CN101832902A - Oil analysis method for diagnosing equipment failure - Google Patents
Oil analysis method for diagnosing equipment failure Download PDFInfo
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- CN101832902A CN101832902A CN201010143921A CN201010143921A CN101832902A CN 101832902 A CN101832902 A CN 101832902A CN 201010143921 A CN201010143921 A CN 201010143921A CN 201010143921 A CN201010143921 A CN 201010143921A CN 101832902 A CN101832902 A CN 101832902A
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Abstract
The invention discloses an oil analysis method for diagnosing an equipment failure. The method comprises the following steps of: 1) arranging cellulose nitrate filter membranes with different filter pore sizes in turn from large pore size to small pore size and allowing oil to be tested to flow through the cellulose nitrate filter membranes in turn; 2) arranging the cellulose nitrate filter membranes on a glass slide in turn from large pore size to small pore size; 3) dissolving the cellulose nitrate filter membranes with dimethyl formamide aqueous solution to leave wear particles arranged according to a particle size gradient on the glass slide; and 4) shooting and analyzing the wear particles on the glass slide to diagnose the equipment failure. The oil is filtered by using the cellulose nitrate filter membranes with different filter pore sizes and the wear particles on the glass slide are arranged according to different sizes, so that the method contributes to microscope observation and video camera shooting, realizes richer information content, higher definition and higher wear particle dispersion degree on an acquired wear map and contributes to realizing automatic recognition of the wear map and improving the accuracy of failure diagnosis.
Description
Technical field
The present invention relates to a kind of equipment fault diagnosis method, relate in particular to a kind of oil analysis method for diagnosing equipment failure.
Background technology
The method of equipment fault diagnosis is a lot, and the whole bag of tricks has different sensitivity to dissimilar equipment, so effect is also different.Fault diagnosis technology based on oil analysis is specially adapted to large hydraulic equipment.The oil analysis technology be by analytical equipment with lubricator or the situation of the performance change of actuating medium and the wear particle that carries, thereby the information of the lubricated and state of wear of the equipment of acquisition, the operating mode of valuator device and prediction fault, and the technology of definite failure cause, type and position.Usually, oil analysis method for diagnosing equipment failure can be by prolonging equipment oil draining period or correctly select for use lubricant to obtain benefit, the more important thing is by the potential fault of timely forecast, and averting a calamity property damage or make the equipment that is in normal operation reduce unnecessary maintenance and increase the output value and benefit.
Initial oil analysis is the oil contamination analysis, mainly is the physical and chemical index of analyzing oil product, to estimate the variation of its quality.In recent years, the focus of the research and development of oil analysis method for diagnosing equipment failure concentrates on online oil liquid monitoring method, abrasive particle automatic identification technology and based on these three aspects of intelligent diagnosis system of oil liquid monitoring.1. online oil liquid monitoring, online oil liquid monitoring only provides the distributed intelligence of fluid wear particle size, in order to the running status of preliminary judgment device, determines whether to adopt the further diagnostic device fault of other analytical approach.Up to now, the principle of online oil liquid monitoring method mainly contains: method of magnetic, counting method, material characteristics method etc.2. the automatic identification technology of abrasive particle, wear Particles Recognition is the core of analyzing iron spectrum most characteristic in the oil analysis method, since ferrous specturm technique produces, wear Particles Recognition is to realize by microscopic examination by the analyst all the time, this analysis depends on the quality of what and even the state of mind of analyst's knowledge, experience, is again a uninteresting time-consuming operation simultaneously.Attracted numerous researchers although abrasive particle is discerned this research direction automatically,, restricted the collection of illustrative plates realization of identification automatically because the sharpness and the particle dispersion degree of the formed collection of illustrative plates of ferrous specturm technique are lower, and the progress of achieving no breakthrough property.At present, wear Particles Recognition still can't be left the analyst.3. based on the development of the fault diagnosis expert system of oil liquid monitoring, it is made up of a driver, an expert system and database three parts, is used to the result who explains that fluid physical and chemical index and wear information are analyzed.
Ferrous specturm technique is present topmost oil analysis method, yet it has exemplary limitation: 1. operating process extremely relies on people's experience; 2. automaticity is low; 3. the wear particle dispersion degree is low, has increased the difficulty of wear particle information extraction.These limitations have seriously restricted the widespread use of oil analysis technology in equipment fault diagnosis.
Summary of the invention
At weak point of the prior art, the invention provides a kind of oil analysis method for diagnosing equipment failure, the wearing and tearing collection of illustrative plates that this method is obtained has the quantity of information of horn of plenty more, higher sharpness and the wear particle dispersion degree of Geng Gao, help realizing the wearing and tearing automatic identification of collection of illustrative plates improves the accuracy of fault diagnosis.
