CN201402209Y - Intelligent failure monitoring and diagnosis system for wind generating set - Google Patents

Intelligent failure monitoring and diagnosis system for wind generating set Download PDF

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Publication number
CN201402209Y
CN201402209Y CN2009200737262U CN200920073726U CN201402209Y CN 201402209 Y CN201402209 Y CN 201402209Y CN 2009200737262 U CN2009200737262 U CN 2009200737262U CN 200920073726 U CN200920073726 U CN 200920073726U CN 201402209 Y CN201402209 Y CN 201402209Y
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China
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fault
signal
tower tube
transmission
wind
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CN2009200737262U
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Chinese (zh)
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曾承志
王定晓
李辉
李合林
施文钦
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唐德尧
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Abstract

An intelligent failure monitoring and diagnosis system for a wind generating set is characterized in that the system comprises an on-board data acquisition and analytical system (A), a wind field level failure diagnosis and condition monitoring system (B), an enterprise level failure diagnosis and condition monitoring system (C) and a testing equipment development manufacturer remote technical support system (D), wherein the on-board data acquisition and analytical system (A) establishes an information networking feedback relationship with the wind field level failure diagnosis and condition monitoring system (B) through wired or wireless transmission, and establishes an information networking feedback relationship with the enterprise level failure diagnosis and condition monitoring system(C) and the testing equipment development manufacturer remote technical support system (D) through a wired or wireless transmission network matched with the wind field level failure diagnosis and condition monitoring system (B) at the same time; and the testing equipment development manufacturer remote technical support system (D) also establishes a direct information networking feedback relationship with the enterprise level failure diagnosis and condition monitoring system (C).

Description

A kind of intelligent malfunction monitoring diagnostic system of wind power generating set

Technical field

The utility model relates to a kind of intelligent malfunction monitoring diagnostic system of wind power generating set, belongs to the technology for mechanical fault diagnosis class.

Background technology

In order to reduce to frequently facing the dependence of traditional fossil energies such as the coal that exhausts and oil, simultaneously also use severe contamination to global environment in order to slow down fossil energy, the aerogenerator that is used as power with wind energy is that the green energy resource of carrier becomes one of important member in the energy big family just gradually.But along with wind power plant begins a large amount of exploitations, use, the thing followed then is the fault pilosity of wind power generating set, and problems such as maintenance and repair and fault diagnosis cause people's growing interest.

The fault of wind power generating set mainly is divided into mechanical fault and electric fault; and the monitoring, diagnosing of wind power generating set mainly is at apparatus failure at present; purpose is protection normal power generation under the situation that machinery can turn round, and the fault diagnosis of mechanical fault is in the state of long-term lacking.Therefore, Ji Xie catastrophic failure has become the main cause of aerogenerator shutdown and accident.Caused the development of aerogenerator mechanical fault diagnosis device thus.But, the existing fault diagnostic system mainly is to analyze collection of illustrative plates by gathering a large amount of original vibration datas and generating some, realize fault analysis and diagnosis by the advanced techniques talent by interpreting blueprints with deep theoretical grounding in basic skills and engineering knowledge, yet the maintainer but can't obtain the effective information that can judge the wind power generating set state from these data and collection of illustrative plates, more can't accomplish the fault pre-alarming to wind power generating set.In actual applications, the fault diagnosis system that has has been introduced " bluring " type or " study " type expert system, but be limited to equally monitoring target is lacked deep understanding, because it is not comprehensive as the data sample collection of knowledge source, there is defective unavoidably in the mathematical model of setting up, exists huge drop between actual utilization effect and the re-set target.Particularly the learning-oriented expert system of this class various malfunctions that need travel through blower fan after installation are carried out " study " and are obtained enough knowledge and could realize diagnosis then, so that pick-up unit can not plug and play.Because above-mentioned diagnostic system only actually has been realized wind power generating set is carried out the conventional vibration monitoring; can't realize automatically, accurately locating and fault pre-alarming to trouble unit; not only diagnosis effect maintenance cost unsatisfactory, that make group of motors is high high; and cause disorderly closedown pilosity, the quagmire that production efficiency is low.

The utility model content

The purpose of this utility model: aim to provide the intelligent malfunction monitoring diagnostic system of a kind of wind power generating set, by scene and remote control technology, make on-the-spot use and administrative authority not only can grasp real-time working state, the realization fault alarm of blower fan, and can obtain manufacturing firm's remote support by remote control network, realize remote diagnosis, instruct and safeguard and long-range realization software upgrading, not only can in time solve the various technical failure problems that occur in the fan operation process, also can greatly improve the operational efficiency of equipment.

