CN118501671B - Fault detection method and fault detection device for LC resonance circuit - Google Patents

Fault detection method and fault detection device for LC resonance circuit Download PDF

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CN118501671B
CN118501671B CN202410963270.6A CN202410963270A CN118501671B CN 118501671 B CN118501671 B CN 118501671B CN 202410963270 A CN202410963270 A CN 202410963270A CN 118501671 B CN118501671 B CN 118501671B
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fault
frequency characteristic
amplitude
phase
frequency
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CN118501671A (en
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万运强
胡丹丹
付裕
罗诗雨
邓艳菲
唐燕影
付豪
吴宇哲
张�杰
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JIANGXI VOCATIONAL COLLEGE OF MECHANICAL & ELECTRICAL TECHNOLOGY
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Abstract

The invention relates to the technical field of circuit detection, and discloses a fault detection method and a fault detection device of an LC resonance circuit, which respectively provide sweep frequency signals at an input positive end and an output positive end of the LC resonance circuit, and acquiring the response of the negative terminal, obtaining two sets of amplitude frequency and phase frequency characteristics, obtaining a plurality of fault ranges according to qualitative characteristics in the amplitude frequency and phase frequency characteristics, and obtaining a final fault type according to the intersection of the plurality of fault ranges. The fault detection method and the fault detection device for the LC resonance circuit can effectively and accurately locate various faults in the LC resonance circuit based on amplitude frequency and phase frequency characteristics through qualitative analysis and reverse excitation analysis, are not influenced by specific parameters of elements in the resonance circuit, can be suitable for fault detection of the LC resonance circuit with different parameters, and have strong universality.

Description

Fault detection method and fault detection device for LC resonance circuit
Technical Field
The present invention relates to the field of electronic circuit fault detection technology, and in particular, to a fault detection method and a fault detection device for an LC resonant circuit.
Background
LC resonant circuits, which are composed of an inductor and a capacitor, are commonly used for resonance, filtering, and impedance matching in radio frequency devices to improve the transceiving quality of radio frequency signals, and play an important role in the fields of broadcasting, communication, and electronic countermeasure.
The resonant module formed by multistage series connection of the LC resonant circuits can effectively improve effects of resonance, filtering, impedance matching and the like, has a good application prospect, however, as the elements are increased, the failure rate is increased, when a failure occurs, the resonant module is entirely replaced, or the failed element is replaced at a fixed point, wherein the cost of the whole replacement is high, particularly in high-power application, the cost of each element is high, and the cost of the whole replacement is high.
In order to realize detection and positioning of fault elements, the traditional method is to disassemble and measure elements in a network, so that the method has blindness, and the disassembly and measurement workload is large and is very inconvenient due to large volumes of high-power inductors and capacitors; or providing excitation signals with specific frequency to obtain output responses of the resonance module under various fault conditions, obtaining a fault comparison table according to the output responses, providing excitation signals with specific frequency according to the fault comparison table during testing, collecting the output responses, and comparing the output responses with the fault comparison table to obtain actual faults, wherein one table is low in universality, and the actual performance of each element is offset due to aging, so that the actually detected output responses are different from the content of the fault comparison table, and the actual detection accuracy is low.
Disclosure of Invention
Based on the above, the invention aims to provide a fault detection method and a fault detection device for an LC resonance circuit, so as to solve the problems of inconvenient operation and insufficient detection accuracy of the fault detection of the LC resonance circuit in the prior art.
In one aspect, the present invention provides a fault detection method for an LC resonant circuit, where the LC resonant circuit includes at least one inductor connected in series between an input positive terminal and an output positive terminal, and an intermediate node between the inductors, the input positive terminal, and the output positive terminal are respectively connected to a negative terminal through a capacitor, and the fault detection method includes:
Collecting a first amplitude-frequency characteristic, a second amplitude-frequency characteristic, a first phase-frequency characteristic and a second phase-frequency characteristic according to a preset sequence, wherein the collecting points of the first amplitude-frequency characteristic and the first phase-frequency characteristic are the input positive end to the negative end, and the collecting points of the second amplitude-frequency characteristic and the second phase-frequency characteristic are the output positive end to the negative end;
according to the first amplitude-frequency characteristic, the second amplitude-frequency characteristic, the first phase-frequency characteristic and the second phase-frequency characteristic, respectively and synchronously obtaining a first fault range, a second fault range, a third fault range and a fourth fault range;
obtaining a final fault type according to the intersection of the first fault range, the second fault range, the third fault range and the fourth fault range;
The step of obtaining the corresponding fault range according to the amplitude-frequency characteristic comprises the following steps: obtaining a corresponding fault range according to the amplitude-frequency qualitative characteristic of the amplitude-frequency characteristic and a preset amplitude-frequency fault table;
the step of obtaining the corresponding fault range according to the phase frequency characteristics comprises the following steps: and obtaining a corresponding fault range according to the phase frequency qualitative characteristic of the phase frequency characteristic and a preset phase frequency fault table.
