CN104898013A - Method and system for diagnosing circuit fault based on acoustical measurement - Google Patents
Method and system for diagnosing circuit fault based on acoustical measurement Download PDFInfo
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- CN104898013A CN104898013A CN201510310678.4A CN201510310678A CN104898013A CN 104898013 A CN104898013 A CN 104898013A CN 201510310678 A CN201510310678 A CN 201510310678A CN 104898013 A CN104898013 A CN 104898013A
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Abstract
Provided in the invention is a method and system for diagnosing a circuit fault based on acoustical measurement. With the method and system, phenomenon of virtual connection and loosening of the circuit can be determined accurately. A noise source is determined based on association and matching of a noise frequency and an electrical signal frequency and a circuit connection unit or computer corresponding to the noise source is further determined; and a noise map of the noise source is monitored to monitor an abnormal loosening situation of the corresponding circuit connection unit. On the basis of the technical scheme, whole-course monitoring of the circuit can be realized based on noise signal measurement; and the cost is low. Besides, a database with abundant resources can be formed based on computer collection and comparison and can be used for determining circuit faults accurate in future. And a self-learning capability of the database is also provided, so that the determination time is substantially saved and the system performance is optimized.
Description
Technical field
The present invention relates to acoustic measurement field, particularly relate to the test of noise in circuit and the method utilizing this testing and diagnosing fault.
Background technology
Circuit occurs that virtually connecting phenomenon is circuit FAQs in actual use.Because the voltage drop between loosening electrical connection two ends is relatively little, so be difficult to by monitoring that the voltage drop decision circuitry of each electrical connection place virtually connects loosening fault.Through exploration for many years, people loosen to circuit the problem that virtually connects caused and provide number of ways, the infrared imaging scanning technique such as extensively adopted at present, but the method cannot provide continuous print to detect and monitor, but be confined to only detect observable joint, and under operator has to be exposed to potential harmful condition in the process of implementation.Also have a kind of mode to be adopt temperature sensing at each electric connection place of product, whether decision circuitry occurs virtually connecting loosening situation thus, but program cost is higher, is therefore difficult to widely use.
Recent exploration personnel develop again and attempt utilizing acoustic measurement diagnostic circuit to virtually connect the method for problem.The acoustic feature such as produced by arc fault or aura contact is judged fault.No matter which kind of environment the electric load or the fault that there is which kind of type result from, the characteristic noise that acoustic sensor direct " hearing " is produced by fault.Contact by arc fault or aura the acoustic noise produced and there is the acoustic signal being in one or more specific wavelength, this one or more specific wavelength is directly related with the essential characteristic of such as electric arc and its resonant frequency, or directly related with AC power supplies modulating frequency and harmonics thereof.The acoustic signal of arc fault is detected by acoustic sensor.The trip signal produced is sent to trip gear, opens separable contact, to interrupt arc fault such as to thread off.But because the noise in circuit exists a lot of source, the noise of some trouble spot is relatively weak in addition, corresponding acoustic sensor does not reach so high sensitivity, therefore possibly cannot accurately obtain this noise, above-mentioned situation very easily causes the erroneous judgement of fault or do not discover corresponding fault.
Therefore people urgently wish to develop and a kind ofly accurately decision circuitry can loosen the method virtually connected, and the method can overcome the problems existed in existing situation, has good cost usability simultaneously.
