CN102434387A - Draught fan detection and diagnosis system - Google Patents

Draught fan detection and diagnosis system Download PDF

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Publication number
CN102434387A
CN102434387A CN2011103643199A CN201110364319A CN102434387A CN 102434387 A CN102434387 A CN 102434387A CN 2011103643199 A CN2011103643199 A CN 2011103643199A CN 201110364319 A CN201110364319 A CN 201110364319A CN 102434387 A CN102434387 A CN 102434387A
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CN
China
Prior art keywords
data
module
blower fan
control
parameters
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CN2011103643199A
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Chinese (zh)
Inventor
许仁萍
张峰武
魏煜锋
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三一电气有限责任公司
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Priority to CN2011103643199A priority Critical patent/CN102434387A/en
Publication of CN102434387A publication Critical patent/CN102434387A/en

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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Abstract

The invention discloses a draught fan detection and diagnosis system, which is used for detection and fault diagnosis of a wind generating set; the detection and diagnosis system comprises a data acquisition module, a data transmission module, a data storage module, a data analysis and fault diagnosis module and a control and interaction module; the data analysis and fault diagnosis module is communicated with the data storage module and is used for analyzing variable data parameters and diagnosing the cause of the fault of a draught fan, the control and interaction module can realize data sharing with a control system of the draught fan or a central monitoring system in a wind field. The draught fan detection and diagnosis system can automatically diagnose the causes of common faults of the draught fan, shorten the maintenance cycle and reduce the maintenance cost.

Description

Blower fan detects diagnostic system
Technical field
The present invention relates to the wind-driven generator technical group field, particularly a kind of blower fan detects diagnostic system.
Background technique
Wind generating technology is in suitable region Construction of Wind farm, and wind power generating set (being designated hereinafter simply as blower fan) is installed on the blower foundation of wind power plant, wind energy is converted into the technology of electric energy through blower fan.Blower fan generally comprises blower fan tower barrel, cabin and impeller, and generator and gear-box are installed in the cabin, and the main shaft of gear-box stretches out in the outside in cabin, and impeller is installed on the main shaft.The bottom of blower fan tower barrel is provided with and is used for and the blower foundation flange connecting, and the cabin is installed in the top of blower fan tower barrel, and impeller rotates under wind, and the generator operation that drives in the cabin produces electric energy, realizes by the conversion of wind energy to electric energy.
Along with the increasing of wind-driven generator pool-size, the increase of quantity and the lengthening of working time; The problem that perplexs whole wind-powered electricity generation industry has also occurred thereupon, and that is exactly that the unit rate of fault increases, even causes shutting down; Thereby have a strong impact on generated energy, cause enormous economic loss.For holding wind-powered electricity generation operating states of the units and health status; External wind-powered electricity generation unit is equipped with on-line monitoring system mostly; Running state to blower fan is monitored in real time, then reports to the police when signal surpasses limit value when monitoring, but after above-mentioned on-line monitoring system is pinpointed the problems; There is following problem: can't accurately diagnose the reason that is out of order on the one hand, still need manual work to carry out field diagnostic; Can't be in real time after going wrong on the other hand and control system mutual, the operation strategy after confirming to go wrong.In addition, for each typhoon machine is provided with an on-line monitoring system, also be a very big test for the cost of blower fan.
In view of this, how fan monitor of the prior art system being made improvement, thereby can after going wrong, diagnose out the reason of fan trouble, is the problem that those skilled in the art need solution badly.
Summary of the invention
The technical problem that the present invention will solve detects diagnostic system for a kind of blower fan is provided, and this blower fan detects the reason that diagnostic system can automatic diagnosis goes out common fan trouble, shortens service cycle, reduces maintenance cost.
For solving the problems of the technologies described above, the present invention provides a kind of blower fan to detect diagnostic system, is used for detection and fault diagnosis to wind power generating set, comprising:
Data acquisition module, this data acquisition module is located on the blower fan, is used for the various data parameters of blower fan are gathered;
Data transmission module, this data transmission module is connected with said data acquisition module communication, is used to transmit the data parameters of said data collecting module collected;
Data memory module, this data memory module is connected with said data transmission module communication, to be used to store the data parameters that the data transmission module transmission comes;
Data analysis and fault diagnosis module, this data analysis and fault diagnosis module are connected with said data memory module communication, are used for the data parameters of said data memory module storage is analyzed, and diagnose out the reason of fan trouble.