The foregoing invention purpose is achieved through the following technical solutions:

The intelligent malfunction monitoring diagnostic system of this wind power generating set, it is characterized in that: it comprises on-board data collection and analytic system, wind field level fault diagnosis and condition monitoring system, enterprise-level fault diagnosis and condition monitoring system and checkout equipment development producer remote technology back-up system, described on-board data collection and analytic system are set up the interconnected feedback of information by wired or wireless transmission and wind field level fault diagnosis and condition monitoring system and are got in touch, get in touch by setting up the interconnected feedback of information with enterprise-level fault diagnosis and condition monitoring system and checkout equipment development producer remote technology back-up system respectively again simultaneously, and also have directly between described checkout equipment development producer's remote technology back-up system itself and enterprise-level fault diagnosis and the condition monitoring system and get in touch based on the interconnected feedback of the information of public network with the supporting wired or wireless transmission network of wind field level fault diagnosis and condition monitoring system.

Described on-board data collection and analytic system, comprise signal controlling module, transmission fault-signal acquisition subsystem, tower tube impeller failure signals collecting subsystem and electric fault signals collecting subsystem, be electrically connected with transmission fault-signal acquisition subsystem, tower tube impeller failure acquisition subsystem and apparatus failure signals collecting subsystem respectively by the signal controlling module and form interconnected feedback and get in touch; Transmission fault-signal acquisition subsystem wherein reaches the corresponding machine driven system of blower fan that is connected with this transmission fault sensor group by actuating signal pretreatment unit, transmission fault collection device, transmission fault sensor group and forms; Tower tube impeller failure signals collecting subsystem reaches the blower fan corresponding column tube impeller kinematic train that is connected with this tower tube impeller transmission fault sensor group by tower tube impeller Signal Pretreatment unit, tower tube impeller failure collector, tower tube impeller failure sensor groups and forms; Electric fault signals collecting subsystem wherein is made up of electric signal pretreatment unit, electric fault collector, electric fault sensor groups group and the corresponding blower fan electrical system that is connected with this electric fault sensor; Simultaneously, described tower tube impeller Signal Pretreatment unit and electric signal pretreatment unit and signal controlling module are placed in the airborne main frame, and the signal controlling module transmission signals of described three pretreatment units in airborne main frame given wind field level fault diagnosis and condition monitoring system by transmission network with the data transmission that collects.

Described transmission fault sensor group involving vibrations impacts combined type trans, speed probe, displacement transducer, temperature sensor; And transmission fault sensor group links to each other with transmission fault collection device, the signal that is received by collector for processing; Actuating signal pretreatment unit in transmission fault collection device and the airborne main frame is connected by bus cable.

Described tower tube impeller failure sensor groups comprises two coordinate acceleration transducers, driftage angular transducer, blower fan main shaft speed probe; And tower tube impeller failure sensor groups links to each other by cable with tower tube impeller failure signal picker, and the tower tube impeller Signal Pretreatment unit in tower tube impeller failure collector and the airborne main frame is connected by cable bus.

The described pair of coordinate acceleration transducer and the angular transducer of going off course are installed in the top of tower tube near the yaw platform place.

Described electric fault sensor groups comprises temperature sensor, high-tension coupling condenser, current-voltage transformer; And the electric fault sensor groups links to each other by cable with the electric fault collector, and the electric fault pretreatment unit in electric fault collector and the airborne main frame is connected by cable bus.

Described on-board data collection adopts optical fiber or wireless network to be connected with analytic system with the transmission network of wind field level fault diagnosis and condition monitoring system.

The utility model according to above technical scheme proposition, by airborne main frame signal is carried out filtering acquisition, give wind field level fault diagnosis and condition monitoring system through fiber optic network or wireless network transmissions, fault diagnosis expert system in being somebody's turn to do in the system is realized accurate judgement and accurate location to the various faults of blower fan by the data fusion to various monitoring physical quantitys.For all kinds of faults of finding through diagnosis, fault diagnosis expert system can carry out sound and light alarm automatically.The various data of utilizing enterprise-level fault diagnosis and condition monitoring system and remote diagnostic center that all wind field centers are sent provide network management and the decision support of equipment maintenance and management are provided.Both can realize the accurate location of wind power generating set fault and the early warning of fault, can realize intelligent and networked malfunction monitoring and diagnosis again, can lower the maintenance cost of wind power generating set greatly.

