CN105928694A - Moving sieve fault diagnosis method based on Weibull analysis model - Google Patents
Moving sieve fault diagnosis method based on Weibull analysis model Download PDFInfo
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- CN105928694A CN105928694A CN201610273029.6A CN201610273029A CN105928694A CN 105928694 A CN105928694 A CN 105928694A CN 201610273029 A CN201610273029 A CN 201610273029A CN 105928694 A CN105928694 A CN 105928694A
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- coal cinder
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Abstract
The invention discloses a moving sieve fault diagnosis method based on a Weibull analysis model. The method is characterized by collecting impact force of coal falling off from a moving sieve plate on a buffer board through an impact force sensor, and calculating proportion range of the coal falling off from the moving sieve plate in the total amount of a sample when the moving sieve plate is normal, that is, coal size distribution range; and analyzing the coal falling process in the time period t, and according to the total impact force P collected by the impact force sensor, calculating the proportion of the total quantity of the coal falling off from the moving sieve plate within the time period t in the total quantity of the sample, and making a comparison between the proportion and the proportion range obtained when the moving sieve plate is normal to measure the total quantity of the falling-off coal and realize moving sieve fault diagnosis. The method can realize moving sieve fault diagnosis only through the impact force of the coal on the buffer board, can roughly measure damage degree of the moving sieve plate, is simple to realize and high in precision, does not depend on application scenarios and improves economic benefit and intelligent supervision level of a coal preparation plant.
Description
Technical field
The present invention relates to dynamic sieve method for diagnosing faults field, a kind of based on Weibull analysis model dynamic
Sieve method for diagnosing faults.
Background technology
Dong Shaishi coal preparation plant separates the visual plant of coal cinder granularity.Owing to coal separation is a continuous print line production
Process, equipment room coupling is relatively big, and equipment has strict requirements to pan feeding parameter, once goes wrong,
By causing, machine follow-up in production procedure is impaired, results even in stopping production, therefore dynamic sieve fault prison time serious
Survey problem becomes one of important topic, dynamic sieve carries out fault diagnosis fast, accurately and is related to the effect of coal separation
Rate and safety, and simplify, promptness, degree of accuracy are to sieve the important indicator that diagnostic method is good and bad.
Fault diagnosis be monitoring object when breaking down can according to the state of current device and mechanism, around other
The phenomenon of relatedness things, the feature etc. of fault are analyzed location of fault, degree and reason, and are sent police
Accuse or other promptings, and then directive function is played in whole production work.Fault diagnosis seems outstanding within coal mines
For important, not only it be related to the operation in whole colliery, also miner's lives and properties produced tremendous influence.
Monitoring method for dynamic sieve mainly has at present: manual inspection, video surveillance, equipment feature analysis, but
Video surveillance, equipment feature analysis due to environmental factors (coal dust, dust), working condition (noise) etc.,
Being substantially at conceptual phase at present, the widely used human at periodic intervals of being checks.
(1) manual inspection
Sieve plate, according to the experience cycle of damages of screen deck, is checked or changes by coal preparation plant workman in advance, the party
Though method
The simplest, but waste time and energy, it is impossible to accomplish that fault is monitored in real time.Patrol additionally, this method height relies on
The experience of inspection workman, the foundation changed as part of appliance using it is the most unreliable, may waste sieve in a large number
Plate.
(2) video surveillance
The method of video surveillance is at the sieve plate dust-proof video camera of high definition installed above, by monitor video image
Processing, whether slot size damages, whether sieve plate ruptures in diagnosis.But practical situation sieve plate, coal cinder are regarding
Gray value in Pin is more or less the same, even with means such as additional light source, can not accurately to slot size,
The faults such as sieve plate fracture are monitored.
(3) feature analysis
Feature vector method is installation vibrating sensor on sieve plate, extracts the time domain of sieve plate, frequency domain, earthquake intensity etc.
