CN111530943B - On-line diagnosis method for finishing mill - Google Patents
On-line diagnosis method for finishing mill Download PDFInfo
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- CN111530943B CN111530943B CN202010442815.0A CN202010442815A CN111530943B CN 111530943 B CN111530943 B CN 111530943B CN 202010442815 A CN202010442815 A CN 202010442815A CN 111530943 B CN111530943 B CN 111530943B
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- finishing mill
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
Abstract
The invention relates to an online diagnosis method for a finishing mill, and belongs to the technical field of spot inspection of high-speed wire finishing mills. The technical scheme of the invention is as follows: classifying online faults of the finishing mill into three types, wherein the first type is a bearing damage fault, the second type is a gear meshing fault, and the third type is a lubrication failure fault; setting three point inspection positions on the finishing mill according to the bearing installation position and the gear meshing position; and comparing the parameter data of the normal running state of the finishing mill with the data of the three major fault states according to the data measured by the three points to perform quantitative analysis and real-time monitoring. The invention has the beneficial effects that: the method can be used for judging possible equipment faults in advance and formulating a maintenance scheme in advance, so that the equipment accidents are avoided, the stable operation of the finishing mill is reliably guaranteed, and the service life of the equipment is prolonged.
Description
Technical Field
The invention relates to an online diagnosis method for a finishing mill, and belongs to the technical field of point inspection of efficient finishing mills.
Background
The finishing mill as a key process of high-speed wire rod production can have bearing damage faults, lubrication failure faults, gear occlusion faults and other equipment faults which affect the stable operation of the finishing mill in the operation process, a standard point inspection method is not available in the prior art, different point inspection modes of the fault reasons of the finishing mill can be different, the common point inspection method is difficult to find complex problems, the problem that the fault is found in advance can not be avoided, and common technical personnel can not easily operate due to the fact that the fault diagnosis of the finishing mill needs to consider various operation parameters, so that the point inspection difficulty is increased, and manpower and material resources are wasted.
Disclosure of Invention
The invention aims to provide an online diagnosis method for a finishing mill, which judges the service condition of the finishing mill by determining monitoring points of the finishing mill and analyzing monitored data, can judge possible equipment faults in advance and formulate an overhaul scheme in advance, greatly facilitates the arrangement of overhaul work of the finishing mill, avoids equipment accidents, provides reliable guarantee for the stable operation of the finishing mill, saves manpower and material resources, reduces the spare part cost of the finishing mill, prolongs the service cycle of equipment and effectively solves the problems in the background technology.
The technical scheme of the invention is as follows: an on-line diagnosis method for a finishing mill comprises the following steps:
step 1, dividing online faults of a finishing mill into three types, wherein the first type is a bearing damage fault, the second type is a gear meshing fault, and the third type is a lubrication failure fault;
step 2, setting three point inspection positions on the finishing mill according to the bearing installation position and the gear meshing position;
step 3, comparing the parameter data of the normal running state of the finishing mill and the data of the three major fault states according to the data measured by the three points to carry out quantitative analysis;
and 4, monitoring the data of the three point inspection positions of the finishing mill in real time.
In the step 2, three point detection positions are arranged on the finishing mill, a point detection worker carries out data acquisition on the three point detection positions through a vibration meter and a temperature measuring gun, and the first point detection position is located at a Y bearing installation position of the finishing mill and used for monitoring axial vibration data of a Y bearing; the second point inspection position is located at a G bearing mounting position of the finishing mill and used for monitoring radial vibration data of the G bearing; the third point detection position is arranged at the mounting position of the roller box, and the position of the third point detection position is just in the middle position of meshing of the roller box and the bevel box gear, so that the vibration generated by meshing of the two gears can be accurately reflected, and the accuracy of vibration data acquisition is facilitated.
The parameter data of the finishing mill in the normal operation state comprise main incoming material temperature, lubricating oil pressure, lubricating cleanliness, a roll gap value and rolling force.
