CN103728134B - The detection method of unit bearing and device and wind-powered electricity generation unit - Google Patents
The detection method of unit bearing and device and wind-powered electricity generation unit Download PDFInfo
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- CN103728134B CN103728134B CN201210393567.0A CN201210393567A CN103728134B CN 103728134 B CN103728134 B CN 103728134B CN 201210393567 A CN201210393567 A CN 201210393567A CN 103728134 B CN103728134 B CN 103728134B
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Abstract
The invention discloses a kind of detection method and device and wind-powered electricity generation unit of unit bearing. Wherein, the detection method of unit bearing comprises: gather the vibration data of clutch shaft bearing, wherein, clutch shaft bearing is the arbitrary bearing in wind-powered electricity generation unit; Vibration data is carried out to data processing, obtain the frequency spectrum data that vibration data is corresponding; Whether the historical spectrum data that judge frequency spectrum data and clutch shaft bearing match, and wherein, store the historical spectrum data of clutch shaft bearing in wind-powered electricity generation unit; In the time that the historical spectrum data of judging frequency spectrum data and clutch shaft bearing match, determine clutch shaft bearing fault-free of living in; And in the time that the historical spectrum data of judging frequency spectrum data and clutch shaft bearing do not match, determine that clutch shaft bearing of living in breaks down. By the present invention, solve the inefficient problem of fault detection method of unit bearing in prior art, and then reached the sense cycle of shortening unit, the effect of raising unit detection efficiency.
Description
Technical field
The present invention relates to wind power generation field, in particular to a kind of detection method and device and wind of unit bearingGroup of motors.
Background technology
The status monitoring of current wind-powered electricity generation unit is all according to the vibration data of the bearing collecting, use instrument or clientVibration data is carried out Fast Fourier Transform (FFT) (FastFourierTransform is called for short FFT) or envelope by end programDeng Spectrum Conversion, the data after conversion are carried out to waveform demonstration, artificial analyzing in the oscillogram showing, logicalCross people for judging whether the frequency that breaks down, the methods such as the frequency multiplication of the frequency that whether breaks down judge the corresponding of this unitThe failure condition of measuring point bearing.
This traditional method wastes time and energy, and to a unit, a people can have the sufficient time to analyze, but asFruit 66 units of a wind field or more unit, be just difficult in short-term by a people's strength the analysis of whole wind fieldIn the state of all units is all analyzed out.
For the inefficient problem of fault detection method of unit bearing in correlation technique, not yet propose at present effectively to separateCertainly scheme.
Summary of the invention
Main purpose of the present invention is to provide a kind of detection method and device and wind-powered electricity generation unit of unit bearing, to solveThe inefficient problem of the fault detection method of unit bearing in prior art.
To achieve these goals, according to an aspect of the present invention, provide a kind of detection method of unit bearing,Comprise: gather the vibration data of clutch shaft bearing, wherein, clutch shaft bearing is the arbitrary bearing in unit; To vibration dataCarry out data processing, obtain the frequency spectrum data that vibration data is corresponding; Judge the historical spectrum of frequency spectrum data and clutch shaft bearingWhether data match, and wherein, store the historical spectrum data of clutch shaft bearing in unit; Judging frequency spectrum dataWhile matching with the historical spectrum data of clutch shaft bearing, determine clutch shaft bearing fault-free; And judge frequency spectrum data withWhen the historical spectrum data of clutch shaft bearing do not match, determine that clutch shaft bearing breaks down.
Whether the historical spectrum data that further, judge frequency spectrum data and clutch shaft bearing match and comprise: from present countAccording to the defect frequency value of searching clutch shaft bearing in storehouse, wherein, in presetting database, store each bearing in unitDefect frequency value; Obtain the first amplitude, wherein, the first amplitude is that the defect frequency value finding is right in frequency spectrum dataThe amplitude of answering; Obtain the second amplitude, wherein, the second amplitude is that the defect frequency value that finds is in historical spectrum dataCorresponding amplitude; And judge whether the first amplitude and the second amplitude match, wherein, judging the first amplitude and theWhen two amplitudes match, determine clutch shaft bearing fault-free; And in the time judging that the first amplitude and the second amplitude do not match,Determine that clutch shaft bearing breaks down.
