CN105823711A - Online monitoring method for oil abrasive particles - Google Patents
Online monitoring method for oil abrasive particles Download PDFInfo
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- CN105823711A CN105823711A CN201610239868.6A CN201610239868A CN105823711A CN 105823711 A CN105823711 A CN 105823711A CN 201610239868 A CN201610239868 A CN 201610239868A CN 105823711 A CN105823711 A CN 105823711A
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- signal
- particle signal
- oil liquid
- abrasive grain
- grain
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- 239000002245 particle Substances 0.000 title claims abstract description 50
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 239000003921 oil Substances 0.000 claims abstract description 41
- 238000001514 detection method Methods 0.000 claims abstract description 17
- 239000010687 lubricating oil Substances 0.000 claims abstract description 8
- 230000003321 amplification Effects 0.000 claims abstract description 5
- 238000003199 nucleic acid amplification method Methods 0.000 claims abstract description 5
- 238000001228 spectrum Methods 0.000 claims abstract description 4
- 239000007788 liquid Substances 0.000 claims description 33
- 239000006061 abrasive grain Substances 0.000 claims description 32
- 239000012530 fluid Substances 0.000 claims description 10
- 238000005070 sampling Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 230000005294 ferromagnetic effect Effects 0.000 description 7
- 238000005299 abrasion Methods 0.000 description 3
- 230000005611 electricity Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 239000008187 granular material Substances 0.000 description 1
- 238000005461 lubrication Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- Chemical & Material Sciences (AREA)
- Dispersion Chemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses an online monitoring method for oil abrasive particles. The method comprises the following steps: detecting an abrasive particle signal in an oil pipeline which is connected with a gearbox lubricating oil loop by a wind oil abrasive particle sensor; transferring the detected abrasive particle signal to a pre-amplification and denoising unit; amplifying and denoising the detected abrasive particle signal by the pre-amplification and denoising unit; transferring the amplified and denoised abrasive particle signal to a particle signal detection unit; generating a particle signal by the particle signal detection unit; transferring the particle signal to a false signal discrimination unit by the particle signal detection unit; discriminating the particle signal by the false signal discrimination unit; extracting characteristic values of the discriminated particle signal and generating a frequency spectrum.
Description
Technical field
The present invention relates to online measuring technique field, particularly to a kind of oil liquid abrasive grain on-line monitoring method.
Background technology
Oil liquid abrasive grain detection at present is for the oil liquid detection system of Wind turbines, according to Beijing Jiaotong University's Master's thesis proposes two class Cleaning Principle: one type is indirectly to judge the abrasion condition of gear-box inner body by the physical features of ferromagnetic grain in detection fluid, and this method has higher accuracy and reliability than vibration detection；Another kind is the quality by detecting fluid, as the data such as oil viscosity, water content, dustiness judge that the working order of gear-box abroad compares the WearScanner [i6] that FerroSCAN sensor that successful wear particle detection sensor mainly has Canadian GASTOPS company develop and MetalSCAN sensor, the multichannel abrasive particle enumerator of HIAC/ROYCO company of U.S. exploitation and scanning laser sensor (be not continuously on-line monitoring) and German PROFTECHNIK company develop.MetalSCAN abrasive particle sensor according to the signal phase of the non-ferromagnetic debris feature differentiation particle type contrary with ferromagnetic particle information, and can determine the size of abrasive particle according to the amplitude of signal.
Blower fan middle gear case, base bearing, blade bearing, dynamo bearing, yaw system bearing, brake system etc. are required for lubrication and ensure normal work, lubricate, rub, the important information of state of wear is embodied in the middle of the indices of fluid.At present, the correlation technique of existing oil product on-line analysis occurs, such as oil cleanness.The purpose of this type of technology is to aid in determining when more oil change, but can not the damage of effective prediction unit, abrasion especially in early days.
For the gearbox fault caused by gear wear, oil liquid abrasive grain detected representation has gone out the detection performance the sensitiveest compared to vibration monitoring.But yet suffer from deficiency: gear-box internal gear Numerous, by trouble unit can not be accurately positioned by the detection of metal worn particle.And due to the interference of glitch, the fault of gear-box can't be made Precise Diagnosis as vibrational state detects by oil liquid abrasive grain detection.The abrasive particle on-line sensor based on inductance type that Wuhan University of Technology's Research on Automobile's Reliability Engineering is developed also can only substantially distinguish granule size and the material of wear particle.In addition, also Railway Institutes Of Shijiazhuang research and development ferromagnetics abrasive particle on-line monitoring device and naval engineering university research and development Wear Particle Monitoring Using Ultrasonic Techniques sensor etc..