The lubrication failure faults comprise faults that water molecules in water or air in the finishing mill are mixed with lubricating oil to cause the water content of the lubricating oil to be too high, impurities in the water pollute the lubricating oil to cause failure of the lubricating oil, and the bearings of the finishing mill are burnt out and tooth beating and the like.
The bearing damage fault is that the bearing service condition is judged by comparing and quantitatively analyzing the data of the first point inspection position and the second point inspection position.
The gear meshing faults comprise fatigue cracks and fractures of gear roots caused by the fact that the rolling force of the finishing mill exceeds the maximum load which can be borne by the gear when the actual roll gap value of the finishing mill is too low, and the faults to be generated can be predicted in advance through the change of the third point inspection position on vibration data in the development process.
The invention has the beneficial effects that: the service condition of the finishing mill is judged by determining the monitoring points of the finishing mill and analyzing the monitored data, the possible equipment faults can be judged in advance and the maintenance scheme can be made in advance, the maintenance work of the finishing mill is greatly facilitated, the equipment accidents are avoided, the stable operation of the finishing mill is reliably guaranteed, the manpower and material resources are saved, the spare part cost of the finishing mill is reduced, and the service life of the equipment is prolonged.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete description of the technical solutions in the embodiments of the present invention will be given below with reference to the embodiments, and it is obvious that the described embodiments are a small part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.
An on-line diagnosis method for a finishing mill comprises the following steps:
step 1, dividing online faults of a finishing mill into three types, wherein the first type is a bearing damage fault, the second type is a gear meshing fault, and the third type is a lubrication failure fault;
step 2, setting three point inspection positions on the finishing mill according to the bearing installation position and the gear meshing position;
step 3, comparing the parameter data of the normal running state of the finishing mill and the data of the three major fault states according to the data measured by the three points to carry out quantitative analysis;
and 4, monitoring the data of the three point inspection positions of the finishing mill in real time.
In the step 2, three point detection positions are arranged on the finishing mill, a point detection worker carries out data acquisition on the three point detection positions through a vibration meter and a temperature measuring gun, and the first point detection position is located at a Y bearing installation position of the finishing mill and used for monitoring axial vibration data of a Y bearing; the second point inspection position is located at a G bearing mounting position of the finishing mill and used for monitoring radial vibration data of the G bearing; the third point detection position is arranged at the mounting position of the roller box, and the position of the third point detection position is just in the middle position of meshing of the roller box and the bevel box gear, so that the vibration generated by meshing of the two gears can be accurately reflected, and the accuracy of vibration data acquisition is facilitated.
The parameter data of the finishing mill in the normal operation state comprise main incoming material temperature, lubricating oil pressure, lubricating cleanliness, a roll gap value and rolling force.
The lubrication failure faults comprise faults that water molecules in water or air in the finishing mill are mixed with lubricating oil to cause the water content of the lubricating oil to be too high, impurities in the water pollute the lubricating oil to cause failure of the lubricating oil, and the bearings of the finishing mill are burnt out and tooth beating and the like.
The bearing damage fault is that the bearing service condition is judged by comparing and quantitatively analyzing the data of the first point inspection position and the second point inspection position.
The gear meshing faults comprise fatigue cracks and fractures of gear roots caused by the fact that the rolling force of the finishing mill exceeds the maximum load which can be borne by the gear when the actual roll gap value of the finishing mill is too low, and the faults to be generated can be predicted in advance through the change of the third point inspection position on vibration data in the development process.
In practical application, the online faults of the finishing mill are divided into three major classes, namely a bearing damage fault, a gear meshing fault and a lubrication failure fault.
Three point inspection positions are arranged on the finishing mill and used for monitoring the vibration state of the bearing position and the gear meshing vibration state.
