CN113176437A - Method and device for rapidly detecting voltage abnormity - Google Patents
Method and device for rapidly detecting voltage abnormity Download PDFInfo
- Publication number
- CN113176437A CN113176437A CN202110325928.7A CN202110325928A CN113176437A CN 113176437 A CN113176437 A CN 113176437A CN 202110325928 A CN202110325928 A CN 202110325928A CN 113176437 A CN113176437 A CN 113176437A
- Authority
- CN
- China
- Prior art keywords
- voltage
- change amplitude
- voltage change
- abnormity
- instantaneous
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/10—Measuring sum, difference or ratio
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Current Or Voltage (AREA)
- Protection Of Static Devices (AREA)
Abstract
The invention discloses a method and a device for rapidly detecting voltage abnormity, wherein the method comprises the following steps: acquiring an instantaneous voltage change amplitude, a maximum voltage change amplitude and a target voltage change amplitude between two voltage signal points within a time interval delta t of any complete cycle; comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and a target voltage change amplitude to determine the possibility of voltage abnormity; if the instantaneous voltage change amplitude is larger than the maximum voltage change amplitude, the possibility of voltage abnormity is 100%; and processing the ratio of the instantaneous voltage change amplitude to the target voltage change amplitude to obtain a probability parameter value kappa, wherein the larger the calculated probability parameter value kappa is, the higher the possibility of voltage abnormity is, and the method can realize the rapid detection of the voltage abnormity condition and has higher real-time property.
Description
Technical Field
The invention relates to the field of electric power, in particular to a method and a device for rapidly detecting voltage abnormity.
Background
Along with rapid development of economy, diversification of industrial manufacturing and residential electricity consumption leads to more complicated, randomized and diversified power quality problems of a power grid, attention is paid to voltage abnormity problems more and more, voltage abnormity comprises voltage sag and voltage sag, the voltage sag is sudden voltage reduction, but the voltage is recovered to be normal in a short time, the voltage sag refers to that the root mean square value of the voltage rises to 1.1-1.8 times of rated voltage under the power frequency condition, the voltage sag and the voltage sag are caused by the fact that current far exceeding the normal condition appears in the circuit in a short time, and as a result, voltage far lower than or higher than the normal voltage appears, and the transient large current is caused by the fact that short-circuit fault appears in the circuit. In order to improve the productivity level, a large number of precision devices are adopted in many industries, and are very sensitive to voltage abnormity, for example, in the automobile industry, due to the fact that a large number of industrial robots are used, when precision machining or spraying devices such as drilling and cutting are controlled by the robots to metal parts, if a voltage abnormity event occurs, the robots can be caused to malfunction to cause product scrapping, in the industries such as semiconductors and precision electronics, if a voltage abnormity occurs, the devices can be stopped working, the quality of produced products is reduced, the whole product line can be caused to stop running, chips and main boards are damaged, and therefore, whether abnormity occurs or not is detected timely and quickly is particularly important.
The existing voltage abnormity detection method and the problems thereof are as follows: the method comprises an effective value method, a dq0 conversion method based on an instantaneous reactive power theory and a wavelet analysis method, wherein the methods have the problems of poor real-time performance, complex operation and the like, and voltage abnormity cannot be detected quickly.
In summary, the conventional voltage anomaly detection method mainly includes: the detection period is long, the operation is complex, and the voltage abnormal condition can not be quickly detected.
Disclosure of Invention
The existing voltage anomaly detection method mainly comprises the following steps: the method and the device for rapidly detecting the voltage abnormity aim at solving the problems that the detection period is long, the operation is complex and the rapid detection on the voltage abnormity condition cannot be carried out.
In order to achieve the above object, the present invention provides a method for rapidly detecting voltage abnormality, comprising the steps of:
s1, acquiring an instantaneous voltage change amplitude, a maximum voltage change amplitude and a target voltage change amplitude between two voltage signal points within a time interval delta t of any complete cycle;
s2, comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and a target voltage change amplitude to determine the possibility of voltage abnormity;
s3, if the instantaneous voltage change amplitude is larger than the maximum voltage change amplitude, the possibility of voltage abnormity is 100 percent;
and S4, carrying out ratio processing on the instantaneous voltage change amplitude and the target voltage change amplitude to obtain a probability parameter value kappa, wherein the probability parameter value kappa is calculated to be larger, and the probability of voltage abnormity is higher.
