CN102141565A - Method for on-line monitoring and fault diagnosis of oils of wind turbine generator system - Google Patents
Method for on-line monitoring and fault diagnosis of oils of wind turbine generator system Download PDFInfo
- Publication number
- CN102141565A CN102141565A CN2010101047721A CN201010104772A CN102141565A CN 102141565 A CN102141565 A CN 102141565A CN 2010101047721 A CN2010101047721 A CN 2010101047721A CN 201010104772 A CN201010104772 A CN 201010104772A CN 102141565 A CN102141565 A CN 102141565A
- Authority
- CN
- China
- Prior art keywords
- data
- oil
- oils
- circuit board
- line monitoring
- 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.)
- Pending
Links
Images
Landscapes
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a method for on-line monitoring and fault diagnosis of oils of a wind turbine generator system. In the method, the oils of the wind turbine generator system serve as objects to be subjected to the on-line monitoring and the fault diagnosis by sensors, a sensor connecting piece, a control acquirer and a personal computer (PC). The control acquirer comprises a box body and a circuit board which is arranged in the box body, and carries out the on-line monitoring on the number of metal particles in the oils of the wind turbine generator system and the content of moisture in the oils; the sensor connecting piece is connected to an oil line; the sensors transmit electric signals to respective conditioning circuits; the electric signals are subjected to analogue/digital (A/D) acquisition and then transmitted to an industrial main board; the industrial main board packs and compresses data by an acquisition analysis module, detects an internal network of a wind field and transmits the data to the PC; and the PC carries out data unpacking, processing and analysis, displays whether the number of the metal particles and the content of the moisture in the oils exceed a warning limit, preliminarily judges the pollution level of lubricating oil in equipment, can preliminarily judge a fault of the equipment through distribution of size grades of the metal particles, and can perform trend analysis.
Description
Technical field:
The present invention relates to monitoring of a kind of oil product and method for diagnosing faults, relate in particular to a kind of be applied to wind power generating set such as gear case, generating and etc. lubricating oil oil product on-line monitoring in the key equipment and the method for fault diagnosis.
Background technology:
Because domestic wind-power electricity generation industry is started late, that is that all right is ripe for the manufacturing technology of wind power generating set, various detection meanss are still incomplete, in order to improve blower fan availability and generated energy, need the service technician of specialty that wind power generating set is carried out prophylactic repair, maintenance or fault handling to guarantee the reliability service of wind power generating set usually.Wherein, there are much relations in the inefficacy of equipment and the quality of lubricating oil, therefore the quality of lubricating oil are monitored, and also are very important.
The lubricating oil detection technique divides on-line real time monitoring and off-line analysis to measure two kinds of methods.On-line monitoring has become the cutting edge technology of oil analysis in the mechanical fault diagnosis, can note abnormalities in time to report to the police, and the index that is usually used in on-line monitoring has ferromagnetic particle, moisture, viscosity etc.Offline mode is that service technician need be under wind power generating set be in stopped status, climbs general height at 40 meters to 80 meters engine rooms of wind power generators, and sampling is earlier analyzed again.Because wind energy turbine set wind power generating set quantity is more, offline mode generally can cause the service technician repeated labor; Simultaneously; also need carry out data analysis after taking sample away in the laboratory; obviously there is hysteresis quality in the result; cause the wind-powered electricity generation unit equipment to miss the best maintenance interval; shorten equipment life; increase wind energy turbine set owner maintenance cost, simultaneously, the loss that the shutdown that causes because of maintenance has also brought generated energy to the wind energy turbine set owner.
Wind-powered electricity generation unit oil product on-line monitoring is as a kind of fault detect means of wind-powered electricity generation unit, and is very necessary, complements each other with vibration detection.The oil product monitoring belongs to detection in advance, and vibration monitoring belongs to detection afterwards.Along with the development of wind-powered electricity generation industry, press for the lubricating oil oil product in the wind power generating set key equipment carried out on-line monitoring, in the hope of rational, science safeguard the blower fan key equipment, prolong service life of equipment, reduce maintenance cost.
