CN102680228A - Method for detecting state of fan gear box - Google Patents
Method for detecting state of fan gear box Download PDFInfo
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- CN102680228A CN102680228A CN2011101403932A CN201110140393A CN102680228A CN 102680228 A CN102680228 A CN 102680228A CN 2011101403932 A CN2011101403932 A CN 2011101403932A CN 201110140393 A CN201110140393 A CN 201110140393A CN 102680228 A CN102680228 A CN 102680228A
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- gear case
- blower fan
- fan gear
- probability assignment
- elementary probability
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Abstract
The invention discloses a method for detecting a state of a fan gear box, which comprises the following steps of collecting vibration state of the fan gear box through multiple vibration sensors, and obtaining multiple basic probability assignments reflecting the state of the fan gear box; and merging the multiple basic probability assignments according to the data synchronization (DS) theory to obtain multiple merged results; and implementing the judgment according to the multiple merged results to obtain the state of the fan gear box.
Description
Technical field
The present invention relates to the wind-powered electricity generation field, in particular to a kind of method that detects blower fan gear case state.
Background technology
The gear case condition detecting system is a vital ring in the blower fan control system, and the gear case condition detecting system generally is made up of shock sensor, data acquisition module, communication module, data processing module etc.The gear case of each blower fan all is equipped with set of gears case condition detecting system.During the fan operation, the running status of the real-time detection of gear case of gear case condition detecting system, when gear case broke down, the gear case condition detecting system can promptly and accurately judge, thereby let blower fan make corresponding shutdown or other emergency measure.
The existing gear case condition detecting system of intelligence is the vibration information through each position of the real-time detection of gear case of shock sensor basically, through vibration information and historical data are contrasted the vibrating state that obtains this inspection area.
The DS evidence theory is at first to be proposed in 1967 by Dempster; A kind of inexact reasoning by his student shafer further developed in 1976 is theoretical; Be also referred to as Dempster/Shafer evidence theory (D-S evidence theory); Belong to the artificial intelligence category, be applied to the earliest in the expert system, have the ability of handling uncertain information.As a kind of uncertain reasoning method, the principal feature of evidence theory is: satisfy the condition more weak than the Bayesian probability opinion; Ability with direct expression " uncertain " and " not knowing ".
In many applications such as medical diagnosis, Target Recognition, military commandings; Need take all factors into consideration uncertain information from multi-source; Like the information of a plurality of sensors, multidigit expertise or the like; Accomplishing finding the solution of problem, and the union rule of evidence theory finding the solution in this respect brought into play vital role.
Yet, exist noise or failure cause to cause the false alarm phenomenon in the prior art owing to indivedual shock sensors.
Summary of the invention
The present invention provides a kind of method that detects blower fan gear case state, in order to the running status of accurate judgement blower fan gear case.
For achieving the above object; The invention provides a kind of method that detects blower fan gear case state; It may further comprise the steps: through a plurality of shock sensors the vibrating state of blower fan gear case is gathered, obtained reflecting a plurality of elementary probability assignment of blower fan gear case state; According to the DS theory a plurality of elementary probability assignment are merged, obtain a plurality of fusion results; Adjudicate according to a plurality of fusion results, obtain the state of blower fan gear case.
Preferable, through a plurality of shock sensors the vibrating state of blower fan gear case is gathered, obtain reflecting that a plurality of elementary probability assignment steps of blower fan gear case state comprise:
Through a plurality of shock sensors the vibrating state of blower fan gear case is gathered; Data of gathering and the historical data that is stored in the database are compared, and the possibility that the blower fan gear case is operated in malfunction, unfaulty conditions and nondeterministic statement is judged;
Obtain the elementary probability assignment that many group reflection blower fan gear casees operate in malfunction, unfaulty conditions and nondeterministic statement according to judged result; Wherein, the elementary probability assignment sum that malfunction, unfaulty conditions and nondeterministic statement are arranged that each shock sensor records equals 1.
