CN110867195B - Online defect monitoring method for electric main equipment based on voiceprint and vibration - Google Patents
Online defect monitoring method for electric main equipment based on voiceprint and vibration Download PDFInfo
- Publication number
- CN110867195B CN110867195B CN201911139766.7A CN201911139766A CN110867195B CN 110867195 B CN110867195 B CN 110867195B CN 201911139766 A CN201911139766 A CN 201911139766A CN 110867195 B CN110867195 B CN 110867195B
- Authority
- CN
- China
- Prior art keywords
- voiceprint information
- voiceprint
- vibration
- information
- defect
- 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.)
- Active
Links
- 230000007547 defect Effects 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000012544 monitoring process Methods 0.000 title claims abstract description 39
- 238000012806 monitoring device Methods 0.000 claims abstract description 27
- 238000001514 detection method Methods 0.000 claims description 65
- 238000012545 processing Methods 0.000 claims description 32
- 239000003990 capacitor Substances 0.000 claims description 29
- 230000007613 environmental effect Effects 0.000 claims description 22
- 229910052744 lithium Inorganic materials 0.000 claims description 15
- 230000007246 mechanism Effects 0.000 claims description 15
- 238000001179 sorption measurement Methods 0.000 claims description 15
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 14
- 230000008569 process Effects 0.000 claims description 11
- 238000010586 diagram Methods 0.000 claims description 7
- 230000001133 acceleration Effects 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 239000000284 extract Substances 0.000 claims description 5
- 238000009826 distribution Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000013461 design Methods 0.000 description 4
- 230000010354 integration Effects 0.000 description 4
- 238000001228 spectrum Methods 0.000 description 4
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 229910001416 lithium ion Inorganic materials 0.000 description 3
- 230000003915 cell function Effects 0.000 description 2
- 238000013016 damping Methods 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 239000002131 composite material Substances 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The application discloses a defect online monitoring method aiming at an electric main device based on voiceprint and vibration, which specifically comprises the following monitoring steps: the on-line monitoring device is arranged on the shell of the detected equipment and is physically fixed; continuously collecting the vibration frequency of the detected equipment to obtain voiceprint information E; simultaneously with the steps, voiceprint information A, voiceprint information B and voiceprint information C are collected in a period T; removing information containing voiceprint information A and voiceprint information B from voiceprint information C to obtain voiceprint information D, and extracting information matched with voiceprint information E from voiceprint information D to obtain voiceprint information W sent by the detected equipment; and sending the voiceprint information W to a background server to obtain the accurate defect condition and defect type of the detected equipment.
Description
Technical Field
The application relates to the field of power equipment detection, in particular to the field of devices for detecting defects of in-service power main equipment, and particularly relates to an online defect monitoring method for the power main equipment based on voiceprint and vibration.
Background
The normal operation of the power main equipment is a necessary premise for ensuring the normal operation of the whole power grid and ensuring good power supply. However, the power main equipment is generally in a charged state and cannot be detected in a conventional mode, and most of the prior art indirectly judges through collecting equipment temperature data, but the power main equipment is greatly affected by the environment, the judgment accuracy is low, and the reference significance is low.
During live operation of the electrical equipment, a specific sound and vibration which can represent the state of the equipment are generated, the sound is unique to the equipment, and the sound can be measured and analyzed through an electroacoustical instrument, so that the characteristic representing the operation state of the electrical equipment carried by the sound is called voiceprint and vibration. By utilizing the characteristics, the working condition of the equipment can be predicted by comparing the detected voiceprint information of the detected equipment with the normal voiceprint information, the equipment can be predicted and removed in advance before the equipment fails, and the loss caused by the abnormal power grid outage due to the sudden failure of the power main equipment is avoided. Therefore, the real-time online monitoring method is more unnecessary to have high-voltage power failure, and is convenient, accurate and efficient.
Disclosure of Invention
In order to solve the problem that in the prior art, detection distortion is caused by low accuracy and environmental interference in detection of electrified power main equipment, the application provides a defect online monitoring method and device for the power main equipment based on voiceprint and vibration. The method is used for overcoming the defects of the prior detection technology and realizing accurate, rapid and convenient detection. The application can locate the mechanical defects of the electric equipment by collecting the site sound and vibration and combining the characteristics of various electric equipment. Compared with the prior art, the method has the advantages of more accurate judgment, small equipment, high integration and convenience for detection operation and carrying.
In order to achieve the above purpose, the technical scheme adopted by the monitoring device provided by the application is as follows:
the application also provides a defect online monitoring method for the electric power main equipment based on voiceprint and vibration, which is realized by adopting the monitoring device, and specifically comprises the following monitoring steps: the vibration detection unit continuously collects the vibration frequency generated by the detected equipment to obtain the vibration frequency in a collection duration period T, and vibration voiceprint information E in the period T is obtained by converting the vibration frequency in the period T into a frequency distribution diagram; simultaneously with the steps, the sound collecting unit respectively detects the environmental noise, the noise of the monitoring device and the noise sent by the detected equipment through three paths in the period T, wherein the microphone A, the microphone B and the microphone C collect voiceprint information A, voiceprint information B and voiceprint information C; the processing unit eliminates the information containing the voiceprint information A and the voiceprint information B in the voiceprint information C to obtain voiceprint information D, and extracts the information matched with the voiceprint information D and the voiceprint information E to obtain voiceprint information W sent by the detected equipment; and the voiceprint information W is sent to a background server by utilizing a signal transmitting unit, and the defect condition and the defect type of the detected equipment are accurately obtained by comparing the voiceprint information W with the defect type of the existing power equipment. In the step S02, the period T is 3-5 seconds.