Further, historical spectrum data comprise many group historical spectrum data, and wherein, the second amplitude is lacking of findingFall into the mean value of frequency values equal corresponding amplitude in each group historical spectrum data.
Further, judging whether the first amplitude and the second amplitude match comprises: calculate the first amplitude and the second amplitudeThe absolute value of difference; The relatively size of absolute value and preset value; In the time comparing absolute value and be greater than preset value, judgeThe first amplitude and the second amplitude do not match; And in the time comparing absolute value and be less than or equal to preset value, judge firstAmplitude and the second amplitude match.
Further, vibration data being carried out to data processing comprises: vibration data is carried out to Spectrum Conversion.
To achieve these goals, according to a further aspect in the invention, provide a kind of checkout gear of unit bearing,Comprise: collecting unit, for gathering the vibration data of clutch shaft bearing, wherein, clutch shaft bearing is the arbitrary axle in unitHold; Processing unit, for vibration data is carried out to data processing, obtains the frequency spectrum data that vibration data is corresponding; AndWhether judging unit, match for the historical spectrum data that judge frequency spectrum data and clutch shaft bearing, wherein, and at unitIn store the historical spectrum data of clutch shaft bearing; The first determining unit, for judging frequency spectrum data and clutch shaft bearingHistorical spectrum data while matching, determine clutch shaft bearing fault-free; And second determining unit, for judging frequentlyWhen the historical spectrum data of spectrum data and clutch shaft bearing do not match, determine that clutch shaft bearing breaks down.
Further, judging unit comprises: search subelement, for search lacking of clutch shaft bearing from presetting databaseFall into frequency values, wherein, in presetting database, store the defect frequency value of each bearing in unit; First obtains sonUnit, for obtaining the first amplitude, wherein, the first amplitude is that the defect frequency value finding is corresponding in frequency spectrum dataAmplitude; Second obtains subelement, and for obtaining the second amplitude, wherein, the second amplitude is the defect frequency findingThe amplitude of value correspondence in historical spectrum data; And judgment sub-unit, for judging that the first amplitude and the second amplitude areNo matching, wherein, in the time judging that the first amplitude and the second amplitude match, determines clutch shaft bearing fault-free; AndIn the time judging that the first amplitude and the second amplitude do not match, determine that clutch shaft bearing breaks down.
Further, judgment sub-unit comprises: computing module, and for calculating the difference of the first amplitude and the second amplitudeAbsolute value; Comparison module, for comparing the size of absolute value and preset value; The first determination module, for comparingWhen absolute value is greater than preset value, judge that the first amplitude and the second amplitude do not match; And second determination module, forIn the time comparing absolute value and be less than or equal to preset value, judge that the first amplitude and the second amplitude match.
Further, processing unit comprises: Spectrum Conversion subelement, and for vibration data is carried out to Spectrum Conversion.
To achieve these goals, according to a further aspect in the invention, provide a kind of wind-powered electricity generation unit, comprised the present inventionThe checkout gear of any unit bearing that foregoing provides.
By the present invention, adopt the vibration data that gathers clutch shaft bearing, wherein, clutch shaft bearing is appointing in wind-powered electricity generation unitOne bearing; Vibration data is carried out to data processing, obtain the frequency spectrum data that vibration data is corresponding; Judge frequency spectrum data withWhether the historical spectrum data of clutch shaft bearing match, and wherein, store the frequently historical of clutch shaft bearing in wind-powered electricity generation unitSpectrum data; In the time that the historical spectrum data of judging frequency spectrum data and clutch shaft bearing match, determine clutch shaft bearing of living in withoutFault; And in the time that the historical spectrum data of judging frequency spectrum data and clutch shaft bearing do not match, determine the first axle of living inHold and break down. By the frequency spectrum data of certain bearing after acquisition process and its historical spectrum data are contrasted,Judge the two and whether match, and then determine based on judged result whether this bearing exists fault, this kind based onThe method that historical data is analyzed can be contrasted automatically by system, without artificial participation, has solved existingThe inefficient problem of the fault detection method of unit bearing in technology, so reached shorten unit sense cycle, carryThe effect of high unit detection efficiency.