Description of drawings

Fig. 1 is the intelligent malfunction monitoring diagnostic system of a wind power generating set general illustration;

Fig. 2-1 is wind power generating set on-line data acquisition and analytic system master synoptic diagram;

Fig. 2-2 is wind power generating set on-line data acquisition and analytic system synoptic diagram;

Fig. 3 is airborne main machine structure schematic layout pattern;

Fig. 4 is a wind power generating set transmission fault-signal acquisition subsystem synoptic diagram;

Fig. 5 is a wind power generating set tower tube impeller failure signals collecting subsystem synoptic diagram;

Fig. 6 is a wind power generating set electric fault signals collecting subsystem synoptic diagram;

Fig. 7 is the wind generating set structure synoptic diagram;

Fig. 8 is wind field level fault diagnosis and condition monitoring system synoptic diagram;

Fig. 9 is enterprise-level fault diagnosis and condition monitoring system synoptic diagram;

5-yaw system 6-impeller 7-basis, 1-impeller 2-kinematic train 3-generator 4-cabin among the figure

Embodiment

Fig. 1 is the intelligent malfunction monitoring diagnostic system of a wind power generating set general illustration.

Further describe the utility model below in conjunction with accompanying drawing 1 ~ accompanying drawing 8:

The intelligent malfunction monitoring diagnostic system of this wind power generating set, it is characterized in that: it comprises on-board data collection and analytic system A, wind field level fault diagnosis and condition monitoring system B, enterprise-level fault diagnosis and condition monitoring system C and the checkout equipment development remote technology back-up system D of producer, described on-board data collection and analytic system A set up the interconnected feedback of information by wired or wireless transmission and wind field level fault diagnosis and condition monitoring system B and get in touch, get in touch by setting up the interconnected feedback of information with enterprise-level fault diagnosis and condition monitoring system C and the checkout equipment development remote technology back-up system D of producer respectively again simultaneously, and also have the interconnected feedback of direct information between the described checkout equipment development remote technology back-up system D of producer itself and enterprise-level fault diagnosis and the condition monitoring system C and get in touch (seeing accompanying drawing 1) with the supporting wired or wireless transmission network of wind field level fault diagnosis and condition monitoring system B.

Wherein: on-board data collection and analytic system A comprise signal controlling module 00, transmission fault-signal acquisition subsystem 10, tower tube impeller failure signals collecting subsystem 20 and electric fault signals collecting subsystem 30, be electrically connected with transmission fault-signal acquisition subsystem 10, tower tube impeller failure acquisition subsystem 20 and apparatus failure signals collecting subsystem 30 respectively by signal controlling module 00 and form the interconnected feedback of information and get in touch (seeing accompanying drawing 2-1); Transmission fault-signal acquisition subsystem 10 wherein reaches the corresponding machine driven system of blower fan that is connected with this transmission fault sensor group 13 by actuating signal pretreatment unit 11, transmission fault collection device 12, transmission fault sensor group 13 and forms; Tower tube impeller signals collecting subsystem 20 reaches the blower fan corresponding column tube impeller system that is connected with this tower tube impeller transmission fault sensor group 23 by tower tube impeller Signal Pretreatment unit 21, tower tube impeller failure collector 22, tower tube impeller failure sensor groups 23 and forms; Electric fault signals collecting subsystem 30 wherein is made up of electric signal pretreatment unit 31, electric fault collector 32, electric fault sensor groups 33 and the corresponding blower fan electrical system that is connected with this electric fault sensor; Simultaneously, described tower tube impeller Signal Pretreatment unit 21 and electric signal pretreatment unit 31 are placed in the airborne main frame with signal controlling module 00, and signal controlling module 00 transmission signals of described three pretreatment units in airborne main frame given wind field level fault diagnosis and condition monitoring system B (seeing accompanying drawing 2-2) by transmission network with the data transmission that collects.

