CN106704080B - The diagnostic method of thrust head of water turbine power generating set looseness fault based on online data - Google Patents
The diagnostic method of thrust head of water turbine power generating set looseness fault based on online data Download PDFInfo
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- CN106704080B CN106704080B CN201710004603.2A CN201710004603A CN106704080B CN 106704080 B CN106704080 B CN 106704080B CN 201710004603 A CN201710004603 A CN 201710004603A CN 106704080 B CN106704080 B CN 106704080B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03B—MACHINES OR ENGINES FOR LIQUIDS
- F03B11/00—Parts or details not provided for in, or of interest apart from, the preceding groups, e.g. wear-protection couplings, between turbine and generator
- F03B11/008—Measuring or testing arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/80—Diagnostics
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/20—Hydro energy
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Hydraulic Turbines (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The diagnostic method of the invention discloses a kind of thrust head of water turbine power generating set looseness fault based on online data; 1) it is the following steps are included: record data, throw, the 1X component value of radial vibration and the phase of 1X component that unit is swung during acquisition normal boot-strap, shutdown and varying duty by on-line monitoring；2) it calculates one by one: throw, peak-to-peak value, 1X component value, 1X component phase, the peak-to-peak value oscillating quantity of radial vibration, 1X component value oscillating quantity and the phase swinging amount of radial vibration of unit swing；3) the maximum variable quantity and full swing amount of above-mentioned parameter during start process, stopping process, varying duty is calculated；4) above-mentioned value is compared with preset value respectively, whether there is unit thrust collar looseness fault according to comparison result diagnosis.The present invention can choose the related data of thrust collar loosening automatically, be automatically analyzed and Statistic analysis, and provide assay diagnostic result.
Description
Technical field
The present invention relates to a kind of Fault Diagnosis of Hydroelectric Generating Set methods.It is more particularly related to which one kind is based on
The diagnostic method of the thrust head of water turbine power generating set looseness fault of online data.
Background technique
The thrust collar loosening of turbine-generator units refers to that there are gaps between thrust collar inner hole and axle journal.When thrust collar loosens,
The characteristics of unit vibration, throw are as follows: suddenly change, the vibration of unit, throw can occur for dynamical axis posture when unit is run
It is suddenly big or suddenly small, it is in unstable state.Moreover, thrust collar loosening also can bring difficulty to turning gear of unit.
But at present most of monitoring diagnosis systems all concentrate on the monitorings of steam turbine and other rotating machineries with
Fault diagnosis, the application for Hydropower Unit are seldom.This does not have the safe operation of unit mainly due to Hydropower Unit revolving speed is low
Enough attention are given, so that the research of Hydropower Unit on-line monitoring and fault diagonosing technology lags behind other (large size) whirlers
Tool.The analyzing and diagnosing of turbine-generator units is needed by being monitored analysis to online real time data, several by manually choosing
Characteristic parameter, hand drawn go out the characteristic curves such as the tendency chart of characteristic parameter, pertinent trends figure, manually count to quantization parameter
It calculates, and addition report etc. manually.The both not supports of mathematical model of this diagnostic mode, also not no algorithm is accurate, not only unrestrained
Take manpower, time, while haveing the defects that in the objectivity of data decimation and the accuracy of data certain, system is divided
Analysing diagnostic result, there is also certain errors.
Summary of the invention
It is an object of the invention to solve at least the above problems, and provide the advantages of at least will be described later.
It is a still further object of the present invention to provide a kind of thrust head of water turbine power generating set looseness fault based on online data
Diagnostic method, the related data of thrust collar loosening can be chosen automatically, automatically analyzed and Statistic analysis, and provided point
Analysis evaluation diagnostic result.Entire analytic process system can be automatically performed without manual operation.