Preferably, the step S04 further includes sharpening the voiceprint information a, the voiceprint information B, and the voiceprint information C in the process of obtaining the voiceprint information D; the sharpening step specifically adopts that the amplitude value of the voiceprint information A/B/C which needs to be sharpened is increased or reduced by 2-3% at the same frequency, so as to form the sharpened voiceprint information amplitude band voiceprint information A which corresponds to the voiceprint information A/B/C + /B + /C + ；
The process of obtaining the voiceprint information W further includes a step of sharpening the voiceprint information D and/or the voiceprint information E; the sharpening step specifically adopts that the amplitude value of the voiceprint information D/E to be sharpened is increased or reduced by 2-3% at the same frequency, so as to form the sharpened voiceprint information amplitude band voiceprint information D corresponding to the voiceprint information D/E + /E + 。
Specifically, the method is to perform double-layer verification by comparing equipment vibration and sound information, so that environmental noise and other noise which can be acquired through a microphone are removed, the sound print information of inherent sound emitted by pure equipment is obtained, meanwhile, the accurate sound print information inherent to the equipment is obtained by comparing the vibration information of the equipment acquired in parallel, the negative influence of environmental interference on a detection result is avoided, and the aim of accurate judgment is achieved. The period T can be considered to be set arbitrarily, the purpose of setting the period T is to prevent the possibility of distortion of comparison results caused by discrete comparison of acquired information, and when voiceprint information is continuously compared, the mutual comparison matching error of data in a section is far lower than that of data in a point, so that the accuracy of detection results is ensured. The integrated monitoring equipment provided by the application realizes the integration of the method, which is an obvious progress compared with the prior art. Although the hardware including the signal transmitting unit, the processing unit, the vibration detecting unit and the sound collecting unit adopted in the application is realized by the products of the existing models in the market, the integral system structure and the processing method are the first example in the defect detection of the power main equipment. The application creatively adopts three-channel sound collection to carry out cross comparison, eliminates the influence of environmental noise, and can obtain accurate equipment voiceprint information, thereby providing good conditions for accurate defect discrimination.
The on-line monitoring device is provided with an outer shell, wherein the outer shell comprises a shell upper cover and a shell base, the shell upper cover and the shell base are detachably covered with each other, the shell base is used for being adsorbed on the surface of detected equipment, and a battery bin, a main control bin and a voiceprint vortex bin used for receiving vibration of the detected equipment are sequentially arranged in the inner cavity of the outer shell from top to bottom; the battery compartment is internally provided with a super capacitor for providing a power supply, the super capacitor is electrically connected with a main control board arranged in the main control compartment, the main control board comprises a vibration detection unit for receiving sound patterns generated by vibration of detected equipment, a sound acquisition unit for respectively acquiring environmental noise, monitoring device noise and vibration sound of the detected equipment, a processing unit for carrying out matching processing on a plurality of pieces of sound pattern information respectively acquired by the vibration detection unit and the sound acquisition unit, and a storage unit which is respectively connected with the processing unit and used for storing the sound pattern information W after being processed by the processing unit, and a signal transmitting unit for transmitting the sound pattern information W. Working principle: when the power equipment monitoring device is used, the shell base is placed on the surface of the detected power equipment, whether the monitoring stability is good or not is judged, then the monitoring device switch is turned on, whether the indicator lamp is normally lightened is judged, and monitoring can be started after the inspection work is ready. The sound collecting unit and the vibration detecting unit work simultaneously, the collected voiceprint information and the vibration information are respectively sent to the processing unit for processing, after being processed, the voiceprint vibration information of the device is removed, the processed voiceprint information W is respectively stored in the storage unit, and meanwhile, the voiceprint information W is sent to the background server through the signal transmitting unit for subsequent analysis. The sound collection unit can collect and compare the environmental noise, the noise of the monitoring equipment and the noise sent by the detected power equipment respectively, and is used for removing all the unexpected noise except the noise sent by the detected equipment so as to realize the accuracy control of collecting voiceprints and avoid misjudgment. Meanwhile, the vibration frequency acquired by the vibration detection unit is combined, and the obtained vibration frequency spectrum is converted into voiceprint image information which is compared with voiceprint information of the sound acquisition unit to obtain final voiceprint information W for defect analysis. The detection principle adopted by the structure is different from that of the existing temperature detection, the temperature influence of the detection environment is avoided, meanwhile, accurate voiceprint information can be obtained through multidimensional noise collection and rejection so as to realize accurate defect judgment, and the purpose of accurate detection is achieved. Meanwhile, the whole detection process is free from power outage, any in-service power equipment can be detected, whether defects are likely or not is judged, advance judgment is achieved, and the unpredictable loss and negative consequences caused by power grid power outage due to sudden faults are avoided. The memory cell functions as two: firstly, the data loss is prevented, and the power-down storage of the device can be met; and secondly, conditions are provided for remote upgrading, and of course, for the detection problem to be solved by the application, the remote upgrading is not necessary to be detected, belongs to an optimal design scheme, and can realize the operation logic of the wireless optimal processing unit.
As one of the preferred schemes, the battery compartment comprises a battery compartment body arranged in a shell upper cover, a cavity for accommodating the super capacitor is formed by the battery compartment upper cover, and a lithium sub-battery which is used as a standby power supply and is in parallel connection with the super capacitor through a diode is also arranged in the cavity; the lithium sub-battery is connected with the diode which is conducted in one way in series and then connected with the super capacitor in parallel to supply power. The super capacitor is charged through a solar cell panel arranged on the outer side of the upper cover of the shell. Meanwhile, the purpose of setting the lithium battery and the super capacitor is to prevent data loss caused by instantaneous power failure, the super capacitor is used as a main power supply in an actual working state, the lithium battery is used as a standby option, and when the super capacitor has insufficient electric energy or abnormal faults, the lithium battery realizes the function of a power supply to supply power for the main control board and the signal transmitting unit.
In order to realize the optimal design of the structure and improve the integration of the device, preferably, an antenna for transmitting signals and connecting the signal transmitting unit is arranged on the side wall of the battery compartment body.