Wherein: transmission fault sensor group 13 involving vibrations impact combined type trans 1330, speed probe 1310, displacement transducer 1320, temperature sensor 1340; And transmission fault sensor group 13 links to each other with transmission fault collection device 12 and handles the signal that receives; Actuating signal pretreatment unit 11 in transmission fault collection device 12 and the airborne main frame is connected by bus cable.(seeing accompanying drawing 2-2)

Described tower tube impeller failure sensor groups 23 comprises two coordinate acceleration transducers 2330, angular transducer 2320, speed probe 2310; And tower tube impeller failure sensor groups 23 and tower tube impeller failure collector 22 link to each other by cable, and tower tube impeller Signal Pretreatment unit in tower tube impeller failure collector 22 and the airborne main frame 21 is connected by cable bus.

The described pair of coordinate acceleration transducer 2330 and angular transducer 2320 are installed in the top of tower tube near the yaw platform place.

Described electric fault sensor groups 33 comprises temperature sensor 3340, high-tension coupling condenser 3310, voltage transformer (VT) 3320; And electric fault sensor groups 33 and electric fault collector 32 link to each other by cable, and electric fault pretreatment unit in electric fault collector 32 and the airborne main frame 31 is connected by cable bus.(seeing accompanying drawing 2-2)

Described on-board data collection adopts optical fiber or wireless network to be connected with analytic system A with the transmission network of wind field level fault diagnosis and condition monitoring system B.

Further describe principle of work of the present utility model below in conjunction with accompanying drawing:

The intelligent fault monitoring system of this aerogenerator mainly is made up of with analytic system A, wind field level fault diagnosis and condition monitoring system B, enterprise-level fault diagnosis and condition monitoring system C and the remote technology back-up system D of producer the on-board data collection.(seeing accompanying drawing 1)

On-board data collection and analytic system A are unit with the wind power generating set, form (seeing accompanying drawing 2-1) by wind power generating set transmission fault-signal acquisition subsystem 10, tower tube impeller failure signals collecting subsystem 20 and generator electric fault signals collecting subsystem 30.Airborne main frame is the core of on-board data collection and analytic system A, is responsible for the signal that each subsystem collection comes is carried out digital sample and the data sink General Logistics Department is delivered to wind field level fault diagnosis and condition monitoring system B.Wind power generating set transmission fault-signal acquisition subsystem 10 wherein is responsible for collecting the failure message of wind power generating set kinematic train; Tower tube impeller failure signals collecting subsystem 20 is responsible for collecting the failure message of tower tube, impeller system; Generator electric fault signals collecting subsystem 30 is responsible for collecting information such as electricity generator stator coil insulation fault.

The core of wind field level fault diagnosis and condition monitoring system B is the fault diagnostic expert system, cooperates on this basis with optical fiber or cordless communication network, wind field wind power generating set status monitoring terminal and wide area network gateway or complete fault diagnosis and the status monitoring system of router composition one cover.Fault diagnosis expert system is realized accurate judgement and accurate location to various wind power generating set faults by the data fusion to various monitoring physical quantitys.Fault diagnosis expert system is for all kinds of faults of finding through diagnosis, and fault diagnosis expert system can carry out sound and light alarm automatically, submits to the maintainer to pay attention to.Fault diagnosis expert system also is responsible for transmitting sampled data and alert data to enterprise-level fault diagnosis and condition monitoring system D.

Simultaneously, the database server of the fault diagnosis expert system of wind field level fault diagnosis and condition monitoring system B, application server and Web server are formed enterprise-level fault diagnosis and condition monitoring system and producer's remote technology back-up system.

Fig. 2-2 is wind power generating set on-line data acquisition and analytic system synoptic diagram; Form by wind power generating set transmission fault-signal acquisition subsystem, wind power generating set tower tube impeller failure signals collecting subsystem and generator of wind generating set electric fault signals collecting subsystem.

A, wind power generating set transmission fault-signal acquisition subsystem 10 comprise signal controlling module 00, actuating signal pretreatment unit 10, transmission fault collection device 12, transmission fault sensor group 13;

B, wind power generating set tower tube impeller failure signals collecting subsystem comprise signal controlling module 00, pylon impeller Signal Pretreatment unit 21, tower tube impeller failure collector 22, the tower tube impeller failure sensor groups 23 in the airborne main frame;

C, wind power generating set electric fault signals collecting subsystem comprise signal controlling module 00, electric signal pretreatment unit 31, electric fault collector 32, electric fault sensor groups 33.

The signal at d, each fault sensor group monitoring position that wind power generating set is surveyed, be connected in the treatment circuit in each fault collection device by cable, gather through oversampling circuit relevant treatment and AD conversion, signal is connected to the bus interface of each Signal Pretreatment unit in the airborne main frame by bus cable, by the relevant signal of the processing of circuit of each Signal Pretreatment unit, import airborne main frame then.

