CN101850368A - Strip break on-line detection method of acid pickling-rolling mill integral unit - Google Patents

Strip break on-line detection method of acid pickling-rolling mill integral unit Download PDF

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CN101850368A
CN101850368A CN200910048596A CN200910048596A CN101850368A CN 101850368 A CN101850368 A CN 101850368A CN 200910048596 A CN200910048596 A CN 200910048596A CN 200910048596 A CN200910048596 A CN 200910048596A CN 101850368 A CN101850368 A CN 101850368A
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monitoring
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CN101850368B (en
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蔡正国
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Baowu Equipment Intelligent Technology Co Ltd
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Shanghai Baosteel Industry Inspection Corp
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Abstract

The invention relates to an acid pickling-rolling mill integral unit, in particular to an on-line detection method of the acid pickling-rolling mill integral unit. The method comprises the following steps: performing welding seam tracking, monitoring and warning, outputting the related signals, performing loop monitoring and warning, outputting the related signals, performing straightening and withdrawal machine monitoring and warning, outputting the related signals, performing rolling mill monitoring and warning, and outputting the related signals to realize strip break positioning. The invention establishes a method for collecting the strip break monitoring signals of the acid pickling-rolling mill integral so as to perform effective monitoring aiming at the reason of strip break and realize the strip break online monitoring, warning and positioning of the acid pickling-rolling mill integral unit.

Description

Strip break on-line detection method of acid pickling-rolling mill integral unit
Technical field
The present invention relates to Cold Tandem Rolling Mills, particularly a kind of online test method of acid pickling-rolling mill associating unit.
Background technology
At the beginning of 1980, after Japan Nippon Steel company successfully is unified into a unit with pickling unit and tandem mills and reaches continuous production, because this advantage that has not only kept full continuous-rolling of both having set, and the overlapping investment of saving uncoiler, crimping machine, technical development to some extent, tens of associating units have been built up in the whole world, and growth momentum is quite swift and violent.According to one's analysis, behind the employing associating unit, pickling power improves 10%, and cold rolling ability improves 40%.
But owing to adopt the associating unit, equipment is numerous, coordinates the single unit of control ratio and seems difficult, breaks down easily.According to incompletely statistics, unite in the unit fault over the years at the pickling cold continuous rolling, the fault relevant with broken belt accounts for more than 40% of total failare time, causes as broken belt accident of certain production line and shuts down about 20 hours of other twice accidental shutdown 60 hours; The production line broken belt number of times that has is average annual more than 10 times.As the original state Japan of this technology, the annual broken belt number of times of similar production line also has 2-3 time, therefore, realizes the on-line monitoring of pickling cold continuous rolling associating unit broken belt quite necessary.
Realize that on-line monitoring has relatively high expectations to the Device Diagnostic personnel, the broken belt monitoring there is no configuration and reports to the police, and has only scattered technology amount information, analyzes the broken belt reason and needs many-sided professional knowledge.
Summary of the invention
The objective of the invention is to overcome the defective of prior art, a kind of strip break on-line detection method of acid pickling-rolling mill integral unit is provided.The present invention has set up pickling and cold-rolling associating unit broken belt monitor signal acquisition method, implements effectively monitoring at the reason that produces broken belt, realizes the on-line monitoring of sour milling train group broken belt.
To achieve these goals, the present invention has adopted following technical scheme:
A kind of strip break on-line detection method of acid pickling-rolling mill integral unit, it comprises: weld joint tracking monitoring, alarming and output, kink monitoring, alarming and output, the warning of straightening machine testing and output, milling train monitoring, alarming and output, thus realize the broken belt location.
Described strip break on-line detection method of acid pickling-rolling mill integral unit, described weld joint tracking monitoring, alarming and output comprise:
Gather WPD2-WPD6 position corresponding parameters; And,
Judge dolly rollover forecast of kink door position realization kink and output according to kink door location parameter;
Judge band steel centering realization centering fault alarm and output according to the CPC deviation correcting signal;
Judge that according to strip tension the band steel loses Zhang Shixian warning and output;
Judge according to the roll-force deviation, realize roll-force matching status fault alarm and output;
Deviation according to roll gap actual value and setting value realizes roll gap meter fault alarm and output.