Oil analysis method for diagnosing equipment failure provided by the invention comprises the following steps:
1) nitrocellulose filter of the different pore size filters size by pore size filter is arranged in order from big to small, allow fluid to be measured from the big filter aperture to the little pore size filter direction nitrocellulose filter of flowing through successively;
2) from big to small be sequentially arranged in microslide on by the pore size filter size nitrocellulose filter;
3) dissolve away nitrocellulose filter with the dimethyl formamide aqueous solution, make and stay the wear particle of arranging with particle size gradient on the microslide;
4) to the shooting of the wear particle of microslide and analyze the diagnostic device fault.
Further, in described step 4),, and compare the diagnostic device fault with intrasystem spectrum library with the information input fault diagnostic expert system that obtained of shooting.
Beneficial effect of the present invention: the nitrocellulose filter that the present invention adopts different pore size filters is arranged in order from big to small by the size of pore size filter, allow fluid to be measured these nitrocellulose filters of flowing through successively filter, wear particle in the fluid is pressed the Size Distribution of different pore size filter sizes on different nitrocellulose filters, then, be placed on different nitrocellulose filters on the microslide successively, adopt the dimethyl formamide aqueous solution that nitrocellulose filter is dissolved away, make and stay wear particle on the microslide, at this moment, wear particle distributes successively by different sizes on the microslide, help the shooting of microscopic and video camera, the wearing and tearing collection of illustrative plates that obtains has the more quantity of information of horn of plenty, the wear particle dispersion degree of higher sharpness and Geng Gao also helps improving the automatic recognition capability of wearing and tearing collection of illustrative plates and the accuracy of fault diagnosis.
Description of drawings
Fig. 1 comes structural representation on the microslide for wear particle successively by particle size gradient;
Fig. 2 is the process flow diagram of hydraulically operated equipment (HOE) fault diagnosis.
Embodiment
Below in conjunction with the drawings and specific embodiments the present invention is done to describe in further detail.
A kind of oil analysis method for diagnosing equipment failure comprises the following steps:
1) nitrocellulose filter of the different pore size filters size by pore size filter is arranged in order from big to small, allow fluid to be measured from the big filter aperture to the little pore size filter direction nitrocellulose filter of flowing through successively.
2) nitrocellulose filter is sequentially arranged on the microslide 1 from big to small by the pore size filter size.
3) dissolve away nitrocellulose filter with the dimethyl formamide aqueous solution, make and stay the wear particle of arranging with particle size gradient on the microslide 1.As shown in Figure 1, can be by the size of pore size filter, greater than 100u, pore size filter 50u～100u, pore size filter 10u～50u and the pore size filter nitrocellulose filter less than four kinds of specifications of 10u, the size by pore size filter behind the nitrocellulose filter of these the four kinds of specifications filtration fluid comes on the microslide successively as pore size filter among the figure.Certainly, also can adopt the nitrocellulose filter of other different pore size filters and quantity according to the actual requirements.
4) to the shooting of the wear particle of microslide 1 and analyze the diagnostic device fault.
Among the present invention, video camera can be connected with computing machine, make the figure spectrum information input fault diagnostic expert system of video camera shooting acquisition, and compare the diagnostic device fault with intrasystem spectrum library.
Use oil analysis method of the present invention to carry out the flow process of hydraulically operated equipment (HOE) fault diagnosis, as shown in Figure 2.The first step, the sampling of equipment fluid; Second step, the nitrocellulose filter of the different pore size filters size by pore size filter is arranged in order from big to small, allow the fluid to be measured nitrocellulose filter of flowing through successively filter, wear particle in the fluid is pressed the Size Distribution of different pore size filter sizes on different nitrocellulose filters, then, from big to small be sequentially arranged in microslide on by the pore size filter size nitrocellulose filter, adopt the dimethyl formamide aqueous solution that nitrocellulose filter is dissolved away, make and stay wear particle on the microslide, at this moment, wear particle distributes successively by different sizes on the microslide.The nitrocellulose filter of above-mentioned employing and microslide also can be made the automatic equipment (as full spectrometer system spectrum) of interlock; The 3rd step is with microscopic and the shooting of high-resolution video camera; The 4th step, utilize the computing machine that is connected with the high-resolution video camera to obtain the collection of illustrative plates of shooting, realize that full spectrum information extracts automatically, and the full spectrum information input fault diagnostic expert system that will extract, by with the full spectrum spectrum library that stores in advance in collection of illustrative plates compare analysis, diagnostic result and maintenance maintenance countermeasure are proposed.
Explanation is at last, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although the present invention is had been described in detail with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can make amendment or be equal to replacement technical scheme of the present invention, and not breaking away from the aim and the scope of technical solution of the present invention, it all should be encompassed in the middle of the claim scope of the present invention.
Claims (2)
1. an oil analysis method for diagnosing equipment failure is characterized in that, comprises the following steps:
1) nitrocellulose filter of the different pore size filters size by pore size filter is arranged in order from big to small, allow fluid to be measured from the big filter aperture to the little pore size filter direction nitrocellulose filter of flowing through successively;
2) from big to small be sequentially arranged in microslide on by the pore size filter size nitrocellulose filter;
3) dissolve away nitrocellulose filter with the dimethyl formamide aqueous solution, make and stay the wear particle of arranging with particle size gradient on the microslide;
4) to the shooting of the wear particle of microslide and analyze the diagnostic device fault.