Preferably, said blower fan detection diagnostic system also comprises the control interactive module;
Said control interactive module is connected with said data memory module communication; Simultaneously; Said control interactive module also is connected with the control system communication of blower fan; So that the data parameters of said data collecting module collected and the control system data information stored of blower fan are carried out information comparison, and then the running state of assessment blower fan; Perhaps said control interactive module is sent instruction according to external environment condition to the control system of blower fan, obtains the test operating mode of anticipation with the adjustment control strategy.
Preferably, said blower fan detection diagnostic system also comprises Surveillance center and flowing test car;
Said Surveillance center rests in the specified position that can cover the full blast field;
Said flowing test car carries the tester and data acquisition module moves to blower fan to be measured, so that the tester is installed on said data acquisition module on the blower fan to be measured.
Preferably, said data transmission module comprises and is located at the vehicular station in the Surveillance center and is located at the airborne radio station on the blower fan;
Said airborne radio station sends to said vehicular station with the data parameters of said data collecting module collected, and said vehicular station is stored into the data parameters that receives in the said data memory module.
Preferably, said data acquisition module comprises first data collecting instrument, and said first data collecting instrument carries out the data capture of vibration parameters, parameters,acoustic, temperature field and electrical quantity; Said first data collecting instrument sends the data parameters that it collects through said airborne radio station.
Preferably, said data acquisition module comprises second data collecting instrument, and said second data collecting instrument carries out the collection of Control Parameter and load data; Said second data collecting instrument sends the data parameters that it collects through said airborne radio station.
Preferably; In various load datas and control data; Load signal, control data signal and acceleration signal all are connected with said second data collecting instrument through the CAN bus at the bottom of the two included blade loading signal, main shaft load signal, cat head load signal, the tower, so that said second data collecting instrument carries out the collection of various load datas and control data.
Preferably, said Surveillance center is provided with data server, and said data memory module is located on the said data server; Also be provided with client end in the said Surveillance center, said data analysis and fault diagnosis module are located on the said client end.
Preferably, said data analysis and fault diagnosis module comprise and carry out pretreated first submodule of data, so that the operation of eliminating the smoothing processing of trend term, data or removing the time domain average noise reduction.
Preferably, said data analysis and fault diagnosis module comprise the data of gathering are carried out second submodule that time domain handles, and the 3rd submodule that the data of gathering are carried out frequecny domain analysis.
Preferably, said data analysis and fault diagnosis module also comprise the 4th submodule, and image data and control data that said the 4th submodule obtains correspondence constantly are corresponding one by one, so that carry out the operating mode self grooming.
Preferably; Said data analysis and fault diagnosis module also comprise the 5th submodule; Said the 5th submodule is handled through time domain and frequency domain and is carried out the feature extraction of peak-to-peak value, effective value, frequency division amplitude or kurtosis coefficient, so that utilize embedded nerual network technique to carry out the self diagnosis of fault.
Preferably, said data analysis and fault diagnosis module also comprise the 6th submodule, and said the 6th submodule is formed expert team through remote collaborative, so that confirm the reason of fan trouble.
In the present invention; Said blower fan detects diagnostic system and comprises data acquisition module, data transmission module, data memory module and data analysis and fault diagnosis module; This data analysis and fault diagnosis module are connected with the data memory module communication; Thereby can analyze, and go out the reason of fan trouble according to preset diagnosis of program to various supplemental characteristics.
Hence one can see that, and blower fan provided by the present invention detects the reason that diagnostic system can automatic diagnosis goes out fan trouble, shortens service cycle, reduces maintenance cost.
In a kind of embodiment; Blower fan provided by the present invention detects diagnostic system and also comprises the control interactive module; Said control interactive module is connected with said data memory module communication, and simultaneously, said control interactive module also is connected with the control system communication of blower fan.Particularly, this control interactive module is main carries out data interaction with control system of wind turbines or wind field central monitoring system, and the data time domain statistical value after the system acquisition and blower fan control system time domain statistical value compare, the mutual checking; In addition, can obtain the control data in the control system in real time, corresponding one by one with the test data of data collecting module collected, be convenient to assess fan operation state and fault diagnosis; Moreover, can also control fan operation according to external environment condition, the adjustment control strategy obtains the test operating mode of anticipation, simultaneously can also access control strategy correctness.
