CN110568311A - power distribution network fault recognition device and recognition method - Google Patents
power distribution network fault recognition device and recognition method Download PDFInfo
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- CN110568311A CN110568311A CN201910830048.8A CN201910830048A CN110568311A CN 110568311 A CN110568311 A CN 110568311A CN 201910830048 A CN201910830048 A CN 201910830048A CN 110568311 A CN110568311 A CN 110568311A
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- G—PHYSICS
- 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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- 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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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Abstract
the invention relates to a power distribution network fault identification device and method, which comprises the following steps: the MEMS electric field sensor, the signal processing module and the fault identification module are connected in sequence; the MEMS electric field sensor is used for acquiring a current signal corresponding to an induction electric field of a power distribution network line where the MEMS electric field sensor is located and sending the current signal to the signal processing module; the signal processing module is used for acquiring a voltage digital signal corresponding to the current signal and sending the voltage digital signal to the fault identification module; the fault identification module is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal; the invention judges the fault based on the signal acquired by the MEMS sensor, improves the accuracy of fault judgment, and has simple structure, small volume and convenient integrated use.
Description
Technical Field
the invention relates to the technical field of power distribution network fault identification, in particular to a power distribution network fault identification device and method.
background
along with the development of the power distribution network, the requirement on the reliability of the power distribution network is higher and higher. In order to improve the safe and reliable operation level of the power distribution network, the operation information of the power distribution network needs to be monitored in real time, whether the power distribution network has a fault or not is judged, fault identification is carried out, then, the fault location is further analyzed, and necessary control measures are taken. Therefore, accurate fault identification is the basis for guaranteeing reliable fault treatment of the power distribution network.
Wherein, whether the three-phase voltage is normal is an important basis for identifying the fault of the power distribution network. In the prior art, the phase voltage monitoring of the power distribution network mainly depends on an electromagnetic voltage transformer, a capacitance voltage-dividing voltage transformer, a Hall sensor and the like, the size and the weight are large, the measurement precision is easily influenced by environmental changes, the integration to a terminal or a fault indicator is difficult, ferromagnetic resonance can be caused, and the accuracy of power distribution network fault identification is low.
therefore, there is a need in the art for a power distribution network fault identification device that can improve the accuracy of fault determination and is convenient for integrated use.
Disclosure of Invention
aiming at the defects of the prior art, the invention aims to provide a power distribution network fault identification device and a power distribution network fault identification method.
the purpose of the invention is realized by adopting the following technical scheme:
The invention provides a power distribution network fault recognition device, and the improvement is that the device comprises: the MEMS electric field sensor, the signal processing module and the fault identification module are connected in sequence;
The MEMS electric field sensor is used for acquiring a current signal corresponding to an induction electric field of a power distribution network line where the MEMS electric field sensor is located and sending the current signal to the signal processing module;
The signal processing module is used for acquiring a voltage digital signal corresponding to the current signal and sending the voltage digital signal to the fault identification module;
And the fault identification module is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal.
Preferably, the signal processing module includes: the device comprises a voltage-current converter, a signal amplifier, a low-pass filter and an A/D converter which are connected in sequence.
Preferably, the fault identification module includes:
The conversion unit is used for determining the electric field intensity of an induced electric field of a power distribution network line where the MEMS sensor is located according to the voltage digital signal;
The determining unit is used for determining the phase voltage of the power distribution network line where the MEMS electric field sensor is located according to the electric field intensity of the induction electric field of the power distribution network line where the MEMS electric field sensor is located;
and the identification unit is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located by using the phase voltage of the power distribution network line where the MEMS electric field sensor is located.
further, the conversion unit is specifically configured to:
determining the electric field intensity E (t) of the induction electric field of the power distribution network line where the MEMS sensor is located at the tth sampling moment according to the following formula:
E(t)＝k1u′(t)
Wherein u' (t) is the voltage value at the t-th sampling time in the voltage digital signal, k1is a first constant.