Brief description of the drawings
The accompanying drawing that forms the application's a part is used to provide a further understanding of the present invention, schematic reality of the present inventionExecute example and explanation thereof for explaining the present invention, do not form inappropriate limitation of the present invention. In the accompanying drawings:
Fig. 1 is according to the schematic diagram of the checkout gear of the unit bearing of the embodiment of the present invention;
Fig. 2 is according to the flow chart of the detection method of the unit bearing of the embodiment of the present invention; And
Fig. 3 is the flow chart of the detection method of unit bearing according to the preferred embodiment of the invention.
Detailed description of the invention
It should be noted that, in the situation that not conflicting, the feature in embodiment and embodiment in the application can phaseCombination mutually. Describe below with reference to the accompanying drawings and in conjunction with the embodiments the present invention in detail.
The embodiment of the present invention provides a kind of checkout gear of unit bearing, and the checkout gear of this unit bearing can be appliedOn wind-powered electricity generation unit, also can be applied on miscellaneous equipment unit, below taking the bearing of wind-powered electricity generation unit is detected asExample illustrates the checkout gear of the unit bearing that the embodiment of the present invention provides:
Fig. 1 is according to the schematic diagram of the checkout gear of the unit bearing of the embodiment of the present invention, as shown in Figure 1, and this enforcementThe checkout gear of example comprises collecting unit 10, processing unit 20, judging unit 30, the first determining unit 40 and secondDetermining unit 50.
Particularly, collecting unit 10 is for gathering the vibration of certain bearing of wind-powered electricity generation unit (hereinafter referred to as clutch shaft bearing)Data; Processing unit 20 is connected with collecting unit 10, carries out for the vibration data that collecting unit 10 is collectedProcess, obtain the frequency spectrum data that vibration data is corresponding; Judging unit 30 is connected with processing unit 20, for judgementWhether the historical spectrum data of the frequency spectrum data that processing unit processes obtains and clutch shaft bearing match, wherein, and at wind-powered electricity generationIn unit, store the historical spectrum data of clutch shaft bearing; The first determining unit 40 and the second determining unit 50 all with sentenceDisconnected unit 30 is connected, and the historical spectrum data of judging frequency spectrum data and clutch shaft bearing when judging unit 30 matchTime, the first determining unit 40 is determined clutch shaft bearing fault-free, when judging unit 30 is judged frequency spectrum data and the first axleWhen the historical spectrum data of holding do not match, the second determining unit 50 determines that clutch shaft bearing breaks down.
The checkout gear of the embodiment of the present invention by judging unit by the frequency spectrum data of certain bearing after acquisition process and itsWhether historical spectrum data contrast, judge the two and match, and then determine this bearing based on judged resultWhether have fault, this kind utilizes judging unit with the historical data device that references object is analyzed as a comparison,Without artificial participation, solve the inefficient problem of fault detection method of prior art apoplexy group of motors bearing, and thenReach and shortened the sense cycle of wind-powered electricity generation unit, the effect of raising wind-powered electricity generation unit detection efficiency.
Wherein, processing unit 20 comprises Spectrum Conversion subelement, for vibration data is carried out to Spectrum Conversion, particularly,Spectrum Conversion subelement can be Fast Fourier Transform (FFT) subelement, can be also envelope varitron unit.
Further, judging unit 30 is carry out can be by looking into when frequency spectrum data and historical spectrum Data Comparison are judgedLook for subelement, first to obtain that subelement, second obtains subelement and judgment sub-unit is carried out, particularly, search son singleThe defect frequency value of unit for searching clutch shaft bearing from the presetting database of wind-powered electricity generation unit, wherein, in presetting databaseIn store the defect frequency value of each bearing in wind-powered electricity generation unit, this presetting database can be wind turbine group bearing thereforeThe ATL of barrier frequency, comprising outer ring defect frequency (BPFO) and the inner ring defect frequency (BPFI) of bearingDeng; First obtains subelement for obtaining the first amplitude, and wherein, the first amplitude is that the defect frequency value that finds is frequentlyCorresponding amplitude in spectrum data; Second obtains subelement for obtaining the second amplitude, and wherein, the second amplitude is for findingDefect frequency value corresponding amplitude in historical spectrum data; Judgment sub-unit, for judging the first amplitude and secondWhether amplitude matches, and wherein, in the time judging that the first amplitude and the second amplitude match, determines clutch shaft bearing fault-free;And in the time judging that the first amplitude and the second amplitude do not match, determine that clutch shaft bearing breaks down.