Optionally, the step of obtaining the final fault type from the intersection of the first, second, third and fourth fault ranges further comprises:
When any fault range among the first fault range, the second fault range, the third fault range and the fourth fault range is obtained according to the preset sequence, a fifth fault range is obtained according to the intersection of the obtained fault ranges, and the number of fault types in the fifth fault range is judged;
Stopping the collection of amplitude frequency characteristics and phase frequency characteristics when the number of the fault types in the fifth fault range is unique, and taking the fault types in the fifth fault range as final fault types;
And when the number of the fault types in the fifth fault range is not the same, continuing to acquire the amplitude frequency characteristic and the phase frequency characteristic until the amplitude frequency characteristic and the phase frequency characteristic are acquired, and taking each fault type in the final fifth fault range as a final fault type.
Optionally, the amplitude-frequency qualitative feature includes a number of peaks and a number of valleys.
Optionally, the phase frequency qualitative feature comprises a step direction and a step amplitude of each step.
Optionally, the method further comprises:
Carrying out symmetry verification on the first amplitude-frequency characteristic and the second amplitude-frequency characteristic according to the final fault type and the amplitude-frequency fault table, and when the symmetry verification fails, acquiring the first amplitude-frequency characteristic and the second amplitude-frequency characteristic again so as to execute judgment of the final fault type again;
and carrying out symmetry verification on the first phase frequency characteristic and the second phase frequency characteristic according to the final fault type and the phase frequency fault table, and re-collecting the first phase frequency characteristic and the second phase frequency characteristic when the symmetry verification fails so as to re-execute judgment of the final fault type.
The invention also provides a fault detection device of an LC resonant circuit, the LC resonant circuit including at least one inductor connected in series between an input positive terminal and an output positive terminal, an intermediate node between the inductors, the input positive terminal, and the output positive terminal being connected to a negative terminal through a capacitor, respectively, the fault detection device comprising: the system comprises an acquisition module and a data analysis module, wherein,
The acquisition module is used for acquiring a first amplitude-frequency characteristic, a second amplitude-frequency characteristic, a first phase-frequency characteristic and a second phase-frequency characteristic according to a preset sequence, wherein acquisition points of the first amplitude-frequency characteristic and the first phase-frequency characteristic are the input positive end to the negative end, and acquisition points of the second amplitude-frequency characteristic and the second phase-frequency characteristic are the output positive end to the negative end;
The data analysis module is used for synchronously obtaining a first fault range, a second fault range, a third fault range and a fourth fault range according to the first amplitude-frequency characteristic, the second amplitude-frequency characteristic, the first phase-frequency characteristic and the second phase-frequency characteristic respectively;
The data analysis module is further used for obtaining a final fault type according to the intersection of the first fault range, the second fault range, the third fault range and the fourth fault range;
the data analysis module is further configured to: obtaining a corresponding fault range according to the amplitude-frequency qualitative feature of the amplitude-frequency feature and a preset amplitude-frequency fault table, and obtaining a corresponding fault range according to the phase-frequency qualitative feature of the phase-frequency feature and a preset phase-frequency fault table.
Optionally, the data analysis module is further configured to:
When any fault range among the first fault range, the second fault range, the third fault range and the fourth fault range is obtained according to the preset sequence, a fifth fault range is obtained according to the intersection of the obtained fault ranges, and the number of fault types in the fifth fault range is judged;
When the number of the fault types in the fifth fault range is unique, controlling the acquisition module to stop acquisition of amplitude frequency characteristics and phase frequency characteristics, and taking the fault type in the fifth fault range as a final fault type;
And when the number of the fault types in the fifth fault range is not the same, continuing to acquire the amplitude frequency characteristic and the phase frequency characteristic until the amplitude frequency characteristic and the phase frequency characteristic are acquired, and taking each fault type in the final fifth fault range as a final fault type.
Optionally, the amplitude-frequency qualitative feature includes a number of peaks and a number of valleys.
Optionally, the phase frequency qualitative feature comprises a step direction and a step amplitude of each step.