Summary of the invention:
In order to address the above problem, the present invention is a monitoring target with the lubricating oil in the wind power generating set key equipment, and the method for a kind of online oil product monitoring and fault diagnosis is provided.This method is that object carries out on-line monitoring and fault diagnosis by sensor, sensor web member, control collector and PC with the wind power generating set oil product.The control collector comprise casing and in the circuit board established, circuit board is by metallic particles sensor signal conditioning integrated circuit board, water content in oil cont signal conditioning integrated circuit board, the A/D analog input card, bus integrated circuit board, power supply integrated circuit board and industrial master board are formed.This control collector carries out on-line monitoring to counting of the metallic particles in the wind power generating set oil product and water content in oil content, the sensor web member is connected in the oil circuit, sensor is respectively to modulate circuit transmission of electric signals separately, gather through A/D again, after the collection the two signal is transferred to industrial master board, industrial master board by the collection analysis module to the data compression of packing, detect the wind field internal network, send data to PC, after PC detects data, carrying out data unpacks, handle, analyze and demonstration, whether surpass the pollution level that warning line gets final product the lubricating oil in the preliminary judgment device by watching the liquid water content in metallic particles quantity and the oil.By checking that the metal particle size grade distributes, and gets final product preliminary judgment device fault, and can do trend analysis.
In the said method, the input of water content in oil cont signal, by independent programme-controlled gain, anti-aliasing filtering realizes that the metallic particles count signal is imported, and isolates by DC photoelectricity and realizes signal condition, can nurse one's health frequency range 1-500KHz, 5-30V.
In the said method, this method can be expanded and be adapted to a plurality of concrete monitoring indexes simultaneously.
In the said method, A/D can extend to multichannel DI/DO, the multi-channel analog passage, and maximum sample frequency is 51.2KSPS, expansion can reach 200KSPS, 14 of degree of accuracy, parallel no error code sampling.
In the said method, the collection analysis module is by packing, transmission, reception, data operation, and the mode of data processing and demonstration realizes reporting to the police and data transmission.
In the said method, the output of the logic of warning line, its switch contact is output as 24VDC, 0.5A.
Adopt the built-in industrial mainboard, set up reliable and stable hardware platform, both improved stability, the reliability of hardware, utilize software conveniently to develop, safeguard various processing environments again; Can be equipped with mass storage, carry out long-term oil conditions monitoring, and carry out data acquisition, processing by predetermined period; Multiple spare interface, convenient and other equipment carry out message exchange or transmission.
Industrial key plate in the control collector can be PC104, the sampling routine in the PC104 industrial master board, wrapper, router; The reception program of PC inside, data operation, data processing and display routine are formed the control collector.
Description of drawings
Fig. 1 is that structure of the present invention is formed block scheme;
Fig. 2 is a control collector stereographic map of the present invention;
Fig. 3 is a collection analysis module process flow diagram of the present invention.
Embodiment
The method of a kind of online oil product monitoring and fault diagnosis comprises hardware components and software section.As Fig. 1, metallic particles sensor 2 and the water content in oil sensor 3 that is installed on the web member 7 are fixed on the pipeline between oil pump 1 and the filtrator 5, are positioned at a side of oil pipe 4; Detected electric signal is passed in the control collector 6.
Fig. 2 provides the stereographic map of control collector among the present invention, and 1 is cabinet; 8 is front panel; 9 is power switch and power light, and switch is for opening usually; 10 is signal condition integrated circuit board front panel, can turn on two terminal screws with signal condition integrated circuit board 23 or power supply integrated circuit board 5 extract convenient for maintaining and upgrading; 11 is the sensor plug on the signal condition integrated circuit board front panel; 12 is power light, so that inspection apparatus operate as normal whether; The 13rd, industrial master board is the port of plate in front, 1 USB interface, 1 RJ45 network interface, 1 VGA interface, 1 pair of SP/2 mouse-keyboard interface, 3 RS232 interfaces, 1 RS485 interface are arranged, network in order to different wind fields, different model blower fan connects, adjusting instrument hardware, upgrade maintenance software; 4 is the A/D analog input card, relies on insert row to be connected on the bus integrated circuit board 6.7 is the PC104 industrial master board, is responsible for control A/D analog input card image data, and packing data, transmits data.Wherein, electric signal carries out signal condition through signal condition integrated circuit board 2,3 respectively, signal after the conditioning is given A/D analog input card 4 through bus integrated circuit board 6 with signal, and the digital signal process USB oral instructions after the A/D conversion are given packing in the PC104 industrial master board, sent or storage; PC104 industrial master board configuration mass storage, in case the obstructed time storage data of network, when network is unobstructed, through wind field network be sent to the PC 8 of Central Control Room on by USB mouth or serial ports the data in the reservoir, unpack again, computing, metallic particles number in the oil product and water content in oil content operation result are shown.