Still further preferably structural design, be provided with the antenna card strip on the antenna, the antenna card strip is fixed through the antenna card slot that the joint set up on the battery compartment body.
Preferably, a plurality of adsorption mechanisms and a guide rod for transmitting vibration of the detected equipment to the vortex bin for detection are arranged at the lower part of the shell base. The adsorption mechanism preferably adopts a magnet. As will be understood by those of ordinary skill in the art, the adsorption mechanism is a mechanism for firmly attaching the monitoring device of the present application to the device to be detected, and since the electric power main device can find almost all the areas to be adsorbed by the magnet, the adsorption mechanism is provided as a magnet having practicability and versatility. However, other adsorption methods may be adopted, and the magnet is not the only way to realize, and should not be limited to the only way. Meanwhile, it should be noted that, because the present application needs to detect vibration, the adsorption mechanism with better damping effect is not within the scope of the present application, which is contrary to the concept of the present application, and this is explained.
Preferably, the vortex bin is a closed space formed by fixing the main control board on a plurality of mounting seats uniformly arranged along the circumference of the inner wall of the shell base through screws.
Preferably, the sound collection unit comprises a microphone A arranged on the outer wall of the base of the shell and used for collecting environmental noise, a microphone B arranged in the main control cabin and used for detecting noise of the monitoring device, and a microphone C arranged in the vortex cabin and used for detecting vibration sound of detected equipment; the vibration detection unit comprises a MEMS 3-axis digital acceleration sensor used as a calibration reference and an analog acceleration sensor with the bandwidth of 11Khz, which is used as a MEMS single axis for vibration detection.
Specifically, in a further preferred arrangement, the processing unit adopts a NORDIC 52840ARM Cortex-M432 bit processor, a Bluetooth 5.0 protocol stack is embedded, the wireless transmitting module adopts E103-W02 and a TI C3200 industrial grade Wifi module is arranged in the wireless transmitting module, the super capacitor 3 adopts SL1520, and the lithium battery adopts ER14335 battery.
Compared with the prior art, the detection equipment of the power equipment is more traditional, and the detection equipment is concentrated after the accident and is mainly used for analyzing the reasons of the accident after the accident. The voiceprint and vibration combined on-line monitoring device can predict and early warn possible faults of power grid equipment.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a perspective view of a monitoring device of the present application;
FIG. 2 is an exploded view of FIG. 1;
FIG. 3 is an exploded view of FIG. 2 from the reverse perspective;
FIG. 4 is a block diagram of the structure of the present application;
FIG. 5 is a schematic diagram of the present application;
FIG. 6 is a graph of a collected voiceprint information spectrogram;
fig. 7 is a spectrum diagram of the sharpened image of fig. 6.
In the figure: 1-a shell upper cover; 2-a battery compartment upper cover; 3-super capacitor; a 4-lithium sub-battery; 5-an antenna clamping groove; 6-a battery compartment body; 7-antenna clamping strips; 8-antennas; 9, a main control board; 10-a housing base; 11-an adsorption mechanism; 12-a guide rod; 13-a sound receiving aperture; 14-indicator lights; 15-mounting seats; 16-swirl chamber.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present application, it should be noted that, if the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate an azimuth or a positional relationship based on that shown in the drawings, or an azimuth or a positional relationship in which a product of the application is conventionally put in use, it is merely for convenience of describing the present application and simplifying the description, and it is not indicated or implied that the referred device or element must have a specific azimuth, be constructed and operated in a specific azimuth, and thus should not be construed as limiting the present application. Furthermore, the terms "first," "second," and the like in the description of the present application, if any, are used for distinguishing between the descriptions and not necessarily for indicating or implying a relative importance.
Furthermore, the terms "horizontal," "vertical," and the like in the description of the present application, if any, do not denote a requirement that the component be absolutely horizontal or overhang, but rather may be slightly inclined. As "horizontal" merely means that its direction is more horizontal than "vertical", and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present application, it should also be noted that, unless explicitly stated and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" should be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Example 1:
the on-line defect monitoring method for the electric main equipment based on voiceprint and vibration is shown in the accompanying drawings 1-4 in combination with the specification, and comprises an outer shell, wherein the outer shell comprises a shell upper cover 1 and a shell base 10, wherein the shell upper cover 1 is detachably covered with the shell upper cover, the shell base is used for being adsorbed on the surface of the detected equipment, and a battery bin, a main control bin and a voiceprint vortex bin used for receiving vibration of the detected equipment are sequentially arranged in the inner cavity of the outer shell from top to bottom; be provided with in the battery compartment and be used for providing power super capacitor 3, super capacitor 3 is connected with the main control board 9 electricity of setting in the main control storehouse, main control board 9 is including being used for receiving the vibration detecting element of being surveyed equipment vibration production voiceprint, being used for gathering environmental noise respectively, monitoring devices noise and being surveyed equipment vibration sound's sound collection unit to and carry out the processing unit that matches the processing to the many voiceprint information that vibration detecting element and sound collection unit obtained respectively, and with processing unit connect respectively be used for carrying out the memory cell that stores with voiceprint information W after the processing unit handles and be used for with signal transmission unit that voiceprint information W sent. The processing unit adopts a NORDIC 52840ARM Cortex-M432 bit processor and is embedded with a Bluetooth 5.0 protocol stack, the wireless transmitting module adopts E103-W02 and is internally provided with a TI C3200 industrial-grade Wifi module, the super capacitor 3 adopts SL1520, and the lithium battery adopts ER14335 battery.