Optionally, the data analysis module is further configured to:
Carrying out symmetry verification on the first amplitude-frequency characteristic and the second amplitude-frequency characteristic according to the final fault type and the amplitude-frequency fault table, and controlling the acquisition module to acquire the first amplitude-frequency characteristic and the second amplitude-frequency characteristic again when the symmetry verification fails so as to execute judgment of the final fault type again;
And carrying out symmetry verification on the first phase frequency characteristic and the second phase frequency characteristic according to the final fault type and the phase frequency fault table, and controlling the acquisition module to acquire the first phase frequency characteristic and the second phase frequency characteristic again when the symmetry verification fails so as to execute judgment of the final fault type again.
The fault detection method of the LC resonance circuit provided by the invention is characterized in that full-frequency excitation signals are respectively provided at the input positive end and the output positive end of the LC resonance circuit, responses of the negative end are acquired, two sets of amplitude frequency characteristics and two sets of phase frequency characteristics are obtained, a plurality of fault ranges are obtained according to qualitative characteristics in the amplitude frequency characteristics and the phase frequency characteristics, and then a final fault type is obtained according to intersection of the plurality of fault ranges, wherein the qualitative characteristics are not influenced by specific parameters of elements in the resonance circuit, various faults of the LC resonance circuit with the same or different parameters can be accurately represented, and the faults with mirror symmetry and similar faults can be effectively distinguished according to the difference of the amplitude frequency characteristics and the phase frequency characteristics and the response difference of the two excitation inputs of the input positive end and the output positive end, so that the fault positioning precision is ensured. The fault detection method of the LC resonance circuit provided by the invention can effectively and accurately locate various faults in the LC resonance circuit through qualitative analysis and reverse excitation analysis, provides convenience for fault detection of the multistage LC series resonance circuit, is not influenced by specific parameters of each element in the resonance circuit, can be suitable for fault detection of the LC resonance circuit with different parameters, and has strong universality.
Drawings
FIG. 1 is a schematic flow chart of a fault detection method of an LC resonance circuit in the present invention;
FIG. 2 is a schematic diagram of the main module structure of the fault detection device of the LC resonance circuit in the present invention;
FIG. 3 is a first amplitude-frequency characteristic of a3π LC resonant circuit in the present invention under normal conditions;
FIG. 4 is a first phase frequency characteristic of a3π LC resonant circuit in the present invention under normal conditions;
FIG. 5 is a first phase frequency characteristic of a 3π LC resonant circuit in the case of a C2 open circuit fault in the invention;
fig. 6 is a first phase frequency characteristic of a 3pi LC resonant circuit in the present invention in the case of a C3 open circuit fault.
The invention will be further described in the following detailed description in conjunction with the above-described figures.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. Several embodiments of the invention are presented in the figures. This invention 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.
It will be understood that when an element is referred to as being "mounted" on another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
In order to solve the problems of inconvenient operation and insufficient detection accuracy of the LC resonance circuit fault detection in the prior art, the invention provides a fault detection method of the LC resonance circuit, which is based on qualitative analysis, reverse excitation analysis and amplitude-frequency phase-frequency combined analysis for fault judgment, can effectively locate fault elements of the multi-stage series LC resonance circuit, is not influenced by specific parameters of the elements, does not need to detach the elements, and is convenient to operate.
Specifically, as shown in fig. 1 and fig. 2, the applicable LC resonant circuit includes at least one inductor connected in series between an input positive terminal a+ and an output positive terminal b+, where an intermediate node between the inductors, the input positive terminal, and the output positive terminal are respectively connected to a negative terminal through a capacitor, the first negative terminal a-and the second negative terminal B-are respectively used as negative terminals of the input device and the output device, and the two negative terminals are generally directly connected in parallel, and one of the two negative terminals is selected as an acquisition point interface in practical application, so that under normal conditions, the circuit structures between the input positive terminal and the output positive terminal are the same, and a multi-stage pi topology is formed, in this embodiment, mainly taking a3 pi topology as an example, a first inductor L1, a second inductor L2, and a third inductor L3 are sequentially connected in series between the input positive terminal and the output positive terminal, and four capacitance nodes between the input positive terminal and the output positive terminal are respectively provided with a first capacitor C1, a second capacitor C2, a third capacitor C3, and a fourth capacitor C4, and the fault detection method includes:
Step S01: collecting a first amplitude-frequency characteristic, a second amplitude-frequency characteristic, a first phase-frequency characteristic and a second phase-frequency characteristic according to a preset sequence, wherein the collecting points of the first amplitude-frequency characteristic and the first phase-frequency characteristic are the input positive end to the negative end, and the collecting points of the second amplitude-frequency characteristic and the second phase-frequency characteristic are the output positive end to the negative end;
step S02: according to the first amplitude-frequency characteristic, the second amplitude-frequency characteristic, the first phase-frequency characteristic and the second phase-frequency characteristic, respectively and synchronously obtaining a first fault range, a second fault range, a third fault range and a fourth fault range;
step S03: obtaining a final fault type according to the intersection of the first fault range, the second fault range, the third fault range and the fourth fault range;
The step of obtaining the corresponding fault range according to the amplitude-frequency characteristic comprises the following steps: obtaining a corresponding fault range according to the amplitude-frequency qualitative characteristic of the amplitude-frequency characteristic and a preset amplitude-frequency fault table;
the step of obtaining the corresponding fault range according to the phase frequency characteristics comprises the following steps: and obtaining a corresponding fault range according to the phase frequency qualitative characteristic of the phase frequency characteristic and a preset phase frequency fault table.