Described strip break on-line detection method of acid pickling-rolling mill integral unit, described kink monitoring, alarming and output comprise:
Gather swing door position signal, band steel centering CPC signal and process section inlet tension signal; And,
Judge dolly rollover forecast of kink door position realization kink and output according to kink door location parameter;
Judge band steel centering realization centering fault alarm and output according to the CPC deviation correcting signal;
Judge that according to strip tension the band steel loses Zhang Shixian warning and output.
Described strip break on-line detection method of acid pickling-rolling mill integral unit, described straightening machine testing is reported to the police and output comprises:
Gather straightening machine tension signal and straightening machine distributor box output shaft bearing vibration signal; And,
Realize straightening machine bearing fault pre-alarming and output according to the mechanical quantity feature of extracting;
Judge dolly rollover forecast of kink door position realization kink and output according to kink door location parameter;
Judge band steel centering realization centering fault alarm and output according to the CPC deviation correcting signal;
Judge that according to strip tension the band steel loses Zhang Shixian warning and output;
Judge according to the roll-force deviation, realize roll-force matching status fault alarm and output.
Described strip break on-line detection method of acid pickling-rolling mill integral unit, described: milling train monitoring, alarming and output comprise:
Gather milling train tension signal and straightening machine distributor box output shaft bearing vibration signal; And,
Realize straightening machine bearing fault pre-alarming and output according to the mechanical quantity feature of extracting;
Judge band steel centering realization centering fault alarm and output according to the CPC deviation correcting signal;
Judge that according to strip tension the band steel loses Zhang Shixian warning and output;
Judge according to the roll-force deviation, realize roll-force matching status fault alarm and output;
Deviation according to roll gap actual value and setting value realizes roll gap meter fault alarm and output;
Realize that according to servo valve frequency response signal and synchronism signal servo valve is faded and fall and fault alarm and output.
Described strip break on-line detection method of acid pickling-rolling mill integral unit, described bearing vibration signal comprises:
Outer shroud damage characteristic frequency: f 0=nf r(1-d cos α/D)/2
f i=nf r(1+dcosα/D)/2
Interior ring damage characteristic frequency:
Rolling element damage characteristic frequency: f p=f r(D/d) 1-[d (cos α)/D] 2}/2
Retainer fault characteristic frequency: f h={ f i[1-d (cos α)/D] ± f o[1+d (cos α)/D] }/2
In the formula:
N-rolling element number, f r-inner and outer ring relative rotation speed frequency, d-rolling element diameter, D-pitch diameter, α-contact angle, f p, f hBe respectively bearing roller and retainer frequency; f i, f oBe respectively the inside and outside circle speed-frequency of bearing, the consistent positive sign of getting of the two direction, direction is then got negative sign on the contrary.
Described strip break on-line detection method of acid pickling-rolling mill integral unit, the signal extraction and the fault monitoring of described rolling bearing comprise:
The frequency band of choosing bearing characteristic frequency annex carries out computing as monitoring target with the vibration peak at characteristic frequency place and the frequency spectrum weighted value in the selected frequency band, sets the bearing fault factor B k
B k=(A fk+1/A fk+U fk+1/U fk)/4
Wherein, A Fk, U FkBe respectively bearing characteristic frequency f i, f o, f p, f hVibration peak weighted average in place's vibration amplitude and the selected frequency band, i.e. A FkBe A Fi, A Fo, A Fp, A FhThe vibration amplitude of representing bearing inner race, outer ring, rolling element and retainer characteristic frequency place respectively, U FkBe U Fi, U Fo, U Fp, UfhRepresent that respectively bearing inner race, outer ring, rolling element and retainer characteristic frequency place set the mean value of the vibration values of (for example being the center with the characteristic frequency, each scope of 10% of both sides) in the frequency range.