Fig. 3 is an airborne main frame internal signal net layout synoptic diagram, and it has comprised CPU control module 01, power module 02, special protection circuit 03, interface circuit 04, network interface 05, has stored up interface 06, display interface 07, IO interface 08, transmission network 09, actuating signal pretreatment unit 11, tower tube impeller Signal Pretreatment unit 21 and electrical signal pretreatment unit 31 outward.CPU control module 01 is the platform of airborne host work, by interface circuit 04 and total system communication, and by the voltage of interface circuit 04 out-put supply module 02 supply, and power module 02 is imported by the 220v alternating current; The signal message of each subsystem that actuating signal pretreatment unit 11, tower tube impeller Signal Pretreatment unit 21 and electric signal pretreatment unit 31 are handled passes to CPU control module 01 and handles and send, and output to wind field level fault diagnosis and condition monitoring system B by transmission network 09 by network interface 05, also can observe and the artificial treatment data-signal, can also data-signal be moved by outer storage interface 06 and deposit the outside by display interface 07 and IO interface 08 external display, keyboard and mouse; Special protection circuit 03 has the function of powered-down module when preventing overcurrent-overvoltage, cycle power, high low-temperature protection, the slow-speed of revolution.

Fig. 4 is wind power generating set transmission fault-signal acquisition subsystem signal Figure 10 layout.

This system comprises signal controlling module 00 and actuating signal pretreatment unit 11, transmission fault collection device 12 and the transmission fault sensor group 13 in the airborne main frame, be responsible for main shaft bearing 1331, box bearing and gear 1332, yaw motor bearing and gear 1335, yaw gear 1336, become sensing, conditioning and transmission that machine driven system signals such as gear 1334 and dynamo bearing 1339 are starched in slurry motor bearings and gear 1333, change, and to object monitorings such as the collision fault of shaft coupling and brush and slip ring fault 1337, fan 1338 and lubricating oil temperatures 1341.As table 1:

A, this subsystem adopts vibratory impulse compound sensor 1330, can adopt magnetic and bonding mounting means, be installed in the region of interest of the monitoring component in the table 1, for example can adopt the inventor to obtain power ZL200720065122.4 " vibration impact transducer that magnetic is installed " patent, this vibratory impulse compound sensor not only can obtain vibration signal, and can obtain impact signal, the vibration and shock signal that records at each measuring point obtains supplying the vibration signal and the impact signal of collection through vibration signal modulate circuit 1203 and 1204 processing of impact signal modulate circuit, vibration signal after this is handled and impact signal are selected through the signal handover module 1208 passages output of CPU control module 1201 controls, carry out analog to digital conversion and data acquisition by AD acquisition module 1209 then, then be transferred to CPU control module 1201 through interface circuit 1210 to airborne output signal, instruction that airborne main frame sends and the power supply that provides are provided simultaneously, and power module 1211 is responsible for providing power supply (seeing accompanying drawing 4) to transmission fault collection device 12 and transmission fault sensor group 13.

B, described speed probe 1310 can adopt the current vortex speed probe to measure the speed of mainshaft 1311 signals and generator speed 1312 signals, the speed of mainshaft 1311 signals and generator speed 1312 signals carry out being input to AD plate acquisition module 1209 acquired signal after light isolation and the process of frequency multiplication through the tach signal conditioning unit 1202 and the rotating speed treatment circuit 1206 of transmission fault collection device, and the signal that collects is exported (seeing accompanying drawing 4) through CPU control module 1201 by interface circuit 1210.

C, displacement transducer 1320 can adopt the thickness signal of 1321 axial float displacements of eddy current displacement sensor prototype gear case high speed axis and brake disc, deliver to signal handover module 1208 again after sending displacement signal conditioning unit 1207 to handle, it is identical that this play displacement signal and vibratory impulse compound sensor 1330 signals obtain transmission course, and described speed probe (1310) and described displacement transducer (1320) also can utilize the capacitive transducer of making according to " a kind of capacitive detection circuit and application thereof " patent of the inventor (seeing accompanying drawing 4).