In step S01, the preset sequence may be according to the sequence of the first amplitude-frequency feature, the second amplitude-frequency feature, the first phase-frequency feature and the second phase-frequency feature, or the sequence of the first phase-frequency feature, the second phase-frequency feature, the first amplitude-frequency feature and the second amplitude-frequency feature, where the acquisition sequence does not affect the acquired data, and may be actually selected flexibly.
For some specific faults, the first amplitude-frequency feature, the second amplitude-frequency feature, the first phase-frequency feature and the second phase-frequency feature may be directly located, and when the faults are actually the faults, the continuous collection of other feature data may cause the waste of resources, so as to reduce the waste of detection resources, in this embodiment, step S02 further includes:
When any fault range among the first fault range, the second fault range, the third fault range and the fourth fault range is obtained according to the preset sequence, a fifth fault range is obtained according to the intersection of the obtained fault ranges, and the number of fault types in the fifth fault range is judged;
Stopping the collection of amplitude frequency characteristics and phase frequency characteristics when the number of the fault types in the fifth fault range is unique, and taking the fault types in the fifth fault range as final fault types;
And when the number of the fault types in the fifth fault range is not the same, continuing to acquire the amplitude frequency characteristic and the phase frequency characteristic until the amplitude frequency characteristic and the phase frequency characteristic are acquired, and taking each fault type in the final fifth fault range as a final fault type.
As shown in fig. 3 and fig. 4, the first amplitude frequency characteristic and the first phase frequency characteristic of the LC resonant circuit with the 3 pi type topology structure under normal conditions are respectively shown, the abscissa thereof is frequency, the bandwidth reaches 0to 1GHz, and the ordinate thereof is the ratio of output power to input power, and the difference of output phase to input phase.
The amplitude-frequency qualitative feature generally comprises the number of peaks and the number of valleys, the phase-frequency qualitative feature generally comprises the step direction and the step amplitude of each step, and in most types of faults, the number of steps in the phase-frequency qualitative feature is consistent with the sum of the number of peaks and the number of valleys of the amplitude-frequency feature, and the fault comparison table of single faults is as follows:
failure lookup table one:
Fault lookup table two:
the "up" of the step direction indicates a rising edge step, and the "down" indicates a falling edge step, and the fault comparison table is mainly a first amplitude-frequency feature and a first phase-frequency feature, and for the second amplitude-frequency feature and the second phase-frequency feature, the features can be obtained from the first amplitude-frequency feature and the first phase-frequency feature based on a symmetry principle, which is not described herein.
According to the fault comparison table, the C1 open circuit, the C4 short circuit, the L2 open circuit, the C3 short circuit and the C2 short circuit can be directly identified according to the peak number and the valley number of the first amplitude-frequency characteristic.
The number of peaks and the number of valleys of the L1 open circuit and the C1 short circuit in the first amplitude-frequency characteristic are the same and are 0, and at the moment, distinguishing judgment can be further carried out according to the second amplitude-frequency characteristic or the first phase-frequency characteristic, wherein in the first phase-frequency characteristic, the number of phase-frequency steps of the L1 open circuit and the C1 short circuit is different, and distinguishing can be realized; in the second amplitude-frequency characteristic, the symmetrical faults of the L1 open circuit are L3 open circuits, the number of peaks and the number of valleys are 2, the symmetrical faults of the C1 short circuit are C4 short circuits, the number of peaks and the number of valleys are 2 and 3 respectively, the symmetrical faults are different from the number of peaks and the number of valleys of the L3 open circuit, the distinction between the L1 open circuit and the C1 short circuit can be realized, and the distinction between other faults is the same.