Description of drawings
Fig. 1 is the working principle schematic representation of an embodiment of the present invention apoplexy machine testing diagnostic system;
Fig. 2 is that the blower fan among Fig. 1 detects schematic diagram datas such as diagnostic system collection vibration parameters;
Fig. 3 is the schematic representation that the blower fan among Fig. 1 detects diagnostic system acquisition controlling data and load data;
Fig. 4 detects the schematic representation that diagnostic system carries out wireless transmission for the blower fan among Fig. 1;
Fig. 5 is that the blower fan among Fig. 1 detects the data analysis of diagnostic system and the software architecture diagram of fault diagnosis module;
Fig. 6 is the working principle schematic representation that carries out fault self-diagnosis of data analysis among Fig. 5 and fault diagnosis module.
Wherein, the corresponding relation between reference character and the component names is among Fig. 1 to Fig. 6:
1 Surveillance center; 2 flowing test cars; 3 client ends; 4 vehicular stations; 5 data servers; 6 display unit; 7 blower fans; 8 testers; 9 data acquisition modules; 10 airborne radio stations; 11 Local Area Networks.
Embodiment
Core of the present invention detects diagnostic system for a kind of blower fan is provided, and this blower fan detects the reason that diagnostic system can automatic diagnosis goes out fan trouble, shortens service cycle, reduces maintenance cost.
In order to make those skilled in the art understand technological scheme of the present invention better, the present invention is done further detailed description below in conjunction with accompanying drawing and specific embodiment.
Please refer to Fig. 1, Fig. 1 is the working principle schematic representation of an embodiment of the present invention apoplexy machine testing diagnostic system.
In one embodiment, blower fan provided by the present invention detects diagnostic system, is used for detection and fault diagnosis to wind power generating set, comprising:
Data acquisition module, this data acquisition module is located on the blower fan, is used for the data parameters of blower fan is gathered;
Data transmission module, this data transmission module is connected with the data acquisition module communication, is used to transmit the data parameters of data collecting module collected;
Data memory module, this data memory module is connected with the data transmission module communication, to be used to store the data parameters that the data transmission module transmission comes;
Data analysis and fault diagnosis module, this data analysis and fault diagnosis module are connected with the data memory module communication, are used for the data parameters of data memory module storage is analyzed, and diagnose out the reason of fan trouble.
In the present invention, owing to had data analysis and fault diagnosis module, thereby can analyze various supplemental characteristics, and go out the reason of fan trouble according to preset diagnosis of program.In addition, blower fan provided by the present invention detects diagnostic system and also has the low advantage with high working efficiency of cost.
In addition, in the present invention, blower fan detects diagnostic system can also comprise the control interactive module; The control interactive module is connected with the data memory module communication; Simultaneously; The control interactive module also is connected with the control system communication of blower fan, so that the data parameters of data collecting module collected and the control system data information stored of blower fan are carried out information comparison, and then the running state of assessment blower fan; Perhaps control interactive module and send instruction to the control system of blower fan, obtain the test operating mode of anticipation with the adjustment control strategy according to external environment condition.
Particularly, this control interactive module is main carries out data interaction with control system of wind turbines or wind field central monitoring system, and the data time domain statistical value after the system acquisition and blower fan control system time domain statistical value compare, the mutual checking; In addition, can obtain the control data in the control system in real time, corresponding one by one with the test data of data collecting module collected, be convenient to assess fan operation state and fault diagnosis; Moreover, can also control fan operation according to external environment condition, the adjustment control strategy obtains the test operating mode of anticipation, simultaneously can also access control strategy correctness.
On the basis of technique scheme, can make further design.
Such as, as shown in Figure 1, blower fan detects diagnostic system and also comprises Surveillance center 1 and flowing test car 2; Flowing test car 2 carries tester 8 and moves to blower fan to be measured with data acquisition module, so that tester 8 is installed on data acquisition module on the blower fan to be measured.Long-range sampling parameter and the data transfer mode of being provided with after the equipment installation; The data collecting module collected real time data also is transferred to data memory module through data transmission module; Tester 8 utilizes data analysis and fault diagnosis module to analyze image data, and blower fan is assessed and fault diagnosis, and shows fan condition and analysis result through display unit 6; Controlling interactive module simultaneously can carry out alternately with control system, control fan operation and control strategy adjustment.
In addition, as shown in Figure 1, Surveillance center 1 is provided with data server 5, and data memory module is located on the data server 5; Also be provided with client end 3 in the Surveillance center 1, data analysis and fault diagnosis module and control interactive module all are located on the client end 3.
