CN102183349B - Fluctuation type crash and friction fault real-time identification method of steam turbine generator set - Google Patents

Fluctuation type crash and friction fault real-time identification method of steam turbine generator set Download PDF

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CN102183349B
CN102183349B CN 201110036869 CN201110036869A CN102183349B CN 102183349 B CN102183349 B CN 102183349B CN 201110036869 CN201110036869 CN 201110036869 CN 201110036869 A CN201110036869 A CN 201110036869A CN 102183349 B CN102183349 B CN 102183349B
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vibration amplitude
rubbing
extreme point
fault
generator set
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CN102183349A (en
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宋光雄
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North China Electric Power University
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North China Electric Power University
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Abstract

The invention discloses a fluctuation type crash and friction fault real-time identification method of a steam turbine generator set in the field of rotating mechanical vibration state monitoring and fault diagnosis techniques, which comprises the following steps: the pass frequency vibration amplitude data are computed and stored in the interval of a stepping length; when the first time span is reached, the maximum values of the pass frequency vibration amplitude data are obtained and stored; when the second time span is reached, the maximum values of the pass frequency vibration amplitude data are ranked into a pass frequency vibration amplitude extremum array according to the sequential storage time sequence; the extremum points of the pass frequency vibration amplitude extremum array are computed, the extremum points are formed into an extremum point array; the data in the extremum point array are ranked according to the magnitude sequence to obtain a final extremum point array; the absolute value of the difference value of the front q item average value and the following q item average value in the final extremum point array is computed; and the shafting of the set is judged to generate fluctuation type crash and friction faults or not. In the invention, the real-time automatic online monitoring of the bearing pedestal vibration data is realized, and the efficiency and accuracy of the fluctuation type crash and friction fault real-time analysis of the steam turbine generator set are improved.