In order to realize these purposes and other advantages according to the present invention, a kind of water wheels hair based on online data is provided
The diagnostic method of motor group thrust collar looseness fault.The study found that thrust collar loosens the mutation that can bring axis posture, unit pendulum
Degree, the mutation vibrated, especially at the time of load of thrust bearing thereof changes, such as booting boosting velocity procedure, varying duty process, tool
Body surface now in above-mentioned change procedure unit throw, radial vibration measured value can mutate, and the phase of 1X component
It can mutate.This is characterized in one of thrust collar loosening and other failure main distinctions.Therefore the present invention loosens thrust collar
The identification of failure is also mainly completed by 1X measured value to throw, radial vibration and the phase mutation analysis that swings back and forth.The present invention
The diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data the following steps are included:
1) data, unit during acquisition normal boot-strap process, stopping process and varying duty are recorded by on-line monitoring
The data record of swing, the data record include the phase of throw, the 1X component value of radial vibration and 1X component；
2) it is calculated one by one according to data record: peak-to-peak value, the 1X component value, 1X points of throw, radial vibration that unit is swung
Measure phase, the peak-to-peak value oscillating quantity of radial vibration, 1X component value oscillating quantity and 1X component phase oscillating quantity；
3) relevant parameter that unit is swung during normal boot-strap, shutdown and the varying duty obtained according to step 2, calculates
Obtain peak-to-peak value maximum variable quantity, the 1X component of the radial vibration that unit is swung during start process, stopping process, varying duty
Maximum variable quantity, 1X phase maximum variable quantity, the peak-to-peak value full swing amount of radial vibration, 1X component value full swing amount, 1X
Full swing amount of the phase in 2min；
4) peak-to-peak value maximum variable quantity, the 1X component maximum variable quantity, 1X phase of the radial vibration obtained by step 3
Maximum variable quantity, the peak-to-peak value full swing amount of radial vibration, 1X component value full swing amount and 1X phase are in 2min
Full swing amount is compared with preset value respectively, whether there is unit thrust collar looseness fault according to comparison result diagnosis.
Preferably, data record used is the number of 30% generator rated speed or more when calculating in the step 2)
According to record.
Preferably, in the step 4), peak-to-peak value maximum variable quantity, the 1X component of the radial vibration for selecting unit to swing
Maximum variable quantity, 1X phase maximum variable quantity are compared with preset value respectively, diagnose unit pusher head pine according to comparison result
Dynamic failure.
Preferably, in the step 4), the comparison includes:
Wherein,It is the peak-to-peak value of the smallest patient throw or the peak-to-peak value of frame vibration in overall process
Change lower magnitude limits.
Preferably, in the step 4), the comparison includes:
Wherein,Change width in overall process for the 1X value of the smallest patient throw or the 1X value of frame vibration
It is worth lower limit.
Preferably, in the step 4), the comparison includes:
Wherein,Become for the smallest patient throw 1X phase or the 1X phase of frame vibration in overall process
Change lower magnitude limits.
Preferably, in the step 4), the comparison includes:
Wherein,It is the peak-to-peak value of the smallest patient throw or the peak-to-peak value of frame vibration in overall process
Full swing amount lower limit.
Preferably, in the step 4), the comparison includes:
Wherein,It is most put on for the 1X value of the smallest patient throw or the 1X value of frame vibration in overall process
Momentum lower limit.
Preferably, in the step 4), the comparison includes:
Wherein,It is the 1X phase of the smallest patient throw or the 1X phase of frame vibration in full mistake
Journey full swing amount lower limit.
Preferably, the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data, including
Following steps:
1) data, unit during acquisition normal boot-strap process, stopping process and varying duty are recorded by on-line monitoring
The data record of swing, the data record include the phase of throw, the 1X component value of radial vibration and 1X component；
2) data record according to generating unit speed more than 30% rated speed calculates one by one: the throw of unit swing, diameter
To the peak-to-peak value of vibration, 1X component value, 1X component phase, the peak-to-peak value oscillating quantity of radial vibration, 1X component value oscillating quantity and 1X
Component phase oscillating quantity；The data record does not include 30% generator rated speed data record below；
3) relevant parameter that unit is swung during normal boot-strap, shutdown and the varying duty obtained according to step 2, calculates
Obtain peak-to-peak value maximum variable quantity, the 1X component of the radial vibration that unit is swung during start process, stopping process, varying duty
Maximum variable quantity, 1X phase maximum variable quantity, the peak-to-peak value full swing amount of radial vibration, 1X component value full swing amount, 1X
Full swing amount of the phase in 2min；
4) peak-to-peak value maximum variable quantity, the 1X component maximum variable quantity, 1X phase of the radial vibration obtained by step 3
Maximum variable quantity is compared with preset value respectively, whether there is unit thrust collar looseness fault according to comparison result diagnosis.
5) production is reported and shows report content, and report can be automatically converted to the formats such as WORD, PDF, JPG.
The present invention is include at least the following beneficial effects: the thrust head of water turbine power generating set of the present invention based on online data
The diagnostic method revolving speed of looseness fault reaches data when 30% or more, can exclude throw, vibration mutation caused by other reasons.