Feature, by sorting techniques such as BP neutral net, Bayesian Estimation, by normal for sieve plate and improper time spy
Levy classification out, in order to determine whether current sieve plate is in the fault such as fracture, sieve aperture damage.The method can
Realizing fault diagnosis to a certain extent, it is contemplated that the accuracy of method and stability, the method is not
It is suitable for the production environment of coal preparation plant.
Although above method all carries out fault diagnosis with sieve plate for object, but they process in actual applications
Cycle length, affected by environment compared with big, complexity is high, is not suitable for the specific environment that coal preparation plant produces.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of dynamic sieve fault diagnosis analyzing model based on Weibull
Method, solution is moved long processing period in the deficiency and actual coal separation production that in sieve monitoring, each method shows, is subject to
The problems such as environmental effect is relatively big, complexity is high.
The technical scheme is that
A kind of dynamic sieve method for diagnosing faults analyzing model based on Weibull, this dynamic sieve method for diagnosing faults, passes through
Shock sensors gathers the coal cinder of the driven sieve plate whereabouts impact dynamics to buffer board, calculates and is just setting out sieve plate
Account for the specific gravity range of sample total amount, i.e. coal cinder particle size distribution through the coal cinder amount moving sieve plate time often;Time
Between analyze the process that coal cinder falls in section t, total impulsive force P gathered according to shock sensors, when calculating
Between in section t the total amount of dynamic sieve plate whereabouts coal cinder account for the proportion of sample total amount normal with dynamic sieve plate time specific gravity range enter
Row contrast, thus measure whereabouts coal cinder total amount to dynamic sieve diagnosing malfunction:
Assuming that circular hole moves the aperture of sieve plate is d, and the parameter of coal crusher cutting method is designated as λ, according to dynamic sieve plate
The shock sensors number arranged is n, in time period t, and the impulsive force accumulation of i-th sensor acquisition
Amount is fi, total impulsive force of all shock sensors collections is P, in the case of not having specified otherwise, above
Symbolic unit all uses international basic unit:
Specifically comprising the following steps that of dynamic sieve method for diagnosing faults
(1), n shock sensors is installed on buffer board, measures when coal cinder falls and buffer board is rushed
Hit dynamics;Set impulsive force lower limit as a;Record dynamic hole diameter of sieve (perforated) plate size d and parameter ξ of Rock and coal cutting method;
Impact dynamics is periodically detected;
(2), coal cinder particle size distribution is calculated
First, calculate, according to Weibull distribution model, the coal cinder particle size distribution that current dynamic sieve plate falls, see formula
(1):
W=1-exp (-ξ db) (1),
In above formula, b is breakage properties index, takes 0.4 1.3;Coal cinder particle size distribution W is also through diameter d
The coal cinder amount of dynamic sieve plate accounting in sample total amount, is shown in formula (2):
In time period t, the summation of n shock sensors is:
Clash into the data analysis of buffer board according to coal cinder, the impulsive force of buffer board is shown in formula (4) by coal cinder:
In above formula, λ is Lame constants, is 106N/m2, H is the height of coal cinder freely falling body, is dynamic sieve
The plate height away from buffer board, f is the coal cinder of the driven sieve plate whereabouts impulsive force to buffer board, and m is coal cinder quality;
The impulsive force that i-th shock sensors is measured is set to fi, corresponding coal cinder quality is mi, driven sieve
Plate always whereabouts coal cinder quality is MFall, i.e. formula (5):
Formula (6) can be obtained by formula (3), (4) and (5),
The Weibull distribution W that coal cinder particle size distribution meets is fixed value, if the coal cinder dropping to dynamic sieve plate is total every time
Mass MAlwaysConstant, the most driven sieve plate drops to coal cinder gross mass M on buffer boardFallConstant, but actual survey
During amount, the M recorded according to formula (6)FallIt is change, due to MAlwaysConstant, MFallChanging value
It is converted into Weibull distribution scope [WL,WH], i.e. MFallWhen taking minima, then obtain WL, MFallTake maximum
Time, then obtain WH;
(3), dynamic sieve fault diagnosis:
Under conditions of Rock and coal cutting method and parameter constant, obtain coal cinder particle size distribution according to formula (1) full
The value of the Weibull distribution W of foot is constant, but by formula (2), (6) calculated W value not at dynamic sieve plate
Coal cinder particle size distribution [W after Rock and coal cutting time losslessL,WHIn], then can determine that dynamic sieve plate breaks down.