The number and the number of peaks and the number of troughs in the first amplitude-frequency characteristic and the second amplitude-frequency characteristic, and the number and the step direction of the steps in the first phase-frequency characteristic and the second phase-frequency characteristic are the same, but as shown in fig. 5 and 6, the first phase-frequency characteristic in the open circuit of C2 and the first phase-frequency characteristic in the open circuit of C3 are respectively shown, the step amplitudes of the phase-frequency steps are different, the step amplitudes of the four phase-frequency steps in the open circuit of C2 are different, the difference is greater than 50%, the step amplitudes of the four phase-frequency steps in the open circuit of C3 are basically the same, and the distinction can be realized through the step amplitudes in the phase-frequency qualitative characteristic, wherein, for example, the judgment threshold value for judging whether the step amplitudes are the same or not is selected to be 50%, when the difference of the step amplitudes exceeds 50%, otherwise the step amplitudes are the same, other judgment thresholds can be selected according to specific conditions, and the application is not particularly limited.
Because the faults of the LC resonant circuit with the 3 pi topology structure are generally single faults, the above-mentioned single fault judgment is only shown, and the combination judgment of multiple faults can be provided according to specific requirements, for multiple faults, multiple faults can be foreseen, which comprise multiple completely symmetrical fault types, and for this reason, the fault detection method provided by the application and the fixed frequency quantitative detection in the prior art can not accurately judge, but the fault detection method provided by the application can still effectively reduce the range of the fault types, and provide convenience for other more accurate fault detection and positioning operations.
In order to improve the accuracy of judgment and reduce erroneous judgment, in this embodiment, the method further includes: carrying out symmetry verification on the first amplitude-frequency characteristic and the second amplitude-frequency characteristic according to the final fault type and the amplitude-frequency fault table, and when the symmetry verification fails, acquiring the first amplitude-frequency characteristic and the second amplitude-frequency characteristic again so as to execute judgment of the final fault type again; and carrying out symmetry verification on the first phase frequency characteristic and the second phase frequency characteristic according to the final fault type and the phase frequency fault table, and re-collecting the first phase frequency characteristic and the second phase frequency characteristic when the symmetry verification fails so as to re-execute judgment of the final fault type.
Specifically, for example, if the C1 open circuit is detected, the amplitude-frequency qualitative feature and the phase-frequency qualitative feature of the C1 open circuit and the C4 open circuit in the fault comparison table are compared with the amplitude-frequency qualitative feature and the phase-frequency qualitative feature in the actually obtained first amplitude-frequency feature and the first phase-frequency feature, and the amplitude-frequency qualitative feature and the phase-frequency qualitative feature in the second amplitude-frequency feature and the second phase-frequency feature respectively, when the comparison is consistent, the symmetry verification is judged to be successful, and when the comparison is failed, the symmetry verification is judged to be failed, the judgment of the final fault type is re-executed, so that the error occurs in single data acquisition, and the risk of detection error is reduced, thereby fully utilizing multiple groups of symmetrically acquired data, and improving the detection accuracy.
The invention also provides a fault detection device of the LC resonance circuit, which comprises a collection module 10 and a data analysis module 20, wherein the collection module 10 is used for providing full-frequency-band excitation signals and collecting output responses of the negative end of the resonance circuit so as to obtain amplitude frequency characteristics and phase frequency characteristics, and the data analysis module 20 obtains amplitude frequency qualitative characteristics and phase frequency qualitative characteristics according to the amplitude frequency characteristics and the phase frequency characteristics and then obtains final fault types by combining a preset fault comparison table. A current limiting resistor R0 is connected in series between the collection module 10 and the negative terminal of the LC resonant circuit, so as to avoid the risk of overcurrent during the detection of the short-circuit fault.
Specifically, the collection module 10 is configured to collect the first amplitude-frequency feature, the second amplitude-frequency feature, the first phase-frequency feature, and the second phase-frequency feature according to a preset sequence, where collection points of the first amplitude-frequency feature and the first phase-frequency feature are input positive to negative terminals, and collection points of the second amplitude-frequency feature and the second phase-frequency feature are output positive to negative terminals.
The data analysis module 20 is configured to synchronously obtain a first fault range, a second fault range, a third fault range, and a fourth fault range according to the first amplitude-frequency characteristic, the second amplitude-frequency characteristic, the first phase-frequency characteristic, and the second phase-frequency characteristic, respectively;
The data analysis module 20 is further configured to obtain a final fault type according to an intersection of the first fault range, the second fault range, the third fault range, and the fourth fault range;
The data analysis module 20 is also configured to: obtaining a corresponding fault range according to the amplitude-frequency qualitative feature of the amplitude-frequency feature and a preset amplitude-frequency fault table, and obtaining a corresponding fault range according to the phase-frequency qualitative feature of the phase-frequency feature and a preset phase-frequency fault table.