Preferably, in step S1, the step of obtaining the instantaneous voltage change amplitude and the maximum voltage change amplitude between two voltage signal points within the time interval Δ t of any complete cycle includes:
expressing the normal power supply voltage of the alternating current power supply by using a trigonometric function;
the trigonometric function is subjected to derivation, and the derived function value is the instantaneous voltage change amplitude;
and obtaining the maximum voltage change amplitude according to the derived value characteristics of the trigonometric function.
Preferably, any one complete cycle in step S1 includes: n voltage signal points with time period of T and normal voltage peak value of UmaxNormal peak-to-valley voltage of Umin。
Preferably, the step of obtaining the target voltage variation amplitude in step S1 includes:
calculating the normal voltage peak value UmaxAnd the normal voltage peak-to-valley value UminThe difference between the two is 2Um；
Passing N/2 voltages of half cycleThe signal point pair is corresponding to the difference value 2UmDividing equally to obtain 4Um/N；
Dividing the result into 4Umand/N is taken as the target voltage change amplitude.
Preferably, the voltage abnormality in step S3 includes: voltage sag and voltage ramp.
Preferably, the value of the probability parameter value κ in step S4 is a constant greater than 1.
In order to achieve the above object, the present invention further provides a device for rapidly detecting voltage abnormality, wherein the device comprises:
the acquisition module is used for acquiring the instantaneous voltage change amplitude, the maximum voltage change amplitude and the target voltage change amplitude between two voltage signal points within the time interval delta t of any complete cycle;
the calculation module is used for carrying out ratio processing on the instantaneous voltage change amplitude and the target voltage change amplitude to obtain a probability parameter value;
and the judging module is used for comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and the target voltage change amplitude to determine the possibility of voltage abnormity.
Has the advantages that:
the voltage abnormity rapid detection method provided by the invention can rapidly detect the voltage abnormity in real time, can also detect the position of a voltage signal point with voltage abnormity, and reserves fault positioning by rapidly detecting the voltage abnormity.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. 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 application.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention provides a method and a device for rapidly detecting voltage abnormity, which are suitable for the field of electric power. The method comprises the following steps: acquiring an instantaneous voltage change amplitude, a maximum voltage change amplitude and a target voltage change amplitude between two voltage signal points within a time interval delta t of any complete cycle; comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and a target voltage change amplitude to determine the possibility of voltage abnormity; if the instantaneous voltage change amplitude is larger than the maximum voltage change amplitude, the possibility of voltage abnormity is 100%; and processing the ratio of the instantaneous voltage change amplitude to the target voltage change amplitude to obtain a probability parameter value kappa, wherein the larger the calculated probability parameter value kappa is, the higher the possibility of voltage abnormity is, and the method can realize the rapid detection of the voltage abnormity condition and has higher real-time property.
Example one
The method for rapidly detecting voltage abnormality in the embodiment comprises the following steps:
s1, acquiring an instantaneous voltage change amplitude, a maximum voltage change amplitude and a target voltage change amplitude between two voltage signal points within a time interval delta t of any complete cycle;
in this step, the voltage of the normal alternating current changes according to the sine or cosine law with time, the change law of the voltage can be represented by a sine or cosine function, any complete cycle refers to the waveform of one complete cycle of the sine or cosine function, and the instantaneous voltage change amplitude, the maximum voltage change amplitude and the target voltage change amplitude between two voltage signal points within the time interval delta t of any complete cycle are obtained.
Further, in step S1, the step of obtaining the instantaneous voltage change amplitude and the maximum voltage change amplitude between two voltage signal points within the time interval Δ t of any complete cycle includes:
expressing the normal power supply voltage of the alternating current power supply by using a trigonometric function;
in this step, the trigonometric function may include a sine function and a cosine function, and when the cosine function represents the normal supply voltage of the ac power supply, the cosine function represents the normal supply voltage waveform of the ac power supply
Is shown in which U ismIs a constant voltage amplitude, ω is the angular frequency,
for the initial phase, u is the voltage value and t is the time variable.