D, temperature sensor 1340 can adopt platinum resistance temperature sensor prototype gear case etc. to contain the temperature at the position 1341 of lubricating oil, the temperature of measuring gained is through temperature signal regulation unit 1205 signal transformations, and 1201 collections of the CPU control module in collector, be transferred to airborne main frame (seeing accompanying drawing 4) by interface circuit 1210 then.Temperature sensor 1340 also can adopt the temperature sensor of other form, for example digital temperature sensor 18B20.

Table 1 kinematic train monitoring content

Fig. 5 is wind power generating set tower tube impeller failure signals collecting subsystem 20 layouts, and this system comprises signal controlling module 00 and tower tube impeller Signal Pretreatment unit 21, tower tube impeller failure collector 22 and the tower tube impeller failure sensor groups 23 in the airborne main frame; Tower tube impeller failure sensor groups 23 comprises two coordinate acceleration transducers 2330, angular transducer 2320, speed probe 2310.

This system implementation the number of patent application of inventor application be 200810030907.7 " a kind of fault diagnosis technology for mechanical tower ", number of patent application is that 20081004301.X " a kind of moving blade fault diagnosis technology " and number of patent application are 200810030906.2 " device for monitoring running state of wind generator tower ".

A, 2 two coordinate acceleration transducers 2330 and angular transducer 2320 are installed in the yaw platform place of tower tube, be in the east-west direction and the North and South direction of tower tube integral body respectively, measuring the vibration signal of tower tube impeller when wind power generating set turns round is with reference to polar angle signal that is subjected to force direction with relative tower tube east-west direction and with east, the signal handover module 2205 that inputs to 2201 controls of CPU control module at this moment behind the signal condition of the tower tube impeller signal condition unit 2204 of the vibration signal of tower tube impeller and loading angle signal process tower tube impeller failure collector 23 and angle signal conditioning unit 2203 carries out passage and switches, then by AD acquisition module 2206 acquired signal; Speed probe 2310 is measured the speed of the speed of mainshaft 2311 and is gathered through AD acquisition module 2206; The signal of AD acquisition module 2206 outputs is exported by interface circuit 2207 through CPU control module 2201.

B, interface circuit 2207 are to airborne main frame output signal and receive the instruction that the signal controlling module 00 of airborne main frame is sent, the power supply that receives airborne main frame output is simultaneously given power module 2208, and power module 2208 provides power supply to tower tube impeller failure collector 22 and tower tube impeller failure sensor groups 23.

Table 2: wind power generating set tower tube impeller failure signals collecting subsystem 20 detects content

Sensor type The monitoring content Two coordinate acceleration transducers 830 Tower tube 831 and impeller 832 Angular transducer 810 (the being blower fan main shaft) drift angle 811 of cruising, cabin Speed probe 820 The speed of mainshaft 821

C, the electric signal pretreatment unit 30 and the signal controlling module 00 that comprise in the airborne main frame as Fig. 6 wind power generating set electric fault signals collecting subsystem 30, electric fault sensor groups 33 and electric fault collector 32, electric fault sensor groups 90 comprises temperature sensor 3340, high-tension coupling condenser 3310, voltage transformer (VT) 3320, be responsible for electricity generator stator coil 3341, the collection of the electric fault signal of generator inlet and outlet 3342 and power coil output 3311, then through the 3202 conditioning conversions of the conditioning of the electric signal in the electric fault collector 32 unit, signal switching circuit 603 passages switching by 3201 controls of CPU control module is transferred to interface circuit 3204 again, interface circuit 3204 is connected with airborne main frame, simultaneously interface circuit 3204 receives power supply that airborne main frame provides to power module 3205, and power module 3205 provides power supply for electric fault sensor groups 33 and electric fault collector 32.

As table 3, wind power generating set electric fault signals collecting subsystem 30 is realized the diagnostic alarms that corresponding coil insulation descends by three-phase voltage, electric current (taking from the own sensor of blower fan) with the analysis of (installing additional) current in middle wire (mutual inductor 3320 signals); Detect winding by center line mechanical discharge information (installing high-tension coupling condenser 3310 additional) identification discovery coil insulation Local Transient is punctured, realize the early warning of insulation.

Table 3: wind power generating set electric fault signals collecting subsystem detects content

Monitoring component The monitoring content Sensor type and quantity Generator ground stator coil 3341 and generator inlet and outlet 3342 Temperature Digital temperature sensor 3340 or use pre-buried temperature sensor in the generator Power coil output 3311 Insulativity Realize the diagnostic alarms that corresponding coil insulation descends by three-phase voltage, electric current (taking from the own sensor of blower fan) with the analysis of (installing additional) current in middle wire (mutual inductor 3320 signals); Detect winding by center line mechanical discharge information (installing high-tension coupling condenser 3310 additional) identification discovery coil insulation Local Transient is punctured, realize the early warning of insulation.