The battery compartment comprises a battery compartment body 6 arranged in a shell upper cover 1, the battery compartment body 6 forms a cavity for accommodating the super capacitor 3 through the battery compartment upper cover 2, a lithium sub-battery 4 used as a standby power supply and powered by the super capacitor 3 in parallel through a diode is further arranged in the cavity, the purpose that the lithium sub-battery 4 is connected with the super capacitor 3 in parallel through the diode in a unidirectional conduction mode is to avoid the super capacitor 3 to charge the lithium sub-battery 4, the lithium sub-battery 4 only plays a standby role and does not need frequent replacement, and therefore, during normal use, the power supply to the main control board is realized through the super capacitor 3, and the lithium sub-battery 4 only plays a standby role when the super capacitor 3 is in an abnormal state and cannot normally supply power. Charging is performed by a solar cell panel provided outside the housing upper cover 1. Meanwhile, the purpose of setting the lithium-ion battery 4 and the super capacitor 3 is to prevent data loss caused by instantaneous power failure, the super capacitor 3 is used as a main power supply in an actual working state, the lithium-ion battery 4 is used as a standby option, and when the super capacitor 3 has insufficient electric energy or abnormal faults, the lithium-ion battery 4 realizes the function of a power supply to supply power for the main control board and the signal transmitting unit. An antenna 8 for transmitting signals and connecting with the signal transmitting unit is arranged on the side wall of the battery compartment body 6. The antenna 8 is provided with an antenna clamping strip 7, and the antenna clamping strip 7 is fixed through an antenna clamping groove 5 which is clamped on the battery bin body 6.
In this embodiment, a plurality of adsorption mechanisms 11 and a guide rod 12 for transmitting vibration of the detected device to the swirl chamber 16 for detection are disposed at the lower part of the housing base 10. The adsorption mechanism 11 is preferably a magnet. As will be understood by those of ordinary skill in the art, the adsorption mechanism 11 is a mechanism for firmly attaching the monitoring device of the present application to the device to be detected, and since the electric power main device can almost find the area to be adsorbed by the magnet, it is practical and widespread to provide the adsorption mechanism 11 as a magnet. However, other adsorption methods may be adopted, and the magnet is not the only way to realize, and should not be limited to the only way. Meanwhile, it should be noted that since the present application needs to detect vibration, the adsorption mechanism 11 with a better damping effect is not within the scope of the present application, which is not considered as the present application, and this is described herein. The swirl bin 16 is a closed space formed by fixing the main control board 9 on a plurality of mounting seats 15 uniformly arranged along the circumference of the inner wall of the housing base 10 through screws. The sound collection unit comprises a microphone A arranged on the outer wall of the shell base 10 and used for collecting environmental noise, a microphone B arranged in the main control cabin and used for detecting noise of the monitoring device, and a microphone C arranged in the vortex cabin and used for detecting vibration sound of detected equipment; the vibration detection unit comprises a MEMS 3-axis digital acceleration sensor used as a calibration reference and a MEMS single-axis analog acceleration sensor used as vibration detection, and the bandwidth of the vibration detection unit is 11Khz.
Working principle: when the power equipment is used, the shell base 10 is placed on the surface of the detected power equipment, whether the monitoring stability is good or not is judged, then the monitoring device switch is turned on, whether the indicator lamp 14 is normally on or not is checked, and monitoring can be started after the checking work is ready. The sound collecting unit and the vibration detecting unit work simultaneously, the collected voiceprint information and the vibration information are respectively sent to the processing unit for processing, after being processed, the voiceprint vibration information of the device is removed, the processed voiceprint information W is respectively stored in the storage unit, and meanwhile, the voiceprint information W is sent to the background server through the signal transmitting unit for subsequent analysis. The sound collection unit can collect and compare the environmental noise, the noise of the monitoring equipment and the noise sent by the detected power equipment respectively, and is used for removing all the unexpected noise except the noise sent by the detected equipment so as to realize the accuracy control of collecting voiceprints and avoid misjudgment. Meanwhile, the vibration frequency acquired by the vibration detection unit is combined, and the obtained vibration frequency spectrum is converted into voiceprint image information which is compared with voiceprint information of the sound acquisition unit to obtain final voiceprint information W for defect analysis. The detection principle adopted by the structure is different from that of the existing temperature detection, the temperature influence of the detection environment is avoided, meanwhile, accurate voiceprint information can be obtained through multidimensional noise collection and rejection so as to realize accurate defect judgment, and the purpose of accurate detection is achieved. Meanwhile, the whole detection process is free from power outage, any in-service power equipment can be detected, whether defects are likely or not is judged, advance judgment is achieved, and the unpredictable loss and negative consequences caused by power grid power outage due to sudden faults are avoided. The memory cell functions as two: firstly, data loss is prevented, and the defect storage of the device can be met; and secondly, conditions are provided for remote upgrading, and of course, for the detection problem to be solved by the application, the remote upgrading is not necessary to be detected, belongs to an optimal design scheme, and can realize the operation logic of the wireless optimal processing unit.
Example 2:
the defect online monitoring method for the electric main equipment based on voiceprint and vibration is realized by adopting the monitoring device, and specifically comprises the following monitoring steps: the vibration detection unit continuously collects the vibration frequency generated by the detected equipment to obtain the vibration frequency in a collection duration period T, and vibration voiceprint information E in the period T is obtained by converting the vibration frequency in the period T into a frequency distribution diagram; simultaneously with the steps, the sound collecting unit respectively detects the environmental noise, the noise of the monitoring device and the noise sent by the detected equipment through three paths in the period T, wherein the microphone A, the microphone B and the microphone C collect voiceprint information A, voiceprint information B and voiceprint information C; the processing unit eliminates the information containing the voiceprint information A and the voiceprint information B in the voiceprint information C to obtain voiceprint information D, and extracts the information matched with the voiceprint information D and the voiceprint information E to obtain voiceprint information W sent by the detected equipment; and the voiceprint information W is sent to a background server by utilizing a signal transmitting unit, and the defect condition and the defect type of the detected equipment are accurately obtained by comparing the voiceprint information W with the defect type of the existing power equipment.