The trigonometric function is subjected to derivation, and the derived function value is the instantaneous voltage change amplitude;
in this step, the cosine function is processed
Derivation, the result after derivation is
Obtaining the instantaneous voltage change amplitude U' at two points of the time interval delta t, wherein UmIs a constant voltage amplitude, ω is the angular frequency,
for the initial phase, u is the voltage value and t is the time variable.
And obtaining the maximum voltage change amplitude according to the derived value characteristics of the trigonometric function.
In this step, according to the function
It is known that | U'. ltoreq. Umω -i.e. the normal voltage variation amplitude at all voltage signal points of the time interval Δ t must be smaller than-Umomega-Umω -is the maximumLarge voltage change amplitude.
Further, in step S1, any complete cycle includes:
n voltage signal points with time period of T and normal voltage peak value of UmaxNormal peak-to-valley voltage of Umin。
In this step, the number N of voltage signal points is different according to the difference of the voltage signal sampling frequency, the value of N is also different, the larger the voltage signal sampling frequency is, the larger the value of N is, that is, the more the number of voltage signal points contained in each complete cycle is, the time period T refers to the time required for changing for one cycle, and is a cycle value of the complete cycle, the normal voltage peak value is the maximum value of the complete cycle, and the normal voltage peak-valley value is the minimum value of the complete cycle.
If | U' | U appears in time interval Δ tmω -and it is determined that the voltage abnormality has occurred at the point, but since U is presentmOmega is too large, some voltage anomalies may be missed, such as | U' ≦ UmIn omega-case, a voltage dip may also occur, and U' is ≥ UmSince ω -is only a rough determination of the voltage sag, it is necessary to determine U-U to improve the accuracy of the determination resultmThe range of ω |, which is reduced, is further limited, and the target voltage variation amplitude needs to be obtained.
Further, in step S1, the obtaining step of the target voltage variation amplitude includes:
calculating the normal voltage peak value UmaxAnd the normal voltage peak-to-valley value UminThe difference between the values is 2-Um│；
In this step, the normal voltage peak value U can be determined according to the value characteristics of the sine function or the cosine functionmaxAnd the normal voltage valley value UminThe difference between the values is 2-UmFor example, the cosine function is used when the normal supply voltage waveform of the AC power source
Is shown in which U ismIs a constant voltage amplitude, ω is the angular frequency,
as an initial phase, U is a voltage value, t is a time variable, and a normal voltage peak value U is determined by the cosine functionmax UmNormal valley voltage Uminis-UmThus, the normal voltage peak value U can be determinedmaxAnd the normal voltage valley value UminThe difference between the values is 2-Um│。
The difference value is 2U through N/2 voltage signal point pairs of half cyclemDividing equally to obtain 4Um/N；
In this step, since the peak and the trough are half cycles, the number of voltage signal points of the half cycles is N/2, and the maximum voltage variation amplitude is 2-UmThe | is equally divided, i.e. the distance between the | U's in the Y axis is 4 |, Um│/N。
Dividing the result into 4-UmAnd taking the value of | N as the target voltage variation amplitude.
In this step, the amplitude of the voltage change between the two normal voltage signal points must be 4UmSmall scale float at/N, i.e. | U' | ≈ 4Um/N, because cosine wave is processed to be equivalent to a straight line, | U' | is slightly larger than 4U |m│/N。
S2, comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and a target voltage change amplitude to determine the possibility of voltage abnormity;
in this step, the absolute value of the voltage variation amplitude between all the normal two voltage signal points is always 4-UmN and Umω -within this interval, i.e., 4Um/N≤│u′│≤│Umω |, therefore, comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and the target voltage change amplitude, it is possible to determine the possibility of the occurrence of the voltage abnormality.
Further, in this step, the voltage abnormality condition includes: voltage sag and voltage ramp
In this step, the voltage abnormality conditions of the present invention include a voltage sag and a voltage sag, and when the occurrence of the voltage sag or the voltage sag is detected by this method, it may be collectively referred to as the occurrence of a voltage abnormality.