Further, the determining unit is specifically configured to:
determining the phase voltage u (t) of the distribution network line where the MEMS electric field sensor is located at the tth sampling moment according to the following formula:
in the formula, E (t) is the electric field intensity of an induced electric field of a power distribution network line where the MEMS sensor is located at the tth sampling moment, r is the vertical distance between the MEMS sensor and the power distribution network line, and k is2Is a second constant。
Further, the identification unit specifically includes:
The calculating subunit is used for determining the effective phase voltage value of the power distribution network line where the MEMS electric field sensor is located according to the phase voltage of the power distribution network line where the MEMS electric field sensor is located;
and the judging subunit judges the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the effective phase voltage value of the power distribution network line where the MEMS electric field sensor is located.
Further, the computing subunit is specifically configured to:
determining the effective value U (T) of the phase voltage of the Tth sampling period of the power distribution network line where the MEMS sensor is located according to the following formula:
In the formula, u (t) is the phase voltage of the distribution network line where the MEMS electric field sensor is located at the t-th sampling moment.
further, the determining subunit is specifically configured to:
Obtaining and determining a phase voltage effective value U (T) of the Tth sampling period of the power distribution network line where the MEMS sensor is located, and determining a change quantity delta U (T) of the phase voltage effective value of the Tth sampling period of the power distribution network line where the MEMS sensor is located according to the following formula:
ΔU(T)＝U(T)-U(T-1)
In the formula, the U (T-1) MEMS sensor is located at the effective value of the phase voltage of the T-1 sampling period of the power distribution network line;
If the variation delta U (T) of the effective phase voltage value in the Tth sampling period of the power distribution network line where the MEMS sensor is located is larger than or equal to a preset value, the power distribution network fails, and otherwise, the power distribution network does not fail.
Based on the same invention concept, the invention also provides a power distribution network fault identification method, and the improvement is that the method comprises the following steps:
The MEMS electric field sensor acquires a current signal corresponding to an induction electric field of a power distribution network line where the MEMS electric field sensor is located, and sends the current signal to the signal processing module;
The signal processing module acquires a voltage digital signal corresponding to the current signal and sends the voltage digital signal to the fault identification module;
And the fault identification module determines the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention provides a power distribution network fault identification device and method, which comprises the following steps: the MEMS electric field sensor, the signal processing module and the fault identification module are connected in sequence; the MEMS electric field sensor is used for acquiring a current signal corresponding to an induction electric field of a power distribution network line where the MEMS electric field sensor is located and sending the current signal to the signal processing module; the signal processing module is used for acquiring a voltage digital signal corresponding to the current signal and sending the voltage digital signal to the fault identification module; the fault identification module is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal; the invention judges the fault based on the signal acquired by the MEMS sensor, improves the accuracy of fault judgment, and has simple structure, small volume and convenient integrated use.
drawings
FIG. 1 is a schematic structural diagram of a fault recognition device for a power distribution network according to the present invention;
FIG. 2 is a flow chart of a method for identifying faults in a power distribution network according to the present invention;
fig. 3a, 3b and 3c are schematic diagrams of application scenarios of the power distribution network fault identification device in the embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a power distribution network fault recognition device, as shown in fig. 1, the device comprises: the MEMS electric field sensor, the signal processing module and the fault identification module are connected in sequence;
The MEMS electric field sensor is used for acquiring a current signal corresponding to an induction electric field of a power distribution network line where the MEMS electric field sensor is located and sending the current signal to the signal processing module;
the signal processing module is used for acquiring a voltage digital signal corresponding to the current signal and sending the voltage digital signal to the fault identification module;
And the fault identification module is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal.
In a specific embodiment of the present invention, the signal processing module includes: the device comprises a voltage-current converter, a signal amplifier, a low-pass filter and an A/D converter which are connected in sequence.
the induced current signal is converted into an induced voltage analog signal through a voltage-current converter, amplified through a signal amplifier, filtered through a low-pass filter and then subjected to induced voltage digital signal through an A/D converter.
in a specific embodiment of the present invention, the fault identification module includes:
the conversion unit is used for determining the electric field intensity of an induced electric field of a power distribution network line where the MEMS sensor is located according to the voltage digital signal;
The determining unit is used for determining the phase voltage of the power distribution network line where the MEMS electric field sensor is located according to the electric field intensity of the induction electric field of the power distribution network line where the MEMS electric field sensor is located;
and the identification unit is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located by using the phase voltage of the power distribution network line where the MEMS electric field sensor is located.