Summary of the invention
The present invention, in order to overcome problems of the prior art, provides a kind of method of the position utilizing the exception of device in acoustic noise testing circuit or bad contact to occur, the method can accurately decision circuitry virtually connect loosening situation.The method comprises: first provide the frequency of acoustic noise and the frequency of electrical signal in circuit, for determining the consistance between acoustic noise and electrical signal, consistance determines to comprise one or more spectrum peaks corresponding with spectrum peak one or more in acoustic noise frequency content in the frequency content identifying each electrical signal.If determine that specific electric signal and acoustic noise or mechanical panel vibration have high correlation, the connection corresponding with this electric signal and the one or more electric components being coupled to this connection may be confirmed as acoustic noise source.After determining acoustic noise source position, with the comparison of normal noise frequency content, this normal noise frequency is the result measured when circuit is intact, also can form database purchase in computer program by organizing result more, judge that whether noise frequency is abnormal by the frequency spectrum data in calling data storehouse, if the noise frequency recorded exceeds normal noise frequency threshold scope, then think that noise source corresponding to this noise exists abnormal conditions, determine the circuit block that this noise source is corresponding thus or be connected with abnormal conditions.Be connected to be shown to user with display device by communication interface, thus completing circuit fault diagnosis.
The self-learning capability providing detection in detection method of method of the present invention also novelty in addition, mate by associating with corresponding fault the collection of noise signal and electrical signal and storage, computing machine can without noise source position fixing process direct position, positioning circuit trouble spot.
The present invention is also special devises additive noise simulation signal generator for little noise signal (being difficult to the noise signal captured by sound transducer), for the measurement of auxiliary little noise signal.This additive noise simulation signal generator comprises acoustic feature simulator, and acoustic feature simulator comprises acoustic generator, to produce acoustic signal, and pulse recurrence rate control circuit, potential pulse generative circuit, piezoelectric element, and interface.Due to the existence of this additive noise simulation signal generator, widen the usable range of this detection method, further enhancing its actual usability.
The present invention also provides a kind of system utilizing acoustic noise testing circuit fault, this system comprises multiple functional module, be respectively used to the acoustic noise frequency in metering circuit and the electrical signal frequency in Acquisition Circuit, and determine the corresponding relation between acoustic noise frequency and electrical signal frequency, this corresponding relation determines to comprise the one or more spectrum peaks corresponding with acoustic noise frequency content, one or more spectrum peak in the frequency content identifying each electrical signal, if determine that specific electric signal and acoustic noise have high correlation, then corresponding with this electric signal connection and be coupled to one or more electric components of this connection can, be confirmed as acoustic noise source.To the noise spectrum comparison of noise spectrum and the normal circuit arrived be tested, and judge whether noise spectrum exceeds normality threshold scope, if this frequency spectrum data exceeds specific frequency spectrum scope, be diagnosed as the circuit corresponding with this frequency spectrum and connect or unit failure.
In order to increase the usable range of this system further, improve the seizure to little noise signal, this system also comprises additive noise simulating signal source module, for the measurement to small noise signal.
This system also comprises self-learning capability especially in addition, by mating the collection of noise signal and electrical signal and storage and associating with corresponding fault, after training, computing machine can without the need to positioning circuit trouble spot position direct through noise source position fixing process.
The method and system are associated to mate located noise source by noise frequency and electrical signal frequencies, determine that the circuit corresponding with noise source connects or parts thus further, the loosening abnormal conditions of monitoring corresponding circuit and connecting are reached by monitoring the noise collection of illustrative plates of noise source, the program can by the monitored over time to the measurement realizing circuit of noise signal, advantage of lower cost simultaneously, the present invention also forms resourceful database by the collection of computing machine and comparison in addition, for the fault of decision circuitry more accurately in future, namely the present invention goes back the self-learning capability providing database of novelty, greatly save the judgement time and optimized system performance, improve the intellectuality of system.
Accompanying drawing explanation
Fig. 1 loosens based on the acoustic noise decision circuitry that utilizes of the present invention the method flow diagram virtually connected.
Fig. 2 loosens based on the acoustic noise decision circuitry that utilizes of the present invention the system virtually connected.
Embodiment
Electronic equipment can comprise the various electricity and mechanical part that are interconnected by circuit board, connector and other physical arrangements.The acoustic noise that can hear may be derived from any one in these parts, and the location therefore for noise source seems particularly important.