In described step (3) during dynamic sieve fault diagnosis, MFallValue uses repetitive measurement to calculate multiple W value,
If multiple W values are not the most at coal cinder particle size distribution [WL,WHIn], then can determine that dynamic sieve plate breaks down.
The invention has the beneficial effects as follows:
Due to the fact that and have employed such scheme, the method only drops to buffering by the analysis driven sieve plate of coal cinder
The impulsive force of plate, is converted into coal cinder quality, uses coal cinder granularity to meet the theory of Weibull distribution model,
The failure condition of dynamic sieve plate is analyzed, it is possible to overcome existing method for diagnosing faults cycle length, by environment because of
The problems such as element impact is bigger, may be directly applied in the production of coal preparation plant.The abrasion change of existing sieve aperture is sifted out greatly when dynamic
Or during compass screen surface fracture, the impulsive force of buffer board can be changed by the coal cinder fallen from sieve plate.Normal coal cinder
Granularity less than sieve aperture, dynamic sieve does not has the granularity of coal cinder seriously beyond slot size when damaging, therefore to buffer board
Impulsive force different, the relation of impulsive force Yu quality can calculate from the gross mass of sieve plate whereabouts coal cinder the most not
Identical.It is dynamic with normal that dynamic sieve method for diagnosing faults based on coal cinder particle size distribution measures coal cinder particle size distribution exactly
The coal cinder particle size distribution of sieve plate contrasts, and gathers the coal cinder impulsive force indirect measuring to buffer board by the cycle
Go out coal cinder particle size distribution, and then to whether judging dynamic sieve fault.
Advantage: the present invention using coal cinder to the shock dynamics of buffer board as parameter, calculate coal cinder particle size distribution,
And then the failure condition of the dynamic sieve of diagnosis, it is possible to more accurately, quickly, simply detect whether sieve plate occurs
Fault.Due to can be by monitoring impulsive force in real time, the present invention can real time on-line monitoring dynamic sieve fault
Situation, contributes to production and management personnel quickly carry out troubleshooting, reduces economic loss, and remembers for a long time
The failure condition of the dynamic sieve of record can judge dynamic sieve inaction interval accurately, and the maintenance for dynamic sieve provides support.
The present invention be a kind of efficiently, quick, simple, the dynamic sieve diagnostic method of low cost, automatic in intelligent mine
Change production field and there is good application prospect.
Accompanying drawing explanation
Fig. 1 is the coal cinder of the present invention driven sieve plate dropping process figure to buffer board.
