CN1109166A - Method and apparatus for inline measuring turbine generator bearing damp - Google Patents
Method and apparatus for inline measuring turbine generator bearing damp Download PDFInfo
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- CN1109166A CN1109166A CN 94111275 CN94111275A CN1109166A CN 1109166 A CN1109166 A CN 1109166A CN 94111275 CN94111275 CN 94111275 CN 94111275 A CN94111275 A CN 94111275A CN 1109166 A CN1109166 A CN 1109166A
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- frequency
- characteristic signal
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Abstract
The in-line measuring method for bearing damp of turbine generator set uses such technique as acquiring signal, taking characteristic signal, A/D conversion and processing characteristic signal with expansion Prong method. The in-line measuring equipment comprises vibration ensor, characteristic signal abstracter, signal acquisition device, characteristic signal processor, power supply and casing. The characteristic signal abstracter is composed of amplifier, active RC band-pass filter and the filter with sharp frequency attenuation.
Description
The present invention is a kind of online test method and equipment thereof that is used to measure turbine generator bearing damp, belongs to vibration analysis and technical field of measurement and test.
Turbine generator bearing damp all is to calculate by theory analysis method at present, and does not have special online test method and equipment thereof.Because the theoretical analysis complexity, amount of calculation is very big, can't carry out real-time analysis and calculating to operating turbine generator bearing damp, thereby is unfavorable for operating Turbo-generator Set is monitored and fault diagnosis and eliminating in real time.
The objective of the invention is at the deficiencies in the prior art, a kind of online test method and equipment thereof of turbine generator bearing damp is provided, be the safe operation of Turbo-generator Set, fault diagnosis, performance evaluation and condition monitoring etc. provides foundation.
Online detection method of the present invention is realized by following steps:
(1), utilize the sensor acquisition signal, promptly vibration signal is converted into electric signal by eddy current sensor or electromagnetic sensor.
(2), utilize the characteristic signal extraction apparatus to obtain characteristic signal, because the electric signal of sensor gained is by low frequency, the mixed frequency signal that power frequency and dither component are formed, the characteristic signal of reflection bearing damp characteristic mainly is a bearing low-frequency vibration component, and low frequency component is more much smaller than power frequency and high fdrequency component, usually only account for the logical 1%-5% of amplitude frequently, thereby need to remove power frequency and high fdrequency component, obtain low frequency component as characteristic signal by the characteristic signal extraction apparatus.
(3), modulus (A/D) conversion, be about to analog signal conversion and become digital signal.
(4), utilize expansion Pu Luoni (Prony) method to carry out the characteristic signal processing, because the low frequency signal X that actual measurement obtains
t(t=1.2 ... n, n are sampling number) form X by the waveform of one group of group decay
tExpression vibration displacement value (when adopting eddy current sensor) or vibration speed value (when adopting electromagnetic sensor), it does not directly reflect the damping characteristic of bearing, need approach promptly by one group of deamplification:
A wherein
iAnd β
iBe respectively amplitude and phase place, △ is a sampling time interval; Though employing Nonlinear System of Equations method for solving can be according to the X that records
t, obtain d
iWith
, but this method is consuming time many, and amount of calculation is big, adopts expansion Pu Luoni (Prong) method can avoid the solution procedure of Nonlinear System of Equations, can improve processing speed greatly.
(5), adopt display display process result or printer prints to go out result.
Characteristic signal in the online detection method of the present invention extracts, and can adopt elder generation to carry out signal by amplifier and amplify, adopts the Active RC band-pass filter, uses the scheme of high-precision filter filtering to realize then.Expansion Pu Luoni (Prong) method can be realized by following scheme:
(1). according to measured signal X
t, set up about X
tThe autoregression difference equation:
X
t+
c
1X
t-e＝ε
t
Wherein: ε
tBe residual error; C
1Be autoregressive coefficient, available auxiliary variable method is tried to achieve C
1Consistent estimate.
(2). use autoregressive coefficient C
1Construct a polynomial expression:
Z
p+C
1Z
p-1+……+C
p-1Z+C
p＝0
Find the solution polynomial characteristic root Z with quadratic factor algorithm
j(j=1,2 ... p).
(3). according to characteristic root Z
iWith d
iWith
Relation obtain d
iWith
:
d
j＝ 1/(△)
|Z
j|（j＝1，2……p）
Wherein: I
MZ
jAnd R
Z
jBe respectively Z
jImaginary part and real part, | Z
j| be Z
jMould.