The method of the invention has following characteristics:
(1) easily operated.User of service is without being configured, selecting the complex operations such as data, using " one-key operation " formula
Software operation.
(2) data selection, calculating, decision process automation.It all garbled datas and is calculated according to failure or defect model
Process, analysis ratiocination, judgement process completed by computer, without interactive operation among operator.
(3) specific analyzing and diagnosing conclusion is provided in report and possible maintenance is suggested.
(4) user interface is output in the form of report.
Further advantage, target and feature of the invention will be partially reflected by the following instructions, and part will also be by this
The research and practice of invention and be understood by the person skilled in the art.
Detailed description of the invention
Fig. 1 is the stream of the diagnostic method of the thrust head of water turbine power generating set looseness fault of the present invention based on online data
Journey schematic diagram.
Specific embodiment
Present invention will be described in further detail below with reference to the accompanying drawings, to enable those skilled in the art referring to specification text
Word can be implemented accordingly.
It should be appreciated that such as " having ", "comprising" and " comprising " term used herein are not precluded one or more
The presence or addition of a other elements or combinations thereof.
As shown in Figure 1, the present invention provides a kind of examining for thrust head of water turbine power generating set looseness fault based on online data
Disconnected method, comprising the following steps:
1) data, unit during acquisition normal boot-strap process, stopping process and varying duty are recorded by on-line monitoring
The data record of swing, the data record include the phase of throw, the 1X component value of radial vibration and 1X component；
2) it is calculated one by one according to data record: peak-to-peak value, the 1X component value, 1X points of throw, radial vibration that unit is swung
Measure phase, the peak-to-peak value oscillating quantity of radial vibration, 1X component value oscillating quantity and 1X component phase oscillating quantity；Number used when calculating
According to the data record for being recorded as 30% rated speed or more.Under this revolving speed, guide bearing oil film has been formed, and can exclude other reasons
Caused by throw, vibration mutation.
3) relevant parameter that unit is swung during normal boot-strap, shutdown and the varying duty obtained according to step 2, calculates
Obtain peak-to-peak value maximum variable quantity, the 1X component of the radial vibration that unit is swung during start process, stopping process, varying duty
Maximum variable quantity, 1X phase maximum variable quantity, the peak-to-peak value full swing amount of radial vibration, 1X component value full swing amount, 1X
Full swing amount of the phase in 2min；
4) peak-to-peak value maximum variable quantity, the 1X component maximum variable quantity, 1X phase of the radial vibration obtained by step 3
Maximum variable quantity, the peak-to-peak value full swing amount of radial vibration, 1X component value full swing amount and 1X phase are in 2min
Full swing amount is compared with preset value respectively, whether there is unit thrust collar looseness fault according to comparison result diagnosis.Institute
Stating comparison includes:
Wherein,It is the peak-to-peak value of the smallest patient throw or the peak-to-peak value of frame vibration in overall process
Change lower magnitude limits, generally selects 0.4 to 0.8 times of related national standard operational shock amplitude.
It is the 1X value of the smallest patient throw or the 1X value of frame vibration in the case where overall process changes amplitude
Limit generally selects 0.4 to 0.8 times of related national standard operational shock amplitude.
Change for the 1X phase of the smallest patient throw or the 1X phase of frame vibration in overall process
Lower magnitude limits generally select
It is the peak-to-peak value of the smallest patient throw or the peak-to-peak value of frame vibration in overall process maximum
Oscillating quantity lower limit generally selects 0.3 times to 0.6 times related national standard operational shock amplitude.
It is the 1X value of the smallest patient throw or the 1X value of frame vibration under overall process full swing amount
Limit generally selects 0.3 times to 0.6 times related national standard operational shock amplitude.