With reference to Fig. 3, PC104 industrial master board programmed control A/D data collecting plate card is gathered the electric signal of metallic particles number and two sensors of water content in oil content, and low-pass filtering is removed high frequency interference again.Every three minutes storage one secondary data, with packing data, packet only comprised the mean value of metallic particles numerical value and water content in oil content.All data pack buffers wait to be sent to message queue.If communication is undesired, temporary to mass storage, treat that communication just often transmits; If communication is normal, then transfer data packets.The Central Control Room PC unpacks after receiving packet, through warning value relatively, carries out preliminary early warning and judges, deposits relevant informations such as data in data center simultaneously.Data center is the storage center of all image data, analysis result, configuration information, warning message.PC can intuitively show early warning information, judges the dustiness of oil product and possible fault type automatically.Through the accumulation of successful experience, the fault diagnosis module judgment accuracy will improve gradually.
Claims (6)
1. the method for wind power generating set oil product on-line monitoring and fault diagnosis, this method is passed through sensor, the sensor web member, control collector and PC are that object carries out on-line monitoring and fault diagnosis with the wind power generating set oil product, it is characterized in that: described control collector comprise casing and in the circuit board established, described circuit board is by metallic particles sensor signal conditioning integrated circuit board, water content in oil cont signal conditioning integrated circuit board, the A/D analog input card, the bus integrated circuit board, power supply integrated circuit board and industrial master board are formed, described control collector carries out on-line monitoring to counting of the metallic particles in the described wind power generating set oil product and water content in oil content, described sensor web member is connected in the oil circuit, described sensor is respectively to modulate circuit transmission of electric signals separately, gather through A/D again, after the collection the two signal is transferred to industrial master board, described industrial master board by the collection analysis module to the data compression of packing, detect the wind field internal network, send data to described PC, after described PC detects data, carrying out data unpacks, handle, analyze, thereby show whether the liquid water content in metallic particles quantity and the oil surpasses the pollution level that warning line gets final product the lubricating oil in the preliminary judgment device, distribute by the metal particle size grade, the judgment device fault is also carried out trend analysis.
2. according to the described method of claim 1, further feature is, described water content in oil cont signal input, by independent programme-controlled gain, anti-aliasing filtering is realized, described metallic particles count signal input, isolate by DC photoelectricity and to realize signal condition, can nurse one's health frequency range 1-500KHz, 5-30V.
3. according to the described method of claim 2, it is characterized in that described method can be expanded and be adapted to a plurality of concrete monitoring indexes simultaneously.
4. according to the described method of claim 3, it is characterized in that described A/D can extend to 16 road DI/DO, 32 tunnel analog channels, maximum sample frequency are 51.2KSPS, and expansion can reach 200KSPS, 14 of degree of accuracy, parallel no error code sampling.
5. according to the described method of claim 4, it is characterized in that described collection analysis module is by packing, transmission, reception, data operation, the mode of data processing and demonstration realizes reporting to the police and data transmission.