Specifically, in a specific embodiment of the present invention, the converting unit is specifically configured to:
Determining the electric field intensity E (t) of the induction electric field of the power distribution network line where the MEMS sensor is located at the tth sampling moment according to the following formula:
E(t)＝k1u′(t)
wherein u' (t) is the voltage value at the t-th sampling time in the voltage digital signal, k1is a first constant.
Specifically, in a specific embodiment of the present invention, the determining unit is specifically configured to:
determining the phase voltage u (t) of the distribution network line where the MEMS electric field sensor is located at the tth sampling moment according to the following formula:
in the formula, E (t) is the electric field intensity of an induced electric field of a power distribution network line where the MEMS sensor is located at the tth sampling moment, r is the vertical distance between the MEMS sensor and the power distribution network line, and k is2is a second constant.
Specifically, in a specific embodiment of the present invention, the identification unit specifically includes:
the calculating subunit is used for determining the effective phase voltage value of the power distribution network line where the MEMS electric field sensor is located according to the phase voltage of the power distribution network line where the MEMS electric field sensor is located;
and the judging subunit judges the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the effective phase voltage value of the power distribution network line where the MEMS electric field sensor is located.
further, the computing subunit is specifically configured to:
Determining the effective value U (T) of the phase voltage of the Tth sampling period of the power distribution network line where the MEMS sensor is located according to the following formula:
In the formula, u (t) is the phase voltage of the distribution network line where the MEMS electric field sensor is located at the t-th sampling moment.
Further, the judging subunit is specifically configured to:
obtaining and determining a phase voltage effective value U (T) of the Tth sampling period of the power distribution network line where the MEMS sensor is located, and determining a change quantity delta U (T) of the phase voltage effective value of the Tth sampling period of the power distribution network line where the MEMS sensor is located according to the following formula:
ΔU(T)＝U(T)-U(T-1)
In the formula, the U (T-1) MEMS sensor is located at the effective value of the phase voltage of the T-1 sampling period of the power distribution network line;
if the variation delta U (T) of the effective phase voltage value in the Tth sampling period of the power distribution network line where the MEMS sensor is located is larger than or equal to a preset value, the power distribution network fails, and otherwise, the power distribution network does not fail.
In an embodiment of the present invention, the identification device further comprises a power supply module for providing the amount of power required by the device.
Specifically, in an embodiment of the invention, as shown in fig. 3a, the identification means is mounted directly on the distribution network line, the identification means sends the fault condition and the phase voltages to the signal combining means, and the signal combining means uploads the combined fault condition and phase voltages to the controlling master station.
As shown in fig. 3b, the identification means are integrated in a fault indicator, which is installed on the distribution network line, the identification means send the fault situation and the phase voltages to the signal combination means, which transmit the combined fault situation and phase voltages up to the control master.
As shown in fig. 3c, the identification device is integrated in an intelligent terminal (smart meter) which is installed on a mast and uploads the collected fault condition and phase voltage to the control master station.
based on the same inventive concept, the invention also provides a power distribution network fault identification method, as shown in fig. 2, the method comprises the following steps:
The MEMS electric field sensor acquires a current signal corresponding to an induction electric field of a power distribution network line where the MEMS electric field sensor is located, and sends the current signal to the signal processing module;
The signal processing module acquires a voltage digital signal corresponding to the current signal and sends the voltage digital signal to the fault identification module;
And the fault identification module determines the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal.
in a specific embodiment of the present invention, the signal processing module includes: the device comprises a voltage-current converter, a signal amplifier, a low-pass filter and an A/D converter which are connected in sequence.
the induced current signal is converted into an induced voltage analog signal through a voltage-current converter, amplified through a signal amplifier, filtered through a low-pass filter and then subjected to induced voltage digital signal through an A/D converter.