But these papers and patent not true and false in view of distinguishing signal accurately, thus the extraction accurately information ferromagnetic in fluid cannot done.
Summary of the invention
In order to solve at least one problem mentioned in background technology, the present invention provides a kind of and provides a kind of and guarantee the true of signal and oil liquid abrasive grain on-line monitoring method accurately.
To achieve these goals, the invention provides a kind of oil liquid abrasive grain on-line monitoring method, comprise the following steps:
Grain signal in wind oil liquid abrasive grain sensor detection gear box lubricating oil loop-coupled fluid pipeline；
The described grain signal detected is passed to preposition amplifying and noise reducing unit；
The described grain signal detected is amplified and noise reduction by described preposition amplifying and noise reducing unit；
Grain signal after amplification and noise reduction is passed to particle signal detector unit；
Described particle signal detector unit produces particle signal；
Described particle signal is passed to glitch discriminator unit by described particle signal detector unit；
Described particle signal is screened by described glitch discriminator unit；
Described particle signal after screening is carried out characteristics extraction and produces frequency spectrum.
Optionally, described glitch discriminator unit utilizes the examination algorithm of false particle signal that environmental disturbances causes and actual signal to screen.
Optionally, described wind oil liquid abrasive grain sensor will be used for gear-box and detect grain signal in gear box lubricating oil loop-coupled fluid pipeline in the course of the work.
Optionally, according to the suitable data sampling frequency of efficiently sampling frequency selection purposes of selected oil liquid abrasive grain sensor, data collecting card is then chosen, at supporting corresponding interface circuit, it is embedded in master controller, master controller is connected with computer, thus realize collection and the digital-to-analogue conversion of analogue signal.
The beneficial effect of oil liquid abrasive grain on-line monitoring method of the present invention: oil liquid abrasive grain on-line monitoring method of the present invention can monitor lubricating oil accurately in ferromagnetic content, glitch is screened algorithm and is screened the ferromagnetic signal of interference in real time, it is ensured that signal true, accurate.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of oil liquid abrasive grain on-line monitoring method of the present invention.
Fig. 2 is the structural representation of oil liquid abrasive grain on-line monitoring method of the present invention.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing, the embodiments of the present invention are explained in detail.But, it will be understood by those skilled in the art that in each embodiment of the present invention, in order to make reader be more fully understood that, the application proposes many ins and outs.But, even if there is no these ins and outs and many variations based on following embodiment and amendment, it is also possible to realize the application each claim technical scheme required for protection.
The present invention solves above-mentioned technical problem, the invention provides a kind of oil liquid abrasive grain on-line monitoring method, in conjunction with Fig. 1 to Fig. 2, the present embodiment is described in detail.Fig. 1 is the schematic flow sheet of oil liquid abrasive grain on-line monitoring method of the present invention, and Fig. 2 is the structural representation of oil liquid abrasive grain on-line monitoring method of the present invention.
A kind of oil liquid abrasive grain on-line monitoring method that the present invention provides, as it is shown in figure 1, comprise the following steps: step 10: grain signal in wind oil liquid abrasive grain sensor detection gear box lubricating oil loop-coupled fluid pipeline；Step 11: the described grain signal detected is passed to preposition amplifying and noise reducing unit；Step 12: the described grain signal detected is amplified and noise reduction by described preposition amplifying and noise reducing unit；Step 13: the grain signal after amplification and noise reduction is passed to particle signal detector unit；Step 14: described particle signal detector unit produces particle signal；Step 15: described particle signal is passed to glitch discriminator unit by described particle signal detector unit；Step 16: described particle signal is screened by described glitch discriminator unit；Step 17: the described particle signal after screening is carried out characteristics extraction and produces frequency spectrum.Step 16 utilizes the examination algorithm of false particle signal that environmental disturbances causes and actual signal to screen for described glitch discriminator unit further, step 10 will be used for gear-box for described wind oil liquid abrasive grain sensor further and detect grain signal in gear box lubricating oil loop-coupled fluid pipeline in the course of the work, or further optional following method: according to the suitable data sampling frequency of efficiently sampling frequency selection purposes of selected oil liquid abrasive grain sensor, then data collecting card is chosen, at supporting corresponding interface circuit, it is embedded in master controller, master controller is connected with computer, thus realize collection and the digital-to-analogue conversion of analogue signal.