Description

The Turbo-generator Set Wave type touches the fault real-time identification method of rubbing
Technical field
The invention belongs to rotating machinery vibrating condition monitoring and fault diagnosis technical field, relate in particular to a kind of Turbo-generator Set Wave type and touch the fault real-time identification method of rubbing.
Background technology
It is common fault in service that the touching of large turbo-type generator group rotatable parts and stationary parts rubbed.Along with large-scale unit requires to improve constantly to efficient, dynamic and static gaps diminishes, and touches the possibility increase that the fault of rubbing occurs.Touching rubs makes rotor produce very complicated motion, and the lighter makes unit judder occur, and serious caused rotating shaft permanent bending, even whole axle are to damage.The large turbo-type generator group is touched under working speed when rubbing fault, and its amplitude variations form is different.Wherein, the amplitude that Wave type touches the fault of rubbing fluctuates in certain limit, can last very long.This belongs to continuous, the slight fault of rubbing of touching.Touch the accurate analysis diagnosis of the vibration fault that rubs to guaranteeing unit safety stable operation, prevent that major accident from occuring significant.
Usually, large turbo-type generator group Wave type touches the fault analysis work that rubs, completed by analyzing vibration data by the professional with certain field operation experiences, bring thus the analytical work problem higher to professional's degree of dependence, and can't accomplish that Turbo-generator Set touches the monitoring of the real-time automatic on-line of the fault of rubbing, analyzes identification.Therefore, proposing a kind of Turbo-generator Set Wave type touches the fault real-time identification method of rubbing and just seems very necessary.
Summary of the invention
The object of the invention is to, provide a kind of Turbo-generator Set Wave type to touch the fault real-time identification method of rubbing, by gathering the bearing seat passband vibration data of unit rotor in service, the unit Wave type is touched the real-time automatic on-line monitoring of the fault of rubbing, analyzes identification, improve efficient and accuracy that the Turbo-generator Set Wave type touches the fault analysis that rubs.
Technical scheme is that a kind of Turbo-generator Set Wave type touches the fault real-time identification method of rubbing, and it is characterized in that described method comprises:
Step 1: set the first duration T 1, the second duration T 2, stepping length t, and make stepping total length t sum=0;
Step 2: Real-time Collection machine group rotor one side shaft holder vibration data, calculate and store passband vibration amplitude data A dct
Step 3: judgement stepping total length t sumWhether more than or equal to the first duration T 1, if so, execution in step 4; Otherwise, make stepping total length t sumIncrease by 1 stepping length t, return to step 2;
Step 4: all passband vibration amplitude data A of storage in obtaining step 2 dctMaximal value A mdAnd storage;
Step 5: judge whether to reach the second duration T 2, if so, execution in step 6; Otherwise, make stepping total length t sum=0, return to step 2;
Step 6: according to the sequencing of storage time, with passband vibration amplitude data A dctMaximal value A mdLine up passband vibration amplitude extreme value sequence
Figure BDA0000046691130000021
Wherein,
Step 7: calculate passband vibration amplitude extreme value sequence Extreme point, and all extreme points are formed the extreme point sequence
Figure BDA0000046691130000024
K=1,2 ..., p, p are the extreme point sequence Data amount check;
Step 8: with the extreme point sequence
Figure BDA0000046691130000026
In data arranged sequentially by size, obtain final extreme point sequence
Figure BDA0000046691130000027
Step 9: calculate final extreme point sequence
Figure BDA0000046691130000028
Front q item average μ f, rear q item average μ bAnd μ fAnd μ bThe absolute value d of difference fb, wherein
Figure BDA0000046691130000031
[] represents rounding operation;
Step 10: judge whether shaft system of unit Wave type occurs touch the fault of rubbing.
Described calculating passband vibration amplitude extreme value sequence Extreme point comprise:
Step 101: utilize formula
Figure BDA0000046691130000033
Calculate passband vibration amplitude extreme value sequence
Figure BDA0000046691130000034
First order difference
Figure BDA0000046691130000035
Wherein, j=1,2,3 ..., m-1,
Figure BDA0000046691130000036
Step 102: if satisfy condition
Figure BDA0000046691130000037
And
Figure BDA0000046691130000038
Perhaps satisfy condition
Figure BDA0000046691130000039
Figure BDA00000466911300000310
Be passband vibration amplitude extreme value sequence
Figure BDA00000466911300000311
Extreme point.
The final extreme point sequence of described calculating
Figure BDA00000466911300000312
Front q item average μ fAdopt formula