According to the method, the equipment vibration and the sound information are compared to form double-layer verification, so that environmental noise and other noise which can be acquired through the microphone are removed, the sound print information of the inherent sound emitted by the pure equipment is obtained, meanwhile, the accurate sound print information inherent to the equipment is obtained through the parallel acquisition of the vibration information of the equipment, the negative influence of the environmental interference on a detection result is avoided, and the purpose of accurate judgment is achieved. The period T can be considered to be set arbitrarily, the purpose of setting the period T is to prevent the possibility of distortion of comparison results caused by discrete comparison of acquired information, and when voiceprint information is continuously compared, the mutual comparison matching error of data in a section is far lower than that of data in a point, so that the accuracy of detection results is ensured. The integrated monitoring equipment provided by the application realizes the integration of the method, which is an obvious progress compared with the prior art. Although the hardware including the signal transmitting unit, the processing unit, the vibration detecting unit and the sound collecting unit adopted in the application is realized by the products of the existing models in the market, the integral system structure and the processing method are the first example in the defect detection of the power main equipment. The application creatively adopts three-channel sound collection to carry out cross comparison, eliminates the influence of environmental noise, and can obtain accurate equipment voiceprint information, thereby providing good conditions for accurate defect discrimination.
Compared with the prior art, the detection equipment of the power equipment is more traditional, and the detection equipment is concentrated after the accident and is mainly used for analyzing the reasons of the accident after the accident. The voiceprint and vibration combined on-line monitoring device can predict and early warn possible faults of power grid equipment.
Specifically: for example, in the detection period T of 3 seconds, the voiceprint information a collected by the microphone a protects the bird's singing "a machine-to-machine" in the environment, the voiceprint information B collected by the microphone B includes the fine noise "the hum" existing in the detection device itself, the voiceprint information C detected by the microphone C mainly includes the uniform "creak" transmitted from the guide rod 12 in the swirl chamber 16, but at least includes the integrated sound of the bird's singing "in the environment and the fine noise" the hum "existing in the detection device itself, then a collected spectrum image is formed in the voiceprint image corresponding to the voiceprint information C collected by the microphone C, the bird's singing" included in the voiceprint information B and the voiceprint information a is removed from the information C, the remaining main sound transmitted from the integrated sound of the "hum" existing in the detection device itself is the target sound required to be detected, that is, i.e. the voiceprint information D is not required to be compared with the detected by the detection unit, and the vibration information D is not accurately compared with the detected information D, and the defect is clearly obtained. However, in the actual detection environment, the noise decibel of the environment is uncontrollable, and when the noise decibel of the environment is very large, the vibration of the detected power equipment is also affected, so that the voiceprint information C detected in the vortex bin 16 has the influence caused by the environmental noise, if the environmental noise and the fine noise information existing in the detection device are not detected and removed respectively through three microphones in advance, the finally obtained voiceprint information cannot truly and objectively reflect the voiceprint information of the power main equipment, and the defect analysis cannot be accurately realized. Therefore, in summary, the three-way microphone is adopted to collect the environmental noise, the noise generated by the detection device and the sound in the vortex bin 16 generated by the vibration of the detected power main device, and the method is also an effective means for filtering out the redundant noise to obtain the real voiceprint of the detected power main device, so that scientific basis is provided for pre-judging in advance, the detection is clear after the device is damaged, and the device is replaced after the device is damaged, which causes a great amount of time waste, labor and financial resources and resource loss.
Example 3:
1-7 of the accompanying drawings in combination with the description, a defect online monitoring method for an electric power main device based on voiceprint and vibration is characterized by comprising the following monitoring steps:
step S01: an on-line monitoring device comprising a vibration detection unit, a microphone A, a microphone B, a microphone C, a processing unit and a signal transmitting unit which is connected with the processing unit and is used for being in communication connection with a background server is arranged on an outer shell of detected equipment and is physically fixed;
step S02: the vibration detection unit continuously collects the vibration frequency generated by the detected equipment to obtain the vibration frequency in a collection duration period T, and vibration voiceprint information E in the period T is obtained by converting the vibration frequency in the period T into a frequency distribution diagram;
step S03: simultaneously with the steps, the sound collecting unit respectively detects the environmental noise, the noise of the monitoring device and the noise sent by the detected equipment through three paths in the period T, wherein the microphone A, the microphone B and the microphone C collect voiceprint information A, voiceprint information B and voiceprint information C;
step S04: the processing unit eliminates the information containing the voiceprint information A and the voiceprint information B in the voiceprint information C to obtain voiceprint information D, and extracts the information matched with the voiceprint information D and the voiceprint information E to obtain voiceprint information W sent by the detected equipment;
step S05: and the voiceprint information W is sent to a background server by utilizing a signal transmitting unit, and the defect condition and the defect type of the detected equipment are accurately obtained by comparing the voiceprint information W with the defect type of the existing power equipment. In the step S02, the period T is 3-5 seconds. The step S04 further comprises sharpening the voiceprint information A, the voiceprint information B and the voiceprint information C in the voiceprint information D acquisition process; the sharpening step specifically adopts that the amplitude value of the voiceprint information A/B/C which needs to be sharpened is increased or reduced by 2-3% at the same frequency, so as to form the sharpened voiceprint information amplitude band voiceprint information A which corresponds to the voiceprint information A/B/C + /B + /C + ；
The process of obtaining the voiceprint information W further includes a step of sharpening the voiceprint information D and/or the voiceprint information E; the sharpening step specifically adopts the steps of increasing or decreasing the amplitude value corresponding to the voiceprint information D/E to be sharpened at the same frequency by 2-3%, and shapingSharpening voiceprint information amplitude band voiceprint information D corresponding to voiceprint information D/E + /E + 。
The sharpening function in this embodiment is better to facilitate rejection/matching/extraction between multiple voiceprint information, so as to increase the success of one-time operation. Of course, as known to those skilled in the art, the value of the sharpening setting can be flexibly set according to the actual situation for different monitoring environments, including but not limited to setting within a limited range of 2-3% increase or decrease. The greater the sharpening amplitude is, the greater the success of the one-time reject/match/extract operation. The principle is that composite voice and voiceprint information can be stripped according to the prior voice noise reduction technology on the premise of not sharpening according to a pure theory, but in the actual detection acquisition process, various voiceprint information can be read by various detection environments, especially when a plurality of voiceprint information which are different but have similar frequency and amplitude are matched together, if sharpening is not carried out, matching voiceprint information can not be found easily in a period T. That is, the intersection within the period T cannot be found in the two pieces of voiceprint information, in which case, if any one piece of voiceprint information is sharpened at the corresponding amplitude of the corresponding frequency point, i.e., a small range is increased or decreased, a narrowest curve may also become a band with a certain width presented according to the original rule, and the band may be understood to be a limited or wireless superposition of the original voiceprint information, and the width of the band depends on the ratio of sharpening; for example, fig. 6 and 7 are each a comparison graph before and after sharpening 3% with the sampled voiceprint information, and the amplitude value displayed on the same frequency after sharpening is changed from discrete to continuous, that is, the amplitude is widened. Wherein, the abscissa in fig. 6 and 7 is frequency and the ordinate is amplitude; after the processing, the rejection/matching/extraction can be normally performed so as to achieve the result of one-time successful operation.