On the basis of technique scheme, can make concrete design to the collection of data, particularly, please refer to Fig. 2 and Fig. 3, Fig. 2 is that the blower fan among Fig. 1 detects schematic diagram datas such as diagnostic system collection vibration parameters; Fig. 3 is the schematic representation that the blower fan among Fig. 1 detects diagnostic system acquisition controlling data and load data.
Data acquisition module can be data collecting instrument 9, and this data collecting instrument 9 comprises first data collecting instrument, and this first data collecting instrument can be vibrometer, and first data collecting instrument carries out the data capture of vibration parameters, parameters,acoustic, temperature field and electrical quantity; First data collecting instrument sends the data parameters that it collects through wire transmission or Wireless transmission mode.
Particularly; As shown in Figure 2; This first data collecting instrument can be vibrometer; The wind wheel of blower fan, main bearing, gear-box and generator constitute vibration source, obtain data informations such as temperature parameter, electrical quantity, parameters,acoustic, rotating speed, vibration acceleration, vibration velocity and vibration displacement through above-mentioned vibrometer, and then are sent to storage on the data server 5 in the Surveillance center 1 through data transmission module.
In addition, data collecting instrument 9 comprises second data collecting instrument, and second data collecting instrument carries out the collection of Control Parameter and load data; Second data collecting instrument sends the data parameters that it collects through airborne radio station 10.
Particularly; As shown in Figure 3; Load, control data, acceleration signal CAN bus are together in series at the bottom of blade loading, main shaft load signal CAN bus process slip ring and cat head load, the tower, are aggregated into second data collecting instrument, and image data is transferred to the receiving terminal in the Surveillance center 1 through wireless set or network; Leave on the data server 5, supply client end 3 and remote monitoring personnel to use.Certainly, above-mentioned various data-signals can not connected yet, and are connected with second data collecting instrument through the CAN bus separately.
In addition, in technique scheme, can also make concrete design to the transmission means of data.Particularly, please refer to Fig. 4, Fig. 4 detects the schematic representation that diagnostic system carries out wireless transmission for the blower fan among Fig. 1.
Particularly, data transmission module can be supported wire transmission and wireless transmission, and wire transmission is meant that data acquisition module can transmit through network or wind field owner dedicated network.As shown in Figure 4, under the situation of carrying out wireless transmission, data transmission module comprises the vehicular station of being located in the Surveillance center 14 and is located at the airborne radio station 10 on the blower fan; Airborne radio station 10 sends to vehicular station 4 with the data parameters of data collecting module collected, and vehicular station 4 is stored into the data parameters that receives in the data memory module.
Particularly; The staff finishes the sampling parameter setting; Through vehicular station 4 configuration information is sent; Airborne radio station 10 is transferred to data collecting instrument 9 with it after receiving configuration information, and data collecting instrument 9 is configured sampling parameter according to configuration information, and configuration is returned " configuration successful " information after accomplishing; Then, equipment is started working, staff's watch-dog working state and change setting at any time in the course of the work; Data collecting instrument 9 can be kept at the data of gathering according to configuration information and carry bulk memory (after gathering end; These data will be transferred in the data server 5; In order to follow-up further analysis), and query personnel's real-time command, semaphores such as time domain statistics, frequency spectrum data are sent to vehicular station 4 through airborne radio station 10; Vehicular station 4 is uploaded to data server 5 with the image data that receives; Data server is connected with client end 3 through Local Area Network 11 again, so that the staff analyzes image data, understands the running state of wind-powered electricity generation unit at any time.
On the basis of technique scheme, can also make concrete design to data analysis and fault diagnosis module.Particularly, please refer to Fig. 5 and Fig. 6, Fig. 5 is that the blower fan among Fig. 1 detects the data analysis of diagnostic system and the software architecture diagram of fault diagnosis module; Fig. 6 is the working principle schematic representation that carries out fault self-diagnosis of data analysis among Fig. 5 and fault diagnosis module.
As shown in Figure 5; Data analysis and fault diagnosis module comprise and carry out pretreated first submodule of data; This first submodule is eliminated the smoothing processing of trend term, data or is gone operations such as time domain average noise reduction, thereby can guarantee the accuracy and the stability of data information.
Data analysis and fault diagnosis module also comprise the data of gathering are carried out second submodule that time domain handles, and the 3rd submodule that the data of gathering are carried out frequecny domain analysis.Particularly, as shown in Figure 5, second submodule carries out time domain to the data of gathering to be handled, and comprises probability density function, probability distribution function, average, mean square value, effective value, peak value, kurtosis coefficient, correlation function etc.; The 3rd submodule carries out frequency domain to the data of gathering to be handled, and comprises amplitude spectrum, power spectrum, spectrum, cross-spectrum, cepstrum, demodulation spectra and refinement spectrum etc. certainly.