Preferable, according to the DS theory a plurality of elementary probability assignment are merged, obtain a plurality of fusion results steps and comprise:
If total N of a plurality of shock sensors, first group of elementary probability assignment that first shock sensor is corresponding is (u
1, w
1, e
1), second second group of corresponding elementary probability assignment of shock sensor is (u
2, w
2, e
2), the 3rd the 3rd group of corresponding elementary probability assignment of shock sensor is (u
3, w
3, e
3) ..., N the corresponding N group elementary probability assignment of shock sensor is (u
N, w
N, e
N), N is the natural number greater than 3, u
i(i=1,2,3 ..., N) for the elementary probability assignment of malfunction, w are arranged
i(i=1,2,3 ..., N) be the elementary probability assignment of unfaulty conditions, e
i(i=1,2,3 ..., N) be the elementary probability assignment of nondeterministic statement, u
i, w
iAnd e
iValue respectively between 0 and 1, and u
i+ w
i+ e
i=1;
According to following formula, with (u
1, w
1, e
1) as m
1Three burnt (A of unit
1, A
2, A
3), with (u
2, w
2, e
2) as m
2Three burnt (B of unit
1, B
2, B
3), first group of elementary probability assignment and second group of elementary probability assignment merged obtain m (C),
M (C) and the 3rd group of elementary probability assignment are merged according to above-mentioned formula, and the rest may be inferred, until the data fusion completion with N shock sensor, thereby obtains the fusion results (u of N shock sensor
o, w
o, e
o).
Preferable, to adjudicate according to a plurality of fusion results, the state step that obtains the blower fan gear case comprises:
To u
o, w
oAnd e
oMagnitude relationship judge;
If w
oMaximum, then the blower fan gear case operates in unfaulty conditions;
If e
oMaximum, then the blower fan gear case operates in nondeterministic statement;
If u
oMaximum makes m (A
1)=u
o, m (A
2)=w
o, m (A
k)=e
oIf, u
o, w
oAnd e
oSatisfy following formula:
Then the blower fan gear case operates in malfunction, wherein ε
1, ε
2Be predefined threshold value.
Preferable, said method is further comprising the steps of:
If the blower fan gear case has operated in malfunction, the blower fan gear case is made the corresponding protection action.
Preferable, said method is further comprising the steps of:
If the blower fan gear case operates in nondeterministic statement, the user is sent alarm.
The foregoing description carries out data fusion with the analysis result of a plurality of shock sensors; Each shock sensor is no matter be through time-domain analysis or through frequency-domain analysis; All will obtain an analysis result: running state of gear box is that fault is arranged; The concrete probability size of non-fault and uncertainty; And then these analysis results are carried out a high-level data fusion, obtain a total gear case operation result, thereby can reduce indivedual shock sensors because the false alarm phenomenon that noise or failure cause cause.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is for detect the method flow diagram of blower fan gear case state according to an embodiment of the invention;
Fig. 2 is the system chart of Fig. 1 embodiment.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not paying the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
Fig. 1 is for detect the method flow diagram of blower fan gear case state according to an embodiment of the invention.As shown in Figure 1, this method may further comprise the steps:
S102 gathers the vibrating state of blower fan gear case through a plurality of shock sensors, obtains reflecting a plurality of elementary probability assignment of blower fan gear case state;
S104 merges a plurality of elementary probability assignment according to the DS theory, obtains a plurality of fusion results;
S106 adjudicates according to a plurality of fusion results, obtains the state of blower fan gear case.
In the present embodiment; At each position of gear case the vibration information that a plurality of shock sensors are monitored gear case in real time is installed respectively; Each shock sensor passes to controller with the vibration information that it collects; Controller compares analysis with the real time data and the historical data of each shock sensor; Obtain the judged result of each sensor to the gear case vibrating state, the judged result utilization DS evidence theory with each sensor carries out top data fusion at last, obtains the running status of gear case.