It should be noted that the sharpening process should follow from large to small until the one-time operation cannot be successfully performed, and the numerical value of the last successful operation is extracted, which has the advantage of avoiding data distortion caused by overlarge sharpening and negatively affecting the judgment result. For example, in the actual monitoring process, if the minimum sharpening percentage is 2.8 percentage points, the greater the forward deviation is 2.8, the lower the accuracy of the obtained monitoring result is, and the sharpening of less than 2.8 percentage points cannot normally perform data operation and cannot obtain the detection result, so that in the sharpening range setting process, the data operation must be performed from large to small.
Of course, the sharpening step is an optimization step for improving the success of the one-time detection, and is not necessary, and the necessity of sharpening can be avoided or obviously reduced by improving the reading precision of detection hardware such as a microphone; the sharpening step is only based on detection reality and the existing hardware cost consideration, so that the adaptability and compatibility of the existing monitoring device to different environments can be greatly improved.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (7)
1. The defect online monitoring method for the electric main equipment based on voiceprint and vibration is characterized by comprising the following monitoring steps of: step S01: an on-line monitoring device comprising a vibration detection unit, a microphone A, a microphone B, a microphone C, a processing unit and a signal transmitting unit which is connected with the processing unit and is used for being in communication connection with a background server is arranged on an outer shell of detected equipment and is physically fixed; step S02: the vibration detection unit continuously collects the vibration frequency generated by the detected equipment to obtain the vibration frequency in a collection duration period T, and vibration voiceprint information E in the period T is obtained by converting the vibration frequency in the period T into a frequency distribution diagram; step S03: simultaneously with the steps, the sound collecting unit respectively detects the environmental noise, the noise of the monitoring device and the noise sent by the detected equipment through three paths in the period T, wherein the microphone A, the microphone B and the microphone C collect voiceprint information A, voiceprint information B and voiceprint information C; step S04: the processing unit eliminates the information containing the voiceprint information A and the voiceprint information B in the voiceprint information C to obtain voiceprint information D, and extracts the information matched with the voiceprint information D and the voiceprint information E to obtain voiceprint information W sent by the detected equipment; step S05: the method comprises the steps that voiceprint information W is sent to a background server by using a signal transmitting unit, and the defect situation and the defect type of detected equipment are accurately obtained by comparing the voiceprint information W with the defect type of existing power equipment;
the on-line monitoring device is provided with an outer shell, wherein the outer shell comprises a shell upper cover (1) and a shell base (10), the shell upper cover and the shell base are detachably covered with each other, the shell base is used for being adsorbed on the surface of detected equipment, and a battery bin, a main control bin and a voiceprint vortex bin used for receiving vibration of the detected equipment are sequentially arranged in the inner cavity of the outer shell from top to bottom; the battery compartment is internally provided with a super capacitor (3) for providing a power supply, the super capacitor (3) is electrically connected with a main control board (9) arranged in the main control compartment, the main control board (9) comprises a vibration detection unit for receiving sound patterns generated by vibration of detected equipment, a sound acquisition unit for respectively acquiring environmental noise, monitoring device noise and vibration sound of the detected equipment, a processing unit for carrying out matching processing on a plurality of pieces of sound pattern information respectively acquired by the vibration detection unit and the sound acquisition unit, and a storage unit connected with the processing unit and used for storing the sound pattern information W processed by the processing unit and a signal transmitting unit used for transmitting the sound pattern information W; the battery compartment comprises a battery compartment body (6) arranged in the upper cover (1) of the shell, the battery compartment body (6) forms a cavity for accommodating the super capacitor (3) through the upper cover (2) of the battery compartment, a lithium sub-battery (4) used as a standby power supply and used for supplying power to the super capacitor (3) in parallel through a diode is also arranged in the cavity, and the super capacitor (3) is charged through a solar panel arranged outside the upper cover (1) of the shell;
the lower part of the shell base (10) is provided with a plurality of adsorption mechanisms (11), and the adsorption mechanisms (11) adopt magnets and guide rods (12) for transmitting vibration of detected equipment to the vortex bin (16) for detection.
2. The online defect monitoring method for the electric power main equipment based on voiceprint and vibration according to claim 1, wherein the defect online monitoring method is characterized by comprising the following steps of: in the step S02, the period T is 3-5 seconds.
