motor winding to be tested at each preset test frequency;
generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency;
extracting a curve of a preset frequency band in the spectrum characteristic curve, and acquiring a maximum parameter value according to the curve of the preset frequency band;
and processing the maximum parameter value and the preset reference value to obtain the degradation degree of the motor winding to be tested.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring blank LCR parameters of the new machine under each preset test frequency;
generating a blank frequency spectrum characteristic curve according to each blank LCR parameter and the corresponding preset test frequency;
and extracting a blank curve of a preset frequency band in the blank spectrum characteristic curve, and acquiring a preset reference value according to the blank curve.
In one embodiment, the computer program when executed by the processor further performs the steps of:
outputting an instruction to the LCR measuring instrument; the instruction is used for instructing the LCR measuring instrument to set the output frequency according to each preset testing frequency, and the LCR parameters corresponding to each preset testing frequency are respectively obtained after the setting is finished.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus DRAM (RDRAM), and interface DRAM (DRDRAM).
In the description herein, references to the description of "some embodiments," "other embodiments," "desired embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, a schematic description of the above terminology may not necessarily refer to the same embodiment or example.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for detecting the deterioration degree of a motor winding is characterized by comprising the following steps:
acquiring LCR parameters of a motor winding to be tested at each preset test frequency;
generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency;
extracting a curve of a preset frequency band in the spectrum characteristic curve, and acquiring a maximum parameter value according to the curve of the preset frequency band;
and processing the maximum parameter value and a preset reference value to obtain the degradation degree of the motor winding to be tested.
2. The method of detecting a deterioration degree of a winding of an electric machine according to claim 1, further comprising the steps of:
acquiring blank LCR parameters of the new machine under each preset test frequency;
generating a blank frequency spectrum characteristic curve according to each blank LCR parameter and the corresponding preset test frequency;
and extracting a blank curve of the preset frequency band in the blank spectrum characteristic curve, and acquiring the preset reference value according to the blank curve.
3. The method for detecting the degradation degree of the motor winding according to claim 1, wherein the step of obtaining the LCR parameters of the motor winding to be tested at each preset test frequency comprises:
outputting an instruction to the LCR measuring instrument; the instruction is used for instructing the LCR measuring instrument to set an output frequency according to each preset testing frequency, and the LCR parameters corresponding to each preset testing frequency are respectively obtained after the setting is finished.
4. The method for detecting the degree of degradation of the motor winding according to claim 1, wherein in the step of obtaining the degree of degradation of the motor winding to be detected by processing the maximum parameter value and a preset reference value, the degree of degradation is obtained based on the following formula:
wherein DD is the degree of degradation; zmaxIs the maximum parameter value; z0maxIs the preset reference value.
5. The method of detecting deterioration of a winding of an electric machine according to claim 1, wherein the LCR parameter includes any one or any combination of the following parameters: inductance, capacitance, resistance, phase angle, loss, and impedance.
6. The method of detecting a deterioration degree of a winding of an electric motor according to claim 1, wherein each of the predetermined test frequencies falls within an interval of 20Hz to 10 MHz.
7. A degradation degree detection device for a motor winding, comprising:
the acquisition module is used for acquiring LCR parameters of the motor winding to be tested at each preset test frequency;
the curve generation module is used for generating a frequency spectrum characteristic curve according to each LCR parameter and the corresponding preset test frequency;
the extraction module is used for extracting a curve of a preset frequency band in the spectrum characteristic curve and acquiring a maximum parameter value according to the curve of the preset frequency band;
and the degradation degree generation module is used for processing the maximum parameter value and a preset reference value to obtain the degradation degree of the motor winding to be tested.
8. The equipment for detecting the degradation degree of the motor winding is characterized by comprising an LCR measuring instrument, a processor and a memory, wherein the LCR measuring instrument is used for detecting the motor winding to be detected; the memory stores a computer program; the processor, when executing the computer program, realizes the steps of the method of any one of claims 1 to 6.