B i, B o, B p, B hThe fault factor of representing bearing inner race, outer ring, rolling element and retainer respectively.
Set B i, B o, B p, B hThe threshold value B of the correspondence of reporting to the police T1, B T2, B T3, B T4), monitor the B at each characteristic frequency place 1=B i, B 2=B o, B 3=B p, B 4=B HBe B 1Be bearing inner race fault factor monitor value, B 2Be outer ring fault factor monitor value, B 3Be rolling element fault factor monitor value, B 4Be retainer fault factor monitor value.
Work as B 1>B T1The time, forecast bearing inner race fault;
B 2>B T2The time, forecast bearing inner race fault;
B 3>B T3The time, forecast bearing inner race fault;
B 4>B T4The time, forecast bearing inner race fault;
Other situation lower bearing state is normal.
The present invention proposes the model of the sour milling train group broken belt fault of monitoring, butt welded seam, kink, straightening machine and rolling-mill housing implementing process parameter and mechanical oscillation monitoring, the online forecasting and the condition managing of realization unit broken belt index.
Description of drawings
Fig. 1 is the model schematic diagram of the inventive method.
The specific embodiment
As shown in Figure 1, the present invention is directed to the process characteristic and the fault record of pickling and cold-rolling associating unit, the on-line monitoring scheme of pickling and cold-rolling associating unit broken belt is carried out from the following aspects emphatically:
(1) weld joint tracking monitoring
Acid milling train group is provided with 6 weld joint tracking point WPD1-WPD6 altogether, when weldering is met by each position, need press technological requirement adjusting process parameter according to supplied materials and rolling specs, the weld seam detection instrument is used for the correction to the position tracking of band steel, when receiving the weld seam signal at every turn, the band steel is followed the tracks of software just once with the synchronous correction of steel length, so that the accurate position while welding of track band steel.
(2) loop strip break monitoring
The effect of kink is to change in order to adapt to normal rhythm of production that to keep the pickling speed of band steel in acid tank constant, (middle kink) and milling train inlet (outlet kink) are provided with looper between welding machine and straightening machine (entry loop), acid tank and garden dish are cut, and are used for the file steel.Because of the kink dolly is in the dynamic fit with numerous swing doors all the time, and the bad band steel of plate shape also has a kind of action usefulness of scratching to the carrying roller of swing door, causes swinging the skew of the tight position of door lock, and the kink dolly is easy to and swings door knob and hit, and causes production accident.Kink tension force is unbalance in addition also may cause broken belt.
In the broken belt accident that once took place, the shutdown about a time 60 hours is exactly because due to the bad kink dolly that causes of kink swing door open mode tumbles.Therefore when the online design monitoring system, the monitoring head of kink swing door ought be wherein.
Mainly implement on-line monitoring from the following aspects:
A. kink is swung door position signal
The kink swing door of the continuous unit of function of swing door is mainly used in and supports the band steel that is in the cover process, according to technological requirement, swing door has out in working order and closes two positions, closed condition is used for the support belt steel, open mode is used for the kink dolly to be passed through smoothly, wants in two positions of Kai Heguan and can reliably locate.At work, there is a kind of interaction relation in the swing door with the kink dolly, and the kink dolly comes, and swing Men Yaoneng in time opens; The kink dolly is walked, and swing Men Yaoneng in time closes in order to the support belt steel etc.
The signal of monitoring swing door open and-shut mode opens and closes success or not in order to monitoring swing door.
B. be with steel centering CPC monitoring
No. 1 CPC (double-roll type) is positioned at the entry loop inlet; No. 2 CPC (mono-roller type) are positioned in the middle of the entry loop; No. 3 CPC (mono-roller type) are positioned at the entry loop outlet; the control purpose of band steel centering CPC device is to guarantee that the band steel is on the unit center line all the time in that each section of unit line is in service; the band steel that makes high-speed cruising is sideslip not, unlikelyly causes broken belt and shuts down.
