CN102621377A - Fault arc detection method - Google Patents

Fault arc detection method Download PDF

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Publication number
CN102621377A
CN102621377A CN2012101138946A CN201210113894A CN102621377A CN 102621377 A CN102621377 A CN 102621377A CN 2012101138946 A CN2012101138946 A CN 2012101138946A CN 201210113894 A CN201210113894 A CN 201210113894A CN 102621377 A CN102621377 A CN 102621377A
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current
parameter
fault
arc
cycle
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CN2012101138946A
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Chinese (zh)
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CN102621377B (en
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王颖
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天津市鸿远电气设备有限公司
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Abstract

The invention discloses a fault arc detection method. By the fault arc detection method, the discrimination and determination accuracy of a fault arc can be effectively improved. On the basis of universal characteristics of an arc, by acquiring current data of each cycle, existence of the characteristics of zero-rest, asymmetry of positive and negative half cycles, unobvious cyclicity and abundant high-frequency harmonic waves in current waveform is analyzed, and occurrence of arc fault is determined. Compared with the prior art, the fault arc detection method has the advantages that the judgment accuracy and precision of the fault arc can be improved, and the misoperation rate of an arc-fault circuit-interrupter (AFCI) product is reduced.

Description

Fault arc detection method
Technical field
The present invention relates to the electric circuit protection equipment field, especially a kind of method that is used for the detection of AFCI fault electric arc.
Background technology
Electric wiring in the family can be because of short circuit, electric wire are aging, loose contact, electric equipment products failure and other reasons produce electric arc in the line.Electric arc is a kind of air electric conduction phenomena, between two electrodes, produces strong and lasting discharge, concentration of energy, and temperature is high, very easily causes the fire failure in the family.Yet traditional domestic circuit failure protecting device can not produce protection to arc fault, and a kind of ability is crucial to the protective device of arc fault in prevention family fire accident.
AFCI (Arc-Fault Circuit-Interrupter) is an arc-fault circuit interrupter, on the basis of traditional isolating switch, has added the function that fault electric arc is shielded, to take precautions against the fire that causes owing to fault electric arc.The Electrical Safety that appears as of AFCI provides reliable guarantee, is applied to aerospace field the earliest, progressively gets among the daily life now.At present, to the AFCI product of low-voltage distribution system, all be on the domestic and international market to 120V, the exploitation of the load equipment of 60Hz, being suitable for domestic 220V/AC, the AFCI product of 50Hz distribution system is a brand-new technology.
As the device that can shield to fault electric arc, be that it is the most basic to the accurate judgement of fault electric arc, also be most crucial technology.Current waveform when breaking down electric arc can be variant because of the difference of load, has but some characteristics are electric arc, for example: electric current " current zero is stopped " phenomenon; The current waveform positive-negative half-cycle is asymmetric; Waveform loses periodically; Contain abundant high fdrequency component in the current waveform.But, be easy to generate identification error and misoperation because some defectives on the arc-detection algorithm make present most of AFCI product have weak point to the judgement of fault electric arc electric current.
Summary of the invention
The purpose of this invention is to provide a kind of fault arc detection method of distinguishing and judging accuracy that can effectively improve fault electric arc.
For addressing the above problem, a kind of fault arc detection method of the present invention may further comprise the steps:
1) current value of collection alternating current one-period, several current values that obtain dispersing;
2) calculate in this cycle near the number of the value 0 in the middle of several current values, whether the electric current that characterizes this cycle exists flat shoulder, obtains representing to put near 0 the parameter N of number;
Whether the positive-negative half-cycle of judging this periodic current through the mean value that calculates this periodic current symmetry, obtains characterizing the whether parameter I of symmetry of electric current positive-negative half-cycle Avr
Judge that through the current value that contrasts adjacent two cycles whether current current waveform loses periodically, obtains characterizing the parameter I of current cycle property Per
Plurality of data point to collecting carries out FFT conversion (Fast Fourier Transform (FFT)); Hanning window (raised cosine window) windowing process is adopted in the FFT conversion; Improving measuring accuracy, obtain the content of each harmonic in the current waveform through the FFT conversion, finally calculate the aberration rate I of current waveform x, judge with this whether contained higher hamonic wave exceeds standard in current waveform;
3) successively four parameters of gained are compared with corresponding threshold value, each comparing result is added to the parameter F that characterizes arc fault by coefficient of correspondence v, may further comprise the steps:
A, F vThe value zero clearing;
B, with the same threshold value beta of parameter N 1Relatively, if N>β 1, then that N is on duty with coefficient n 1Count the arc fault parameter F vIf N<β 1, then this time judgement is not counted in F v
