CN104006969B - Online automatic-detection sliding bearing fault early-warning system and expansion amount measurement method - Google Patents
Online automatic-detection sliding bearing fault early-warning system and expansion amount measurement method Download PDFInfo
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Abstract
The invention relates to an online automatic-detection sliding bearing fault early-warning system and an expansion amount measurement method. The system comprises a data collecting module, a data filtering and processing module, an analog-to-digital conversion processing module, a CPU, a limit value calculating and processing module and an early-warning and alarming output module, wherein the data collecting module, the data filtering and processing module, the analog-to-digital conversion processing module, the CPU, the limit value calculating and processing module and the early-warning and alarming output module are connected in sequence, the data collecting module is used for collecting the gap values between a valve shaft and a bearing bush, the limit value calculating and processing module is used for calculating the limit value of the expansion amount, the early-warning and alarming output module is used for performing early-warming or alarming according to the calculation result of the limit value calculating and processing module, and the data collecting module penetrates through the bearing bush to make contact with the valve shaft. The measurement method includes the following steps that the gap values d3 and d33 are detected, calculation is performed, and alarming is output. According to the online automatic-detection sliding bearing fault early-warning system and the expansion amount measurement method, the data collecting module is adopted for detecting the dynamic side domain of a sliding bearing at normal temperature and determining the dynamic side domain as a constant value domain, then, a high-temperature time domain value is measured, comparison is performed, and therefore fault early-warning and fault alarming are output, the control resolution is 0.0013 mm, and the linearity is +/-1.5%.
Description
Technical field
The present invention relates to the early warning information that a kind of automatic fault detects, especially sliding bearing fault early warning system and swell increment measuring method are detected to on-line automaticization that Nuclear Safety valve group valve sliding bearing swell increment detects.
Background technology
World today has more than 500 nuclear power station, and total volume reaches 400,000,000 KW, accounts for 16.1% of gross generation; China, over nearly more than 20 years, also build many nuclear power stations, but nuclear power production only accounts for 1.2% of gross generation.In order to accelerate the development of Nuclear Electricity, country proposes to build nuclear power plant again before the year two thousand twenty, and the ratio of nuclear power is risen to 4%.
The intelligent reheating bivalve group of steam turbine for nuclear power station is mounted in the non-nuclear grade valve of (being positioned in the import of low-pressure turbine upstream) on the pipeline between separator and low-pressure turbine, is the crucial annex of generator of nuclear power station group safe operation.Its major function is: when steam turbine trips, rapid steam off pipeline, prevents a large amount of steam in separator and associated pipe from entering low pressure (LP) cylinder, to prevent the danger of low-pressure turbine overspeed operation.In nuclear power generator group, the nuclear power generating sets steam turbine of one group of 1,000,000 grade needs at least 4 such valves to install side by side to form.This high-end product also only has a few producers such as French Wan Delai, German Adiemus, Mitsubishi to produce abroad at present.Domestic Ji Jia large-size steam turbine factory has possessed Design and manufacture ability in common nuclear grade valve; but the critical valves of high request such as steam turbine for nuclear power station requires tight with reheating bivalve group technique; safety coefficient is high; and be limited by the restriction of external product intellectual property protection; the domestic independent development to this technology fails to obtain breakthrough progress always; cause the basic dependence on import of current this nucleoid valve product of nuclear power reheating bivalve group; expensive and maintenance cost is high, the critical valves annex that Nuclear Safety runs still is limited by international vendor.
Summary of the invention
To be in operation the impact of cold and hot expansion on its jam to overcome bivalve group, the invention provides a kind of on-line automaticization and detect sliding bearing fault early warning system and swell increment measuring method, by reaching On-line Fault warning function to valve Sliding bush, the on-line monitoring of valve shaft swell increment, data preparation.
The invention provides a kind of on-line automaticization and detect sliding bearing fault early warning system, it comprise connect successively for gathering the data acquisition module of the gap width between valve shaft and bearing shell, data filtering processing module, analog-to-digital conversion process module, CPU, for calculating the ultimate value computing module of swell increment and carrying out early warning, the alarm output module of early warning or alarm operation according to the result that ultimate value computing module calculates, described data acquisition module contacts with valve shaft through bearing shell.