C. process section tension force and CPC signal
The tension force that the process section inlet measures is used for controlling the tension force of band steel at acid tank, makes the band steel keep constant tension in acid tank, improves pickling efficient, avoids damaging the equipment of acid tank bottom, and helps being with the control of steel centering.Monitor the correction position signalling of No. 4 CPC, No. 5 CPC, No. 6 CPC and No. 7 CPC respectively.
Kink inlet in the middle of No. 4 CPC (double-roll type) are positioned at; kink outlet in the middle of No. 5 (mono-roller type) is positioned at; No. 6 CPC (three-roller type) are positioned at the circle shear inlet; the outlet of No. 7 CPC (double-roll type) outlet kink; the control purpose of band steel centering CPC device is to guarantee to be with steel to be in operation to be in all the time on the unit center line; the band steel that makes high-speed cruising is sideslip not, unlikelyly causes broken belt and shuts down.
(3) pickling drawing-correcting machine broken belt monitoring
The tension force that measures on the straightening machine is used for the tension force control of straightening machine, makes the straightening machine be in the tension stability state of a control under a certain band steel specification, prevents broken belt.
(4) milling train broken belt monitoring
Tension force, roll-force and gap values between rollers etc. between the vibration of the main monitoring of milling train broken belt monitoring milling train rotary part, servo valve electric current, milling train.
A. mechanical quantity monitoring
Cause the mechanical quantity factor of broken belt to have: bearing failure, AGC oil cylinder, servo valves etc. such as pickling drawing-correcting machine output shaft, milling train distributor box output shaft, working roll and backing roll.
Mainly monitor its vibration performance frequency and vibration amplitude for the inefficacy of rolling bearing, vibrating sensor is set carries out on-line monitoring.
Impact is usually arranged when rolling bearing fault shows abnormal vibrations, and impact speed and quilt decrease parts relation:
Outer shroud damage characteristic frequency: f 0=nf r(1-dcos α/D)/2 (1)
f i=nf r(1+dcosα/D)/2
Interior ring damage characteristic frequency: (2)
Rolling element damage characteristic frequency: f p=f r(D/d) 1-[d (cos α)/D] 2}/2 (3)
Retainer fault characteristic frequency: f h={ f i[1-d (cos α)/D] ± f o[1+d (cos α)/D] }/2 (4)
In the formula:
N-rolling element number, f r-inner and outer ring relative rotation speed frequency, d-rolling element diameter, D-pitch diameter, α-contact angle, f p, f hBe respectively bearing roller and retainer frequency; f i, f oBe respectively the inside and outside circle speed-frequency of bearing, the consistent positive sign of getting of the two direction, direction is then got negative sign on the contrary.
B. for the state of AGC oil cylinder and servo valve, on oil cylinder body and servo valve valve body, vibrating sensor is set, realizes on-line monitoring rolling-mill housing.
C. the tension force between rolling-mill housing
Tension force is totally 6 between frame: one is 1# frame inlet, and four respectively at 1#-2#, 2#-3#, and 3#-4#, between the 4#-5#, one is the outlet of 5# frame.
D. mill rolling force
F1, F2, F3, F4, F5 milling train transmission side DS and fore side OS roll-force deviation;
E. gap values between rollers
Collect the detected value that each frame is pushed to roll gap detector in the cylinder, F1-F5 amounts to 10.
F. milling train inlet CPC monitoring
No. 8 CPC (double-roll type) are positioned at the milling train inlet, and CPC guarantees that the band steel that enters milling train is on the center line, and this device has been elected the center governor additional member, can manually be with the levelling of steel centre bit.
The present invention
(1) the broken belt On-line Fault that has proposed pickling milling train associating operating states of the units is monitored solution, by setting up the model of broken belt monitoring, collect the mechanical quantity and the technology amount parameter of unit operation the broken belt characteristic parameter is carried out configuration, realize the on-line monitoring of sour milling train group broken belt fault;
(2) set up the signal configuration monitoring method of sour milling train group broken belt fault, be applied to on-line monitoring system.
This patent has designed a kind of on-line monitoring method of sour milling train group broken belt fault, realizes the broken belt diagnosis and the location of sour milling train group.