Further, judgment sub-unit can be by calculating in the time that execution judges the contrast of the first amplitude and the second amplitudeModule, comparison module, the first determination module and the second determination module carry out, and particularly, computing module is used for calculatingThe absolute value of the difference of one amplitude and the second amplitude; Comparison module is for comparing the size of absolute value and preset value; FirstDetermination module is for receiving the Output rusults of comparison module, when representing that from the Output rusults of comparison module absolute value is greater thanWhen preset value, judge that the first amplitude and the second amplitude do not match; Second determination module is also for receiving comparison moduleOutput rusults, in the time representing that from the Output rusults of comparison module absolute value is less than or equal to preset value, judges the first widthValue and the second amplitude match.
The embodiment of the present invention also provides a kind of detection method of unit bearing, and this detection method can be by the present inventionState the checkout gear of the unit bearing that embodiment provides and carry out, the detection providing with embodiment of the present invention foregoingIn like manner, the detection method that the embodiment of the present invention provides can be applied on wind-powered electricity generation unit device, also can be applied in itOn its equipment unit, below so that being detected, the bearing of wind-powered electricity generation unit illustrates what the embodiment of the present invention was provided for exampleThe detection method of wind-powered electricity generation unit:
Fig. 2 is according to the flow chart of the detection method of the unit bearing of the embodiment of the present invention, as shown in Figure 2, and this enforcementThe detection method of example comprises the steps S202 to S210:
S202: the vibration data that gathers certain bearing (hereinafter referred to as clutch shaft bearing) in wind-powered electricity generation unit;
S204: the vibration data collecting is carried out to data processing, obtain the frequency spectrum data that vibration data is corresponding;
S206: whether the historical spectrum data that judge frequency spectrum data and clutch shaft bearing match, wherein, at wind-powered electricity generation unitIn store the historical spectrum data of clutch shaft bearing, when judging the historical spectrum data phase of frequency spectrum data with clutch shaft bearingWhile coincideing, execution step S208; In the time judging the historical spectrum data of frequency spectrum data and clutch shaft bearing and not matching,Execution step S210;
S208: determine clutch shaft bearing fault-free;
S210: determine that clutch shaft bearing breaks down.
The detection method of the embodiment of the present invention is passed through the frequency spectrum data of certain bearing after acquisition process and its historical spectrumWhether data contrast, judge the two and match, and then determine based on judged result whether this bearing existsFault, the method that this kind is analyzed based on historical data can be contrasted automatically by system, without artificial ginsengWith, solve the inefficient problem of fault detection method of prior art apoplexy group of motors bearing, and then reached shorteningThe sense cycle of wind-powered electricity generation unit, the effect of raising wind-powered electricity generation unit detection efficiency.
Fig. 3 is the flow chart of detection method according to the preferred embodiment of the invention, as shown in Figure 3, and the preferred embodimentCarrying out bearing fault while whether detecting, its detection method compared with the detection method shown in Fig. 2, the two identical itBe in all by data acquisition and data processing, difference is, in the detection method of the preferred embodiment of the present inventionIn, data after treatment are carried out to intellectual analysis and determine whether fault of bearing, particularly: first, from preset dataIn storehouse, search the defect frequency value of clutch shaft bearing, wherein, in presetting database, store each bearing in wind-powered electricity generation unitDefect frequency value, this presetting database can be the ATL of wind turbine group bearing fault frequency, comprising axleThe outer ring defect frequency and the inner ring defect frequency etc. that hold; Secondly, obtain the first amplitude and the second amplitude, wherein, firstAmplitude is the defect frequency value that finds corresponding amplitude in frequency spectrum data, and the second amplitude is the defect frequency findingValue corresponding amplitude in historical spectrum data, that is, by gather amplitude in the frequency spectrum data of vibration data of gained withThe amplitude of historical data base intermediate frequency spectrum data contrasts; Finally, comparing result is fed back to intellectual analysis step, withJudge whether the first amplitude and the second amplitude match, wherein, in the time judging that the first amplitude and the second amplitude match,Determine clutch shaft bearing fault-free; In the time judging that the first amplitude and the second amplitude do not match, determine that event appears in clutch shaft bearingBarrier.