Described data acquisition module is vertically placed, its one end and valve shaft tangent, the shell of data acquisition module is parallel with the inner circle of bearing shell.
Described data acquisition module adopts the high precision linear displacement transducer of high pressure-temperature.
For a swell increment measuring method for above-mentioned fault early warning system, it comprises the steps:
One, the boundary value that valve shaft during data collecting module collected room temperature 25 degree runs is reference edge dividing value d1, and the boundary value of bearing shell is d2, and its gap width is d2-d1=d3;
The boundary value of the valve shaft two, after data collecting module collected heating is d11, and the boundary value of bearing shell is d22, and its gap width is d22-d11=d33;
Three, image data is input to CPU successively after data filtering processing module, the conversion of analog-to-digital conversion process resume module;
Four, CPU is calculated according to d33/d3*100% by ultimate value computing module;
Five, be greater than according to result of calculation 80% carry out expansion early warning output, result of calculation be greater than 90% carry out the output of expansion fault alarm, result of calculation is greater than 130% and carries out bearing wear and report to the police and to export and result of calculation is greater than 150% and carries out the output of bearing wear fault alarm.
The gap width obtained in described step one and step 2 is through data filtering processing module filtration treatment.
The gap width obtained in described step one and step 2 is through data filtering processing module weighting process.
The invention has the beneficial effects as follows: with data acquisition module, the territory, dynamic limit of carrying out sliding bearing is at normal temperatures detected, and is defined as constant codomain, time-domain value again during pyrometry, compares, thus exports fault pre-alarming and fault alarm, its control resolution at 0.0013mm, the linearity ± 1.5%.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
Fig. 2 is that A in Fig. 1 is to enlarged drawing.
Fig. 3 is that B in Fig. 1 is to enlarged drawing.
Fig. 4 is system chart of the present invention.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the present invention is further illustrated:
The detection of Nuclear Safety valve group valve sliding bearing swell increment concerns the jam of valve, affects the air pressure adjustment of pipeline, thus affects the function of whole steam turbine for nuclear power station.
For practicable country is about the requirement promoting the production domesticization of nuclear power auxiliary products, the competitive power of Development of Domestic brand, promote the level of China's nuclear power support equipment independent research, improve the localization rate of parts and components of nuclear power generating equipment, the present invention with the steam turbine for nuclear power station reheating bivalve group of independent development for research object, intend by under cold and hot condition, on the impact that valve group is run during the thermal expansion of transmission topworks, the analysis of the gordian techniquies such as on-line monitoring method, carry out the optimization of reheating bivalve group valve opening and closing characteristic and the research of intellectualized technology, improve the safety coefficient that reheating bivalve group valve runs, realize the technical breakthrough of domestic steam turbine for nuclear power station reheating bivalve set product.
As shown in Figure 2 and Figure 4, the invention provides a kind of on-line automaticization and detect sliding bearing fault early warning system, it comprises the data acquisition module for gathering the gap width between valve shaft 3 and bearing shell 2 connected successively, data filtering processing module, analog-to-digital conversion process module, CPU, for calculating the ultimate value computing module of swell increment and carrying out the early warning of early warning or alarm operation according to the result that ultimate value computing module calculates, alarm output module, described data acquisition module contacts with valve shaft through bearing shell, described data acquisition module is vertically placed, its one end and valve shaft 3 tangent, its shell is parallel with the inner circle of bearing shell 2, described data acquisition module adopts the high precision linear displacement transducer of high pressure-temperature.
As shown in figures 1 and 3, the installation method of high precision linear displacement transducer 1, described high precision linear displacement transducer 1 perpendicular to ground level, and and valve shaft 3 tangent.Bearing shell 2 and valve shaft 3 circumference are rotatably assorted, and high precision linear displacement transducer 1 is placed on the central point of bearing shell 2 side, and the shell of high precision linear displacement transducer 1 is parallel with the inner circle of bearing shell 2.When valve shaft 3 and bearing shell 2 rotational motion, high precision linear displacement transducer 1 can detect the gap width between valve shaft 3 and bearing shell 2 in real time, in the process run, detects in real time.