3. The online defect monitoring method for the electric power main equipment based on voiceprint and vibration according to claim 2, wherein the defect online monitoring method is characterized by comprising the following steps of: the step S04 further comprises sharpening the voiceprint information A, the voiceprint information B and the voiceprint information C in the voiceprint information D acquisition process; the sharpening step specifically adopts that the amplitude value of the voiceprint information A/B/C which needs to be sharpened is increased or reduced by 2-3% at the same frequency, so as to form the sharpened voiceprint information amplitude band voiceprint information A which corresponds to the voiceprint information A/B/C + /B + /C + ；
The process of obtaining the voiceprint information W further includes a step of sharpening the voiceprint information D and/or the voiceprint information E; the sharpening step specifically adopts that the amplitude value of the voiceprint information D/E to be sharpened is increased or reduced by 2-3% at the same frequency, so as to form the sharpened voiceprint information amplitude band voiceprint information D corresponding to the voiceprint information D/E + /E + 。
4. The online defect monitoring method for the electric power main equipment based on voiceprint and vibration according to claim 1, wherein the defect online monitoring method is characterized by comprising the following steps of: an antenna (8) used for transmitting signals and connected with the signal transmitting unit is arranged on the side wall of the battery compartment body (6); the antenna is characterized in that an antenna clamping strip (7) is arranged on the antenna (8), and the antenna clamping strip (7) is fixed through an antenna clamping groove (5) which is clamped on the battery bin body (6).
5. The online defect monitoring method for the electric power main equipment based on voiceprint and vibration according to claim 1, wherein the defect online monitoring method is characterized by comprising the following steps of: the vortex bin (16) is a closed space formed by fixing the main control board (9) on a plurality of mounting seats (15) uniformly arranged along the circumference of the inner wall of the shell base (10) through screws.
6. The online defect monitoring method for the electric power main equipment based on voiceprint and vibration according to claim 5, wherein the defect online monitoring method is characterized by comprising the following steps of: the sound collection unit comprises a microphone A arranged on the outer wall of the shell base (10) and used for collecting environmental noise, a microphone B arranged in the main control cabin and used for detecting noise of the monitoring device, and a microphone C arranged in the vortex cabin and used for detecting vibration sound of detected equipment; the vibration detection unit comprises a MEMS 3-axis digital acceleration sensor serving as a calibration reference and a MEMS single-axis analog acceleration sensor serving as vibration detection, and the bandwidth is 11Khz.
7. The online defect monitoring method for the electric power main equipment based on voiceprint and vibration according to claim 6, wherein the defect online monitoring method is characterized by comprising the following steps of: the processing unit adopts a NORDIC 52840ARM Cortex-M432 bit processor and is embedded with a Bluetooth 5.0 protocol stack, the wireless transmitting module adopts E103-W02 and is internally provided with a TI C3200 industrial-grade Wifi module, the super capacitor 3 adopts SL1520, and the lithium battery adopts ER14335 battery.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911139766.7A CN110867195B (en) | 2019-11-20 | 2019-11-20 | Online defect monitoring method for electric main equipment based on voiceprint and vibration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911139766.7A CN110867195B (en) | 2019-11-20 | 2019-11-20 | Online defect monitoring method for electric main equipment based on voiceprint and vibration |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110867195A CN110867195A (en) | 2020-03-06 |
| CN110867195B true CN110867195B (en) | 2023-12-12 |
Family
ID=69655448
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911139766.7A Active CN110867195B (en) | 2019-11-20 | 2019-11-20 | Online defect monitoring method for electric main equipment based on voiceprint and vibration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110867195B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111487493B (en) * | 2020-04-28 | 2022-07-19 | 深圳力维智联技术有限公司 | Data acquisition device and system for power system equipment |
| CN114034984A (en) * | 2021-11-18 | 2022-02-11 | 贵州电网有限责任公司 | Portable power equipment on-line monitoring device |
| CN113838480B (en) * | 2021-11-26 | 2022-03-11 | 青岛海尔工业智能研究院有限公司 | Washing machine abnormal sound detection method and device and electronic equipment |
| CN115085760B (en) * | 2022-08-19 | 2023-01-10 | 国网江苏省电力有限公司泰州供电分公司 | Electric power voiceprint data acquisition system based on spread spectrum communication networking technology |
| CN115420495B (en) * | 2022-11-07 | 2023-03-10 | 山东百顿减震科技有限公司 | State monitoring method and device for building damping device |
| CN116698976A (en) * | 2023-08-07 | 2023-09-05 | 安徽中科昊音智能科技有限公司 | Petroleum manifold bolt fracture diagnosis method based on voiceprint recognition |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201319539A (en) * | 2011-11-07 | 2013-05-16 | Univ Nat Changhua Education | Measurement system for diagnosing ball screw preload loss by vibration signal and voiceprint signal |
| CN104964738A (en) * | 2015-06-10 | 2015-10-07 | 国家电网公司 | Noise separation-based power transformer noise assessment method |
| CN204788643U (en) * | 2015-07-20 | 2015-11-18 | 国家电网公司 | System for improved generation transformer, reactor make an uproar sound localization and vibration detection |
| CN206321395U (en) * | 2016-12-30 | 2017-07-11 | 天津市誉航润铭科技发展有限公司 | A kind of aqueduct leakage monitoring sensor of chaos voiceprint analysis technology |
| CN107505399A (en) * | 2017-10-09 | 2017-12-22 | 华润建筑有限公司 | A kind of intelligent reinforced bar sleeve grouting defect inspection method based on vocal print feature |
