CN110545516A - Method and device for detecting faults of coil equipment - Google Patents
Method and device for detecting faults of coil equipment Download PDFInfo
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- CN110545516A CN110545516A CN201910724981.7A CN201910724981A CN110545516A CN 110545516 A CN110545516 A CN 110545516A CN 201910724981 A CN201910724981 A CN 201910724981A CN 110545516 A CN110545516 A CN 110545516A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R29/00—Monitoring arrangements; Testing arrangements
Abstract
The application is suitable for the technical field of power detection, and provides a method and a device for detecting faults of coil equipment, wherein the method comprises the following steps: acquiring information of equipment to be detected, and acquiring a reference range of signal parameters corresponding to the information of the equipment to be detected; determining target parameters from the reference range of the signal parameters; and generating a detection signal according with the target parameter through a signal generating device, and carrying out fault detection on the equipment to be detected by using the detection signal. By the method, the optimal detection signal can be determined, the optimal detection signal is utilized to detect the fault of the equipment to be detected, and the detection accuracy can be improved.
Description
Technical Field
the application relates to the technical field of power detection, in particular to a method and a device for detecting faults of coil equipment.
Background
In power equipment, coil equipment is common, and a winding coil is a main component of the coil equipment. Due to poor processing and winding processes, sudden load impact and the like, turn-to-turn short circuit faults of the winding coil can be caused.
In the method for detecting the failure of the coil equipment, detection signals are generally injected into two ends of a winding of the equipment to be detected respectively, and whether a short circuit exists in the winding is judged according to the signals reflected by the winding. Among them, the detection signal is a key factor affecting the detection accuracy and the diagnosis result. Currently, an effective detection signal optimization method is lacked, so that the optimal detection effect is difficult to achieve in actual detection.
disclosure of Invention
In view of this, embodiments of the present application provide a method and an apparatus for detecting a failure of a coil device, so as to solve the problem in the prior art that an optimal detection signal cannot be determined, resulting in low detection accuracy.
A first aspect of the embodiments of the present application provides a method for detecting a fault of a coil device, including:
Acquiring information of equipment to be detected, and acquiring a reference range of signal parameters corresponding to the information of the equipment to be detected;
Determining target parameters from the reference range of the signal parameters;
and generating a detection signal according with the target parameter through a signal generating device, and carrying out fault detection on the equipment to be detected by using the detection signal.
A second aspect of the embodiments of the present application provides a device for detecting a fault of a coil device, including:
The device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring the information of the device to be detected and acquiring the reference range of the signal parameter corresponding to the information of the device to be detected;
A determination unit, configured to determine a target parameter from a reference range of the signal parameter;
And the detection unit is used for generating a detection signal according with the target parameter through a signal generation device and carrying out fault detection on the equipment to be detected by using the detection signal.
A third aspect of embodiments of the present application provides a computer-readable storage medium storing a computer program that, when executed by one or more processors, performs the steps of the method provided by the first aspect of embodiments of the present application.
Compared with the prior art, the embodiment of the application has the advantages that:
According to the method, the reference range of the signal parameter corresponding to the information of the equipment to be detected is obtained by obtaining the information of the equipment to be detected, and the target parameter is determined from the reference range of the signal parameter; and then generating a detection signal according with the target parameter through a signal generating device, and carrying out fault detection on the equipment to be detected by using the detection signal. By the method, the determined optimal detection signal is used for carrying out fault detection on the equipment to be detected, so that the detection accuracy and the actual detection effect can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic implementation flowchart of a method for detecting a fault of a coil device according to an embodiment of the present application;
Fig. 2 is a schematic diagram of a detection apparatus for detecting a failure of a coil-type device according to an embodiment of the present application.