The final extreme point sequence of described calculating
Figure BDA00000466911300000314
Rear q item average μ bAdopt formula
Figure BDA00000466911300000315
Whether described judgement shaft system of unit Wave type occurs is touched and rubs fault specifically, if satisfy simultaneously following condition:
(1) final extreme point sequence Front q item average μ fWith rear q item average μ bThe absolute value d of difference fbGreater than the first setting value;
(2) extreme point sequence Data amount check p greater than the second setting value and less than the 3rd setting value;
Judge that shaft system of unit generation Wave type touches the fault of rubbing; Otherwise, judge that shaft system of unit Wave type does not occur touches the fault of rubbing.
Described the first setting value is 12 μ m.
Described the second setting value is 5.
Described the 3rd setting value is 17.
The present invention realized the monitoring of real-time automatic on-line, the analysis and calculation of shaft system of unit armature spindle bearing vibration data, improved efficient and accuracy that the Turbo-generator Set Wave type touches the fault real-time analysis that rubs.
Description of drawings
Fig. 1 is that the Turbo-generator Set Wave type touches the fault real-time identification method flow diagram that rubs;
Fig. 2 is that the Turbo-generator Set Wave type touches the fault real-time identification schematic diagram that rubs;
Fig. 3 is passband vibration amplitude sequence data figure;
Fig. 4 is passband vibration amplitude sequence first order difference data plot.
Embodiment
Below in conjunction with accompanying drawing, preferred embodiment is elaborated.Should be emphasized that, following explanation is only exemplary, rather than in order to limit the scope of the invention and to use.
Fig. 1 is that the Turbo-generator Set Wave type touches the fault real-time identification method flow diagram that rubs.In Fig. 1, Turbo-generator Set Wave type provided by the invention touches the fault real-time identification method of rubbing and comprises:
Step 1: set the first duration T 1=100 seconds, the second duration T 2=30000 seconds, stepping length t=1 second, make stepping total length t sum=0.
In actual implementation process, the second duration T 2Can get 40000 〉=T 2〉=30000 seconds.In addition, in order to judge whether shaft system of unit Wave type occurs touch the fault of rubbing, and gets the first setting value D 1=12 μ m, the second setting value D 2The=5, the 3rd setting value D 3=17.
Step 2: Real-time Collection machine group rotor one side shaft holder vibration data, calculate and store passband vibration amplitude data A dct
Fig. 2 is that the Turbo-generator Set Wave type touches the fault real-time identification schematic diagram that rubs, and in Fig. 2, the vibration of bearings signal of Turbo-generator Set obtains from the supervisory instrument (TSI) of configuration Turbo-generator Set.In the slot that vibrating data collection card and data collecting card insertion industrial microcomputer (IPC) provide.According to the requirement of data collecting card, the data acquisition conditioning device processes the vibration of bearings signal of self generating sets supervisory instrument (TSI), the corresponding data capture card in vibration of bearings signal input IPC after treatment.Each passage technology parameter of vibrating data collection card is 50ks/s, 24bit.
Touch according to the concrete Turbo-generator Set Wave type of method provided by the invention design the fault real-time identification program of rubbing, with the real-time identification installation in industrial microcomputer (IPC).The Turbo-generator Set Wave type touches an analysis cycle process in the fault real-time identification program of rubbing, and comprises that the real time data acquisition that relates in real-time analysis method and storage, passband vibration amplitude extreme point calculate and touch the series of computation analysis verification links such as fault real time discriminating of rubbing in real time.
Real-time analysis program in industrial microcomputer (IPC) is by vibration at high speed data collecting card Real-time Collection unit low pressure rotor A side shaft holder vibration data signal.Real-time storage passband vibration amplitude data A dct(amplitude unit is μ m), data are to store once second every t=1.
Step 3: judgement stepping total length t sumWhether more than or equal to the first duration T 1=100 seconds, if so, execution in step 4; Otherwise, make stepping total length t sumIncrease by 1 stepping length t, i.e. t sum=t sum+ t returns to step 2.
Step 4: all passband vibration amplitude data A of storage in obtaining step 2 dctMaximal value A mdAnd storage.
Due to the first duration T 1=100 seconds, stepping length t=1 second was therefore at the first duration T 1In=100 seconds, the passband vibration amplitude data A of storage dctHave 100.All passband vibration amplitude data A of storage in obtaining step 2 dctMaximal value A md, namely at 100 passband vibration amplitude data A dctIn obtain maximal value A mdWith the maximal value A that obtains mdStorage.