Fig. 2 is the system chart of Fig. 1 embodiment.As shown in Figure 2; Present embodiment is not limited to the data analysis of single shock sensor; But the analysis result of a plurality of shock sensors is carried out data fusion, each shock sensor is no matter be that all will obtain an analysis result: running state of gear box is that fault is arranged through time-domain analysis or process frequency-domain analysis; The concrete probability size of non-fault and uncertainty; And then these analysis results are carried out a high-level data fusion, obtain a total gear case operation result, thereby can reduce indivedual shock sensors because the false alarm phenomenon that noise or failure cause cause.
For example, the vibrating state of blower fan gear case is gathered, is obtained reflecting that a plurality of elementary probability assignment steps of blower fan gear case state comprise through a plurality of shock sensors:
Through a plurality of shock sensors the vibrating state of blower fan gear case is gathered; Data of gathering and the historical data that is stored in the database are compared, and the possibility that the blower fan gear case is operated in malfunction, unfaulty conditions and nondeterministic statement is judged;
Obtain the elementary probability assignment that many group reflection blower fan gear casees operate in malfunction, unfaulty conditions and nondeterministic statement according to judged result; Wherein, the elementary probability assignment sum that malfunction, unfaulty conditions and nondeterministic statement are arranged that each shock sensor records equals 1.
Definition 1: establish the domain that V representes that X institute might value and gather, and be mutual exclusive between all elements in V, claim that then V is the identification framework of X.
Definition 2: establishing V is an identification framework, then function m: 2
v→ [0,1] (2
vThe set that constitutes for all subclass of V) satisfy following condition:
(1)m(φ)=0 (1)
Claim that then m (A) is the elementary probability assignment (BPA) of A, expression has been represented the direct support to A to the accurate trusting degree of proposition A.
For example, a plurality of elementary probability assignment are merged, obtain a plurality of fusion results steps and comprise according to the DS theory:
If total N of a plurality of shock sensors, first group of elementary probability assignment that first shock sensor is corresponding is (u
1, w
1, e
1), second second group of corresponding elementary probability assignment of shock sensor is (u
2, w
2, e
2), the 3rd the 3rd group of corresponding elementary probability assignment of shock sensor is (u
3, w
3, e
3) ..., N the corresponding N group elementary probability assignment of shock sensor is (u
N, w
N, e
N), N is the natural number greater than 3, u
i(i=1,2,3 ..., N) for the elementary probability assignment of malfunction, w are arranged
i(i=1,2,3 ..., N) be the elementary probability assignment of unfaulty conditions, e
i(i=1,2,3 ..., N) be the elementary probability assignment of nondeterministic statement, u
i, w
iAnd e
iValue respectively between 0 and 1, and u
i+ w
i+ e
i=1;
Wherein the size of e is measured the measuring accuracy decision by its corresponding shock sensor.The running status of the gear case that corresponding this sensor of each u value provides.The u value of each shock sensor correspondence is between 0 and 1, and good more the closer to 0 running state of gear box, big more the closer to the possibility of 1 gearbox fault, when u=0, out of order probability is 0.So is the BPA that malfunction is arranged with the u value of each sensor as corresponding shock sensor check result; The BPA that is unfaulty conditions with the w value as corresponding shock sensor check result equally; The BPA that the e value is a nondeterministic statement as corresponding shock sensor check result.Thereby satisfy the requirement of formula (1) and formula (2), can be used as corresponding elementary probability assignment;
Definition 3: establish BEL
1And BEL
2Be two belief functions on the same identification framework V, m
1And m
2Be respectively its corresponding elementary probability assignment (BPA), burnt unit is respectively A
1... A
kAnd B
1... B
r, establish again
Then
In the above in the formula, if K
1≠ 1, then m confirms an elementary probability assignment; K
1=1, then think m
1, m
2Contradiction can not make up the elementary probability assignment.The evidence rule of combination that definition 3 provides satisfies law of association and exchange rate, for the combination of a plurality of evidences, can adopt the rule of combination of definition 3 evidence to be carried out comprehensive in twos.