Detailed Description
in the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
it should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
in order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Fig. 1 is a schematic implementation flowchart of a method for detecting a failure of a coil device according to an embodiment of the present application, where as shown in the figure, the method may include the following steps:
step S101, obtaining information of equipment to be detected, and obtaining a reference range of signal parameters corresponding to the information of the equipment to be detected.
the information of the device to be tested may be parameters of factory information, such as type of the device, model of the device, rated voltage, rated current, rated capacity, number of turns of coil, impedance, and the like.
in practice, it is necessary to set in advance the correspondence between the information of the device and the reference range of the signal parameter. This correspondence may be set according to factory information of the device. For example, it is known from factory information of the device that the voltage that the device can withstand is 2V to 10V, and the detection signal that needs to be injected into the device is a square wave signal, then the signal parameter may be set to be a voltage, and accordingly, the reference range of the signal parameter is set to be 2V to 10V.
it should be noted that the above is only an example of the reference range, and the reference range, the type of the signal, the item of the signal parameter, and the like are not specifically limited. It is desirable to determine which parameters of the detected signal (e.g., frequency, amplitude, rise time, interval … …, etc.), to find the relevant parameter information from the device information, and to determine the reference range of the signal parameter of the detected signal based on the device parameter information.
And step S102, determining target parameters from the reference range of the signal parameters.
in one embodiment, the determining a target parameter from the reference range of signal parameters includes:
S21, acquiring N groups of candidate parameters based on the reference range of the signal parameters, wherein N is a natural number greater than 1.
S22, respectively generating the alternative signals corresponding to each group of alternative parameters, and respectively calculating the waveform distortion rate corresponding to each alternative signal to obtain N waveform distortion rates.
S23, using the candidate signal corresponding to the minimum waveform distortion rate of the N waveform distortion rates as the target signal, and using the candidate parameter corresponding to the target signal as the target parameter.
In one embodiment, the reference range of signal parameters may include a range of signal frequencies and a range of signal amplitudes. I.e. the signal parameters comprise the signal frequency and the signal amplitude.
for example, assuming that the model of the device to be detected is AAAA, the reference range of the corresponding signal parameter is: the range of signal frequency is 50 Hz-100 Hz, and the range of signal amplitude is 2V-10V.
Accordingly, each set of candidate parameters includes a signal frequency and a signal amplitude. Illustratively, there are 2 sets of candidate parameters, respectively (50Hz, 2V) and (100Hz, 10V). I.e. a candidate signal can be determined by a set of candidate parameters. N sets of candidate signals can be determined by N sets of candidate parameters.
It should be noted that N sets of candidate parameters need to satisfy the following conditions: the value of at least one signal parameter in each of the two sets of candidate parameters is different. For example, the values of the signal frequencies in (50Hz, 2V) and (100Hz, 2V) are different, and the condition is satisfied; the numerical values of the signal frequency and the signal amplitude in (50Hz, 2V) and (100Hz, 10V) are different and also meet the condition; the values of the signal frequency and the signal amplitude in (50Hz, 2V) and (50Hz, 2V) are the same and do not satisfy the condition.
In addition, in practical applications, the signal parameters may also include parameters other than signal frequency and signal amplitude. The embodiment of the present application is only an example of step S102, and the signal parameters and the like are not specifically limited.
In one embodiment, the step of obtaining N sets of candidate parameters based on the reference range of pulse parameters S21 may include the steps of:
And acquiring a preset frequency sampling interval, and performing frequency sampling according to the frequency sampling interval and the range of the signal frequency to obtain p sampling frequencies.
And acquiring a preset amplitude sampling interval, and carrying out amplitude sampling according to the amplitude sampling interval and the range of the signal amplitude to obtain q sampling amplitudes.
and combining each sampling frequency and each sampling amplitude into an alternative parameter to obtain N alternative parameters, wherein N is p × q.
For example, assume that the reference range of the signal parameter is: the range of signal frequency is 50 Hz-100 Hz, the range of signal amplitude is 2V-10V, the frequency sampling interval is 4, and the amplitude sampling interval is 1. After sampling, 11 sampling frequencies of 50Hz, 55Hz and 60Hz … … 100Hz and 5 sampling amplitudes of 2V, 4V, 6V, 8V and 10V can be obtained.
Then, each sampling frequency and each sampling amplitude are combined into an alternative parameter, and a total of 11 × 5 to 55 groups of alternative parameters of (50Hz, 2V), (50Hz, 4V), … …, (50Hz, 10V), … …, (55Hz, 2V), … …, (55Hz, 10V), … … and (100Hz, 10V) are obtained.