That the Network Based and stream data of airborne main frame is handled is open, the design concept of distributed system framework, and with vibratory impulse fault diagnosis expert system slitless connection, the system extension ability is strong.Can increase the monitoring capability of acquisition system by the external expansion of each subsystem interface, also can gather main frame and carry out extending transverselyly, realize distributed monitoring system, monitor the more monitoring target of bulky complex by network interface and other.Airborne main frame adopts totally-enclosed, no fan project organization, can need not manual intervention at autonomous operation under the round-the-clock temperature environment (45 ℃ ~ 85 ℃).Can directly be installed within the blower fan cabin, adapt to bad working environment, not be subjected to Effect of Environmental such as temperature, dust, corrosive gas.Airborne main frame has self-checking function, can be automatically the characteristic of collecting unit be regularly detected, and guarantees the precision and the correctness of each subsystem; Can regular automatically detection system various piece whether move normally.Airborne main frame is also supported to carry out remote maintenance and remote software upgrade by network.

Fig. 8 is wind field level fault diagnosis and condition monitoring system diagrammatic layout.This system core is the fault diagnostic expert system, cooperates on this basis with optical fiber or radio computer network, wind field fan condition monitoring terminal and wide area network gateway or complete fault diagnosis and the status monitoring system of router composition one cover.Wind field level vibratory impulse fault diagnosis expert system (wind field center) adopts the active diagnosis policy based on the fault genesis mechanism, need not " study ", " training ", and installation can be used.The vibratory impulse fault diagnosis expert system is by the data fusion to various monitoring physical quantitys, can follow the tracks of collection, automatic analyzing and diagnosing to the vibration, the impact information that have defective component, thereby realize giving warning in advance, can and accurately locate the accurate judgement of various fan troubles.For all kinds of faults of finding through diagnosis, fault diagnosis expert system can carry out sound and light alarm automatically, submits to the maintainer to pay attention to.Fault diagnosis expert system also is responsible for transmitting sampled data and alert data to the enterprise center.Wind field fan trouble diagnostic state monitoring terminal is used for showing in real time that the operational situation of each blower fan and fan trouble report to the police, and to the wind field maintainer provide monitoring, alert data inquiry, browse and print service.Computer network is used to connect fault diagnosis expert system and collection of blower fan on-board data and analytic system, and wide area network gateway or router are used to provide the network path of wind field center to the enterprise center.

Fig. 9 is enterprise-level fault diagnosis and condition monitoring system diagrammatic layout.The core of enterprise-level fault diagnosis and condition monitoring system is made up of database server, application server and Web server.Database server is used to preserve the various data that send at all wind field centers, considers that the time that data need keep is longer, should consider to be equipped with special-purpose data-storage system, to guarantee safety of data.Database software should adopt comparatively ripe, the SQL database (as the SQL Server of Microsoft, ORACLE, Sybase etc.) widely of application; The main effect of application management server is: the decision support of equipment maintenance and management is provided on the basis of wind field fan condition monitoring.The working contents of application management server has: warning message is carried out sound and light alarm; Submit the equipment maintenance and management suggestion to according to the health status of wind field blower fan; Health status to the wind field blower fan is carried out monthly or Zhou Tongji etc.Application management server also is in charge of whole user's user right, to guarantee the data security at data enterprise center.Web server provides the inquiry of fan condition information based on Web, alert data, statistics to leader, central service personnel and long-distance user.

Except the core of being made up of database server, application server and Web server, enterprise is furnished with at the center status monitoring display terminal, status monitoring printing terminal, status poll terminal, system maintenance terminal, manual analysis terminal etc.The enterprise center also is furnished with wide area network gateway or router in addition, be used for the wind field center support, long-distance user's access path is provided, and provide the data sharing approach to producer's remote technology support, to obtain of the further technical support of (checkout equipment research is made) producer's remote technology back-up system to condition monitoring system.