Usually, the input of use motion sensor, microphone input are measured noise frequency, be may be used for the collection of the frequency content of electrical signal by existing multiple electricity input measurement mode.More specifically, microphone input can obtain from the circuit arrangement of such as microphone and so on, and motion sensor input can obtain from equipment such as the accelerometer such as circuit, gyroscopes.Generate the frequency spectrum of the sound signal of seizure thus.Due to the sampling of the frequency spectrum to electrical signal and non-invention emphasis, and widely use in the prior art, therefore do not repeat them here.
For circuit board, said process is described.Circuit board 10 can be installed on a mobile platform, such as laptop computer, personal digital assistant (PDA), intelligent wireless phone, media player, imaging device, mobile internet device (MID), any smart machine (such as smart phone, Intelligent flat, intelligent television etc.) or their combination in any.Circuit board 10 can also be installed on the stationary platform, such as personal computer (PC), server, workstation etc.One or more plate carries one or more vibrations that accelerometer may be used for metering circuit plate.In addition, plate carries microphone and/or the outer microphone of plate may be used for measuring acoustic noise, and wherein the source of acoustic noise and/or panel vibration is the physical features that can be identified.Such as, acoustic noise can be the result (such as fan or hard disk drive (HDD)) of vibration from plant equipment, the result changed across the electrical signal voltage of electric component (such as capacitor), the result etc. changed by the quiescent current of inductor.
If the circuit detected in addition belongs to huge circuit system, circuit can be carried out electricity grouping, respectively measurement comparison be carried out to the noise frequency often organized and electrical signal frequency, reaches the object of more precise monitoring fault thus.
Because the noise signal of the connection of some circuit or parts is relatively little, the sensitivity based on acoustic signal sensor possibly cannot catch this relatively little noise signal.For this kind of situation, the mode of additive noise simulation signal generator can be adopted, in the noise frequency signal finally recorded, deduct additional simulating signal source frequency can obtain actual relatively little noise signal frequencies, complete the measurement to circuit noise signal frequency thus.
The mode in noisy analog signal source additional in aforesaid way has multiple, such as, adopt the mode of acoustic feature simulator.Acoustic feature simulator can comprise acoustic generator, such as piezo-electric acoustical transmitter, and to produce acoustic signal, the acoustic signal of this acoustic signal analog electrical conduction fault, conductivity fault is such as the loosening electrical connection of arc fault, aura contact.Or, the acoustic noise (the acoustic signal small echo such as, produced is similar to the small echo caused by the conductivity fault of the repetition rate with supply frequency or its harmonics) that any suitable electricity, machinery or electric motor phonic generator or magnetostrictive device can be adopted to simulate produced by conductivity fault.Acoustic feature simulator also can comprise in addition: pulse recurrence rate control circuit, potential pulse generative circuit, piezoelectric element, and interface etc.
The first step by the way in completing circuit fault detection method, the i.e. frequency of acoustic noise and the frequency of electrical signal in sample circuit.
Determine the corresponding relation between acoustic noise and electrical signal below, i.e. consistance therebetween, this consistance determines to comprise the one or more spectrum peaks corresponding with acoustic noise frequency content, one or more spectrum peak in the frequency content identifying each electrical signal.If determine that specific electric signal and acoustic noise have high correlation, then corresponding with this electric signal connection and the one or more electric components being coupled to this connection may be confirmed as acoustic noise source.
This corresponding process completes by computer program.Such as embodiment can comprise the computer-readable recording medium with instruction set, if perform this instruction by processor to make computer recognizing acoustic noise frequency, this frequency content is relevant to the physical features of circuit.And processor comprises can one or more cores of operation logic.This instruction simultaneously also can make the electrical signal frequency that computer recognizing is relevant to circuit, and determines the Corresponding matching relation between first frequency content and second frequency content.Such as can by the corresponding relation between the spectral change analysis noise spectrum of the change correspondence of current/voltage etc. and electricity frequency spectrum, such as can determine fundamental frequency peak (such as, 1.5kHz) with higher order resonance frequencies peak (such as, 3.0kHz, 4.5kHz etc.) value etc.