The oil pipes such as DN50, DN32 that Wind turbines employing aperture is bigger, corresponding through-hole diameter is 40mm, 27mm, is far longer than tested particle size (200～1500 μm).Therefore, plus and blowup and the noise suppressed of oil liquid abrasive grain sensor small-signal are extremely important.Through measuring and calculating, gain factor at least should reach 90dB, in addition it is also necessary to the on-the-spot adverse circumstances noise of suppression.
When judging oil liquid abrasive grain situation, screen algorithm in conjunction with glitch, determine oil liquid abrasive grain situation, obtain gear case of blower abrasion condition, thus realize the on-line checking to gear-box.
The present invention at least has the following advantages:
1. oil liquid abrasive grain is a kind of lossless detection method, it is adaptable to wind-powered electricity generation detection field, it is possible to reduce wind-power electricity generation maintenance cost, increase the service life and guarantee safe power supply；
2. this detection is little affected by material and the restriction of component geometry, and the suitability is the strongest；
3. the method can communicate with the pitch-controlled system of wind power generating set and brake system, under gear-box is in extreme wear, controls blower fan, stoppage protection equipment.
It will be understood by those skilled in the art that the respective embodiments described above are to realize the specific embodiment of the present invention, and in actual applications, can to it, various changes can be made in the form and details, without departing from the spirit and scope of the present invention.
Claims (4)
1. an oil liquid abrasive grain on-line monitoring method, it is characterised in that comprise the following steps:
Grain signal in wind oil liquid abrasive grain sensor detection gear box lubricating oil loop-coupled fluid pipeline；
The described grain signal detected is passed to preposition amplifying and noise reducing unit；
The described grain signal detected is amplified and noise reduction by described preposition amplifying and noise reducing unit；
Grain signal after amplification and noise reduction is passed to particle signal detector unit；
Described particle signal detector unit produces particle signal；
Described particle signal is passed to glitch discriminator unit by described particle signal detector unit；
Described particle signal is screened by described glitch discriminator unit；
Described particle signal after screening is carried out characteristics extraction and produces frequency spectrum.
Oil liquid abrasive grain on-line monitoring method the most according to claim 1, it is characterised in that: described glitch discriminator unit utilizes the examination algorithm of false particle signal that environmental disturbances causes and actual signal to screen.
Oil liquid abrasive grain on-line monitoring method the most according to claim 1, it is characterised in that: described wind oil liquid abrasive grain sensor will be used for gear-box and detect grain signal in gear box lubricating oil loop-coupled fluid pipeline in the course of the work.
Oil liquid abrasive grain on-line monitoring method the most according to claim 3, it is characterized in that: according to the suitable data sampling frequency of efficiently sampling frequency selection purposes of selected oil liquid abrasive grain sensor, then data collecting card is chosen, at supporting corresponding interface circuit, it is embedded in master controller, master controller is connected with computer, thus realizes collection and the digital-to-analogue conversion of analogue signal.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610239868.6A CN105823711A (en) | 2016-04-18 | 2016-04-18 | Online monitoring method for oil abrasive particles |
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| CN201610239868.6A CN105823711A (en) | 2016-04-18 | 2016-04-18 | Online monitoring method for oil abrasive particles |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107356447A (en) * | 2017-07-19 | 2017-11-17 | 京东方科技集团股份有限公司 | A kind of equipment attrition abnormality diagnostic method, system and device |
| CN107688311A (en) * | 2017-09-22 | 2018-02-13 | 九江清研扬天科技有限公司 | A kind of wind-powered electricity generation intelligent lubricating panel control system |
| CN108195726A (en) * | 2017-12-21 | 2018-06-22 | 爱德森（厦门）电子有限公司 | A kind of online fluid metal worn particle electromagnetic monitoring test tube |
| CN108896454A (en) * | 2018-09-18 | 2018-11-27 | 大连海事大学 | A kind of multichannel wear particle detection method and device based on time-division multiplex technology |
| CN112665856A (en) * | 2020-12-16 | 2021-04-16 | 华东交通大学 | Online monitoring system for gear box |
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| CN112665856A (en) * | 2020-12-16 | 2021-04-16 | 华东交通大学 | Online monitoring system for gear box |
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Application publication date: 20160803 |
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