In a specific embodiment of the present invention, the fault identification module includes:
the conversion unit is used for determining the electric field intensity of an induced electric field of a power distribution network line where the MEMS sensor is located according to the voltage digital signal;
the determining unit is used for determining the phase voltage of the power distribution network line where the MEMS electric field sensor is located according to the electric field intensity of the induction electric field of the power distribution network line where the MEMS electric field sensor is located;
And the identification unit is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located by using the phase voltage of the power distribution network line where the MEMS electric field sensor is located.
specifically, in a specific embodiment of the present invention, the converting unit is specifically configured to:
determining the electric field intensity E (t) of the induction electric field of the power distribution network line where the MEMS sensor is located at the tth sampling moment according to the following formula:
E(t)＝k1u′(t)
wherein u' (t) is the t-th sample in the voltage digital signalvoltage value at time k1is a first constant.
Specifically, in a specific embodiment of the present invention, the determining unit is specifically configured to:
determining the phase voltage u (t) of the distribution network line where the MEMS electric field sensor is located at the tth sampling moment according to the following formula:
in the formula, E (t) is the electric field intensity of an induced electric field of a power distribution network line where the MEMS sensor is located at the tth sampling moment, r is the vertical distance between the MEMS sensor and the power distribution network line, and k is2is a second constant.
Specifically, in a specific embodiment of the present invention, the identification unit specifically includes:
The calculating subunit is used for determining the effective phase voltage value of the power distribution network line where the MEMS electric field sensor is located according to the phase voltage of the power distribution network line where the MEMS electric field sensor is located;
and the judging subunit judges the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the effective phase voltage value of the power distribution network line where the MEMS electric field sensor is located.
further, the computing subunit is specifically configured to:
determining the effective value U (T) of the phase voltage of the Tth sampling period of the power distribution network line where the MEMS sensor is located according to the following formula:
in the formula, u (t) is the phase voltage of the distribution network line where the MEMS electric field sensor is located at the t-th sampling moment.
Further, the judging subunit is specifically configured to:
Obtaining and determining a phase voltage effective value U (T) of the Tth sampling period of the power distribution network line where the MEMS sensor is located, and determining a change quantity delta U (T) of the phase voltage effective value of the Tth sampling period of the power distribution network line where the MEMS sensor is located according to the following formula:
ΔU(T)＝U(T)-U(T-1)
in the formula, the U (T-1) MEMS sensor is located at the effective value of the phase voltage of the T-1 sampling period of the power distribution network line;
If the variation delta U (T) of the effective phase voltage value in the Tth sampling period of the power distribution network line where the MEMS sensor is located is larger than or equal to a preset value, the power distribution network fails, and otherwise, the power distribution network does not fail.
in an embodiment of the present invention, the preset value is 0.5UN，UNthe phase voltage effective value is the phase voltage effective value when the power distribution network normally operates.
further, determining the effective value U (T) of the phase voltage of the Tth sampling period of the power distribution network line where the MEMS sensor is located according to the following formula:
in the formula, u (t) is the phase voltage of the distribution network line where the MEMS electric field sensor is located at the t-th sampling moment.
in summary, the power distribution network fault identification apparatus and method provided by the present invention include: the MEMS electric field sensor, the signal processing module and the fault identification module are connected in sequence; the MEMS electric field sensor is used for acquiring a current signal corresponding to an induction electric field of a power distribution network line where the MEMS electric field sensor is located and sending the current signal to the signal processing module; the signal processing module is used for acquiring a voltage digital signal corresponding to the current signal and sending the voltage digital signal to the fault identification module; the fault identification module is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal; the invention judges the fault based on the signal acquired by the MEMS sensor, improves the accuracy of fault judgment, and has simple structure, small volume and convenient integrated use.
as will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
these computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (9)
1. A power distribution network fault identification apparatus, the apparatus comprising: the MEMS electric field sensor, the signal processing module and the fault identification module are connected in sequence;
The MEMS electric field sensor is used for acquiring a current signal corresponding to an induction electric field of a power distribution network line where the MEMS electric field sensor is located and sending the current signal to the signal processing module;
The signal processing module is used for acquiring a voltage digital signal corresponding to the current signal and sending the voltage digital signal to the fault identification module;
and the fault identification module is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal.