Three vibration and temperature point detection positions are arranged on the finishing mill, and point detection personnel can acquire data of the three points through a vibration meter and a temperature measuring gun. The first point detection position is located at a Y bearing mounting position of the finishing mill and used for monitoring axial vibration data of the Y bearing. The second point inspection position is located at the G bearing mounting position of the finishing mill and used for monitoring the radial vibration of the G bearing, the third point inspection position is arranged at the roller box mounting position, the position of the third point inspection position is just in the middle position of the meshing of the roller box and the bevel box gears, the vibration generated by the meshing of the two gears can be accurately reflected, and the accuracy of vibration data acquisition is facilitated.
And comparing the parameter data of the normal running state of the finishing mill with the data of the three major fault states according to the data measured at the three point inspection positions to carry out quantitative analysis.
The specific quantitative information comprises the rotating speed of the finishing mill, vibration data and temperature data measured by three point inspection positions, incoming material temperature, oil supply pressure, lubrication cleanliness, a roll gap value and rolling force.
In the quantitative information, when the finishing mill normally runs, the vibration values of the first and second point detection positions are 1.0-3.8 mm/s, the vibration value of the third point detection position is 1.0-4.0 mm/s, the incoming material temperature is 900-920 ℃, the oil supply temperature is 38-42 ℃, the oil supply pressure is 0.38-0.42 mpa, the cleanliness of lubricating oil reaches 7 grades, the roll gap value is set according to actual roll diameter parameters, and the rolling force is influenced by the incoming material temperature and the roll gap.
When the temperature of the incoming material in the equivalent information is lower than 900 ℃, the rolling force borne by the finishing mill exceeds the maximum load, and at the moment, the vibration value of the third point detection position is greatly increased, for example, the vibration value exceeds 2 times (8.0 mm/s) of the upper limit of the normal range value, and then gear meshing faults such as tooth surface abrasion, tooth beating and the like are about to occur.
The vibration values of the first and second point detection positions in the quantitative information normally operate within the range of 1.0-3.8 mm/s, wherein if the vibration value suddenly rises to exceed the upper limit of 3.8mm/s at a certain time point and is accompanied by humming sound, the problem of dynamic balance unbalance caused by loosening or breakage of the protective cap of the roller at the moment is solved, and if the vibration value exceeds the upper limit of 3.8mm/s for 24 hours, the problem that the Y bearing or the G bearing at the point detection position has faults is indicated.
In quantitative information, the oil supply temperature in normal operation is 38-42 ℃, the oil supply pressure is 0.38-0.42 mpa, the cleanliness of lubricating oil reaches 7 grades, the higher the oil supply temperature is, the lower the oil supply pressure is, if the oil supply temperature exceeds 42 ℃, the oil supply pressure is lower than 0.38mpa, the sealing effect of the lubricating oil is reduced, the oil pressure provided by the lubricating oil is insufficient to ensure that the contact surface of a finishing mill cannot flow into external impurities, the cleanliness of the lubricating oil is difficult to maintain, in addition, the excessive oil supply temperature can cause the combination of water molecules in the air and the lubricating oil to cause the water molecules in the lubricating oil to corrode bearings and gears, and the above is the failure fault of the lubricating oil.
And monitoring the running state of the finishing mill in real time, generating a parameter curve, and comparing the real-time data with the quantized data.
And (5) finding a fault symptom according to a curve change rule, and judging factors causing the fault.