(a) signal extraction of rolling bearing and fault monitoring
The frequency band of choosing bearing characteristic frequency annex carries out computing as monitoring target with the vibration peak at characteristic frequency place and the frequency spectrum weighted value in the selected frequency band, sets bearing fault factor B k;
B k=(A fk+1/A fk+U fk+1/U fk)/4(5)
Wherein, A Fk, U FkBe respectively bearing characteristic frequency f i, f o, f p, f hVibration peak weighted average in place's vibration amplitude and the selected frequency band, promptly Afk is A Fi, A Fo, A Fp, A FhThe vibration amplitude of representing bearing inner race, outer ring, rolling element and retainer characteristic frequency place respectively, U FkBe U Fi, U Fo, U Fp, U FhRepresent that respectively bearing inner race, outer ring, rolling element and retainer characteristic frequency place set the mean value of the vibration values of (for example being the center with the characteristic frequency, each scope of 10% of both sides) in the frequency range.
B i, B o, B p, B hRepresent A respectively Fi, A Fo, A Fp, A FhThe fault factor of representing bearing inner race, outer ring, rolling element and retainer respectively.
Set B i, B o, B p, B hThe threshold value B of the correspondence of reporting to the police T1, B T2, B T3, B T4), monitor the B at each characteristic frequency place 1=B i, B 2=B o, B 3=B p, B 4=B HBe B 1Be bearing inner race fault factor monitor value, B 2Be outer ring fault factor monitor value, B 3Be rolling element fault factor monitor value, B 4Be retainer fault factor monitor value.
Work as B 1>B T1The time, forecast bearing inner race fault;
B 2>B T2The time, forecast bearing inner race fault;
B 3>B T3The time, forecast bearing inner race fault;
B 4>B T4The time, forecast bearing inner race fault;
Other situation lower bearing state is normal;
(b) kink swing door position monitoring
Judge the switching signal (comparing) of kink swing door position, when the actual monitoring signal is different with setting value, report to the police with setting value.
(c) CPC deviation correcting signal monitoring
Actual correction amount and threshold value compare, and when greater than threshold value, report to the police;
(d) tension monitoring
6 tension force of frame (1# frame inlet, 1#-2#, 2#-3#, 3#-4#, tension force, the outlet of 5# frame between the 4#-5#), kink tension force, straightening machine tension force etc. and tension force setting value relatively, go beyond the scope into tension force unbalance; When tension force was zero, the band steel loses to be opened, and the broken belt position is positioned.
(e) roll gap, roll-force and the monitoring of roll-force deviation
Roll gap, roll-force and roll-force deviation and setting value and alarming value are relatively judged display alarm information automatically.
(f) servo valve frequency response and synchronism monitoring
Monitoring servo valve current signal, the zero state that wafts of monitoring servo valve, relatively DS side and the frequency response speed of OS side servo valve and the synchronism of action.

Claims (7)

1. strip break on-line detection method of acid pickling-rolling mill integral unit, it is characterized in that, it comprises: weld joint tracking monitoring, alarming and output, and kink monitoring, alarming and output, the warning of straightening machine testing and output, milling train monitoring, alarming and output, thus realize the broken belt location.
2. according to the described strip break on-line detection method of acid pickling-rolling mill integral unit of claim 1, it is characterized in that: described weld joint tracking monitoring, alarming and output comprise:
Gather WPD2-WPD6 position corresponding parameters; And,
Judge dolly rollover forecast of kink door position realization kink and output according to kink door location parameter;
Judge band steel centering realization centering fault alarm and output according to the CPC deviation correcting signal;
Judge that according to strip tension the band steel loses Zhang Shixian warning and output;
Judge according to the roll-force deviation, realize roll-force matching status fault alarm and output;
Deviation according to roll gap actual value and setting value realizes roll gap meter fault alarm and output.