It is the 1X phase of the smallest patient throw or the 1X phase of frame vibration in overall process maximum
Oscillating quantity lower limit, generally selects,
The diagnosis of the thrust head of water turbine power generating set looseness fault based on online data in one of the embodiments,
Method, comprising the following steps:
1) data, unit during acquisition normal boot-strap process, stopping process and varying duty are recorded by on-line monitoring
The data record of swing, the data record include the phase of throw, the 1X component value of radial vibration and 1X component；
2) it is calculated one by one according to data record of the generating unit speed more than 30% generator rated speed: the pendulum that unit is swung
Degree, the peak-to-peak value of radial vibration, 1X component value, 1X component phase, the peak-to-peak value oscillating quantity of radial vibration, 1X component value oscillating quantity
With 1X component phase oscillating quantity；The data record does not include 30% generator rated speed data record below；
3) relevant parameter that unit is swung during normal boot-strap, shutdown and the varying duty obtained according to step 2, calculates
Obtain peak-to-peak value maximum variable quantity, the 1X component of the radial vibration that unit is swung during start process, stopping process, varying duty
Maximum variable quantity, 1X phase maximum variable quantity, the peak-to-peak value full swing amount of radial vibration, 1X component value full swing amount, 1X
Full swing amount of the phase in 2min；
4) peak-to-peak value maximum variable quantity, the 1X component maximum variable quantity, 1X phase of the radial vibration obtained by step 3
Maximum variable quantity is compared with preset value respectively, whether there is unit thrust collar looseness fault according to comparison result diagnosis.?
During actual, often through be switched on, shut down under practical normal condition, the maximum variable quantity of varying duty process determines,
To avoid erroneous judgement.Wherein, described compare includes:
Wherein,It is the peak-to-peak value of the smallest patient throw or the peak-to-peak value of frame vibration in overall process
Change lower magnitude limits.
It is the 1X value of the smallest patient throw or the 1X value of frame vibration in the case where overall process changes amplitude
Limit.
Change for the 1X phase of the smallest patient throw or the 1X phase of frame vibration in overall process
Lower magnitude limits.
5) diagnostic result is output to user interface in the form reported, report can be automatically converted to WORD format.
Although the embodiments of the present invention have been disclosed as above, but its is not only in the description and the implementation listed
With it can be fully applied to various fields suitable for the present invention, for those skilled in the art, can be easily
Realize other modification, therefore without departing from the general concept defined in the claims and the equivalent scope, the present invention is simultaneously unlimited
In specific details and legend shown and described herein.
Claims (10)
1. a kind of diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data, which is characterized in that including
Following steps:
1) data are recorded by on-line monitoring, unit is swung during acquisition normal boot-strap process, stopping process and varying duty
Data record, the data record includes the phase of throw, the 1X component value of radial vibration and 1X component；
2) it is calculated one by one according to data record: the throw of unit swing, the peak-to-peak value of radial vibration, 1X component value, 1X component phase
Position, the peak-to-peak value oscillating quantity of radial vibration, 1X component value oscillating quantity and 1X component phase oscillating quantity；
3) relevant parameter that unit is swung during normal boot-strap, shutdown and the varying duty obtained according to step 2, is calculated
Peak-to-peak value maximum variable quantity, the 1X component for the radial vibration that unit is swung during start process, stopping process, varying duty are maximum
Variable quantity, 1X phase maximum variable quantity, the peak-to-peak value full swing amount of radial vibration, 1X component value full swing amount, 1X phase
Full swing amount in 2min；
4) the peak-to-peak value maximum variable quantity, 1X component maximum variable quantity of the radial vibration obtained by step 3,1X phase are maximum
Variable quantity, radial vibration maximum in 2min of peak-to-peak value full swing amount, 1X component value full swing amount and 1X phase
Oscillating quantity is compared with preset value respectively, whether there is unit thrust collar looseness fault according to comparison result diagnosis.
2. the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data as described in claim 1,
It is characterized in that, data note more than the generator rated speed that data record used is 30% when calculating in the step 2)
Record.
3. the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data as described in claim 1,
It is characterized in that, in the step 4), the peak-to-peak value maximum variable quantity for the radial vibration for selecting unit to swing, the variation of 1X component maximum
Amount, 1X phase maximum variable quantity are compared with preset value respectively, diagnose unit pusher head looseness fault according to comparison result.
4. the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data as described in claim 1,
It is characterized in that, in the step 4), the comparison includes:
Wherein,Change for the peak-to-peak value of the smallest patient throw or the peak-to-peak value of frame vibration in overall process
Lower magnitude limits.
5. the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data as claimed in claim 4,
It is characterized in that, in the step 4), the comparison includes:
Wherein,It is the 1X value of the smallest patient throw or the 1X value of frame vibration in the case where overall process changes amplitude
Limit.
6. the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data as claimed in claim 5,
It is characterized in that, in the step 4), the comparison includes:
Wherein,Change for the 1X phase of the smallest patient throw or the 1X phase of frame vibration in overall process
Lower magnitude limits.