In one embodiment, S22, the calculating the waveform distortion rate corresponding to each candidate signal respectively may include the following steps:
And carrying out Fourier transform on the alternative signal to obtain a frequency spectrum waveform of the alternative signal.
and acquiring the intensity of a fundamental wave signal and the intensity of a preset number of harmonic signals from the frequency spectrum waveform.
by calculating the waveform distortion rate of the candidate signal.
Wherein, THD is the waveform distortion rate, a1 is the intensity of the fundamental wave signal, Am is the intensity of the m-th harmonic wave signal, m satisfies m-1 ═ H, and H is the preset number.
The waveform distortion rate is the sum of the harmonics in the signal divided by the fundamental, and can represent the severity of the harmonics. I.e., the lower the waveform distortion rate, the less severe the harmonics; and vice versa. For example, the larger the waveform distortion rate of the generator voltage, the greater the influence on the normal operation of the generator, i.e., the generator is prone to operational failure. Then, in the embodiment of the present application, the smaller the waveform distortion rate of the candidate signal, the smaller the interference to the final detection result, i.e., the more accurate the final detection result.
For example, assuming that the preset number is 3, m needs to satisfy m-1 ═ H, i.e., m should be equal to 4. Accordingly, where a2 is the intensity of the 2 nd harmonic signal, A3 is the intensity of the 3 rd harmonic signal, and a4 is the intensity of the 4 th harmonic signal.
In practical applications, the intensity of the first 10 or 20 harmonic signals is usually used for calculation.
In addition, the coincidence degree of the applied signals of different channels can be calculated and also used as a measuring reference index. Of course, there may be other measurement reference indexes, which are not limited herein.
and S103, generating a detection signal according with the target parameter through a signal generating device, and carrying out fault detection on the equipment to be detected by using the detection signal.
By the method, the detection signal with the lowest waveform distortion rate and the highest signal coincidence degree can be selected in the parameter range corresponding to the equipment to be detected, the equipment to be detected is subjected to fault detection by using the detection signal, the influence of the waveform distortion and the error of the detection signal on the detection result can be reduced, and the detection accuracy is further improved.
according to the method, the reference range of the signal parameter corresponding to the information of the equipment to be detected is obtained by obtaining the information of the equipment to be detected, and the target parameter is determined from the reference range of the signal parameter; and then generating a detection signal according with the target parameter through a signal generating device, and carrying out fault detection on the equipment to be detected by using the detection signal. By the method, the determined optimal detection signal is used for carrying out fault detection on the equipment to be detected, and the detection accuracy can be improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
fig. 2 is a schematic diagram of a device for detecting a failure in a coil-like device according to an embodiment of the present application, and for convenience of description, only a portion related to the embodiment of the present application is shown.
The device for detecting a failure of a coil device shown in fig. 2 may be a software unit, a hardware unit, or a combination of software and hardware unit built in an existing terminal device, may be integrated into the terminal device as an independent pendant, or may exist as an independent terminal device.
The coil equipment fault detection device 2 comprises:
The acquiring unit 21 is configured to acquire information of the device to be detected, and acquire a reference range of a signal parameter corresponding to the information of the device to be detected.
A determining unit 22 for determining a target parameter from the reference range of signal parameters.
and the detection unit 23 is used for generating a detection signal according with the target parameter through a signal generation device and carrying out fault detection on the equipment to be detected by using the detection signal.
optionally, the determining unit 22 includes:
And the acquisition module is used for acquiring N groups of alternative parameters based on the reference range of the signal parameters, wherein N is a natural number greater than 1.
and the generating module is used for respectively generating the alternative signals corresponding to each group of alternative parameters and respectively calculating the waveform distortion rate corresponding to each alternative signal to obtain N waveform distortion rates.
And the target module is used for taking the alternative signal corresponding to the minimum waveform distortion rate in the N waveform distortion rates as a target signal and taking the alternative parameter corresponding to the target signal as the target parameter.
Optionally, the reference range of the signal parameter includes a range of signal frequencies and a range of signal amplitudes.
accordingly, each set of candidate parameters includes a signal frequency and a signal amplitude.
Optionally, the obtaining module includes:
and the first sampling submodule is used for acquiring a preset frequency sampling interval and carrying out frequency sampling according to the frequency sampling interval and the range of the signal frequency to obtain p sampling frequencies.