According to formula (3) and (4), with (u
1, w
1, e
1) as m
1Three burnt (A of unit
1, A
2, A
3), with (u
2, w
2, e
2) as m
2Three burnt (B of unit
1, B
2, B
3); First group of elementary probability assignment and second group of elementary probability assignment merged obtain m (C); M (C) is merged (3) and (4) with the 3rd group of elementary probability assignment according to above-mentioned formula; The rest may be inferred, until the data fusion of N shock sensor is accomplished, thereby obtains the fusion results (u of N shock sensor
o, w
o, e
o).
Decision-making based on the elementary probability assignment: establish
and satisfy
A then
1Be court verdict, wherein ε
1, ε
2Be predefined thresholding.
For example, adjudicate according to a plurality of fusion results, the state step that obtains the blower fan gear case comprises:
To u
o, w
oAnd e
oMagnitude relationship judge;
If w
oMaximum, then the blower fan gear case operates in unfaulty conditions;
If e
oMaximum, then the blower fan gear case operates in nondeterministic statement;
If u
oMaximum makes m (A
1)=u
o, m (A
2)=w
o, m (A
k)=e
oIf, u
o, w
oAnd e
oSatisfy formula (7), then the blower fan gear case operates in malfunction, wherein ε
1, ε
2Be predefined threshold value.
For example, said method is further comprising the steps of:
If the blower fan gear case has operated in malfunction, the blower fan gear case is made the corresponding protection action.
For example, said method is further comprising the steps of:
If the blower fan gear case operates in nondeterministic statement, the user is sent alarm.
From the description of the foregoing description, can find out; The present invention carries out data fusion with the status information at each position that the DS evidence theory records a plurality of shock sensors; And then obtain the overall operation state of whole gear case, thereby strong assurance is provided for the normal operation of whole blower fan.
One of ordinary skill in the art will appreciate that: accompanying drawing is the synoptic diagram of an embodiment, and module in the accompanying drawing or flow process might not be that embodiment of the present invention is necessary.
One of ordinary skill in the art will appreciate that: the module in the device among the embodiment can be described according to embodiment and be distributed in the device of embodiment, also can carry out respective change and be arranged in the one or more devices that are different from present embodiment.The module of the foregoing description can be merged into a module, also can further split into a plurality of submodules.
The invention described above embodiment sequence number is not represented the quality of embodiment just to description.
One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can be accomplished through the relevant hardware of programmed instruction; Aforesaid program can be stored in the computer read/write memory medium; This program the step that comprises said method embodiment when carrying out; And aforesaid storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CD.
What should explain at last is: above embodiment is only in order to explaining technical scheme of the present invention, but not to its restriction; Although with reference to previous embodiment the present invention has been carried out detailed explanation, those of ordinary skill in the art is to be understood that: it still can be made amendment to the technical scheme that previous embodiment is put down in writing, and perhaps part technical characterictic wherein is equal to replacement; And these are revised or replacement, do not make the spirit and the scope of the essence disengaging embodiment of the invention technical scheme of relevant art scheme.
Claims (6)
1. a method that detects blower fan gear case state is characterized in that, may further comprise the steps:
Through a plurality of shock sensors the vibrating state of blower fan gear case is gathered, obtained reflecting a plurality of elementary probability assignment of said blower fan gear case state;
According to the DS theory said a plurality of elementary probability assignment are merged, obtain a plurality of fusion results;
Adjudicate according to said a plurality of fusion results, obtain the state of said blower fan gear case.
2. method according to claim 1 is characterized in that, through a plurality of shock sensors the vibrating state of blower fan gear case is gathered, and obtains reflecting that a plurality of elementary probability assignment steps of said blower fan gear case state comprise:
Through a plurality of shock sensors the vibrating state of blower fan gear case is gathered; Data of gathering and the historical data that is stored in the database are compared, the possibility that said blower fan gear case operates in malfunction, unfaulty conditions and nondeterministic statement is judged;
Obtain the elementary probability assignment that the said blower fan gear case of many group reflections operates in malfunction, unfaulty conditions and nondeterministic statement according to judged result; Wherein, the elementary probability assignment sum that malfunction, unfaulty conditions and nondeterministic statement are arranged that each said shock sensor records equals 1.