9. The apparatus for detecting deterioration degree of motor winding according to claim 8, further comprising a test chamber for accommodating the motor winding to be tested, a temperature sensor for detecting the internal temperature of the test chamber, and a humidity sensor for detecting the internal humidity of the test chamber.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105182099A (en) * | 2015-06-17 | 2015-12-23 | 国家电网公司 | Transformer winding deformation degree and fault diagnosis method based on frequency response analysis method |
| CN105627904A (en) * | 2016-02-01 | 2016-06-01 | 国网浙江省电力公司电力科学研究院 | Method for determining deformation of transformer winding |
| CN107078690A (en) * | 2014-07-18 | 2017-08-18 | 伊玛齐斯技术有限责任公司 | The method and system of failure is detected and positioned in DC systems |
| CN107328860A (en) * | 2017-07-12 | 2017-11-07 | 华东理工大学 | A kind of lossless detection method of specimen surface residual stress |
| DE102018008251A1 (en) * | 2017-11-10 | 2019-05-16 | Sew-Eurodrive Gmbh & Co Kg | Method for detecting a movably arranged mobile part with secondary winding and system for carrying out a method |
| CN110645888A (en) * | 2019-10-18 | 2020-01-03 | 国网辽宁省电力有限公司抚顺供电公司 | Winding deformation judgment method based on frequency response analysis FRA |
| CN111273199A (en) * | 2018-12-05 | 2020-06-12 | 国网四川省电力公司眉山供电公司 | Intelligent detection method for transformer winding deformation based on sweep frequency impedance curve identification |
| CN111356064A (en) * | 2020-03-12 | 2020-06-30 | 广州天逸电子有限公司 | EQ parameter generation method adaptive to real-time frequency response curve |
-
2020
- 2020-08-21 CN CN202010852069.2A patent/CN112067992B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107078690A (en) * | 2014-07-18 | 2017-08-18 | 伊玛齐斯技术有限责任公司 | The method and system of failure is detected and positioned in DC systems |
| CN105182099A (en) * | 2015-06-17 | 2015-12-23 | 国家电网公司 | Transformer winding deformation degree and fault diagnosis method based on frequency response analysis method |
| CN105627904A (en) * | 2016-02-01 | 2016-06-01 | 国网浙江省电力公司电力科学研究院 | Method for determining deformation of transformer winding |
| CN107328860A (en) * | 2017-07-12 | 2017-11-07 | 华东理工大学 | A kind of lossless detection method of specimen surface residual stress |
| DE102018008251A1 (en) * | 2017-11-10 | 2019-05-16 | Sew-Eurodrive Gmbh & Co Kg | Method for detecting a movably arranged mobile part with secondary winding and system for carrying out a method |
| CN111273199A (en) * | 2018-12-05 | 2020-06-12 | 国网四川省电力公司眉山供电公司 | Intelligent detection method for transformer winding deformation based on sweep frequency impedance curve identification |
| CN110645888A (en) * | 2019-10-18 | 2020-01-03 | 国网辽宁省电力有限公司抚顺供电公司 | Winding deformation judgment method based on frequency response analysis FRA |
| CN111356064A (en) * | 2020-03-12 | 2020-06-30 | 广州天逸电子有限公司 | EQ parameter generation method adaptive to real-time frequency response curve |
Non-Patent Citations (5)
| Title |
|---|
| 刘君 等: "电介质频率响应法的变压器绝缘状态评估", 《绝缘材料》 * |
| 刘君 等: "电介质频率响应法的变压器绝缘状态评估", 《绝缘材料》, vol. 48, no. 01, 31 December 2015 (2015-12-31) * |
| 刘梦娜 等: "变压器绕组变形故障的诊断分析", 《广东电力》, vol. 25, no. 11, pages 108 - 111 * |
| 张宁 等: "频响阻抗法诊断变压器绕组变形*", 《电测与仪表》 * |
| 张宁 等: "频响阻抗法诊断变压器绕组变形*", 《电测与仪表》, vol. 53, no. 10, 25 May 2016 (2016-05-25), pages 32 - 38 * |
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