And the second sampling submodule is used for acquiring a preset amplitude sampling interval and carrying out amplitude sampling according to the amplitude sampling interval and the range of the signal amplitude to obtain q sampling amplitudes.
And the combining submodule is used for combining each sampling frequency and each sampling amplitude into an alternative parameter to obtain N alternative parameters, wherein N is p × q.
optionally, the generating module includes:
And the transformation submodule is used for carrying out Fourier transformation on the alternative signal to obtain the frequency spectrum waveform of the alternative signal.
And the extraction submodule is used for acquiring the intensity of the fundamental wave signal and the intensity of the harmonic signals with preset number from the frequency spectrum waveform.
and the calculation sub-module is used for calculating the waveform distortion rate of the alternative signal.
wherein, THD is the waveform distortion rate, a1 is the intensity of the fundamental wave signal, Am is the intensity of the m-th harmonic wave signal, m satisfies m-1 ═ H, and H is the preset number.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In one embodiment of the present application, a terminal device is provided. The terminal device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor, when executing the computer program, implements the steps in the above-described embodiments of the method for detecting a rotor fault, such as steps S101 to S103 shown in fig. 1. Alternatively, the processor, when executing the computer program, implements the functions of the modules/units in the above-described device embodiments, such as the functions of the modules 21 to 23 shown in fig. 2.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device. For example, the computer program may be divided into an acquisition unit, a determination unit, and a detection unit, and each unit may specifically function as follows:
The acquisition unit is used for acquiring the information of the rotor to be detected and acquiring the reference range of the signal parameter corresponding to the information of the rotor to be detected.
a determining unit for determining a target parameter from the reference range of the signal parameter.
And the detection unit is used for generating a detection signal which accords with the target parameter through a signal generation device and carrying out fault detection on the rotor to be detected by using the detection signal.
optionally, the determining unit includes:
And the acquisition module is used for acquiring N groups of alternative parameters based on the reference range of the signal parameters, wherein N is a natural number greater than 1.
And the generating module is used for respectively generating the alternative signals corresponding to each group of alternative parameters and respectively calculating the waveform distortion rate corresponding to each alternative signal to obtain N waveform distortion rates.
And the target module is used for taking the alternative signal corresponding to the minimum waveform distortion rate in the N waveform distortion rates as a target signal and taking the alternative parameter corresponding to the target signal as the target parameter.
Optionally, the reference range of the signal parameter includes a range of signal frequencies and a range of signal amplitudes.
Accordingly, each set of candidate parameters includes a signal frequency and a signal amplitude.
Optionally, the obtaining module includes:
and the first sampling submodule is used for acquiring a preset frequency sampling interval and carrying out frequency sampling according to the frequency sampling interval and the range of the signal frequency to obtain p sampling frequencies.
and the second sampling submodule is used for acquiring a preset amplitude sampling interval and carrying out amplitude sampling according to the amplitude sampling interval and the range of the signal amplitude to obtain q sampling amplitudes.
and the combining submodule is used for combining each sampling frequency and each sampling amplitude into an alternative parameter to obtain N alternative parameters, wherein N is p × q.
Optionally, the generating module includes:
And the transformation submodule is used for carrying out Fourier transformation on the alternative signal to obtain the frequency spectrum waveform of the alternative signal.
And the extraction submodule is used for acquiring the intensity of the fundamental wave signal and the intensity of the harmonic signals with preset number from the frequency spectrum waveform.
And the calculation sub-module is used for calculating the waveform distortion rate of the alternative signal.
Wherein, THD is the waveform distortion rate, a1 is the intensity of the fundamental wave signal, Am is the intensity of the m-th harmonic wave signal, m satisfies m-1 ═ H, and H is the preset number.
The terminal device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The terminal device may include, but is not limited to, a processor, a memory.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be an internal storage unit of the terminal device, such as a hard disk or a memory of the terminal device. The memory may also be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device. Further, the memory may also include both an internal storage unit and an external storage device of the terminal device. The memory is used for storing the computer program and other programs and data required by the terminal device. The memory may also be used to temporarily store data that has been output or is to be output.
in the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method for detecting faults of coil equipment is characterized by comprising the following steps:
acquiring information of equipment to be detected, and acquiring a reference range of signal parameters corresponding to the information of the equipment to be detected;
Determining target parameters from the reference range of the signal parameters;
And generating a detection signal according with the target parameter through a signal generating device, and carrying out fault detection on the equipment to be detected by using the detection signal.