S3, if the instantaneous voltage change amplitude is larger than the maximum voltage change amplitude, the possibility of voltage abnormity is 100 percent;
in this step, since the absolute value of the voltage variation amplitude between all the normal two voltage signal points must be 4-UmN and Umω -within this interval, i.e., 4Um/N≤│u′│≤│Umomega-U' is always greater than U if severe voltage abnormality occursmω│。
And S4, carrying out ratio processing on the instantaneous voltage change amplitude and the target voltage change amplitude to obtain a probability parameter value kappa, wherein the probability parameter value kappa is calculated to be larger, and the probability of voltage abnormity is higher.
In this step, since the absolute value of the voltage variation amplitude between all the normal two voltage signal points must be 4-UmN and Umω -within this interval, i.e., 4Um/N≤│u′│≤│UmOmega-if it is not a serious voltage sag condition, the probability value parameter k is obtained to judge the possibility of voltage sag, i.e. if U' is not less than k 4UmN, the probability parameter value κ is determined by | U' | and 4UmThe ratio/N, the greater the value of κ, the greater the probability of a voltage sag occurring, e.g., assuming a constant U for the magnitude of the voltage when N is 100m10, time period T is 0.02s, angular frequency ω 2 pi/T100 pi rad/s, initial phase
0, the cosine function u-10 cos100 t represented by the normal supply voltage waveform for the ac power source,
so that the maximum voltage variation amplitude UmOmega is 1000 pi, and the target voltage amplitude is 4-UmAnd (2) acquiring a probability parameter value kappa according to different instantaneous voltage change values, wherein the probability of voltage abnormality occurrence and the probability parameter value kappa linearly change, namely the larger the acquired probability parameter value kappa is, the larger the probability of voltage abnormality occurrence is.
Further, in step S4, the value of the probability parameter k is a constant greater than 1.
In this step, because of 4UmN ≦ u' |, so that the value of the probability parameter κ is a constant greater than 1, which is not fixed.
The invention discloses a method for rapidly detecting voltage abnormity, which comprises the steps of obtaining an instantaneous voltage change amplitude, a maximum voltage change amplitude and a target voltage change amplitude between two voltage signal points within a time interval delta t of any complete cycle; comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and a target voltage change amplitude to determine the possibility of voltage abnormity; if the instantaneous voltage change amplitude is larger than the maximum voltage change amplitude, the possibility of voltage abnormity is 100%; and processing the ratio of the instantaneous voltage change amplitude to the target voltage change amplitude to obtain a probability parameter value kappa, wherein the larger the calculated probability parameter value kappa is, the higher the possibility of voltage abnormity is, and the method can realize the rapid detection of the voltage abnormity condition and has higher real-time property.
Example two
The hardware structure of a voltage anomaly fast detection device of this embodiment includes: the device comprises an acquisition module, a calculation module and a judgment module, wherein:
the acquisition module is used for acquiring the instantaneous voltage change amplitude, the maximum voltage change amplitude and the target voltage change amplitude between two voltage signal points within the time interval delta t of any complete cycle;
the calculation module is used for carrying out ratio processing on the instantaneous voltage change amplitude and the target voltage change amplitude to obtain a probability parameter value;
and the judging module is used for comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and the target voltage change amplitude to determine the possibility of voltage abnormity.
In the embodiment, an acquisition module is used for acquiring an instantaneous voltage change amplitude, a maximum voltage change amplitude and a target voltage change amplitude between two voltage signal points within a time interval delta t of any complete cycle; the calculation module performs ratio processing on the instantaneous voltage change amplitude and the target voltage change amplitude to obtain a probability parameter value; and finally, the judgment module compares the instantaneous voltage change amplitude with the maximum voltage change amplitude and the target voltage change amplitude to determine the possibility of voltage abnormity, so that the voltage abnormity can be quickly detected.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by the present specification, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. A method for rapidly detecting voltage abnormity is characterized by comprising the following steps:
acquiring an instantaneous voltage change amplitude, a maximum voltage change amplitude and a target voltage change amplitude between two voltage signal points within a time interval delta t of any complete cycle;
comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and a target voltage change amplitude to determine the possibility of voltage abnormity;
if the instantaneous voltage change amplitude is larger than the maximum voltage change amplitude, the possibility of voltage abnormity between the two voltage signal points is 100%;
and carrying out ratio processing on the instantaneous voltage change amplitude and the target voltage change amplitude to obtain a probability parameter value, wherein if the probability parameter value calculated between two voltage signal points is larger, the possibility of voltage abnormity between the two voltage signal points is higher.