After determining acoustic noise source position, by the noise frequency that records and the comparison of normal noise frequency content, this normal noise frequency is the result measured when circuit is intact, if the noise frequency recorded exceeds normality threshold scope, then can think that noise source corresponding to this noise exists abnormal conditions, namely this correspondence circuit block or be connected with to loosen and virtually connect situation.Can measure the noise of the threshold value of normal circuit and limiting case in addition, the measurement result organizing normal circuit is formed database purchase in computer program more, judge that whether the noise frequency of frequency spectrum data is abnormal by the comparison discriminating program in calling data storehouse, if this frequency spectrum data exceeds specific frequency spectrum scope, be diagnosed as and virtually connect, this result is shown to user by communication interface and display device, thus completing circuit fault diagnosis.
This comparison process can by can actuating logic instruction set realize in computer-readable recording medium.This medium such as flash memory, firmware, random access memory (RAM), ROM (read-only memory) (ROM), programmable read only memory (PROM), special IC (ASIC), complementary metal oxide semiconductor (CMOS) (CMOS) or transistor-transistor logic (TTL) technology, fixed function logic hardware on microcode etc.Computer program code can be write with the combination in any of one or more program languages, comprises OO programming language, such as C++, and traditional procedural, such as " C " programming language or similar programming language.
Storage for many group measurement data can adopt system storage.System storage can comprise conventional memory, such as dynamic RAM (DRAM), configure as memory module, such as, dual inline memory modules (DIMM), small outline dual inline memory module (SODIMM) etc.Computing system can also comprise platform courses maincenter (PCH), PCH as main equipment use and can with microphone, mass memory (such as, HDD, CD, flash memory, programmable read only memory/PROM) and various user interface (UI) equipment, such as, the communication such as touch screen, liquid crystal display/LCD, light emitting diode/LED, keyboard, mouse.UI equipment can make user and computing system carry out the mutual and perception information from computing system.
This method also has self-learning capability in addition, can by mating the collection of noise signal and electrical signal and storage and associating with corresponding fault, repeatedly after training, database, and need not can direct position, positioning circuit trouble spot rapidly locating through primary noise source by " memory " these matching relationships.This learning ability completes by the self study program with n-back test.This learning ability is also strengthened in a database by the signal characteristic matched and fault are directly inputted storage, namely this detection method also can first by experiment the various data (corresponding relation of frequency and fault) of room learning ability is cultivated, in actual use, can directly judge for the failure message stored, without the need to again experiencing the tedious steps such as noise source location or the test of additive noise source, the intellectuality of realizing circuit detection thus.
Embodiments of the invention go for all types of SIC (semiconductor integrated circuit) (" IC ") chip.The example of these IC chips includes but not limited to processor, controller, chipset device, programmable logic array (PLA), memory chip, network chip, SOC (system on a chip) (SoC), SSD/NAND controller ASIC etc.
The present embodiment additionally provides a kind of system of decision circuitry fault in addition, this system has intelligent feature, mainly comprise: acoustic noise measurement module, for the acoustic noise frequency in metering circuit, this module can comprise multiple measuring sensor or their combinations such as accelerometer, optical fibre gyro, microphone; Electrical signal acquisition module, for the electrical signal frequency in Acquisition Circuit, this module can comprise any element being beneficial to the test of this electrical signal of the prior art, such as voltage source, current source, wavelet transformer etc.; Noise source locating module, judge the corresponding relation between acoustic noise frequency and electrical signal frequency, namely consistance therebetween judges, this consistance determines to comprise the one or more spectrum peaks corresponding with acoustic noise frequency content, one or more spectrum peak in the frequency content identifying each electrical signal, this function performs batch processing task by computing machine and efficiently completes, and this processing batch instruction obtains by existing language programming; The abnormal judge module of frequency spectrum, the noise spectrum comparison of noise spectrum and the normal circuit arrived will be tested, judge whether noise spectrum exceeds normality threshold scope, if this frequency spectrum data exceeds specific frequency spectrum scope, be diagnosed as and virtually connect, judge module directly can call that the comparison algorithm program of computing machine is auxiliary compares judgement; Early warning display module, is delivered to display device by frequency spectrum judged result by communication interface, if there is abnormal timely alarm user.Native system also has self-learning capability in addition, can mate by associating with corresponding fault the collection of noise signal and electrical signal and storage, repeatedly after training, system, and need not can direct position, positioning circuit trouble spot rapidly locating through primary noise source by " memory " these matching relationships.This learning ability is also strengthened in a database by the signal characteristic matched and fault are directly inputted storage, the intellectuality of realizing circuit detection thus.