As shown in Figure 4, a kind of swell increment measuring method for above-mentioned fault early warning system, its job step is as follows:
One, the boundary value that valve shaft during data collecting module collected room temperature 25 degree runs is reference edge dividing value d1, and the boundary value of bearing shell is d2, and its gap width is d2-d1=d3; When room temperature is 25 degree, be set as normal temperature state, then carry out valve shaft and the bearing shell circumference territory, dynamic limit of rotating is detected, be defined as constant codomain, namely obtain the reference edge dividing value d1 of valve shaft, the boundary value of bearing shell is d2, then show that gap width is d2-d1=d3.
The boundary value of the valve shaft two, after data collecting module collected heating is d11, and the boundary value of bearing shell is d22, and its gap width is d22-d11=d33; When hot operation, data acquisition module carries out valve shaft and the circumferential territory, dynamic limit of rotating of bearing shell is detected, and the boundary value obtaining valve shaft is d11, and the boundary value of bearing shell is d22, and its gap width is d22-d11=d33.
Three, image data is input to CPU through data filtering processing module, analog-to-digital conversion process module successively;
Four, CPU is calculated according to d33/d3*100% by ultimate value computing module; Namely gap width during high temperature, divided by the gap width of normal temperature, obtains ratio between the two.
Five, be greater than according to result of calculation 80% carry out expansion early warning output, result of calculation be greater than 90% carry out the output of expansion fault alarm, result of calculation is greater than 130% and carries out bearing wear and report to the police and to export and result of calculation is greater than 150% and carries out the output of bearing wear fault alarm.
According to the dynamic in real time territory, limit detecting valve shaft and bearing shell in real time, and calculated by d33/d3*100%, the result obtained exports early warning or warning respectively according to being greater than 80%, 90%, 130% and 150%, realizes real-time monitor and detection.
The gap width obtained in described step one and step 2 is through data filtering processing module filtration treatment.Filtration treatment, namely carries out the filtration of clutter to the received signal, ensures the accuracy of signal.
The gap width obtained in described step one and step 2 is through data filtering processing module weighting process.Statistics is thought, when calculating the indexs such as average in statistics, the numerical value each variate-value to effect of weighing the relative importance just is called flexible strategy.Example: the average 63,34,12 asking following string, counts and ask method to be (3 × 6+4 × 3+2 × 1)/3 ≈ 10.67, and weighting asks method to be (3 × 6+4 × 3+2 × 1)/(6+3+1)=3.2.Wherein 3 occur 6 times, and 4 occur 3 times, and 2 occur 1 time.6,3,1 just flexible strategy are.This method is weighted method.Average in general, exactly all numbers are added up, total then the number counted divided by these.Be expressed as: (p1+p2+p3+ ... ..+pn)/n; But the data having some identical in some data records, when calculating, that number has several identical number, and just this number is multiplied by several, these are several, is just power, weighting, be multiplied by exactly several after add again.Average still will divided by total number.
Or for each number above: the number of each numeral is expressed as: k1, k2, k3 ... .kn; Average weighted formula is: (k1p1+k2p2+k3p3+ ... knpn)/(k1+k2+k3+......kn).Adopt weighting process, improve the accuracy detecting data.
The present invention compare with other measuring methods displacement measurement by temperature, pressure medium, infrared etc. to affect, repeatable accuracy is high, structure is simple, simple installation, working stability, in the fluid line of high temperature, high pressure, leakproofness, there is very high practical value on-line checkingi and the online fault pre-alarming aspect of carrying out robotization.
Embodiment should not be considered as limitation of the present invention, but any improvement done based on spirit of the present invention, all should within protection scope of the present invention.
Claims (6)
1. on-line automaticization detects sliding bearing fault early warning system, it is characterized in that: it comprise connect successively for gathering the data acquisition module of the gap width between valve shaft and bearing shell, data filtering processing module, analog-to-digital conversion process module, CPU, for calculating the ultimate value computing module of swell increment and carrying out early warning, the alarm output module of early warning or alarm operation according to the result that ultimate value computing module calculates, described data acquisition module contacts with valve shaft through bearing shell.