Claims (7)

1, the intelligent malfunction monitoring diagnostic system of a kind of wind power generating set, it is characterized in that: it comprises on-board data collection and analytic system (A), wind field level fault diagnosis and condition monitoring system (B), enterprise-level fault diagnosis and condition monitoring system (C) and checkout equipment development producer's remote technology back-up system (D), described on-board data collection and analytic system (A) are set up the interconnected feedback contact of information by wired or wireless transmission and wind field level fault diagnosis and condition monitoring system (B), simultaneously again by setting up the interconnected feedback contact of information with enterprise-level fault diagnosis and condition monitoring system (C) and checkout equipment development producer's remote technology back-up system (D) respectively, and also have the interconnected feedback of direct information between described checkout equipment development producer's remote technology back-up system (D) itself and enterprise-level fault diagnosis and the condition monitoring system (C) and get in touch with the supporting wired or wireless transmission network of wind field level fault diagnosis and condition monitoring system (B).
2, the intelligent malfunction monitoring diagnostic system of a kind of wind power generating set as claimed in claim 1, it is characterized in that: described on-board data collection and analytic system (A) comprise signal controlling module (00), transmission fault-signal acquisition subsystem (10), tower tube impeller failure signals collecting subsystem (20) and electric fault signals collecting subsystem (30), by signal controlling module (00) respectively with transmission fault-signal acquisition subsystem (10), tower tube impeller failure acquisition subsystem (20) and apparatus failure signals collecting subsystem (30) are electrically connected the interconnected feedback contact of composition information; Transmission fault-signal acquisition subsystem (10) wherein reaches the corresponding machine driven system of blower fan that is connected with this transmission fault sensor group (13) by actuating signal pretreatment unit (11), transmission fault collection device (12), transmission fault sensor group (13) and forms; Tower tube impeller signals collecting subsystem (20) reaches the blower fan corresponding column tube impeller kinematic train that is connected with this tower tube impeller transmission fault sensor group (23) by tower tube impeller Signal Pretreatment unit (21), tower tube impeller failure collector (22), tower tube impeller failure sensor groups (23) and forms; Electric fault signal acquiring system (30) wherein is made up of the corresponding blower fan electrical system that electric signal pretreatment unit (31), electric fault collector (32), electric fault sensor groups (33) should be connected with this electric fault sensor; Simultaneously; Described tower tube impeller Signal Pretreatment unit (21) and electric signal pretreatment unit (31) are placed in the airborne main frame with signal controlling module (00), and signal controlling module (00) transmission signals of described 3 pretreatment units in airborne main frame given wind field level fault diagnosis and condition monitoring system (B) by transmission network with the data transmission that collects.
3, the intelligent malfunction monitoring diagnostic system of wind power generating set as claimed in claim 2, it is characterized in that: described transmission fault sensor group (13) involving vibrations impacts combined type trans (1330), speed probe (1310), displacement transducer (1320), temperature sensor (1340); And transmission fault sensor group (13) links to each other with transmission fault collection device (12) and handles the signal that receives; Actuating signal pretreatment unit (11) in transmission fault collection device (12) and the airborne main frame is connected by bus cable.
4, the intelligent malfunction monitoring diagnostic system of wind power generating set according to claim 2, it is characterized in that: described tower tube impeller failure sensor groups (23) comprises two coordinate acceleration transducers (2330), angular transducer (2320), speed probe (2310); And tower tube impeller failure sensor groups (23) links to each other by cable with tower tube impeller failure collector (22), and the tower tube impeller Signal Pretreatment unit (21) in tower tube impeller failure collector (22) and the airborne main frame is connected by cable bus.
5, the intelligent malfunction monitoring diagnostic system of wind power generating set according to claim 4 is characterized in that: described pair of coordinate acceleration transducer (2330) and angular transducer (2320) are installed in the top of tower tube near the yaw platform place.
6, the intelligent malfunction monitoring diagnostic system of wind power generating set according to claim 2, it is characterized in that: described electric fault sensor groups (33) comprises temperature sensor (3340), high-tension coupling condenser (3310), voltage transformer (VT) (3320); And electric fault sensor groups (33) links to each other by cable with electric fault collector (32), and the electric fault pretreatment unit (31) in electric fault collector (32) and the airborne main frame is connected by cable bus.
7, the intelligent malfunction monitoring diagnostic system of wind power generating set according to claim 1 is characterized in that: described on-board data collection adopts optical fiber or wireless network to be connected with analytic system (A) with the transmission network of wind field level fault diagnosis and condition monitoring system (B).
CN2009200737262U 2009-03-30 2009-03-30 Intelligent failure monitoring and diagnosis system for wind generating set CN201402209Y (en)

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