The detection method of the preferred embodiment of the present invention, by contrast mould storehouse, finds the defect frequency value of clutch shaft bearing,Then the defect frequency value based on finding contrasts the amplitude in amplitude and the historical spectrum data in frequency spectrum data, protectsDemonstrate,prove the validity of the frequency values adopting, avoided because having adopted the amplitude that in frequency spectrum data, edge spectrum value is corresponding to carry outThe comparing result that contrast brings can not reflect truth, and then has reached the reliability that improves fault detection method.
Wherein, in the time carrying out intellectual analysis, can adopt with minor function and analyze:
Doublebpfo＝GetOneRecord_BPFO()；
Doublebpfi＝GetOneReord_BPFI()；
CompareToModel(bpfo，bpfi)；
CompareToHistory(bpfo，bpfi)；
The represented meaning of each function is:
The data that collect are obtained after treatment outer ring defect frequency by GetOneRecord_BPFO ();
The data that collect are obtained after treatment inner ring defect frequency by GetOneReord_BPFI ();
CompareToModel (bpfo, bpfi) compares point by the frequency in current defect frequency and ATLAnalyse;
CompareToHistory (bpfo, bpfi) compares by the frequency in current defect frequency and historical dataAnalyze.
Further, the historical spectrum data that are stored in presetting database comprise many group historical spectrum data, to look intoThe mean value of the defect frequency value finding equal corresponding amplitude in each group historical spectrum data is as the second amplitude.
Further, judge whether the first amplitude and the second amplitude match and can carry out in the following manner: first,Calculate the absolute value of the difference of the first amplitude and the second amplitude; Then, the relatively size of absolute value and preset value, thanGo out when absolute value is greater than preset value and judge that the first amplitude and the second amplitude do not match, absolute value is less than comparing orWhile equaling preset value, judge that the first amplitude and the second amplitude match.
Further, vibration data being carried out to data processing comprises by modes such as Fast Fourier Transform (FFT) or envelope conversionVibration data is carried out to Spectrum Conversion.
The embodiment of the present invention also provides a kind of wind-powered electricity generation unit, and this wind-powered electricity generation unit can be the above-mentioned reality of any the present invention of comprisingThe wind-powered electricity generation unit that the checkout gear of the routine wind-powered electricity generation unit providing is provided can be also any employing the above embodiment of the present inventionThe wind-powered electricity generation unit of the detection method of the wind-powered electricity generation unit providing.
As can be seen from the above description, the present invention has realized in the time that the bearing of wind-powered electricity generation unit is carried out to fault detect,Without artificial participation, directly whether automatic decision goes out bearing fault.
It should be noted that, can be such as one group of computer executable instructions in the step shown in the flow chart of accompanying drawingIn computer system, carry out, and, although there is shown logical order in flow process, in some cases, canTo carry out shown or described step with the order being different from herein. And the detection side that the embodiment of the present invention providesMethod and checkout gear not only go for wind-driven generator, can also be to the vibration number of all main equipment unitsAccording to analyzing.
Obviously, it is apparent to those skilled in the art that above-mentioned of the present invention each module or each step can be with generalCalculation element realize, they can concentrate on single calculation element, or are distributed in multiple calculation element instituteOn the network of composition, alternatively, they can be realized with the executable program code of calculation element, thereby, canThey are stored in storage device and are carried out by calculation element, or they are made into respectively to each integrated circuit diePiece, or the multiple modules in them or step are made into single integrated circuit module realize. Like this, the present inventionBe not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this areaArt personnel, the present invention can have various modifications and variations. Within the spirit and principles in the present invention all, doAny amendment, be equal to replacement, improvement etc., within protection scope of the present invention all should be included in.
Claims (8)
1. a detection method for unit bearing, is characterized in that, comprising:
The vibration data that gathers clutch shaft bearing, wherein, described clutch shaft bearing is the arbitrary bearing in unit;
Described vibration data is carried out to data processing, obtain the frequency spectrum data that described vibration data is corresponding;
Whether the historical spectrum data that judge described frequency spectrum data and described clutch shaft bearing match, wherein, and in instituteState the historical spectrum data that store described clutch shaft bearing in unit;
In the time that the historical spectrum data of judging described frequency spectrum data and described clutch shaft bearing match, determine described theOne bearing fault-free; And
In the time that the historical spectrum data of judging described frequency spectrum data and described clutch shaft bearing do not match, described in determiningClutch shaft bearing breaks down;
Whether the historical spectrum data that wherein, judge described frequency spectrum data and described clutch shaft bearing match and comprise:
From presetting database, search the defect frequency value of described clutch shaft bearing, wherein, in described presetting databaseIn store the defect frequency value of each bearing in described unit;
Obtain the first amplitude, wherein, described the first amplitude is that the defect frequency value that finds is at described frequency spectrum dataThe amplitude of middle correspondence;
Obtain the second amplitude, wherein, described the second amplitude is that the defect frequency value that finds is in described historical spectrumThe amplitude of correspondence in data; And
Judge whether described the first amplitude and described the second amplitude match,
Wherein, in the time judging that described the first amplitude and described the second amplitude match, determine described clutch shaft bearing withoutFault; And in the time judging that described the first amplitude and described the second amplitude do not match, determine described clutch shaft bearingBreak down.