C, similar above-mentioned steps are successively with parameter I Avr, I Per, I xWith corresponding threshold value beta 2, β 3, β 4Compare, if then multiply by corresponding coefficient n greater than threshold value 2, n 3, n 4Count the arc fault parameter F v,, obtain F less than then being not counted in v
4) with F vWith threshold value beta 5Relatively, if greater than threshold value, then this cycle is designated as inaction interval, in the parameters C that characterizes the inaction interval number fIn add 1;
5) repeating step 1) to step 3), if F vStill greater than threshold value, promptly continuous two cycles are inaction interval, then C fAdd 1 again; Otherwise C fZero clearing.
6) all be judged as inaction interval, i.e. C as if continuous 8 cycles of electric current fCan be added to 8, judge that then electric current produces arc fault;
Above threshold value beta 1, β 2, β 3, β 4, β 5And coefficient n 1, n 2, n 3, n 4Be set-point, specifically finger can further be optimized definite through experimental data.
Fault arc detection method of the present invention is the basis with the universals of electric arc; Through the current data of gathering weekly the phase analyze current waveform whether exist zero stop, positive-negative half-cycle is asymmetric, periodicity is not obvious; And whether contain these characteristics of abundant high-frequency harmonic, judge whether to have taken place arc fault, with respect to prior art; Can improve accuracy and precision that fault electric arc is judged, reduce the malfunction rate of AFCI product.
Description of drawings
Fig. 1 is the process flow diagram of fault arc detection method among the present invention.
Embodiment
In order to make those skilled in the art person understand technical scheme of the present invention better, the present invention is done further detailed description below in conjunction with accompanying drawing and embodiment.
As shown in Figure 1, fault arc detection method of the present invention may further comprise the steps:
1) gather the current value of family expenses 220V/50Hz alternating current one-period with the SF of 1600Hz, 32 current values that obtain dispersing are designated as I 0, I 1..., I 31, form the current waveform data acquisition in this cycle;
2) calculate near the number of the value 0 in the middle of 32 current values in the one-period, whether the electric current that characterizes this cycle exists flat shoulder, and concrete calculating formula is:
N = Σ 0 31 Z k
Obtain representing near the parameter N of some number 0.
Whether the positive-negative half-cycle of judging this periodic current through the mean value that calculates the one-period electric current is symmetrical, and concrete computing formula is following:
I avr = 1 32 Σ 0 31 I k
Obtain characterizing the whether parameter I of symmetry of electric current positive-negative half-cycle Avr
Judge through the current value that contrasts adjacent two cycles whether current current waveform loses periodically, and concrete computing formula is following:
I per = Σ 0 31 | I k ′ - I k |
Obtain characterizing the parameter I of current cycle property Per
32 data points to collecting are carried out the FFT conversion, and the hanning windowing process is adopted in the FFT conversion, improving measuring accuracy, obtain the content of each harmonic in the current waveform through the FFT conversion, finally calculate the aberration rate I of current waveform x, judge with this whether contained higher hamonic wave exceeds standard in current waveform.
3) successively four parameters of gained are compared with corresponding threshold value, each comparing result is added to the parameter F that characterizes arc fault by certain coefficient v, the practical implementation step is following:
F before a, the each judgement vThe value zero clearing;
B, with the same threshold value beta of parameter N 1Relatively, if N>β 1, then that N is on duty with coefficient n 1Count the arc fault parameter F vIf N<β 1, then this time judgement is not counted in F v, β wherein 1Be given threshold value, coefficient n 1Be given coefficient.
C, similar above-mentioned steps are successively with parameter I Avr, I Per, I xWith corresponding threshold value beta 2, β 3, β 4Compare, if then multiply by corresponding coefficient n greater than threshold value 2, n 3, n 4Count the arc fault parameter F v, less than then being not counted in, β wherein 2, β 3, β 4Be given threshold value, coefficient n 2, n 3, n 4Be given coefficient.For example, if above-mentioned comparative result be greater than, then obtain:
F v=n 1*N+n 2*I avr+n 3*I per+n 4*I x
4) with F vWith threshold value beta 5Relatively, if greater than threshold value, then this cycle is designated as inaction interval, in the parameters C that characterizes the inaction interval number fIn add 1, β wherein 5Be given threshold value.
5) gather the current value of following one-period, and repeat step 1), if F to step 3) vStill greater than threshold value, promptly continuous two cycles are inaction interval, then C fAdd 1 again; Otherwise C fZero clearing.
6) all be judged as inaction interval, i.e. C as if continuous 8 cycles of electric current fCan be added to 8, judge that then electric current produces arc fault.
Annotate: above threshold value beta 1, β 2, β 3, β 4, β 5And coefficient n 1, n 2, n 3, n 4Be set-point, specifically finger can further be optimized definite through experimental data.
The present invention is the basis with the universals of electric arc; Through the current data of gathering weekly the phase analyze current waveform whether exist zero stop, positive-negative half-cycle is asymmetric, periodicity is not obvious; And whether contain these characteristics of abundant high-frequency harmonic, judge whether to have taken place arc fault, with respect to prior art; Can improve accuracy and precision that fault electric arc is judged, reduce the malfunction rate of AFCI product.