Particularly, data analysis and fault diagnosis module also comprise the 4th submodule, and be as shown in Figure 5, and image data and control data that the 4th submodule obtains correspondence constantly are corresponding one by one, so that carry out the operating mode self grooming.For example; The tester is with control datas such as the generator speed of obtaining, generated output and propeller pitch angles; Carry out correspondingly one by one according to the time sequencing and the vibration data of collection, the tester can analyze the fan operation state according to the corresponding relation of control data and image data.
Like Fig. 5 and Fig. 6; Data analysis and fault diagnosis module also comprise the 5th submodule; The 5th submodule is handled through time domain and frequency domain and is carried out the feature extraction of peak-to-peak value, effective value, frequency division amplitude or kurtosis coefficient, so that utilize embedded nerual network technique to carry out the self diagnosis of fault.For example, utilize effective value to judge that whether fan vibration exceeds standard, and abnormal state occurs; Utilize kurtosis coefficient index to judge the early stage type fault of bearing.
Data analysis and fault diagnosis module also comprise the 6th submodule, and be as shown in Figure 5, and the 6th submodule is formed expert team through remote collaborative, so that confirm the reason of fan trouble.
At last; Need to prove that blower fan provided by the present invention detects diagnostic system and develops based on the present domestic expensive and unrealistic property of wind-powered electricity generation unit on-line monitoring that realizes on a large scale, on-line monitoring need be that every typhoon machine is equipped with a set of equipment; Just dress up high, but recycling rate of waterused is low.This system is removable comprehensive diagnos detection system, and it is to operate to purpose, be means rapidly and efficiently to patrol and examine, be removable, the motor-driven modernized fast high-tech test center of backing with vibration analysis and fault diagnosis with the health that guarantees the wind-powered electricity generation unit.
More than blower fan provided by the present invention detected diagnostic system carried out detailed introduction.Used concrete example among this paper principle of the present invention and mode of execution are set forth, above embodiment's explanation just is used for helping to understand method of the present invention and core concept thereof.Should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention, can also carry out some improvement and modification to the present invention, these improvement and modification also fall in the protection domain of claim of the present invention.

Claims (13)

1. a blower fan detects diagnostic system, is used for detection and fault diagnosis to wind power generating set, it is characterized in that, comprising:
Data acquisition module, this data acquisition module are located on the blower fan (7), are used for the data parameters of blower fan (7) is gathered;
Data transmission module, this data transmission module is connected with said data acquisition module communication, is used to transmit the data parameters of said data collecting module collected;
Data memory module, this data memory module is connected with said data transmission module communication, to be used to store the data parameters that the data transmission module transmission comes;
Data analysis and fault diagnosis module, this data analysis and fault diagnosis module are connected with said data memory module communication, are used for the data parameters of said data memory module storage is analyzed, and diagnose out the reason of blower fan (7) fault.
2. blower fan as claimed in claim 1 detects diagnostic system, it is characterized in that, said blower fan detects diagnostic system and also comprises the control interactive module;
Said control interactive module is connected with said data memory module communication; Simultaneously; Said control interactive module also is connected with the control system communication of blower fan (7); So that the data parameters of said data collecting module collected and the control system data information stored of blower fan (7) are carried out information comparison, and then the running state of assessment blower fan (7); Perhaps said control interactive module is sent instruction according to external environment condition to the control system of blower fan (7), obtains the test operating mode of anticipation with the adjustment control strategy.
3. according to claim 1 or claim 2 blower fan detects diagnostic system, it is characterized in that said blower fan detects diagnostic system and also comprises Surveillance center (1) and flowing test car (2);
Said Surveillance center (1) rests in the specified position that can cover the full blast field;
Said flowing test car (2) carries tester (8) and data acquisition module moves to blower fan to be measured (7), so that tester (8) is installed on said data acquisition module on the blower fan to be measured (7).
4. blower fan as claimed in claim 3 detects diagnostic system, it is characterized in that said data transmission module comprises the vehicular station of being located in the Surveillance center (1) (4) and is located at the airborne radio station (10) on the blower fan (7);
Said airborne radio station (10) sends to said vehicular station (4) with the data parameters of said data collecting module collected, and said vehicular station (4) is stored into the data parameters that receives in the said data memory module.