The data acquisition and analysis can be realized through a sweep generator, a phase discriminator, a full-frequency resonance signal generator, a singlechip, a voltage and current acquisition circuit and the like, and can be specifically selected according to the cost requirement.
After obtaining the final fault type, the data analysis module 20 may further display the detection result of the final fault type by display, voice broadcast, etc., and alert the completion of the detection by an indicator, an alarm, a voice player, etc.
To reduce the time and expense of data collection and analysis, the data analysis module 20 is also configured to: when any fault range of the first fault range, the second fault range, the third fault range and the fourth fault range is obtained according to a preset sequence, a fifth fault range is obtained according to the intersection of the obtained fault ranges, and the number of fault types in the fifth fault range is judged; when the number of the fault types in the fifth fault range is unique, controlling the acquisition module to stop acquisition of amplitude frequency characteristics and phase frequency characteristics, and taking the fault type in the fifth fault range as a final fault type; and when the number of the fault types in the fifth fault range is not the same, continuing to acquire the amplitude frequency characteristic and the phase frequency characteristic until the amplitude frequency characteristic and the phase frequency characteristic are acquired, and taking each fault type in the final fifth fault range as a final fault type. For some specific faults, the method can be directly judged according to part amplitude frequency characteristics and phase frequency characteristics without continuously consuming resources, so that the consumption of detection resources and time is reduced, and the detection efficiency is improved.
To improve detection accuracy, the data analysis module 20 is further configured to: carrying out symmetry verification on the first amplitude-frequency characteristic and the second amplitude-frequency characteristic according to the final fault type and the amplitude-frequency fault table, and controlling the acquisition module to acquire the first amplitude-frequency characteristic and the second amplitude-frequency characteristic again when the symmetry verification fails so as to execute judgment of the final fault type again; and carrying out symmetry verification on the first phase frequency characteristic and the second phase frequency characteristic according to the final fault type and the phase frequency fault table, and controlling the acquisition module to acquire the first phase frequency characteristic and the second phase frequency characteristic again when the symmetry verification fails so as to execute judgment of the final fault type again. Symmetry verification is performed by utilizing symmetry characteristics and phase frequency and amplitude frequency multi-element acquisition data, so that acquired multi-element data can be fully utilized, false detection risk caused by single acquisition errors is reduced, and detection accuracy is improved.
The fault detection method and the fault detection device for the LC resonance circuit provided by the invention are used for carrying out fault judgment based on qualitative analysis, reverse excitation analysis and amplitude-frequency phase-frequency combined analysis, can effectively locate the fault elements of the multistage series LC resonance circuit, are not influenced by specific parameters of the elements, do not need to detach the elements, and are convenient to operate.
Meanwhile, it can be understood that the application is not only applicable to the 3 pi type LC resonance circuit in the embodiment, but also can effectively judge specific fault types by adopting the fault detection method provided by the application according to the characteristic that the equivalent topological structures of various fault states under the input positive end and the output positive end are different and the phase frequency qualitative characteristic and the amplitude frequency qualitative characteristic of the LC resonance circuit are different.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means 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 present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing examples illustrate only a few specific embodiments of the invention, which are described in greater detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

Claims (6)

1. A fault detection method for an LC resonant circuit, wherein the LC resonant circuit includes at least one inductor connected in series between an input positive terminal and an output positive terminal, and an intermediate node between the inductors, the input positive terminal, and the output positive terminal are respectively connected to a negative terminal through a capacitor, the fault detection method comprising:
Collecting a first amplitude-frequency characteristic, a second amplitude-frequency characteristic, a first phase-frequency characteristic and a second phase-frequency characteristic according to a preset sequence, wherein the collecting points of the first amplitude-frequency characteristic and the first phase-frequency characteristic are the input positive end to the negative end, and the collecting points of the second amplitude-frequency characteristic and the second phase-frequency characteristic are the output positive end to the negative end;
according to the first amplitude-frequency characteristic, the second amplitude-frequency characteristic, the first phase-frequency characteristic and the second phase-frequency characteristic, respectively and synchronously obtaining a first fault range, a second fault range, a third fault range and a fourth fault range;
obtaining a final fault type according to the intersection of the first fault range, the second fault range, the third fault range and the fourth fault range;
Carrying out symmetry verification on the first amplitude-frequency characteristic and the second amplitude-frequency characteristic according to the final fault type and an amplitude-frequency fault table, and re-collecting the first amplitude-frequency characteristic and the second amplitude-frequency characteristic when the symmetry verification fails so as to re-execute judgment of the final fault type;