2. oil analysis method for diagnosing equipment failure according to claim 1 is characterized in that: in described step 4), with the information input fault diagnostic expert system that obtained of shooting, and compare the diagnostic device fault with intrasystem spectrum library.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010101439215A CN101832902B (en) | 2010-04-09 | 2010-04-09 | Oil analysis method for diagnosing equipment failure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN2010101439215A CN101832902B (en) | 2010-04-09 | 2010-04-09 | Oil analysis method for diagnosing equipment failure |
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| CN101832902A true CN101832902A (en) | 2010-09-15 |
| CN101832902B CN101832902B (en) | 2012-04-04 |
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| CN2010101439215A Expired - Fee Related CN101832902B (en) | 2010-04-09 | 2010-04-09 | Oil analysis method for diagnosing equipment failure |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106482938A (en) * | 2016-10-14 | 2017-03-08 | 温州大学 | Brake fluid system multi-source fusion fault predicting method based on GA BP network |
| CN107505237A (en) * | 2017-08-07 | 2017-12-22 | 安徽容知日新科技股份有限公司 | Fluid metal particle sensor test system and method for testing |
| CN107966449A (en) * | 2017-11-29 | 2018-04-27 | 王素均 | A kind of oil cleanliness detector and its detection method |
| CN111272421A (en) * | 2020-02-27 | 2020-06-12 | 崇左南方水泥有限公司 | Open gear wear online detection system of rotary cement kiln |
| CN111458268A (en) * | 2020-03-04 | 2020-07-28 | 扬州大学 | Device for observing distribution of liquid drops on filter screen and using method thereof |
| CN113776916A (en) * | 2021-09-10 | 2021-12-10 | 广州机械科学研究院有限公司 | Filter membrane and filter membrane application method |
| CN113776916B (en) * | 2021-09-10 | 2024-04-26 | 广州机械科学研究院有限公司 | Filter membrane and filter membrane application method |
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| JPS5937444A (en) * | 1982-08-25 | 1984-02-29 | Showa Mfg Co Ltd | Method for measuring minute particle in hydraulic fluid |
| US5427664A (en) * | 1993-07-22 | 1995-06-27 | Stoev; Stoyan V. | Free solution electrophoresis-membrane filters trapping assay apparatus and method |
| CN1095541C (en) * | 1998-12-18 | 2002-12-04 | 南京航空航天大学 | Spectrometer for particles in oil sample |
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2010
- 2010-04-09 CN CN2010101439215A patent/CN101832902B/en not_active Expired - Fee Related
Patent Citations (3)
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| JPS5937444A (en) * | 1982-08-25 | 1984-02-29 | Showa Mfg Co Ltd | Method for measuring minute particle in hydraulic fluid |
| US5427664A (en) * | 1993-07-22 | 1995-06-27 | Stoev; Stoyan V. | Free solution electrophoresis-membrane filters trapping assay apparatus and method |
| CN1095541C (en) * | 1998-12-18 | 2002-12-04 | 南京航空航天大学 | Spectrometer for particles in oil sample |
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| 《化学工程》 19920425 金鼎五 《动态膜滤技术的研究动向》 第37-41页 1-2 第20卷, 第2期 2 * |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106482938A (en) * | 2016-10-14 | 2017-03-08 | 温州大学 | Brake fluid system multi-source fusion fault predicting method based on GA BP network |
| CN106482938B (en) * | 2016-10-14 | 2018-08-03 | 温州大学 | Brake fluid system multi-source fusion failure predicting method based on GA-BP networks |
| CN107505237A (en) * | 2017-08-07 | 2017-12-22 | 安徽容知日新科技股份有限公司 | Fluid metal particle sensor test system and method for testing |
| CN107966449A (en) * | 2017-11-29 | 2018-04-27 | 王素均 | A kind of oil cleanliness detector and its detection method |
| CN111272421A (en) * | 2020-02-27 | 2020-06-12 | 崇左南方水泥有限公司 | Open gear wear online detection system of rotary cement kiln |
| CN111272421B (en) * | 2020-02-27 | 2020-09-29 | 崇左南方水泥有限公司 | Open gear wear online detection system of rotary cement kiln |
| CN111458268A (en) * | 2020-03-04 | 2020-07-28 | 扬州大学 | Device for observing distribution of liquid drops on filter screen and using method thereof |
| CN113776916A (en) * | 2021-09-10 | 2021-12-10 | 广州机械科学研究院有限公司 | Filter membrane and filter membrane application method |
| CN113776916B (en) * | 2021-09-10 | 2024-04-26 | 广州机械科学研究院有限公司 | Filter membrane and filter membrane application method |
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| CN101832902B (en) | 2012-04-04 |
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