Claims (1)

1. a fault arc detection method is characterized in that, may further comprise the steps:
1) current value of collection alternating current one-period, several current values that obtain dispersing;
2) calculate in this cycle near the number of the value 0 in the middle of several current values, whether the electric current that characterizes this cycle exists flat shoulder, obtains representing to put near 0 the parameter N of number;
Whether the positive-negative half-cycle of judging this periodic current through the mean value that calculates this periodic current symmetry, obtains characterizing the whether parameter I of symmetry of electric current positive-negative half-cycle Avr
Judge that through the current value that contrasts adjacent two cycles whether current current waveform loses periodically, obtains characterizing the parameter I of current cycle property Per
Plurality of data point to collecting carries out the FFT conversion, obtains the content of each harmonic in the current waveform, finally calculates the aberration rate I of current waveform x
3) successively four parameters of gained are compared with corresponding threshold value, each comparing result is added to the parameter F that characterizes arc fault by coefficient of correspondence v, may further comprise the steps:
A, F vThe value zero clearing;
B, with the same threshold value beta of parameter N 1Relatively, if N>β 1, then that N is on duty with coefficient n 1Count the arc fault parameter F vIf N<β 1, then this time judgement is not counted in F v
C, successively with parameter I Avr, I Per, I xWith corresponding threshold value beta 2, β 3, β 4Compare, if comparative result is greater than then multiply by corresponding coefficient n 2, n 3, n 4Count the arc fault parameter F v,, obtain F less than then being not counted in v
4) with F vWith threshold value beta 5Relatively, if greater than threshold value, then this cycle is designated as inaction interval, in the parameters C that characterizes the inaction interval number fIn add 1;
5) repeating step 1) to step 3), if F vStill greater than threshold value, promptly continuous two cycles are inaction interval, then C fAdd 1 again; Otherwise C fZero clearing.
6) all be judged as inaction interval, i.e. C as if continuous 8 cycles of electric current fCan be added to 8, judge that then electric current produces arc fault.
CN201210113894.6A 2012-04-18 2012-04-18 Fault arc detection method Active CN102621377B (en)

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102981088A (en) * 2012-12-12 2013-03-20 天津市鸿远电气设备有限公司 Detection method for fault arc
WO2014121644A1 (en) * 2013-02-05 2014-08-14 中国矿业大学 Method and device for monitoring electrical fault sparks in real time
CN104569683A (en) * 2015-01-14 2015-04-29 上海和伍新材料科技有限公司 Fault arc detection method
CN104614608A (en) * 2015-03-04 2015-05-13 刘岩 Detection device and method for low voltage parallel electric arc fault
CN105223476A (en) * 2015-09-16 2016-01-06 北京芯同汇科技有限公司 A kind of fault arc detection method based on high-frequency characteristic and device
CN105425118A (en) * 2015-10-29 2016-03-23 山东建筑大学 Multi-information fusion fault arc detection method and device
CN108196170A (en) * 2017-12-28 2018-06-22 河南理工大学 A kind of fault electric arc detecting system and method
CN109061415A (en) * 2018-08-21 2018-12-21 珠海格力电器股份有限公司 A kind of fault arc detection method and device, computer installation, computer readable storage medium
CN109073704A (en) * 2017-03-02 2018-12-21 罗斯蒙特公司 Trend function for shelf depreciation

Families Citing this family (1)

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Publication number Priority date Publication date Assignee Title
CN109959849A (en) * 2019-04-28 2019-07-02 珠海格力电器股份有限公司 Fault detection method and system, storage medium and processor

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CN102253293A (en) * 2011-05-30 2011-11-23 南京航空航天大学 Detection method and device of direct current arc faults

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US6876528B2 (en) * 2000-03-04 2005-04-05 Passi Seymour, Inc. Two winding resonating arc fault sensor which boosts arc fault signals while rejecting arc mimicking noise
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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102981088A (en) * 2012-12-12 2013-03-20 天津市鸿远电气设备有限公司 Detection method for fault arc
CN102981088B (en) * 2012-12-12 2016-01-20 天津市鸿远电气股份有限公司 Fault arc detection method
WO2014121644A1 (en) * 2013-02-05 2014-08-14 中国矿业大学 Method and device for monitoring electrical fault sparks in real time
CN104569683A (en) * 2015-01-14 2015-04-29 上海和伍新材料科技有限公司 Fault arc detection method
CN104614608A (en) * 2015-03-04 2015-05-13 刘岩 Detection device and method for low voltage parallel electric arc fault
CN104614608B (en) * 2015-03-04 2017-07-04 珠海派诺科技股份有限公司 A kind of low pressure parallel arc fault detection means and method
CN105223476A (en) * 2015-09-16 2016-01-06 北京芯同汇科技有限公司 A kind of fault arc detection method based on high-frequency characteristic and device
CN105425118A (en) * 2015-10-29 2016-03-23 山东建筑大学 Multi-information fusion fault arc detection method and device
CN105425118B (en) * 2015-10-29 2018-09-04 山东建筑大学 A kind of Multi-information acquisition fault arc detection method and device
CN109073704A (en) * 2017-03-02 2018-12-21 罗斯蒙特公司 Trend function for shelf depreciation
CN108196170A (en) * 2017-12-28 2018-06-22 河南理工大学 A kind of fault electric arc detecting system and method
CN109061415A (en) * 2018-08-21 2018-12-21 珠海格力电器股份有限公司 A kind of fault arc detection method and device, computer installation, computer readable storage medium

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