2. The method for detecting faults of coil equipment according to claim 1, wherein the step of determining target parameters from the reference range of the signal parameters comprises:
Acquiring N groups of alternative parameters based on the reference range of the signal parameters, wherein N is a natural number greater than 1;
respectively generating alternative signals corresponding to each group of alternative parameters, and respectively calculating the waveform distortion rate corresponding to each alternative signal to obtain N waveform distortion rates;
And taking the alternative signal corresponding to the minimum waveform distortion rate in the N waveform distortion rates as a target signal, and taking the alternative parameter corresponding to the target signal as the target parameter.
3. The method of claim 2, wherein the reference range of signal parameters includes a range of signal frequencies and a range of signal amplitudes;
Accordingly, each set of candidate parameters includes a signal frequency and a signal amplitude.
4. The method for detecting faults of coil equipment according to claim 3, wherein the acquiring N sets of candidate parameters based on the reference range of the pulse parameters comprises:
Acquiring a preset frequency sampling interval, and performing frequency sampling according to the frequency sampling interval and the range of the signal frequency to obtain p sampling frequencies;
Acquiring a preset amplitude sampling interval, and carrying out amplitude sampling according to the amplitude sampling interval and the range of the signal amplitude to obtain q sampling amplitudes;
and combining each sampling frequency and each sampling amplitude into an alternative parameter to obtain N alternative parameters, wherein N is p × q.
5. The method for detecting faults of coil equipment according to claim 2, wherein the step of separately calculating the waveform distortion rate corresponding to each alternative signal comprises:
Carrying out Fourier transform on the alternative signal to obtain a frequency spectrum waveform of the alternative signal;
acquiring the intensity of fundamental wave signals and the intensity of a preset number of harmonic signals from the frequency spectrum waveform;
By calculating a waveform distortion rate of the candidate signal;
Wherein, THD is the waveform distortion rate, a1 is the intensity of the fundamental wave signal, Am is the intensity of the m-th harmonic wave signal, m satisfies m-1 ═ H, and H is the preset number.
6. A device for detecting a failure in a coil-type device, the device comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring the information of the device to be detected and acquiring the reference range of the signal parameter corresponding to the information of the device to be detected;
A determination unit, configured to determine a target parameter from a reference range of the signal parameter;
And the detection unit is used for generating a detection signal according with the target parameter through a signal generation device and carrying out fault detection on the equipment to be detected by using the detection signal.
7. The apparatus for detecting a failure in a coil-like device according to claim 6, wherein the determining unit comprises:
An obtaining module, configured to obtain N groups of candidate parameters based on a reference range of the signal parameter, where each group of candidate parameters includes a signal frequency and a signal amplitude, and N is a natural number greater than 1;
The generating module is used for respectively generating the alternative signals corresponding to each group of alternative parameters and respectively calculating the waveform distortion rate corresponding to each alternative signal to obtain N waveform distortion rates;
and the target module is used for taking the alternative signal corresponding to the minimum waveform distortion rate in the N waveform distortion rates as a target signal and taking the alternative parameter corresponding to the target signal as the target parameter.
8. The apparatus for detecting a failure in a coil-like device as claimed in claim 7, wherein the reference range of signal parameters includes a range of signal frequencies and a range of signal amplitudes;
Accordingly, each set of candidate parameters includes a signal frequency and a signal amplitude.
9. The apparatus for detecting a failure in a coil-like device according to claim 8, wherein the obtaining module comprises:
The first sampling submodule is used for acquiring a preset frequency sampling interval and carrying out frequency sampling according to the frequency sampling interval and the range of the signal frequency to obtain p sampling frequencies;
the second sampling submodule is used for acquiring a preset amplitude sampling interval and carrying out amplitude sampling according to the amplitude sampling interval and the range of the signal amplitude to obtain q sampling amplitudes;
and the combining submodule is used for combining each sampling frequency and each sampling amplitude into an alternative parameter to obtain N alternative parameters, wherein N is p × q.
10. a computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
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