3. according to the described strip break on-line detection method of acid pickling-rolling mill integral unit of claim 1, it is characterized in that: described kink monitoring, alarming and output comprise:
Gather swing door position signal, band steel centering CPC signal and process section inlet tension signal; And,
Judge dolly rollover forecast of kink door position realization kink and output according to kink door location parameter;
Judge band steel centering realization centering fault alarm and output according to the CPC deviation correcting signal;
Judge that according to strip tension the band steel loses Zhang Shixian warning and output.
4. according to the described strip break on-line detection method of acid pickling-rolling mill integral unit of claim 1, it is characterized in that: described straightening machine testing is reported to the police and output comprises:
Gather straightening machine tension signal and straightening machine distributor box output shaft bearing vibration signal; And,
Realize straightening machine bearing fault pre-alarming and output according to the mechanical quantity feature of extracting;
Judge dolly rollover forecast of kink door position realization kink and output according to kink door location parameter;
Judge band steel centering realization centering fault alarm and output according to the CPC deviation correcting signal;
Judge that according to strip tension the band steel loses Zhang Shixian warning and output;
Judge according to the roll-force deviation, realize roll-force matching status fault alarm and output.
5. according to the described strip break on-line detection method of acid pickling-rolling mill integral unit of claim 1, it is characterized in that: described: milling train monitoring, alarming and output comprise:
Gather milling train tension signal and straightening machine distributor box output shaft bearing vibration signal; And,
Realize straightening machine bearing fault pre-alarming and output according to the mechanical quantity feature of extracting;
Judge band steel centering realization centering fault alarm and output according to the CPC deviation correcting signal;
Judge that according to strip tension the band steel loses Zhang Shixian warning and output;
Judge according to the roll-force deviation, realize roll-force matching status fault alarm and output;
Deviation according to roll gap actual value and setting value realizes roll gap meter fault alarm and output;
Realize that according to servo valve frequency response signal and synchronism signal servo valve is faded and fall and fault alarm and output.
6. according to claim 4 or 5 described strip break on-line detection method of acid pickling-rolling mill integral unit, it is characterized in that: described bearing vibration signal comprises:
Outer shroud damage characteristic frequency: f 0=nf r(1-dcos α/D)/2
f i=nf r(1+dcosα/D)/2
Interior ring damage characteristic frequency:
Rolling element damage characteristic frequency: f p=f r(D/d) 1-[d (cos α)/D] 2}/2
Retainer fault characteristic frequency: f h={ f i[1-d (cos α)/D] ± f o[1+d (cos α)/D] }/2
In the formula:
N-rolling element number, f r-inner and outer ring relative rotation speed frequency, d-rolling element diameter, D-pitch diameter, α-contact angle, f p, f hBe respectively bearing roller and retainer frequency; f i, f oBe respectively the inside and outside circle speed-frequency of bearing, the consistent positive sign of getting of the two direction, direction is then got negative sign on the contrary.
7. strip break on-line detection method of acid pickling-rolling mill integral unit according to claim 6 is characterized in that: the signal extraction and the fault monitoring of described rolling bearing comprise:
The frequency band of choosing bearing characteristic frequency annex carries out computing as monitoring target with the vibration peak at characteristic frequency place and the frequency spectrum weighted value in the selected frequency band, sets the bearing fault factor B k
B k=(A fk+1/A fk+U fk+1/U fk)/4
Wherein, A Fk, U FkBe respectively bearing characteristic frequency f i, f o, f p, f hVibration peak weighted average in place's vibration amplitude and the selected frequency band, i.e. A FkBe A Fi, A Fo, A Fp, A FhThe vibration amplitude of representing bearing inner race, outer ring, rolling element and retainer characteristic frequency place respectively, U FkBe U Fi, U Fo, U Fp, U FhRepresent that respectively bearing inner race, outer ring, rolling element and retainer characteristic frequency place set the mean value of the vibration values of (for example being the center with the characteristic frequency, each scope of 10% of both sides) in the frequency range.
B i, B o, B p, B hThe fault factor of representing bearing inner race, outer ring, rolling element and retainer respectively.