6. according to the described method of claim 5, it is characterized in that, the logic output of described warning line, its switch contact is output as 24VDC, 0.5A.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010101047721A CN102141565A (en) | 2010-02-03 | 2010-02-03 | Method for on-line monitoring and fault diagnosis of oils of wind turbine generator system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010101047721A CN102141565A (en) | 2010-02-03 | 2010-02-03 | Method for on-line monitoring and fault diagnosis of oils of wind turbine generator system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102141565A true CN102141565A (en) | 2011-08-03 |
Family
ID=44409233
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010101047721A Pending CN102141565A (en) | 2010-02-03 | 2010-02-03 | Method for on-line monitoring and fault diagnosis of oils of wind turbine generator system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102141565A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102721821A (en) * | 2012-07-01 | 2012-10-10 | 洛阳大工检测技术有限公司 | On-line system for automatically monitoring oil state of steam turbine oil in use |
| CN103033450A (en) * | 2012-12-14 | 2013-04-10 | 中国航空工业集团公司北京长城航空测控技术研究所 | On-line oil monitoring device and monitoring method for gearbox of wind turbine |
| CN103344435A (en) * | 2013-06-25 | 2013-10-09 | 沈阳奥吉娜化工有限公司 | Diagnostic method, device and system of working states of wind generation set |
| CN103411786A (en) * | 2013-08-15 | 2013-11-27 | 新疆维吾尔自治区风能研究所 | Method for diagnosing working condition of wind generating set through lubricating oil detection |
| CN103543253A (en) * | 2013-10-21 | 2014-01-29 | 中国航空工业集团公司北京长城航空测控技术研究所 | Networking communication method of on-line wind turbine generator gearbox oil liquid monitoring system |
| CN103808911A (en) * | 2013-12-09 | 2014-05-21 | 神华集团有限责任公司 | Lubricating oil detection device |
| CN104535477A (en) * | 2014-12-23 | 2015-04-22 | 重庆工商大学 | Novel oil pollution degree online monitoring device |
| CN103344435B (en) * | 2013-06-25 | 2016-11-30 | 沈阳奥吉娜化工有限公司 | The diagnostic method of Wind turbines duty, Apparatus and system |
| CN107402130A (en) * | 2017-08-18 | 2017-11-28 | 清华大学天津高端装备研究院 | A kind of wind turbine gearbox fault level evaluation method |
| CN107607694A (en) * | 2017-08-11 | 2018-01-19 | 佛山职业技术学院 | A kind of automatic gearbox oil detection means and its detection method |
| CN109738338A (en) * | 2019-02-12 | 2019-05-10 | 重庆邮电大学 | A kind of online metallic particles monitoring device of heavy caliber lubricant passage way and its detection method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003054482A2 (en) * | 2001-12-20 | 2003-07-03 | The Precision Instrument Corp. | An on-line oil condition sensor system for rotating and reciprocating machinery |
| CN101328917A (en) * | 2008-06-13 | 2008-12-24 | 宁波保税区天扬机械电子科技有限公司 | System and method for on-line monitoring hydraulic oil and lubricant oil conditions |
| CN101393108A (en) * | 2008-10-10 | 2009-03-25 | 南京航空航天大学 | Oil liquid abrasive grain on-line monitoring method and system |
-
2010
- 2010-02-03 CN CN2010101047721A patent/CN102141565A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003054482A2 (en) * | 2001-12-20 | 2003-07-03 | The Precision Instrument Corp. | An on-line oil condition sensor system for rotating and reciprocating machinery |
| CN101328917A (en) * | 2008-06-13 | 2008-12-24 | 宁波保税区天扬机械电子科技有限公司 | System and method for on-line monitoring hydraulic oil and lubricant oil conditions |
| CN101393108A (en) * | 2008-10-10 | 2009-03-25 | 南京航空航天大学 | Oil liquid abrasive grain on-line monitoring method and system |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102721821B (en) * | 2012-07-01 | 2013-07-31 | 洛阳大工检测技术有限公司 | On-line system for automatically monitoring oil state of steam turbine oil in use |
| CN102721821A (en) * | 2012-07-01 | 2012-10-10 | 洛阳大工检测技术有限公司 | On-line system for automatically monitoring oil state of steam turbine oil in use |
| CN103033450A (en) * | 2012-12-14 | 2013-04-10 | 中国航空工业集团公司北京长城航空测控技术研究所 | On-line oil monitoring device and monitoring method for gearbox of wind turbine |