Carrying out symmetry verification on the first phase frequency characteristic and the second phase frequency characteristic according to the final fault type and the phase frequency fault table, and re-collecting the first phase frequency characteristic and the second phase frequency characteristic when the symmetry verification fails so as to re-execute judgment of the final fault type;
The step of obtaining the corresponding fault range according to the amplitude-frequency characteristic comprises the following steps: obtaining a corresponding fault range according to the amplitude-frequency qualitative characteristic of the amplitude-frequency characteristic and a preset amplitude-frequency fault table;
The step of obtaining the corresponding fault range according to the phase frequency characteristics comprises the following steps: obtaining a corresponding fault range according to the phase frequency qualitative characteristic of the phase frequency characteristic and a preset phase frequency fault table;
the step of obtaining a final fault type from the intersection of the first, second, third and fourth fault ranges further comprises:
When any fault range among the first fault range, the second fault range, the third fault range and the fourth fault range is obtained according to the preset sequence, a fifth fault range is obtained according to the intersection of the obtained fault ranges, and the number of fault types in the fifth fault range is judged;
Stopping the collection of amplitude frequency characteristics and phase frequency characteristics when the number of the fault types in the fifth fault range is unique, and taking the fault types in the fifth fault range as final fault types;
And when the number of the fault types in the fifth fault range is not the same, continuing to acquire the amplitude frequency characteristic and the phase frequency characteristic until the amplitude frequency characteristic and the phase frequency characteristic are acquired, and taking each fault type in the final fifth fault range as a final fault type.
2. The method of claim 1, wherein the amplitude-frequency qualitative feature comprises a number of peaks and a number of valleys.
3. The method of claim 1, wherein the phase frequency characterization feature comprises a step direction and a step magnitude of each step.
4. A fault detection device for an LC resonant circuit, the LC resonant circuit comprising at least one inductor connected in series between an input positive terminal and an output positive terminal, an intermediate node between the inductors, the input positive terminal, and the output positive terminal being connected to a negative terminal through a capacitor, respectively, the fault detection device comprising: the system comprises an acquisition module and a data analysis module, wherein,
The acquisition module is used for acquiring a first amplitude-frequency characteristic, a second amplitude-frequency characteristic, a first phase-frequency characteristic and a second phase-frequency characteristic according to a preset sequence, wherein acquisition points of the first amplitude-frequency characteristic and the first phase-frequency characteristic are the input positive end to the negative end, and acquisition points of the second amplitude-frequency characteristic and the second phase-frequency characteristic are the output positive end to the negative end;
The data analysis module is used for synchronously obtaining a first fault range, a second fault range, a third fault range and a fourth fault range according to the first amplitude-frequency characteristic, the second amplitude-frequency characteristic, the first phase-frequency characteristic and the second phase-frequency characteristic respectively;
The data analysis module is further used for obtaining a final fault type according to the intersection of the first fault range, the second fault range, the third fault range and the fourth fault range;
The data analysis module is further configured to: obtaining a corresponding fault range according to the amplitude-frequency qualitative feature of the amplitude-frequency feature and a preset amplitude-frequency fault table, and obtaining a corresponding fault range according to the phase-frequency qualitative feature of the phase-frequency feature and a preset phase-frequency fault table;
the data analysis module is further configured to:
When any fault range among the first fault range, the second fault range, the third fault range and the fourth fault range is obtained according to the preset sequence, a fifth fault range is obtained according to the intersection of the obtained fault ranges, and the number of fault types in the fifth fault range is judged;
When the number of the fault types in the fifth fault range is unique, controlling the acquisition module to stop acquisition of amplitude frequency characteristics and phase frequency characteristics, and taking the fault type in the fifth fault range as a final fault type;
when the number of the fault types in the fifth fault range is not the same, continuing to collect the amplitude frequency characteristic and the phase frequency characteristic until the amplitude frequency characteristic and the phase frequency characteristic are collected, and taking each fault type in the final fifth fault range as a final fault type;
Wherein, the data analysis module is further configured to:
Carrying out symmetry verification on the first amplitude-frequency characteristic and the second amplitude-frequency characteristic according to the final fault type and the amplitude-frequency fault table, and controlling the acquisition module to acquire the first amplitude-frequency characteristic and the second amplitude-frequency characteristic again when the symmetry verification fails so as to execute judgment of the final fault type again;
And carrying out symmetry verification on the first phase frequency characteristic and the second phase frequency characteristic according to the final fault type and the phase frequency fault table, and controlling the acquisition module to acquire the first phase frequency characteristic and the second phase frequency characteristic again when the symmetry verification fails so as to execute judgment of the final fault type again.