2. The method of claim 1, wherein the method uses a trigonometric function to represent the supply voltage of the ac power source, and the complete cycle is a complete cycle of the trigonometric function.
3. The method for rapidly detecting voltage abnormality according to claim 2, wherein the step of obtaining the instantaneous voltage change amplitude and the maximum voltage change amplitude comprises:
the trigonometric function is subjected to derivation, and the derived function value is the instantaneous voltage change amplitude;
and obtaining the maximum voltage change amplitude according to the derived value characteristics of the trigonometric function.
4. The method for rapidly detecting voltage abnormality according to claim 2, wherein the step of obtaining the target voltage variation amplitude includes:
calculating the voltage peak value UmaxAnd peak-to-valley voltage UminThe difference between the two is 2Um；
The difference value is 2U through N/2 voltage signal point pairs of half cyclemThe mixture was divided into equal parts, and the number of the divided parts was 4UmN; wherein N is the number of voltage signal points after sampling any complete cycle;
dividing the result into 4Um(iv) target voltage amplitude of changeThe value is obtained.
5. The method for rapidly detecting the voltage abnormality according to claim 1, wherein the voltage abnormality comprises: voltage sag and voltage ramp.
6. The method as claimed in claim 1, wherein the value of the probability parameter k is a constant greater than 1.
7. A device for rapidly detecting a voltage abnormality, the device comprising:
the acquisition module is used for acquiring the instantaneous voltage change amplitude, the maximum voltage change amplitude and the target voltage change amplitude between two voltage signal points within the time interval delta t of any complete cycle;
the calculation module is used for carrying out ratio processing on the instantaneous voltage change amplitude and the target voltage change amplitude to obtain a probability parameter value;
the judging module is used for comparing the instantaneous voltage change amplitude with the maximum voltage change amplitude and the probability parameter value to determine the possibility of voltage abnormity: if the instantaneous voltage change amplitude is larger than the maximum voltage change amplitude, the possibility of voltage abnormity is 100%; the larger the value of the probability parameter κ, the greater the possibility of voltage abnormality.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110325928.7A CN113176437B (en) | 2021-03-26 | 2021-03-26 | Method and device for rapidly detecting voltage abnormity |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110325928.7A CN113176437B (en) | 2021-03-26 | 2021-03-26 | Method and device for rapidly detecting voltage abnormity |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113176437A true CN113176437A (en) | 2021-07-27 |
| CN113176437B CN113176437B (en) | 2022-10-25 |
Family
ID=76922390
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110325928.7A Active CN113176437B (en) | 2021-03-26 | 2021-03-26 | Method and device for rapidly detecting voltage abnormity |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113176437B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103018532A (en) * | 2012-12-13 | 2013-04-03 | 南京安炤电力电子有限公司 | Method and system for high-speed voltage drop detection |
| CN104991110A (en) * | 2015-06-26 | 2015-10-21 | 广东美的制冷设备有限公司 | Voltage abnormity detection method and device for single phase alternating current power supply |
| JP2017138313A (en) * | 2016-02-03 | 2017-08-10 | 富士電機株式会社 | Voltage abnormality detection device, program, and voltage abnormality detection method |
| US20180217187A1 (en) * | 2015-08-04 | 2018-08-02 | Sumitomo Electric Industries, Ltd. | Input-voltage-abnormality detection method and power source device |
| CN108627731A (en) * | 2018-05-04 | 2018-10-09 | 东北电力大学 | A kind of rapid detection method of single-phase power-off |
| CN109307795A (en) * | 2018-11-30 | 2019-02-05 | 广东电网有限责任公司 | Data point detection method and device |
| CN109765420A (en) * | 2019-01-25 | 2019-05-17 | 东北电力大学 | Rapid detection method temporarily drops in a kind of single-phase voltage converted based on Morphologic filters and method of derivation α β-dq |
-
2021