2. the apparatus of claim 1, wherein the signal processing module comprises: the device comprises a voltage-current converter, a signal amplifier, a low-pass filter and an A/D converter which are connected in sequence.
3. the apparatus of claim 1, wherein the fault identification module comprises:
the conversion unit is used for determining the electric field intensity of an induced electric field of a power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal;
The determining unit is used for determining the phase voltage of the power distribution network line where the MEMS electric field sensor is located according to the electric field intensity of the induction electric field of the power distribution network line where the MEMS electric field sensor is located;
and the identification unit is used for determining the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located by using the phase voltage of the power distribution network line where the MEMS electric field sensor is located.
4. the apparatus of claim 3, wherein the conversion unit is specifically configured to:
Determining the electric field intensity E (t) of the induction electric field of the power distribution network line where the MEMS sensor is located at the tth sampling moment according to the following formula:
E(t)＝k1u′(t)
Wherein u' (t) is the voltage value at the t-th sampling time in the voltage digital signal, k1is a first constant.
5. the apparatus of claim 3, wherein the determining unit is specifically configured to:
Determining the phase voltage u (t) of the distribution network line where the MEMS electric field sensor is located at the tth sampling moment according to the following formula:
In the formula, E (t) is the electric field intensity of an induced electric field of a power distribution network line where the MEMS sensor is located at the tth sampling moment, r is the vertical distance between the MEMS sensor and the power distribution network line, and k is2Is a second constant.
6. The apparatus according to claim 3, wherein the identification unit specifically comprises:
the calculating subunit is used for determining the effective phase voltage value of the power distribution network line where the MEMS electric field sensor is located according to the phase voltage of the power distribution network line where the MEMS electric field sensor is located;
and the judging subunit judges the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the effective phase voltage value of the power distribution network line where the MEMS electric field sensor is located.
7. The apparatus of claim 6, wherein the computing subunit is specifically configured to:
determining the effective value U (T) of the phase voltage of the Tth sampling period of the power distribution network line where the MEMS sensor is located according to the following formula:
in the formula, u (t) is the phase voltage of the distribution network line where the MEMS electric field sensor is located at the t-th sampling moment.
8. The apparatus as claimed in claim 6, wherein the determining subunit is specifically configured to:
Obtaining and determining a phase voltage effective value U (T) of the Tth sampling period of the power distribution network line where the MEMS sensor is located, and determining a change quantity delta U (T) of the phase voltage effective value of the Tth sampling period of the power distribution network line where the MEMS sensor is located according to the following formula:
ΔU(T)＝U(T)-U(T-1)
in the formula, the U (T-1) MEMS sensor is located at the effective value of the phase voltage of the T-1 sampling period of the power distribution network line;
If the variation delta U (T) of the effective phase voltage value in the Tth sampling period of the power distribution network line where the MEMS sensor is located is larger than or equal to a preset value, the power distribution network fails, and otherwise, the power distribution network does not fail.
9. a method of identifying a device according to any of claims 1 to 8, the method comprising:
the MEMS electric field sensor acquires a current signal corresponding to an induction electric field of a power distribution network line where the MEMS electric field sensor is located, and sends the current signal to the signal processing module;
The signal processing module acquires a voltage digital signal corresponding to the current signal and sends the voltage digital signal to the fault identification module;
And the fault identification module determines the fault condition of the power distribution network corresponding to the power distribution network line where the MEMS electric field sensor is located according to the voltage digital signal.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111880020A (en) * | 2020-04-27 | 2020-11-03 | 深圳华工能源技术有限公司 | Fault recording data generation method and device for power distribution and utilization system of power consumer |
| CN114689953A (en) * | 2022-03-30 | 2022-07-01 | 哈尔滨理工大学 | Electric field detection device for dry-type air-core reactor |
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2019
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111880020A (en) * | 2020-04-27 | 2020-11-03 | 深圳华工能源技术有限公司 | Fault recording data generation method and device for power distribution and utilization system of power consumer |
| CN114689953A (en) * | 2022-03-30 | 2022-07-01 | 哈尔滨理工大学 | Electric field detection device for dry-type air-core reactor |
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