5. blower fan as claimed in claim 4 detects diagnostic system, it is characterized in that said data acquisition module comprises first data collecting instrument, and said first data collecting instrument carries out the data capture of vibration parameters, parameters,acoustic, temperature field and electrical quantity; Said first data collecting instrument sends the data parameters that it collects through said airborne radio station (10).
6. blower fan as claimed in claim 4 detects diagnostic system, it is characterized in that said data acquisition module comprises second data collecting instrument, and said second data collecting instrument carries out the collection of Control Parameter and load data; Said second data collecting instrument sends the data parameters that it collects through said airborne radio station (10).
7. blower fan as claimed in claim 6 detects diagnostic system; It is characterized in that; In various load datas and control data; Load signal, control data signal and acceleration signal all are connected with said second data collecting instrument through the CAN bus at the bottom of the two included blade loading signal, main shaft load signal, cat head load signal, the tower, so that said second data collecting instrument carries out the collection of various load datas and control data.
8. detect diagnostic system like each described blower fan of claim 4 to 7, it is characterized in that said Surveillance center (1) is provided with data server (5), said data memory module is located on the said data server (5); Also be provided with client end (3) in the said Surveillance center (1), said data analysis and fault diagnosis module are located on the said client end (3).
9. according to claim 1 or claim 2 blower fan detects diagnostic system; It is characterized in that; Said data analysis and fault diagnosis module comprise and carry out pretreated first submodule of data, so that the operation of eliminating the smoothing processing of trend term, data or removing the time domain average noise reduction.
10. according to claim 1 or claim 2 blower fan detects diagnostic system, it is characterized in that, said data analysis and fault diagnosis module comprise the data of gathering are carried out second submodule that time domain handles, and the 3rd submodule that the data of gathering are carried out frequecny domain analysis.
11. blower fan according to claim 1 or claim 2 detects diagnostic system; It is characterized in that; Said data analysis and fault diagnosis module also comprise the 4th submodule, and image data and control data that said the 4th submodule obtains correspondence constantly are corresponding one by one, so that carry out the operating mode self grooming.
12. blower fan according to claim 1 or claim 2 detects diagnostic system; It is characterized in that; Said data analysis and fault diagnosis module also comprise the 5th submodule; Said the 5th submodule is handled through time domain and frequency domain and is carried out the feature extraction of peak-to-peak value, effective value, frequency division amplitude or kurtosis coefficient, so that utilize embedded nerual network technique to carry out the self diagnosis of fault.
13. blower fan according to claim 1 or claim 2 detects diagnostic system, it is characterized in that said data analysis and fault diagnosis module also comprise the 6th submodule, said the 6th submodule is formed expert team through remote collaborative, so that confirm the reason of fan trouble.
CN2011103643199A 2011-11-16 2011-11-16 Draught fan detection and diagnosis system CN102434387A (en)

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CN106527169A (en) * 2017-01-20 2017-03-22 深圳大图科创技术开发有限公司 Intelligent home control system based on Bluetooth
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CN109254736A (en) * 2018-10-25 2019-01-22 北京鼎好鑫源科技有限公司 A kind of system of condition monitoring and data self-sizing storage method
CN109580218A (en) * 2018-12-08 2019-04-05 上海电力学院 A kind of state of fan gear box recognition methods based on likelihood learning machine
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CN109901537A (en) * 2019-03-18 2019-06-18 北京大通惠德科技有限公司 Mechanical equipment method for monitoring operation states and system for edge calculations side
CN110319918A (en) * 2018-03-28 2019-10-11 深圳金智凌轩视讯技术有限公司 Pass through the method and device of sound detection equipment state
CN111164305A (en) * 2018-01-18 2020-05-15 Abb瑞士股份有限公司 Method, device and system for wind power converter management
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CN106527169A (en) * 2017-01-20 2017-03-22 深圳大图科创技术开发有限公司 Intelligent home control system based on Bluetooth
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CN108693438B (en) * 2018-05-28 2020-04-28 国电联合动力技术有限公司 Intelligent diagnosis system and method for generator winding faults of wind turbine generator
CN108693438A (en) * 2018-05-28 2018-10-23 国电联合动力技术有限公司 A kind of Wind turbines generator winding faults intelligent diagnosis system and method
CN109254736A (en) * 2018-10-25 2019-01-22 北京鼎好鑫源科技有限公司 A kind of system of condition monitoring and data self-sizing storage method
CN109580218A (en) * 2018-12-08 2019-04-05 上海电力学院 A kind of state of fan gear box recognition methods based on likelihood learning machine
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