Step 5: judge whether to reach the second duration T 2=30000 seconds, if so, execution in step 6; Otherwise, make stepping total length t sum=0, return to step 2.
At the first duration T 1In=100 seconds, stored 1 maximal value A mdWhen through 300 the first duration T 1After, reach the second duration T 2=30000 seconds, the passband vibration amplitude data A that stores this moment dctMaximal value A mdNumber be 300.
Step 6: according to the sequencing of storage time, with passband vibration amplitude data A dctMaximal value A mdLine up passband vibration amplitude extreme value sequence
Figure BDA0000046691130000061
Wherein, j=1,2 ..., 300.
Step 7: calculate passband vibration amplitude extreme value sequence Extreme point, and all extreme points are formed the extreme point sequence
Figure BDA0000046691130000063
K=1,2 ..., p, p are the extreme point sequence
Figure BDA0000046691130000064
Data amount check.
Passband vibration amplitude extreme value sequence
Figure BDA0000046691130000065
The computation process of extreme point be:
Step 101: utilize formula
Figure BDA0000046691130000066
Calculate passband vibration amplitude extreme value sequence
Figure BDA0000046691130000067
First order difference
Figure BDA0000046691130000068
Wherein, j=1,2,3 ..., m-1,
Step 102: if satisfy condition
Figure BDA00000466911300000610
And
Figure BDA00000466911300000611
Perhaps satisfy condition
Figure BDA00000466911300000613
Be passband vibration amplitude extreme value sequence
Figure BDA00000466911300000614
Extreme point.
Step 8: with the extreme point sequence
Figure BDA00000466911300000615
In data arranged sequentially by size, obtain final extreme point sequence
Figure BDA00000466911300000616
K=1,2 ..., p.
Step 9: calculate final extreme point sequence
Figure BDA00000466911300000617
Front q item average μ f, rear q item average μ bAnd μ fAnd μ bThe absolute value d of difference fb
Calculate final extreme point sequence
Figure BDA00000466911300000618
Front q item average μ fAdopt formula Calculate final extreme point sequence
Figure BDA00000466911300000620
Rear q item average μ bAdopt formula Wherein, q is the numerical value that the p/2 round obtains, namely
Figure BDA00000466911300000622
[] represents rounding operation.
Then, calculate μ fAnd μ bThe absolute value d of difference fb=| μ f-μ b|.
Step 10: judge whether shaft system of unit Wave type occurs touch the fault of rubbing.
If satisfy simultaneously following condition:
(1) final extreme point sequence
Figure BDA0000046691130000071
Front q item average μ fWith rear q item average μ bThe absolute value d of difference fbGreater than the first setting value, i.e. d fb＞D 1=12 μ m;
(2) extreme point sequence
Figure BDA0000046691130000072
Data amount check p greater than the second setting value and less than the 3rd setting value, i.e. 15=D 3＞p＞D 2=7;
Judge that shaft system of unit generation Wave type touches the fault of rubbing; Otherwise, judge that shaft system of unit Wave type does not occur touches the fault of rubbing.
In the present embodiment, the passband vibration amplitude extreme value sequence that calculates
Figure BDA0000046691130000073
(j=1,2,3 ..., 300) data as shown in Figure 3.The passband vibration amplitude extreme value sequence that calculates
Figure BDA0000046691130000074
First order difference
Figure BDA0000046691130000075
(j=1,2,3 ..., 300) data as shown in Figure 4.Calculate the extreme point sequence
Figure BDA0000046691130000076
Data volume p=8, the p/2 round obtains q=4.The extreme point sequence
Figure BDA0000046691130000077
(k=1,2 ..., 8) sequentially sequence obtains final extreme point sequence by size
Figure BDA0000046691130000078
Calculate final extreme point sequence
Figure BDA0000046691130000079
The average μ of front 4 f=55.56 μ m; Calculate final extreme point sequence The average μ of rear 4 b=39.54 μ m.Calculate μ f, μ bThe absolute value d of difference fb=16.02 μ m.
According to above-mentioned result of calculation, final extreme point sequence
Figure BDA00000466911300000711
The average μ of front 4 fAverage μ with rear 4 bThe absolute value d of difference fb＞12 μ m, the extreme point sequence
Figure BDA00000466911300000712
Data volume 17＞p＞5, can judge thus, shaft system of unit generation Wave type touches the fault of rubbing.
The present invention utilizes shaft system of unit armature spindle bearing vibration data to carry out real-time automatic on-line monitoring, analysis and calculation, judge whether unit Wave type occurs touch the fault of rubbing, improve efficient and accuracy that the Turbo-generator Set Wave type touches the fault real-time analysis that rubs, ensured the safe operation of Turbo-generator Set.
The above; only for the better embodiment of the present invention, but protection scope of the present invention is not limited to this, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement are within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.