If the circuit detected in addition belongs to huge circuit system, circuit can be carried out electricity grouping, respectively measurement comparison be carried out to the noise frequency often organized and electrical signal frequency, reaches the object of more precise monitoring fault thus.
In order to increase the usable range of this system further, improve the seizure to little noise signal, this system also comprises additive noise simulating signal source module, for the measurement to small noise signal.
Above-mentioned embodiment is only exemplary the present invention is shown, does not attempt to limit the present invention.In addition for not having the step described in detail to belong to technology contents well known to those skilled in the art.For be encompassed in the present invention design in corresponding conversion and change all within the scope of the present invention.
Claims (10)
1. utilize a method for acoustic noise testing circuit fault, the method comprises:
Step one: utilize the acoustic noise frequency in acoustic sensor metering circuit;
Step 2: the frequency of the electrical signal in sample circuit;
Step 3: determine the corresponding relation between above-mentioned acoustic noise frequency and electrical signal frequency, this corresponding relation determines to comprise the one or more spectrum peaks corresponding with acoustic noise frequency content, one or more spectrum peak in the frequency content identifying each electrical signal, if determine that specific electrical signal and acoustic noise have high correlation, then corresponding with this electrical signal connection and the one or more electric components being coupled to this connection are confirmed as acoustic noise source;
Step 4: by the noise frequency that records and the comparison of normal noise frequency content, this normal noise frequency is the result measured when circuit is intact, if the noise frequency recorded exceeds normal noise frequency threshold scope, then think that noise source corresponding to this noise exists abnormal conditions, determine the circuit block that this noise source is corresponding thus or be connected with abnormal conditions.
2. method according to claim 1, it is characterized in that, wherein also can comprise additive noise simulation signal generator, this additive noise simulation signal generator comprises acoustic feature simulator, and acoustic feature simulator comprises acoustic generator, to produce acoustic signal, pulse recurrence rate control circuit, potential pulse generative circuit, piezoelectric element, and interface.
3. method according to claim 2, it is characterized in that, comprise and the threshold value of normal circuit and the noise of limiting case are measured, the measurement result organizing normal circuit is formed database purchase in computer program more, judge that whether the noise frequency of frequency spectrum data is abnormal by the comparison discriminating program in calling data storehouse, if this frequency spectrum data exceeds specific frequency spectrum scope, be diagnosed as exception, this result is shown to user by communication interface and display device, thus completing circuit fault diagnosis.
4. method according to claim 3, it is characterized in that, also comprising self-learning capability, mating by associating with corresponding fault the collection of noise signal and electrical signal and storage, computing machine can without noise source position fixing process direct position, positioning circuit trouble spot.
5. method according to claim 4, it is characterized in that, wherein can comprise and utilize computing machine to carry out frequency comparison, this computing machine comprises the computer-readable recording medium with instruction set, performs instruction make computer recognizing acoustic noise frequency and electrical signal frequency and carry out Logic judgment by processor wherein.