Detailed description of the invention
A kind of dynamic sieve method for diagnosing faults analyzing model based on Weibull, it is characterised in that: this dynamic sieve fault is examined
Disconnected method, gathers the coal cinder of the driven sieve plate whereabouts impact dynamics to buffer board, meter by shock sensors
Calculate dynamic sieve plate normal time account for the specific gravity range of sample total amount through the coal cinder amount of dynamic sieve plate, i.e. coal cinder granularity is divided
Cloth scope;The process that coal cinder falls is analyzed, the total impact gathered according to shock sensors in time period t
Power P, calculating the total amount of dynamic sieve plate whereabouts coal cinder in time period t, to account for the proportion of sample total amount normal with dynamic sieve plate
Time specific gravity range contrast, thus measure whereabouts coal cinder total amount to dynamic sieve diagnosing malfunction:
Assuming that circular hole moves the aperture of sieve plate is d, and the parameter of coal crusher cutting method is designated as λ, according to dynamic sieve plate
The shock sensors number arranged is n, in time period t, and the impulsive force accumulation of i-th sensor acquisition
Amount is fi, total impulsive force of all shock sensors collections is P, in the case of not having specified otherwise, above
Symbolic unit all uses international basic unit:
Specifically comprising the following steps that of dynamic sieve method for diagnosing faults
(1), n shock sensors is installed on buffer board, measures when coal cinder falls and buffer board is rushed
Hit dynamics;Set impulsive force lower limit as a;Record dynamic hole diameter of sieve (perforated) plate size d and parameter ξ of Rock and coal cutting method;
Impact dynamics is periodically detected;
(3), coal cinder particle size distribution is calculated
First, calculate, according to Weibull distribution model, the coal cinder particle size distribution that current dynamic sieve plate falls, see formula
(1):
W=1-exp (-ξ db) (1),
In above formula, b is breakage properties index, takes 0.4 1.3;Coal cinder particle size distribution W is also through diameter d
The coal cinder amount of dynamic sieve plate accounting in sample total amount, is shown in formula (2):
In time period t, the summation of n shock sensors is:
Clash into the data analysis of buffer board according to coal cinder, the impulsive force of buffer board is shown in formula (4) by coal cinder:
In above formula, λ is Lame constants, is 106N/m2, H is the height of coal cinder freely falling body, is dynamic sieve
The plate height away from buffer board, f is the coal cinder of the driven sieve plate whereabouts impulsive force to buffer board, and m is coal cinder quality;
The impulsive force that i-th shock sensors is measured is set to fi, corresponding coal cinder quality is mi, driven sieve
Plate always whereabouts coal cinder quality is MFall, i.e. formula (5):
Formula (6) can be obtained by formula (3), (4) and (5),
The Weibull distribution W that coal cinder particle size distribution meets is fixed value, if the coal cinder dropping to dynamic sieve plate is total every time
Mass MAlwaysConstant, the most driven sieve plate drops to coal cinder gross mass M on buffer boardFallConstant, but actual survey
During amount, the M recorded according to formula (6)FallIt is change, due to MAlwaysConstant, MFallChanging value
It is converted into Weibull distribution scope [WL,WH], i.e. MFallWhen taking minima, then obtain WL, MFallTake maximum
Time, then obtain WH;
(3), dynamic sieve fault diagnosis:
Under conditions of Rock and coal cutting method and parameter constant, obtain what coal cinder particle size distribution met according to formula (1)
The value of Weibull distribution W is constant, but is calculated multiple W value by formula (2), (6) repetitive measurement, if many
The individual W value the most not coal cinder particle size distribution [W after Rock and coal cutting when dynamic sieve plate is losslessL,WHIn], then can determine that dynamic
Sieve plate breaks down.