Claims (4)
1. An on-line diagnosis method for a finishing mill is characterized by comprising the following steps:
step 1, dividing online faults of a finishing mill into three types, wherein the first type is a bearing damage fault, the second type is a gear meshing fault, and the third type is a lubrication failure fault;
step 2, setting three point inspection positions on the finishing mill according to the bearing installation position and the gear meshing position;
step 3, comparing the parameter data of the normal running state of the finishing mill and the data of the three major fault states according to the data measured by the three points to carry out quantitative analysis;
step 4, monitoring the data of the three point inspection positions of the finishing mill in real time;
in the step 2, three point detection positions are arranged on the finishing mill, a point detection worker carries out data acquisition on the three point detection positions through a vibration meter and a temperature measuring gun, and the first point detection position is located at a Y bearing installation position of the finishing mill and used for monitoring axial vibration data of a Y bearing; the second point inspection position is located at a G bearing mounting position of the finishing mill and used for monitoring radial vibration data of the G bearing; the third point detection position is arranged at the installation position of the roller box, and the position of the third point detection position is just in the middle position of meshing of the roller box and the bevel box gear, so that the vibration generated by meshing of the two gears can be accurately reflected, and the accuracy of vibration data acquisition is facilitated;
the gear meshing faults comprise fatigue cracks and fractures of gear roots caused by the fact that the rolling force of the finishing mill exceeds the maximum load which can be borne by the gear when the actual roll gap value of the finishing mill is too low, and the faults to be generated can be predicted in advance through the change of the third point inspection position on vibration data in the development process.
2. The finishing mill online diagnosis method according to claim 1, characterized in that: the parameter data of the finishing mill in the normal operation state comprise main incoming material temperature, lubricating oil pressure, lubricating cleanliness, a roll gap value and rolling force.
3. The finishing mill online diagnosis method according to claim 1, characterized in that: the lubrication failure faults comprise that the water content of lubricating oil caused by water molecules mixed with the lubricating oil in water or air in the finishing mill is too high, impurities in the water pollute the lubricating oil to cause failure of the lubricating oil, and the bearing of the finishing mill is burnt out and tooth beating faults are caused.
4. The finishing mill online diagnosis method according to claim 1, characterized in that: the bearing damage fault is that the bearing service condition is judged by comparing and quantitatively analyzing the data of the first point inspection position and the second point inspection position.
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| CN202010442815.0A CN111530943B (en) | 2020-05-22 | 2020-05-22 | On-line diagnosis method for finishing mill |
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Citations (7)
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| JPH09323109A (en) * | 1996-06-05 | 1997-12-16 | Hitachi Ltd | Device for deciding and controlling abnormality in rolling mill and method thereof |
| WO1998054473A1 (en) * | 1997-05-31 | 1998-12-03 | Rebs Zentralschmiertechnik Gmbh | Device for distributing a lubricant-air mixture through different lubricating ducts in a machine housing |
| CN101464211A (en) * | 2007-12-18 | 2009-06-24 | 上海宝钢工业检测公司 | Method for monitoring low-speed heavy duty device status by vibration |
| CN202933948U (en) * | 2012-12-06 | 2013-05-15 | 哈尔滨哈飞工业有限责任公司 | High-speed wire mill gear case fault detection device |
| CN104275351A (en) * | 2013-07-10 | 2015-01-14 | 上海宝钢工业技术服务有限公司 | Vibration-state on-line monitoring method of high-speed wire rod finishing block |
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2020
- 2020-05-22 CN CN202010442815.0A patent/CN111530943B/en active Active
Patent Citations (7)
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| JPH09323109A (en) * | 1996-06-05 | 1997-12-16 | Hitachi Ltd | Device for deciding and controlling abnormality in rolling mill and method thereof |
| WO1998054473A1 (en) * | 1997-05-31 | 1998-12-03 | Rebs Zentralschmiertechnik Gmbh | Device for distributing a lubricant-air mixture through different lubricating ducts in a machine housing |
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| CN202933948U (en) * | 2012-12-06 | 2013-05-15 | 哈尔滨哈飞工业有限责任公司 | High-speed wire mill gear case fault detection device |
| CN104275351A (en) * | 2013-07-10 | 2015-01-14 | 上海宝钢工业技术服务有限公司 | Vibration-state on-line monitoring method of high-speed wire rod finishing block |
| CN108982135A (en) * | 2017-06-02 | 2018-12-11 | 上海金艺检测技术有限公司 | The on-line monitoring method of hot-rolled edger mill operating status |
| CN108994090A (en) * | 2018-07-06 | 2018-12-14 | 南京钢铁股份有限公司 | A kind of diagnostic method of down-pressing system of rolling mill failure |
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