7. the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data as claimed in claim 6,
It is characterized in that, in the step 4), the comparison includes:
Wherein,It is the peak-to-peak value of the smallest patient throw or the peak-to-peak value of frame vibration in overall process maximum
Oscillating quantity lower limit.
8. the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data as claimed in claim 7,
It is characterized in that, in the step 4), the comparison includes:
Wherein,It is the 1X value of the smallest patient throw or the 1X value of frame vibration in overall process full swing amount
Lower limit.
9. the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data as claimed in claim 8,
It is characterized in that, in the step 4), the comparison includes:
Wherein,For the smallest patient throw 1X phase or frame vibration 1X phase overall process most
Big oscillating quantity lower limit.
10. the diagnostic method of the thrust head of water turbine power generating set looseness fault based on online data as described in claim 1,
It is characterized in that, comprising the following steps:
1) data are recorded by on-line monitoring, unit is swung during acquisition normal boot-strap process, stopping process and varying duty
Data record, the data record includes the phase of throw, the 1X component value of radial vibration and 1X component；
2) it is calculated one by one according to data record of the generating unit speed more than 30% generator rated speed: the throw of unit swing,
The peak-to-peak value of radial vibration, 1X component value, 1X component phase, the peak-to-peak value oscillating quantity of radial vibration, 1X component value oscillating quantity and
1X component phase oscillating quantity；The data record does not include 30% generator rated speed data record below；
3) relevant parameter that unit is swung during normal boot-strap, shutdown and the varying duty obtained according to step 2, is calculated
Peak-to-peak value maximum variable quantity, the 1X component for the radial vibration that unit is swung during start process, stopping process, varying duty are maximum
Variable quantity, 1X phase maximum variable quantity, the peak-to-peak value full swing amount of radial vibration, 1X component value full swing amount, 1X phase
Full swing amount in 2min；
4) the peak-to-peak value maximum variable quantity, 1X component maximum variable quantity of the radial vibration obtained by step 3,1X phase are maximum
Variable quantity is compared with preset value respectively, whether there is unit thrust collar looseness fault according to comparison result diagnosis.
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| CN110454312B (en) * | 2019-08-12 | 2020-09-01 | 哈尔滨电机厂有限责任公司 | Online monitoring test method for water thrust of large mixed-flow hydraulic generator |
| CN111486043A (en) * | 2020-04-24 | 2020-08-04 | 华能四川水电有限公司 | Lower rack fault diagnosis method based on hydro-turbo generator set runout data |
| CN113295412B (en) * | 2021-05-26 | 2022-10-11 | 华能澜沧江水电股份有限公司 | Method for detecting cause of unbalanced stress of guide bearing of vertical water turbine generator set |
| CN113217257B (en) * | 2021-06-10 | 2022-10-11 | 华能澜沧江水电股份有限公司 | Method for detecting hydraulic imbalance fault of water turbine |
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| CN103744006B (en) * | 2014-01-07 | 2016-03-23 | 海南金海浆纸业有限公司 | High voltage electric equipment inside loosens the shelf depreciation positioning diagnosticing method produced |
| CN103793601A (en) * | 2014-01-20 | 2014-05-14 | 广东电网公司电力科学研究院 | Turbine set online fault early warning method based on abnormality searching and combination forecasting |
| CN204493079U (en) * | 2015-02-11 | 2015-07-22 | 赤峰华源新力科技有限公司 | The connecting bolt of Wind turbines loosens monitoring system |
| CN104614775A (en) * | 2015-02-25 | 2015-05-13 | 云南酷联科技有限公司 | Bolt looseness on-line monitoring device |
| CN106199397A (en) * | 2015-04-29 | 2016-12-07 | 国家电网公司 | A kind of load ratio bridging switch mechanical breakdown on-line monitoring method |
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Effective date of registration: 20211125 Address after: 100085 room D01, ground floor, building 18, No.7 shangdixinxi Road, Haidian District, Beijing Patentee after: BEIJING ZHONGYUAN RUIXUN SCIENCE & TECHNOLOGY CO.,LTD. Patentee after: Jilin Baishan power plant of Songhuajiang hydropower Co., Ltd Address before: 100085 room D01, ground floor, building 18, No.7 shangdixinxi Road, Haidian District, Beijing Patentee before: BEIJING ZHONGYUAN RUIXUN SCIENCE & TECHNOLOGY CO.,LTD. |