Claims (7)

1. a Turbo-generator Set Wave type touches the fault real-time identification method of rubbing, and it is characterized in that described method comprises:
Step 1: set the first duration T 1, the second duration T 2, stepping length t, and make stepping total length t sum=0;
Step 2: Real-time Collection machine group rotor one side shaft holder vibration data, calculate and store passband vibration amplitude data A dct;
Step 3: judgement stepping total length t sumWhether more than or equal to the first duration T 1, if so, execution in step 4; Otherwise, make stepping total length t sumIncrease by 1 stepping length t, return to step 2;
Step 4: all passband vibration amplitude data A of storage in obtaining step 2 dctMaximal value A mdAnd storage;
Step 5: judgement is from step 1 beginning until whether current time reaches the second duration T 2, if so, execution in step 6; Otherwise, make stepping total length t sum=0, return to step 2;
Step 6: according to the sequencing of storage time, with passband vibration amplitude data A dctMaximal value A mdLine up passband vibration amplitude extreme value sequence Wherein,
Figure FDA00002866277500012
Step 7: calculate passband vibration amplitude extreme value sequence
Figure FDA00002866277500013
Extreme point, and all extreme points are formed the extreme point sequence
Figure FDA00002866277500014
K=1,2 ..., p, p are the extreme point sequence
Figure FDA00002866277500015
Data amount check;
Step 8: with the extreme point sequence In data arranged sequentially by size, obtain final extreme point sequence
Step 9: calculate final extreme point sequence
Figure FDA00002866277500018
Front q item average μ f, rear q item average μ bAnd μ fAnd μ bThe absolute value d of difference fb, wherein
Figure FDA00002866277500021
[.] represents rounding operation;
Step 10: judge whether shaft system of unit Wave type occurs touch the fault of rubbing; Specifically, if satisfy simultaneously following condition:
(1) final extreme point sequence
Figure FDA00002866277500022
Front q item average μ fWith rear q item average μ bThe absolute value d of difference fbGreater than the first setting value;
(2) extreme point sequence
Figure FDA00002866277500023
Data amount check p greater than the second setting value and less than the 3rd setting value;
Judge that shaft system of unit generation Wave type touches the fault of rubbing; Otherwise, judge that shaft system of unit Wave type does not occur touches the fault of rubbing.
2. a kind of Turbo-generator Set Wave type according to claim 1 touches the fault real-time identification method of rubbing, and it is characterized in that described calculating passband vibration amplitude extreme value sequence Extreme point comprise:
Step 101: utilize formula
Figure FDA00002866277500025
Calculate passband vibration amplitude extreme value sequence First order difference
Figure FDA00002866277500027
Wherein, j=1,2,3 ..., m-1,
Step 102: if satisfy condition And
Figure FDA000028662775000210
Perhaps satisfy condition
Figure FDA000028662775000211
Figure FDA000028662775000212
Be passband vibration amplitude extreme value sequence
Figure FDA000028662775000213
Extreme point.
3. a kind of Turbo-generator Set Wave type according to claim 2 touches the fault real-time identification method of rubbing, and it is characterized in that the final extreme point sequence of described calculating
Figure FDA000028662775000214
Front q item average μ fAdopt formula μ f = 1 / q Σ k = 1 q A k n _ iflx .
4. a kind of Turbo-generator Set Wave type according to claim 3 touches the fault real-time identification method of rubbing, and it is characterized in that the final extreme point sequence of described calculating
Figure FDA000028662775000216
Rear q item average μ bAdopt formula μ b = 1 / q Σ k = p - q + 1 p A k n _ iflx .
5. a kind of Turbo-generator Set Wave type according to claim 4 touches the fault real-time identification method of rubbing, and it is characterized in that described the first setting value is 12 μ m.
6. a kind of Turbo-generator Set Wave type according to claim 4 touches the fault real-time identification method of rubbing, and it is characterized in that described the second setting value is 5.
7. a kind of Turbo-generator Set Wave type according to claim 4 touches the fault real-time identification method of rubbing, and it is characterized in that described the 3rd setting value is 17.
CN 201110036869 2011-02-12 2011-02-12 Fluctuation type crash and friction fault real-time identification method of steam turbine generator set Expired - Fee Related CN102183349B (en)

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CN101430239A (en) * 2008-11-28 2009-05-13 华北电力大学 Real-time diagnosis method for oil film whirl fault of large steam turbine-generator
CN101532911A (en) * 2009-04-24 2009-09-16 华北电力大学 Large steam turbine-generator set rotor crack fault real-time diagnosis method
CN101769785A (en) * 2010-01-29 2010-07-07 北京信息科技大学 Vibration state spot check method for water injection machines and detection device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101256548A (en) * 2007-12-03 2008-09-03 西北工业大学 Method for recognition of bump-scrape fault of rotor
CN101403648A (en) * 2008-11-20 2009-04-08 华北电力大学 Steam flow excitation fault real-time diagnosis method for large steam turbine-generator
CN101430239A (en) * 2008-11-28 2009-05-13 华北电力大学 Real-time diagnosis method for oil film whirl fault of large steam turbine-generator
CN101532911A (en) * 2009-04-24 2009-09-16 华北电力大学 Large steam turbine-generator set rotor crack fault real-time diagnosis method
CN101769785A (en) * 2010-01-29 2010-07-07 北京信息科技大学 Vibration state spot check method for water injection machines and detection device

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