(4). reject false value, export correct result, right at the P that obtains
And d
iIn, have only
A pair of when equating with the centre frequency of actual measurement low frequency signal
And d
iBe real, d at this moment
iBe desired damping factor, the centre frequency of actual measurement low frequency signal can draw by spectrum analyzer.Owing to adopt in the engineering logarithmic decrement to represent damping usually, thus can
And d
iTurn to logarithmic decrement δ, i.e. δ=d
j/
Online detection instrument of the present invention is made up of vibration transducer, characteristic signal extraction apparatus, signal picker, characteristic signal processor, power supply and shell, be characterized in that the characteristic signal extraction apparatus can adopt amplifier, the Active RC bandpass filter constitutes with the wave filter with precipitous frequency decay characteristics.Vibration transducer can adopt electromagnetic sensor or eddy current sensor.Signal picker can adopt modulus (A/D) converter to constitute.The characteristic signal processor can adopt universal microcomputer, single-chip microcomputer or dsp processor structure, takes the processing capacity of programming scheme realization to characteristic signal.
The present invention compared with prior art, it is fast and detect advantages such as reliable to have simple in structure, processing speed, it can carry out real-time analysis by online detection, is convenient to and advances diagnosis and fix a breakdown; The genset actual conditions detect owing to combine closely, and help reflecting the actual operating state of Turbo-generator Set, so that guarantee the safe operation of Turbo-generator Set.By measurement to the #6 bearing damp characteristic of homemade 200MW Turbo-generator Set, obtain the result and meet the conclusion of generally acknowledging on the engineering, under the situation of 3000 rev/mins and 3270 rev/mins, the logarithmic decrement of its bearing is 0.13 and 0.0786, and the logarithmic decrement analog value of generally acknowledging on the engineering is 0.1～0.2 and 0～0.1 scope.
Fig. 1 is the structural representation of present device; Fig. 2 is the circuit block diagram; Fig. 3 is a characteristic signal extraction apparatus electricity principle schematic.
Equipment of the present invention can adopt scheme shown in the drawings to realize.A kind of structure of portable set has 220V AC power jack as shown in Figure 1 on the shell of equipment, panel is provided with power switch C, pilot lamp D, keyboard E, frequency selection button F, display G and printer output hole H.Sensor among Fig. 2 (1) can adopt conventional electromagnetic sensor A or eddy-current transducer B; Amplifier (2) can be by ic chip
1, and resistance R
11, R
12, R
13Constitute; Active RC bandpass filter (3) can be by IC
2And IC
3, resistance R
11, R
12, R
13Constitute; Active RC bandpass filter (3) can be by IC
2And IC
3, resistance R
21～R
26, capacitor C
1And C
2Constitute IC
1, IC
2And IC
3Can adopt operational amplifiers such as LM324, μ A741 and LF356; Wave filter (4) with precipitous frequency attenuation characteristic can adopt the elliptic function filter in switching capacity filter or the active RC filter, for example adopts switching capacity filter integrated package MF10, and circuit as shown in Figure 3.According to the needs that difference requires, amplifier (2), Active RC bandpass filter (3) and the wave filter (4) with precipitous frequency attenuation characteristic can adopt single-stage or multistage polyphone formation respectively.Modulus (A/D) converter (5) can adopt the A/D plate, so as with the universal microcomputer coupling; For Single Chip Microcomputer (SCM) system, then can adopt the ADC0804 integrated package to constitute.The characteristic signal processor can adopt Single Chip Microcomputer (SCM) system, can be by the single-chip microcomputer 8031(6 of routine), external program memory EPROM(8), data memory RAM(7), general purpose I/O extended chip 8155(9), printer (10), LED charactron display (11) and keyboard (12) constitute.For fear of because of the sudden power lossing signal, equipment can be provided with conventional power-off protecting circuit (13).Active RC filter shown in Figure 3 works in the logical mode of band of particular centre frequency; Switching capacity filter can work in the logical mode of band of particular centre frequency or the low pass mode of particular cut-off frequency.For the characteristic signal of 19.8Hz, switching capacity filter works in the low pass mode, resistance and electric capacity desirable following numerical value: R
11=R
13=5.6K Ω, R
21=R
25=R
26=51K Ω, R
22=5K Ω, R
23=18K Ω, R
24=33K Ω, C
1=C
2=1 μ F; Variable resistor R
12=30K Ω, R
32=10K Ω, R
33=20K Ω.
Equipment of the present invention can adopt cordwood modular structure, and it can be made up of load module, primary module, Display And Keyboard module, printer module and power module.Load module is made of characteristic signal extraction apparatus and modulus (A/D) converter; Primary module is made of 8031 single-chip microcomputers, 2764EPROM, 6116RAM, 8155 extenders and necessary logical device etc.; The Display And Keyboard module is by 14 keys (10 numerical keys wherein, 4 function key: S are that display key, P are that printing key, R are reset key for beginning feeler switch, D), 7 LED charactrons (preceding 3 display frequencies, back 4 show logarithmic decrements), 75452 drivers and necessary formations such as logical device; Printer module constitutes (as GP-16) by intelligent mini-printer, directly links to each other with 8031; Power module is made of transformer, rectification circuit, mu balanced circuit and power extension circuit, its function be will input the 220V alternating current be converted to ± 12V ,+three groups of direct currents output of 5V.Except characteristic signal extraction apparatus needs ± 12V and+5V power supply. because present device can be taked the building module structure, thereby make compact conformation, volume little, be convenient to debugging and safeguard.