5. The fault detection device for an LC tank as recited in claim 4, wherein said amplitude-frequency qualitative feature comprises a number of peaks and a number of valleys.
6. The fault detection device for an LC tank as recited in claim 4, wherein said phase frequency characterization includes a step direction and a step magnitude for each step.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12000799B1 (en) * 2023-03-28 2024-06-04 Shandong University Digital, self-diagnosis, sensing intelligent layer integrating active and passive monitoring and method

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN86201598U (en) * 1986-03-17 1987-05-13 王经一 Staggering resonance filter and measure circuit utilizing discriminating phase tunning
CN102854437B (en) * 2012-08-22 2015-02-11 广东电网公司电力科学研究院 Fault line selection method of low current grounding system using time-frequency atom decomposition theory
CN105467259B (en) * 2015-11-16 2018-06-29 上海天马微电子有限公司 Detection circuit for detecting capacitance sensing line, capacitive touch screen and detection method
CN105866664A (en) * 2016-06-20 2016-08-17 金陵科技学院 Intelligent fault diagnosis method for analog circuit based on amplitude frequency features
CN206193106U (en) * 2016-11-30 2017-05-24 四川农业大学 RLC network amplitude -frequency parameter, phase frequency parameter detecting device
CN110531205B (en) * 2019-08-23 2021-05-28 华北电力科学研究院有限责任公司 Method and device for diagnosing and positioning turn-to-turn short circuit fault of generator rotor
CN111881781B (en) * 2020-07-09 2022-05-06 三峡大学 Transformer winding deformation classification method based on scanning impedance method and support vector machine
CN112507769B (en) * 2020-08-10 2023-10-27 北京化工大学 Bearing fault diagnosis method based on resonance enhancement characteristics of simulation sensor
WO2022107100A1 (en) * 2020-11-23 2022-05-27 Rayong Engineering And Plant Service Co., Ltd. Method and system for auto-detecting induction motor fault
CN112649758B (en) * 2021-01-19 2022-08-16 易事特集团股份有限公司 Open-circuit fault detection method and device and computer equipment
CN112964965A (en) * 2021-03-15 2021-06-15 哈尔滨理工大学 Cable fault type identification system based on frequency response
CN217060409U (en) * 2021-06-28 2022-07-26 Tcl空调器(中山)有限公司 PFC circuit fault detection device and frequency conversion equipment
CN114374446B (en) * 2021-12-23 2023-10-24 成都玖锦科技有限公司 Amplitude-phase characteristic measurement method based on pulse signals
CN115357083B (en) * 2022-04-22 2023-09-15 陕西电器研究所 Phase frequency consistency analog circuit optimization method
CN115598461A (en) * 2022-07-27 2023-01-13 云南电网有限责任公司曲靖供电局(Cn) Small current line fault type judgment method
CN116086296A (en) * 2022-11-18 2023-05-09 西南交通大学 Transformer winding axial displacement fault diagnosis method based on three-dimensional sweep frequency impedance curve analysis
CN115902695A (en) * 2022-11-24 2023-04-04 西南交通大学 Transformer winding short-circuit state detection method based on pulse frequency response curve characteristics
CN116466135A (en) * 2023-04-07 2023-07-21 中国科学院近代物理研究所 Method and device for measuring amplitude-frequency and phase-frequency response of radio frequency cavity
CN117310444B (en) * 2023-09-26 2024-05-07 广州向成电子科技有限公司 Fault state corresponding relation table manufacturing method, LC passive filter circuit fault detection method, detection equipment and storage medium
CN117706300B (en) * 2023-12-13 2024-07-12 西南交通大学 Transformer partial discharge state detection method based on pulse coupling injection
CN117538588B (en) * 2024-01-09 2024-04-02 深圳市鼎阳科技股份有限公司 Amplitude-frequency response and phase-frequency response compensation device, compensation method and oscilloscope
CN117880725B (en) * 2024-02-08 2024-06-28 上海傅里叶半导体有限公司 Speaker resonant frequency detection method and device and speaker fault detection system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12000799B1 (en) * 2023-03-28 2024-06-04 Shandong University Digital, self-diagnosis, sensing intelligent layer integrating active and passive monitoring and method

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