| CN103344435B (en) * | 2013-06-25 | 2016-11-30 | 沈阳奥吉娜化工有限公司 | The diagnostic method of Wind turbines duty, Apparatus and system |
| CN103344435A (en) * | 2013-06-25 | 2013-10-09 | 沈阳奥吉娜化工有限公司 | Diagnostic method, device and system of working states of wind generation set |
| CN103411786A (en) * | 2013-08-15 | 2013-11-27 | 新疆维吾尔自治区风能研究所 | Method for diagnosing working condition of wind generating set through lubricating oil detection |
| CN103543253A (en) * | 2013-10-21 | 2014-01-29 | 中国航空工业集团公司北京长城航空测控技术研究所 | Networking communication method of on-line wind turbine generator gearbox oil liquid monitoring system |
| CN103808911A (en) * | 2013-12-09 | 2014-05-21 | 神华集团有限责任公司 | Lubricating oil detection device |
| CN104535477A (en) * | 2014-12-23 | 2015-04-22 | 重庆工商大学 | Novel oil pollution degree online monitoring device |
| CN104535477B (en) * | 2014-12-23 | 2017-03-15 | 重庆工商大学 | New contamination level of oil liquid on-Line Monitor Device |
| CN107607694A (en) * | 2017-08-11 | 2018-01-19 | 佛山职业技术学院 | A kind of automatic gearbox oil detection means and its detection method |
| CN107402130A (en) * | 2017-08-18 | 2017-11-28 | 清华大学天津高端装备研究院 | A kind of wind turbine gearbox fault level evaluation method |
| CN107402130B (en) * | 2017-08-18 | 2019-05-10 | 清华大学天津高端装备研究院 | A kind of wind turbine gearbox fault level evaluation method |
| CN109738338A (en) * | 2019-02-12 | 2019-05-10 | 重庆邮电大学 | A kind of online metallic particles monitoring device of heavy caliber lubricant passage way and its detection method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102141565A (en) | Method for on-line monitoring and fault diagnosis of oils of wind turbine generator system | |
| CN201886095U (en) | Test device of merging unit | |
| CN201355384Y (en) | System for detecting and managing partial discharge of switch cabinet on-line | |
| CN204142417U (en) | A kind of car force sensor endurance testing device | |
| CN201311360Y (en) | Vibrating online monitoring failure diagnostic device | |
| CN103019940B (en) | A kind of electric energy meter embedded software half simulation testing device | |
| CN214173430U (en) | A monitoring system that is used for efficiency ann healthy integration of ventilation blower or water pump | |
| CN102592878A (en) | Intelligent device and method for monitoring switch-on spring performance of vacuum circuit breaker | |
| CN110285045B (en) | Nuclear power plant RCP main pump vibration phase monitoring system and method | |
| CN101702008B (en) | Portable electric machine fault on-line diagnostic device | |
| CN101408465A (en) | Method for on-line monitoring conversion resistance force of switch machine | |
| CN106569165A (en) | Remote online detection system for metering performance of electronic electric energy meter | |
| CN201522549U (en) | Portable device for online diagnosing motor fault | |
| CN105403681A (en) | Water quality on-line monitoring instrument remote monitoring and control device and water quality on-line monitoring system | |
| CN103913728A (en) | Portable radar general-purpose tester and testing method | |
| CN101153893A (en) | Electric motor intelligent test system | |
| CN202661863U (en) | Remote monitoring system for reliability test | |
| CN202086996U (en) | Detecting system of fire truck | |
| CN205193064U (en) | Remote monitoring device and water quality automatic monitoring system of online water -quality monitor ware | |
| CN204758022U (en) | Movable high pressure combined electrical apparatus state diagnostic device | |
| CN104199418A (en) | Air compression station data acquisition and central control device | |
| CN102589908A (en) | Device for detecting fault of single module of CCBII brake | |
| CN202091172U (en) | Device for monitoring state and analyzing reliability of gas compressor | |
| CN112611413A (en) | Energy efficiency and health integrated monitoring method and device for ventilator or water pump | |
| CN2691123Y (en) | Real time on-line monitor for higt voltage equipment of transforming station |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20110803 |
|
| WD01 | Invention patent application deemed withdrawn after publication |