6. utilize a system for acoustic noise testing circuit fault, this system comprises:
Acoustic noise measurement module, for the acoustic noise frequency in metering circuit;
Electrical signal acquisition module, for the electrical signal frequency in Acquisition Circuit;
Noise source locating module, determine the corresponding relation between acoustic noise frequency and electrical signal frequency, this corresponding relation determines to comprise the one or more spectrum peaks corresponding with acoustic noise frequency content, one or more spectrum peak in the frequency content identifying each electrical signal, if determine that specific electric signal and acoustic noise have high correlation, then corresponding with this electric signal connection and the one or more electric components being coupled to this connection, can be confirmed as acoustic noise source;
The abnormal judge module of frequency spectrum, the noise spectrum comparison of noise spectrum and the normal circuit arrived will be tested, judge whether noise spectrum exceeds normality threshold scope, if this frequency spectrum data exceeds specific frequency spectrum scope, be diagnosed as the circuit corresponding with this frequency spectrum and connect or unit failure.
7. system according to claim 6, it is characterized in that, also comprise communication module and early warning display module, this communication module comprises multiple interface, this early warning display module comprises display device or light emitting diode, frequency spectrum judged result is delivered to display device by communication interface, if there is abnormal timely alarm user.
8. system according to claim 7, it is characterized in that, also comprise additive noise simulating signal source module, for the measurement to small noise signal, this additive noise simulation signal generator comprises acoustic feature simulator, acoustic feature simulator comprises acoustic generator, to produce acoustic signal, pulse recurrence rate control circuit, potential pulse generative circuit, piezoelectric element, and interface.
9. system according to claim 8, it is characterized in that, also comprise self-learning capability, by mating the collection of noise signal and electrical signal and storage and associating with corresponding fault, after training, computing machine can without the need to positioning circuit trouble spot position direct through noise source position fixing process.
10. system according to claim 9, is characterized in that, also by carrying out to circuit measurement and the comparison that grouping mea-sure completes noise and electrical signal frequency, to adapt to the accurate detection of complicated circuit.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106646205A (en) * | 2015-10-30 | 2017-05-10 | 国网山西省电力公司电力科学研究院 | Random big-disturbance signal removing algorithm for analyzing circuit breaker fault through sound and vibration combination |
| WO2018002601A1 (en) * | 2016-06-27 | 2018-01-04 | Pambry Electronics Limited | Portable sound exposure meter with acceleration sensor |
| CN109001649A (en) * | 2018-07-21 | 2018-12-14 | 成都光电传感技术研究所有限公司 | A kind of power supply smart diagnostic system and guard method |
| CN109643477A (en) * | 2016-08-12 | 2019-04-16 | 因滕迪梅公司 | Equipment for notification voice alarm etc. |
| FR3079934A1 (en) * | 2018-04-06 | 2019-10-11 | Hager Controls | METHOD FOR DETECTION OF AN EVENT ARISING AT AN ELECTRICAL DISTRIBUTION PANEL. |
| CN110741266A (en) * | 2017-06-07 | 2020-01-31 | 维迪科研究所 | Method and apparatus for fault detection and protection of power switch electronics |
| CN111457941A (en) * | 2020-04-01 | 2020-07-28 | 湖南二零八先进科技有限公司 | Gyro installation effect evaluation method and device based on sound spectrum analysis |
| CN111830439A (en) * | 2019-04-19 | 2020-10-27 | 宁波奥克斯高科技有限公司 | Transformer fault detection method and transformer |