Claims (2)
1. the dynamic sieve method for diagnosing faults analyzing model based on Weibull, it is characterised in that: this dynamic sieve event
Barrier diagnostic method, gathers the coal cinder of the driven sieve plate whereabouts impact dynamics to buffer board by shock sensors,
Calculate and set out to account for the specific gravity range of sample total amount, i.e. coal cinder granularity through the coal cinder amount of dynamic sieve plate when sieve plate is normal
Distribution;The process that coal cinder falls is analyzed, the total punching gathered according to shock sensors in time period t
Hitting power P, the total amount moving sieve plate whereabouts coal cinder in calculating time period t with dynamic sieve plate is just accounting for the proportion of sample total amount
Time often, specific gravity range contrasts, thus measures whereabouts coal cinder total amount to dynamic sieve diagnosing malfunction:
Assuming that circular hole moves the aperture of sieve plate is d, and the parameter of coal crusher cutting method is designated as λ, according to dynamic sieve plate
The shock sensors number arranged is n, in time period t, and the impulsive force accumulation of i-th sensor acquisition
Amount is fi, total impulsive force of all shock sensors collections is P, in the case of not having specified otherwise, above
Symbolic unit all uses international basic unit:
Specifically comprising the following steps that of dynamic sieve method for diagnosing faults
(1), n shock sensors is installed on buffer board, measures when coal cinder falls and buffer board is rushed
Hit dynamics;Set impulsive force lower limit as a;Record dynamic hole diameter of sieve (perforated) plate size d and parameter ξ of Rock and coal cutting method;
Impact dynamics is periodically detected;
(2), coal cinder particle size distribution is calculated
First, calculate, according to Weibull distribution model, the coal cinder particle size distribution that current dynamic sieve plate falls, see formula
(1):
W=1-exp (-ξ db) (1),
In above formula, b is breakage properties index, takes 0.4 1.3;Coal cinder particle size distribution W is also through diameter d
The coal cinder amount of dynamic sieve plate accounting in sample total amount, is shown in formula (2):
In time period t, the summation of n shock sensors is:
Clash into the data analysis of buffer board according to coal cinder, the impulsive force of buffer board is shown in formula (4) by coal cinder:
In above formula, λ is Lame constants, is 106N/m2, H is the height of coal cinder freely falling body, is dynamic sieve
The plate height away from buffer board, f is the coal cinder of the driven sieve plate whereabouts impulsive force to buffer board, and m is coal cinder quality;
The impulsive force that i-th shock sensors is measured is set to fi, corresponding coal cinder quality is mi, driven sieve
Plate always whereabouts coal cinder quality is MFall, i.e. formula (5):
Formula (6) can be obtained by formula (3), (4) and (5),
The Weibull distribution W that coal cinder particle size distribution meets is fixed value, if the coal cinder dropping to dynamic sieve plate is total every time
Mass MAlwaysConstant, the most driven sieve plate drops to coal cinder gross mass M on buffer boardFallConstant, but actual survey
During amount, the M recorded according to formula (6)FallIt is change, due to MAlwaysConstant, MFallChanging value
It is converted into Weibull distribution scope [WL,WH], i.e. MFallWhen taking minima, then obtain WL, MFallTake maximum
Time, then obtain WH;
(3), dynamic sieve fault diagnosis:
Under conditions of Rock and coal cutting method and parameter constant, obtain coal cinder particle size distribution according to formula (1) full
The value of the Weibull distribution W of foot is constant, but by formula (2), (6) calculated W value not at dynamic sieve plate
Coal cinder particle size distribution [W after Rock and coal cutting time losslessL,WHIn], then can determine that dynamic sieve plate breaks down.
A kind of dynamic sieve method for diagnosing faults analyzing model based on Weibull the most according to claim 1,
It is characterized in that: in described step (3) during dynamic sieve fault diagnosis, MFallValue uses repetitive measurement to calculate
Multiple W values, if multiple W value is not the most at coal cinder particle size distribution [WL,WHIn], then can determine that dynamic sieve plate occurs
Fault.
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Cited By (1)
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CN112906787A (en) * | 2021-02-10 | 2021-06-04 | 宁波诺丁汉新材料研究院有限公司 | Industrial boiler fault identification method and system |
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2016
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CN201464026U (en) * | 2009-08-11 | 2010-05-12 | 中国神华能源股份有限公司 | Vibration detection device for vibrating screens |
CN201616026U (en) * | 2010-03-12 | 2010-10-27 | 西安锦程振动科技有限责任公司 | Monitoring and maintaining system for vibrating screen |
CN103234742A (en) * | 2013-04-18 | 2013-08-07 | 中国矿业大学 | Fault diagnosis method for damping springs of vibrating screen |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112906787A (en) * | 2021-02-10 | 2021-06-04 | 宁波诺丁汉新材料研究院有限公司 | Industrial boiler fault identification method and system |
CN112906787B (en) * | 2021-02-10 | 2023-09-15 | 宁波诺丁汉新材料研究院有限公司 | Industrial boiler fault identification method and system |
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Application publication date: 20160907 |