3. method according to claim 1 is characterized in that, according to the DS theory said a plurality of elementary probability assignment is merged, and obtains a plurality of fusion results steps and comprises:
If total N of said a plurality of shock sensor, first group of elementary probability assignment that first said shock sensor is corresponding is (u
1, w
1, e
1), second second group of corresponding elementary probability assignment of said shock sensor is (u
2, w
2, e
2), the 3rd the 3rd group of corresponding elementary probability assignment of said shock sensor is (u
3, w
3, e
3) ..., N the corresponding N group elementary probability assignment of said shock sensor is (u
N, w
N, e
N), N is the natural number greater than 3, u
i(i=1,2,3 ..., N) for the elementary probability assignment of malfunction, w are arranged
i(i=1,2,3 ..., N) be the elementary probability assignment of unfaulty conditions, e
i(i=1,2,3 ..., N) be the elementary probability assignment of nondeterministic statement, u
i, w
iAnd e
iValue respectively between 0 and 1, and u
i+ w
i+ e
i=1;
According to following formula, with (u
1, w
1, e
1) as m
1Three burnt (A of unit
1, A
2, A
3), with (u
2, w
2, e
2) as m
2Three burnt (B of unit
1, B
2, B
3), said first group of elementary probability assignment and said second group of elementary probability assignment merged obtain m (C),
M (C) and said the 3rd group of elementary probability assignment are merged according to above-mentioned formula, and the rest may be inferred, until the data fusion completion with N shock sensor, thereby obtains the fusion results (u of N shock sensor
o, w
o, e
o).
4. method according to claim 3 is characterized in that, adjudicates according to said a plurality of fusion results, and the state step that obtains said blower fan gear case comprises:
To u
o, w
oAnd e
oMagnitude relationship judge;
If w
oMaximum, then said blower fan gear case operates in unfaulty conditions;
If e
oMaximum, then said blower fan gear case operates in nondeterministic statement;
If u
oMaximum makes m (A
1)=u
o, m (A
2)=w
o, m (A
k)=e
oIf, u
o, w
oAnd e
oSatisfy following formula:
Then said blower fan gear case operates in malfunction, wherein ε
1, ε
2Be predefined threshold value.
5. method according to claim 4 is characterized in that, and is further comprising the steps of:
If said blower fan gear case has operated in malfunction, said blower fan gear case is made the corresponding protection action.
6. method according to claim 4 is characterized in that, and is further comprising the steps of:
If said blower fan gear case operates in nondeterministic statement, the user is sent alarm.
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CN201110140393.2A CN102680228B (en) | 2011-05-27 | 2011-05-27 | Method for detecting state of fan gear box |
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CN103728134A (en) * | 2012-10-16 | 2014-04-16 | 华锐风电科技(集团)股份有限公司 | Method and device for detecting unit bearing and wind generator unit |
CN103868689A (en) * | 2014-02-20 | 2014-06-18 | 温州大学 | Vibration frequency analysis-based gear defect rapid detection system and method |
CN108318249A (en) * | 2018-01-24 | 2018-07-24 | 广东石油化工学院 | A kind of method for diagnosing faults of bearing in rotating machinery |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103728134A (en) * | 2012-10-16 | 2014-04-16 | 华锐风电科技(集团)股份有限公司 | Method and device for detecting unit bearing and wind generator unit |
CN103728134B (en) * | 2012-10-16 | 2016-05-18 | 华锐风电科技(集团)股份有限公司 | The detection method of unit bearing and device and wind-powered electricity generation unit |
CN103868689A (en) * | 2014-02-20 | 2014-06-18 | 温州大学 | Vibration frequency analysis-based gear defect rapid detection system and method |
CN108318249A (en) * | 2018-01-24 | 2018-07-24 | 广东石油化工学院 | A kind of method for diagnosing faults of bearing in rotating machinery |
CN108318249B (en) * | 2018-01-24 | 2020-04-17 | 广东石油化工学院 | Fault diagnosis method for rotary mechanical bearing |
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