2. on-line automaticization according to claim 1 detects sliding bearing fault early warning system, and it is characterized in that, described data acquisition module is vertically placed, its one end and valve shaft tangent, the shell of data acquisition module is parallel with the inner circle of bearing shell.
3. on-line automaticization according to claim 2 detects sliding bearing fault early warning system, it is characterized in that, described data acquisition module adopts the high precision linear displacement transducer of high pressure-temperature.
4., for a swell increment measuring method for fault early warning system according to claim 1, it is characterized in that: it comprises the steps:
One, the boundary value that valve shaft during data collecting module collected room temperature 25 degree runs is reference edge dividing value d1, and the boundary value of bearing shell is d2, and its gap width is d2-d1=d3;
The boundary value of the valve shaft two, after data collecting module collected heating is d11, and the boundary value of bearing shell is d22, and its gap width is d22-d11=d33;
Three, image data is input to CPU successively after data filtering processing module, the conversion of analog-to-digital conversion process resume module;
Four, CPU is calculated according to d33/d3*100% by ultimate value computing module;
Five, be greater than according to result of calculation 80% carry out expansion early warning output, result of calculation be greater than 90% carry out the output of expansion fault alarm, result of calculation is greater than 130% and carries out bearing wear and report to the police and to export and result of calculation is greater than 150% and carries out the output of bearing wear fault alarm.
5. swell increment measuring method according to claim 4, is characterized in that, the gap width obtained in described step one and step 2 is through data filtering processing module filtration treatment.
6. swell increment measuring method according to claim 4, is characterized in that, the gap width obtained in described step one and step 2 is through data filtering processing module weighting process.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3829979A (en) * | 1972-06-09 | 1974-08-20 | D Stewart | Valve clearance measuring apparatus |
| CN1573142A (en) * | 2003-06-03 | 2005-02-02 | Skf股份公司 | Sliding bearing having spherical or columnar bearing surface |
| CN1793816A (en) * | 2005-12-30 | 2006-06-28 | 合肥工业大学 | Multifunction sliding bearing experimental platform |
| CN201251422Y (en) * | 2008-09-13 | 2009-06-03 | 永济新时速电机电器有限责任公司 | Tool for measuring swelling capacity of outer diameter |
| CN201589704U (en) * | 2009-12-28 | 2010-09-22 | 攀钢集团冶金工程技术有限公司 | Device for detecting clearances and synchronization of sliding bearings |
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2014
- 2014-06-13 CN CN201410262653.7A patent/CN104006969B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3829979A (en) * | 1972-06-09 | 1974-08-20 | D Stewart | Valve clearance measuring apparatus |
| CN1573142A (en) * | 2003-06-03 | 2005-02-02 | Skf股份公司 | Sliding bearing having spherical or columnar bearing surface |
| CN1793816A (en) * | 2005-12-30 | 2006-06-28 | 合肥工业大学 | Multifunction sliding bearing experimental platform |
| CN201251422Y (en) * | 2008-09-13 | 2009-06-03 | 永济新时速电机电器有限责任公司 | Tool for measuring swelling capacity of outer diameter |
| CN201589704U (en) * | 2009-12-28 | 2010-09-22 | 攀钢集团冶金工程技术有限公司 | Device for detecting clearances and synchronization of sliding bearings |
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Denomination of invention: Online automatic-detection sliding bearing fault early-warning system and expansion amount measurement method Effective date of registration: 20161220 Granted publication date: 20150624 Pledgee: Bank of China Limited by Share Ltd Wenzhou Longwan branch Pledgor: Jiangnan Valve Co., Ltd. Registration number: 2016990001141 |
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Date of cancellation: 20200710 Granted publication date: 20150624 Pledgee: Bank of China Limited by Share Ltd. Wenzhou Longwan branch Pledgor: JIANGNAN VALVE Co.,Ltd. Registration number: 2016990001141 |