| CN113785208A (en) * | 2019-06-18 | 2021-12-10 | 株式会社日立制作所 | Noise source determination method and information processing system |
| CN117076933A (en) * | 2023-10-16 | 2023-11-17 | 锦浪科技股份有限公司 | Training of arc judgment model, photovoltaic direct current arc detection method and computing equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040156153A1 (en) * | 2003-02-12 | 2004-08-12 | Csanky Peter H. | Arc fault detection system |
| CN102539951A (en) * | 2010-10-18 | 2012-07-04 | 伊顿公司 | Acoustic sensor system, acoustic signature simulator, and electrical distribution system |
| CN103630244A (en) * | 2013-12-18 | 2014-03-12 | 重庆大学 | Equipment fault diagnosis method and system of electric power system |
| CN103765175A (en) * | 2011-07-01 | 2014-04-30 | 英特尔公司 | Identifying electrical sources of acoustic noise |
| CN104267337A (en) * | 2014-08-01 | 2015-01-07 | 云南电力试验研究院（集团）有限公司电力研究院 | All-in-one detecting platform and state recognition system based on circuit breaker operating mechanism |
-
2015
- 2015-06-09 CN CN201510310678.4A patent/CN104898013A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040156153A1 (en) * | 2003-02-12 | 2004-08-12 | Csanky Peter H. | Arc fault detection system |
| CN102539951A (en) * | 2010-10-18 | 2012-07-04 | 伊顿公司 | Acoustic sensor system, acoustic signature simulator, and electrical distribution system |
| CN103765175A (en) * | 2011-07-01 | 2014-04-30 | 英特尔公司 | Identifying electrical sources of acoustic noise |
| CN103630244A (en) * | 2013-12-18 | 2014-03-12 | 重庆大学 | Equipment fault diagnosis method and system of electric power system |
| CN104267337A (en) * | 2014-08-01 | 2015-01-07 | 云南电力试验研究院（集团）有限公司电力研究院 | All-in-one detecting platform and state recognition system based on circuit breaker operating mechanism |
Non-Patent Citations (1)
| Title |
|---|
| 吴浩: "《GPS原理及工程安全监测应用》", 31 December 2014 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106646205A (en) * | 2015-10-30 | 2017-05-10 | 国网山西省电力公司电力科学研究院 | Random big-disturbance signal removing algorithm for analyzing circuit breaker fault through sound and vibration combination |
| WO2018002601A1 (en) * | 2016-06-27 | 2018-01-04 | Pambry Electronics Limited | Portable sound exposure meter with acceleration sensor |
| CN109643477A (en) * | 2016-08-12 | 2019-04-16 | 因滕迪梅公司 | Equipment for notification voice alarm etc. |
| CN110741266A (en) * | 2017-06-07 | 2020-01-31 | 维迪科研究所 | Method and apparatus for fault detection and protection of power switch electronics |
| FR3079934A1 (en) * | 2018-04-06 | 2019-10-11 | Hager Controls | METHOD FOR DETECTION OF AN EVENT ARISING AT AN ELECTRICAL DISTRIBUTION PANEL. |
| CN109001649A (en) * | 2018-07-21 | 2018-12-14 | 成都光电传感技术研究所有限公司 | A kind of power supply smart diagnostic system and guard method |
| CN109001649B (en) * | 2018-07-21 | 2020-12-25 | 成都光电传感技术研究所有限公司 | Intelligent power supply diagnosis system and protection method |
| CN111830439B (en) * | 2019-04-19 | 2022-10-11 | 宁波奥克斯高科技有限公司 | Transformer fault detection method and transformer |
| CN111830439A (en) * | 2019-04-19 | 2020-10-27 | 宁波奥克斯高科技有限公司 | Transformer fault detection method and transformer |
| CN113785208A (en) * | 2019-06-18 | 2021-12-10 | 株式会社日立制作所 | Noise source determination method and information processing system |
| CN111457941A (en) * | 2020-04-01 | 2020-07-28 | 湖南二零八先进科技有限公司 | Gyro installation effect evaluation method and device based on sound spectrum analysis |
| CN117076933A (en) * | 2023-10-16 | 2023-11-17 | 锦浪科技股份有限公司 | Training of arc judgment model, photovoltaic direct current arc detection method and computing equipment |
| CN117076933B (en) * | 2023-10-16 | 2024-02-06 | 锦浪科技股份有限公司 | Training of arc judgment model, photovoltaic direct current arc detection method and computing equipment |
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