- 2021-03-26 CN CN202110325928.7A patent/CN113176437B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103018532A (en) * | 2012-12-13 | 2013-04-03 | 南京安炤电力电子有限公司 | Method and system for high-speed voltage drop detection |
| CN104991110A (en) * | 2015-06-26 | 2015-10-21 | 广东美的制冷设备有限公司 | Voltage abnormity detection method and device for single phase alternating current power supply |
| US20180217187A1 (en) * | 2015-08-04 | 2018-08-02 | Sumitomo Electric Industries, Ltd. | Input-voltage-abnormality detection method and power source device |
| JP2017138313A (en) * | 2016-02-03 | 2017-08-10 | 富士電機株式会社 | Voltage abnormality detection device, program, and voltage abnormality detection method |
| CN108627731A (en) * | 2018-05-04 | 2018-10-09 | 东北电力大学 | A kind of rapid detection method of single-phase power-off |
| CN109307795A (en) * | 2018-11-30 | 2019-02-05 | 广东电网有限责任公司 | Data point detection method and device |
| CN109765420A (en) * | 2019-01-25 | 2019-05-17 | 东北电力大学 | Rapid detection method temporarily drops in a kind of single-phase voltage converted based on Morphologic filters and method of derivation α β-dq |
Non-Patent Citations (2)
| Title |
|---|
| DING K等: "A novel detection method for voltage sags", 《2006 2ND INTERNATIONAL CONFERENCE ON POWER ELECTRONICS SYSTEMS AND APPLICATIONS》 * |
| 鲁晓一: "基于D-Q变换的电压跌落快速检测算法研究", 《电气技术》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113176437B (en) | 2022-10-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3367198B1 (en) | Method for monitoring and diagnosing rotating machines based on signature analysis of electrical signals | |
| US20080157781A1 (en) | Methods and systems for detecting series arcs in electrical systems | |
| CN105403750A (en) | Voltage sag detection method based on improved dq conversion | |
| CN113281557A (en) | DC voltage drop detection method | |
| CN110954354A (en) | Equipment fault diagnosis method and device | |
| Silsüpür et al. | Flicker source detection methods based on IEC 61000-4-15 and signal processing techniques–a review | |
| CN109596956A (en) | DC series arc method for measuring and device | |
| CN113176437B (en) | Method and device for rapidly detecting voltage abnormity | |
| Zhang et al. | Identification of low voltage AC series arc faults by using Kalman filtering algorithm | |
| CN109307795B (en) | Waveform point detection method and device | |
| Ou et al. | An improved SPRT control chart for monitoring process mean | |
| CN117113200A (en) | Rotor fault diagnosis method, device, electronic equipment and medium | |
| CN209148771U (en) | A kind of Measurement of Harmonics in Power System device based on synchronized sampling complete cycle | |
| Rupal et al. | Detection and classification of power quality disturbances using signal processing techniques | |
| CN108507459B (en) | Method for measuring signal angle of synchro | |
| Kovalchuk et al. | Ensuring the reliable operation of the pumping units by efficient state diagnosis | |
| Pradeep et al. | Recognition of fault and security of three phase induction motor by means of programmable logic controller | |
| CN114935682A (en) | Algorithm for rapidly calculating effective value through alternating current sampling | |
| CN113253048B (en) | Short-circuit fault detection method and device | |
| CN114167116A (en) | Lightning arrester on-line monitoring method and device | |
| CN113189398A (en) | High-order harmonic analysis method and device for zero-point frequency domain windowing | |
| CN102608470B (en) | Judge the method and system of stability of active power filer | |
| WO2021082036A1 (en) | Power system frequency measurement method, bus voltage correction method and devices | |
| CN112834891A (en) | Method and device for detecting failed thyristor in phase-controlled rectifying circuit and terminal equipment | |
| Hardiyanti et al. | Induction Motor Stator Fault Detection Using Discrete Wavelet Transform Based on Statistical Parameters |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20230712 Address after: 213399 Floor 1, No. 21, Chuangzhi Road, Kunlun Street, Liyang City, Changzhou City, Jiangsu Province Patentee after: Dongda Testing Services (Changzhou) Co.,Ltd. Patentee after: Liyang Research Institute of Southeast University Address before: Room 428, building a, 218 Hongkou Road, Kunlun Street, Liyang City, Changzhou City, Jiangsu Province Patentee before: Liyang Research Institute of Southeast University |