Claims (7)
1, a kind of online detection method that is used to detect turbine generator bearing damp is characterized in that it is realized by following steps;
(1). adopt eddy current sensor or electromagnetic sensor to gather vibration signal;
(2). employing characteristic signal extraction apparatus obtains the low frequency component in the vibration signal;
(3). analog signal conversion is become digital signal;
(4). employing is protected exhibition Pu Luoni (Prong) method and is carried out the characteristic signal processing, the characteristics of low-frequency signal of actual measurement is changed into the bearing damp factor and the low frequency frequency of reflection bearing damp characteristic;
(5). adopt display display process result or printer prints to go out result.
2, the online detection method of turbine generator bearing damp according to claim 1, it is characterized in that characteristic signal extracts employing and carries out the signal amplification by amplifier, use the Active RC band-pass filter again, go out the characteristics of low-frequency signal with high-precision filter filtering then.
3, the online detection method of turbine generator bearing damp according to claim 1 and 2 is characterized in that characteristic signal is handled to take to set up the autoregression difference equation by measured signal, obtains autoregressive coefficient; With polynomial expression of autoregressive coefficient structure, try to achieve polynomial characteristic root with quadratic factor algorithm; Relation according to characteristic root and damping factor and low frequency frequency is obtained damping factor and low frequency frequency; Reject false value, export correct result.
4, a kind of online detection instrument that is used to detect turbine generator bearing damp, form by vibration transducer, characteristic signal extraction apparatus, signal picker, characteristic signal processor, power supply and shell, it is characterized in that the wave filter that the characteristic signal extraction apparatus adopts amplifier, Active RC bandpass filter and has a precipitous frequency attenuation characteristic constitutes.
5, turbine generator bearing damp online detection instrument according to claim 4 is characterized in that the wave filter with precipitous frequency attenuation characteristic adopts switching capacity filter.
6,, it is characterized in that the characteristic signal processor is made of 8031 single-chip microcomputers, EPROM, RAM, general purpose I/O extended chip 8155, printer, LED charactron display and keyboard according to claim 4 or 5 described turbine generator bearing damp online detection instruments.
7, turbine generator bearing damp online detection instrument according to claim 6 is characterized in that adopting cordwood modular structure, is made up of load module, primary module, Display And Keyboard module, print module and power module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 94111275 CN1056231C (en) | 1994-03-22 | 1994-03-22 | Method and apparatus for inline measuring turbine generator bearing damp |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 94111275 CN1056231C (en) | 1994-03-22 | 1994-03-22 | Method and apparatus for inline measuring turbine generator bearing damp |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1109166A true CN1109166A (en) | 1995-09-27 |
| CN1056231C CN1056231C (en) | 2000-09-06 |
Family
ID=5035163
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 94111275 Expired - Fee Related CN1056231C (en) | 1994-03-22 | 1994-03-22 | Method and apparatus for inline measuring turbine generator bearing damp |
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| Country | Link |
|---|---|
| CN (1) | CN1056231C (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102087140A (en) * | 2010-11-24 | 2011-06-08 | 华北电力大学 | Method for analyzing stability of low-frequency vibration main peak frequency of turbo generator set |
| CN102175306A (en) * | 2011-01-24 | 2011-09-07 | 华北电力大学 | Method for identifying oil whipping fault of steam turbine generator unit in real-time |
| CN102991492A (en) * | 2012-12-10 | 2013-03-27 | 荣成华泰汽车有限公司 | Vehicle active-braking system and method |
| CN109787062A (en) * | 2019-01-25 | 2019-05-21 | 余姚市安瑞电器有限公司 | It is a kind of that crotch system is rushed based on production commutator |
-
1994
- 1994-03-22 CN CN 94111275 patent/CN1056231C/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102087140A (en) * | 2010-11-24 | 2011-06-08 | 华北电力大学 | Method for analyzing stability of low-frequency vibration main peak frequency of turbo generator set |
| CN102087140B (en) * | 2010-11-24 | 2012-07-25 | 华北电力大学 | Method for analyzing stability of low-frequency vibration main peak frequency of turbo generator set |
| CN102175306A (en) * | 2011-01-24 | 2011-09-07 | 华北电力大学 | Method for identifying oil whipping fault of steam turbine generator unit in real-time |
| CN102991492A (en) * | 2012-12-10 | 2013-03-27 | 荣成华泰汽车有限公司 | Vehicle active-braking system and method |
| CN102991492B (en) * | 2012-12-10 | 2015-08-12 | 荣成华泰汽车有限公司 | Vehicle is brake system and method initiatively |
| CN109787062A (en) * | 2019-01-25 | 2019-05-21 | 余姚市安瑞电器有限公司 | It is a kind of that crotch system is rushed based on production commutator |
Also Published As
| Publication number | Publication date |
|---|---|
| CN1056231C (en) | 2000-09-06 |
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