Set B i, B o, B p, B hThe threshold value B of the correspondence of reporting to the police T1, B T2, B T3, B T4), monitor the B at each characteristic frequency place 1=B i, B 2=B o, B 3=B p, B 4=B HBe B 1Be bearing inner race fault factor monitor value, B 2Be outer ring fault factor monitor value, B 3Be rolling element fault factor monitor value, B 4Be retainer fault factor monitor value.
Work as B 1>B T1The time, forecast bearing inner race fault;
B 2>B T2The time, forecast bearing inner race fault;
B 3>B T3The time, forecast bearing inner race fault;
B 4>B T4The time, forecast bearing inner race fault;
Other situation lower bearing state is normal.
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CN108639823A (en) * 2018-05-21 2018-10-12 武汉科技大学 It is a kind of can with strip width automatically adjust automatic deviation rectifying device and its control method
CN109909306A (en) * 2019-03-11 2019-06-21 北京首钢自动化信息技术有限公司 A kind of monitoring method of acid rolling plant on-line monitoring and degradation trend intelligent early-warning
CN111346925A (en) * 2020-03-03 2020-06-30 首钢京唐钢铁联合有限责任公司 Method and system for preventing strip breakage and vehicle sliding of acid continuous rolling mill
CN111360077A (en) * 2020-03-03 2020-07-03 首钢京唐钢铁联合有限责任公司 Control method for preventing strip steel from throwing into acid tank
CN112222205A (en) * 2019-07-15 2021-01-15 宝山钢铁股份有限公司 High-response strip breakage detection and protection method and system for rolling mill
CN114247983A (en) * 2020-09-23 2022-03-29 宝山钢铁股份有限公司 Laser weld quality evaluation method for high-silicon steel hot rolled plate
CN114247760A (en) * 2020-09-23 2022-03-29 宝山钢铁股份有限公司 Comprehensive diagnosis method for brittle material cold rolling broken belt
CN114789200A (en) * 2021-10-14 2022-07-26 天津市新宇彩板有限公司 Method and system for self-diagnosing and recording faults of cold rolling unit

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6496120B1 (en) * 1998-11-05 2002-12-17 Steel Authority Of India Limited System for on line continuous skidding detection in rolling mills

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6496120B1 (en) * 1998-11-05 2002-12-17 Steel Authority Of India Limited System for on line continuous skidding detection in rolling mills

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ANDREW ORME: "《不锈钢的轧制、退火、酸洗综合生产线》", 《钢铁》 *
FRANZ PEMPERA等: "《AVESTA POLARIT厂的轧制、退火、酸洗生产线》", 《钢铁》 *
G KEINTZEL等: "《伯利恒钢铁公司酸洗冷轧联合机组的自动化***》", 《钢铁》 *

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CN108639823A (en) * 2018-05-21 2018-10-12 武汉科技大学 It is a kind of can with strip width automatically adjust automatic deviation rectifying device and its control method
CN109909306A (en) * 2019-03-11 2019-06-21 北京首钢自动化信息技术有限公司 A kind of monitoring method of acid rolling plant on-line monitoring and degradation trend intelligent early-warning
CN109909306B (en) * 2019-03-11 2020-08-21 北京首钢自动化信息技术有限公司 Monitoring method for on-line monitoring and intelligent degradation trend early warning of acid rolling equipment
CN112222205A (en) * 2019-07-15 2021-01-15 宝山钢铁股份有限公司 High-response strip breakage detection and protection method and system for rolling mill
CN111360077A (en) * 2020-03-03 2020-07-03 首钢京唐钢铁联合有限责任公司 Control method for preventing strip steel from throwing into acid tank
CN111346925A (en) * 2020-03-03 2020-06-30 首钢京唐钢铁联合有限责任公司 Method and system for preventing strip breakage and vehicle sliding of acid continuous rolling mill
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CN114247983A (en) * 2020-09-23 2022-03-29 宝山钢铁股份有限公司 Laser weld quality evaluation method for high-silicon steel hot rolled plate
CN114247760A (en) * 2020-09-23 2022-03-29 宝山钢铁股份有限公司 Comprehensive diagnosis method for brittle material cold rolling broken belt
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