| CN107748314A (en) * | 2017-10-18 | 2018-03-02 | 国网重庆市电力公司北碚供电分公司 | Transformer Faults Analysis system based on sound wave shock detection |
| CN207473391U (en) * | 2017-12-04 | 2018-06-08 | 陕西南洋迪克家具制造有限公司 | Five-axis NC Machining Center fault monitoring device |
| WO2018130217A1 (en) * | 2017-01-16 | 2018-07-19 | 舍弗勒技术股份两合公司 | Bearing status online monitoring system and method based on optical fiber vibration sensing |
| CN109658954A (en) * | 2018-12-27 | 2019-04-19 | 广州势必可赢网络科技有限公司 | A kind of fault detection method for electromechanical equipment, apparatus and system |
| CN109764952A (en) * | 2019-01-24 | 2019-05-17 | 甘特科技(北京)有限公司 | A kind of detection of dither axis, rotating speed measurement method and device |
| JP2019091037A (en) * | 2017-11-15 | 2019-06-13 | ネイバー コーポレーションＮＡＶＥＲ Ｃｏｒｐｏｒａｔｉｏｎ | Method and system for automatic failure detection of artificial intelligence equipment |
| CN110375846A (en) * | 2019-08-14 | 2019-10-25 | 杭州柯林电气股份有限公司 | Perceive the device of vocal print vibration inline diagnosis power transformer interior fault |
| CN110458179A (en) * | 2018-05-07 | 2019-11-15 | 光子瑞利科技（北京）有限公司 | Based on i-vector local weighted fiber-optic vibration Recognition of Vibration Sources classification method and system |
-
2019
- 2019-11-20 CN CN201911139766.7A patent/CN110867195B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201319539A (en) * | 2011-11-07 | 2013-05-16 | Univ Nat Changhua Education | Measurement system for diagnosing ball screw preload loss by vibration signal and voiceprint signal |
| CN104964738A (en) * | 2015-06-10 | 2015-10-07 | 国家电网公司 | Noise separation-based power transformer noise assessment method |
| CN204788643U (en) * | 2015-07-20 | 2015-11-18 | 国家电网公司 | System for improved generation transformer, reactor make an uproar sound localization and vibration detection |
| CN206321395U (en) * | 2016-12-30 | 2017-07-11 | 天津市誉航润铭科技发展有限公司 | A kind of aqueduct leakage monitoring sensor of chaos voiceprint analysis technology |
| WO2018130217A1 (en) * | 2017-01-16 | 2018-07-19 | 舍弗勒技术股份两合公司 | Bearing status online monitoring system and method based on optical fiber vibration sensing |
| CN107505399A (en) * | 2017-10-09 | 2017-12-22 | 华润建筑有限公司 | A kind of intelligent reinforced bar sleeve grouting defect inspection method based on vocal print feature |
| CN107748314A (en) * | 2017-10-18 | 2018-03-02 | 国网重庆市电力公司北碚供电分公司 | Transformer Faults Analysis system based on sound wave shock detection |
| JP2019091037A (en) * | 2017-11-15 | 2019-06-13 | ネイバー コーポレーションＮＡＶＥＲ Ｃｏｒｐｏｒａｔｉｏｎ | Method and system for automatic failure detection of artificial intelligence equipment |
| CN207473391U (en) * | 2017-12-04 | 2018-06-08 | 陕西南洋迪克家具制造有限公司 | Five-axis NC Machining Center fault monitoring device |
| CN110458179A (en) * | 2018-05-07 | 2019-11-15 | 光子瑞利科技（北京）有限公司 | Based on i-vector local weighted fiber-optic vibration Recognition of Vibration Sources classification method and system |
| CN109658954A (en) * | 2018-12-27 | 2019-04-19 | 广州势必可赢网络科技有限公司 | A kind of fault detection method for electromechanical equipment, apparatus and system |
| CN109764952A (en) * | 2019-01-24 | 2019-05-17 | 甘特科技(北京)有限公司 | A kind of detection of dither axis, rotating speed measurement method and device |
| CN110375846A (en) * | 2019-08-14 | 2019-10-25 | 杭州柯林电气股份有限公司 | Perceive the device of vocal print vibration inline diagnosis power transformer interior fault |
Non-Patent Citations (1)
| Title |
|---|
| "高压断路器振声联合故障诊断方法";赵书涛;《电工技术学报》;20140731;第29卷(第7期);第216-221页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110867195A (en) | 2020-03-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110867195B (en) | Online defect monitoring method for electric main equipment based on voiceprint and vibration | |
| CN110780144A (en) | Be used for electric power owner equipment voiceprint and vibration to unite on-line monitoring device | |
| CN209016767U (en) | Charging box and wireless headset charging system | |
| CN201403203Y (en) | Microphone electro-acoustic testing system | |
| CN110091215A (en) | A kind of real-time monitoring Milling Force, the wireless transmission intelligence knife handle detection system of vibration | |
| CN105157815A (en) | MEMS sensor for multidirectional high-speed rail noise test and method of MEMS sensor | |
| CN112987083A (en) | Node instrument state data recovery system based on LORA | |
| CN105301507A (en) | Method and device for rapid detection of lead-acid battery capacity | |
| CN103336266A (en) | Portable transformer substation noise imaging positioning detection device | |
| CN105911379A (en) | Distributed power fault recording system for intelligent power grid | |
| CN115604643B (en) | Automatic detection and positioning method for poor production of mobile phone charger | |
| CN115508614B (en) | Airborne non-contact type high-voltage electricity testing method and system | |
| CN116046147A (en) | Intelligent noise sensor | |
| CN219533308U (en) | Ultrahigh frequency and audible sound integrated device for detecting partial discharge of dry-type reactor | |
| CN115811672A (en) | Handheld inspection instrument for power equipment detection, inspection method and inspection device | |
| CN206235390U (en) | A kind of hand-held vibration noise measuring instrument with writing function | |
| CN114866973A (en) | Low-power-consumption waveform data acquisition method and terminal | |
| CN109013400A (en) | A kind of internal resistance detection machine for rechargeable battery solder joint | |
| CN112887885B (en) | Hearing aid fault automatic detection system and hearing aid system | |
| CN107462681B (en) | Modular air mass detecting instrument | |
| CN207472848U (en) | A kind of interface agency and modular air mass detecting instrument | |
| CN201004269Y (en) | Portable shift and acceleration vibration signal testing system | |
| CN220585295U (en) | Battery monitoring module | |
| CN214756874U (en) | Audio acquisition device, audio acquisition transmission device and audio processing system | |
| CN216718656U (en) | Transformer voiceprint monitoring equipment convenient to maintain |
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 |