2. detection method according to claim 1, is characterized in that, described historical spectrum data comprise that many groups are historicalFrequency spectrum data, wherein, described the second amplitude is that the defect frequency value finding is organized in historical spectrum data at eachAll mean value of corresponding amplitude.
3. detection method according to claim 1 and 2, is characterized in that, judges described the first amplitude and describedWhether two amplitudes match comprises:
Calculate the absolute value of the difference of described the first amplitude and described the second amplitude;
The size of more described absolute value and preset value;
In the time comparing described absolute value and be greater than described preset value, judge described the first amplitude and described the second amplitudeDo not match; And
In the time comparing described absolute value and be less than or equal to described preset value, judge described the first amplitude and describedTwo amplitudes match.
4. detection method according to claim 1, is characterized in that, described vibration data is carried out to data processing bagDraw together: described vibration data is carried out to Spectrum Conversion.
5. a checkout gear for unit bearing, is characterized in that, comprising:
Collecting unit, for gathering the vibration data of clutch shaft bearing, wherein, described clutch shaft bearing is in unitArbitrary bearing;
Processing unit, for described vibration data is carried out to data processing, obtains the frequency that described vibration data is correspondingSpectrum data; And
Judging unit, for judging the whether kissing of historical spectrum data of described frequency spectrum data and described clutch shaft bearingClose, wherein, in described unit, store the historical spectrum data of described clutch shaft bearing;
The first determining unit, for judging the historical spectrum data phase of described frequency spectrum data with described clutch shaft bearingWhile coincideing, determine described clutch shaft bearing fault-free; And
The second determining unit, for the historical spectrum data at the described frequency spectrum data of judgement and described clutch shaft bearing notWhile matching, determine that described clutch shaft bearing breaks down;
Wherein, described judging unit comprises:
Search subelement, for search the defect frequency value of described clutch shaft bearing from presetting database, wherein,In described presetting database, store the defect frequency value of each bearing in described unit;
First obtains subelement, and for obtaining the first amplitude, wherein, described the first amplitude is the defect findingThe amplitude of frequency values correspondence in described frequency spectrum data;
Second obtains subelement, and for obtaining the second amplitude, wherein, described the second amplitude is the defect findingThe amplitude of frequency values correspondence in described historical spectrum data; And
Judgment sub-unit, for judging whether described the first amplitude and described the second amplitude match,
Wherein, in the time judging that described the first amplitude and described the second amplitude match, determine described clutch shaft bearing withoutFault; And in the time judging that described the first amplitude and described the second amplitude do not match, determine described clutch shaft bearingBreak down.
6. checkout gear according to claim 5, is characterized in that, described judgment sub-unit comprises:
Computing module, for calculating the absolute value of difference of described the first amplitude and described the second amplitude;
Comparison module, for the size of more described absolute value and preset value;
The first determination module, in the time comparing described absolute value and be greater than described preset value, judges described firstAmplitude and described the second amplitude do not match; And
The second determination module, in the time comparing described absolute value and be less than or equal to described preset value, judges instituteState the first amplitude and described the second amplitude matches.
7. checkout gear according to claim 5, is characterized in that, described processing unit comprises: Spectrum ConversionUnit, for carrying out Spectrum Conversion to described vibration data.
8. a wind-powered electricity generation unit, is characterized in that, comprises the inspection of the unit bearing described in any one in claim 5 to 7Survey device.
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| CN106353097B (en) * | 2016-08-24 | 2019-07-12 | 新奥能源动力科技（上海）有限公司 | A kind of positioning parts method and relevant apparatus |
| US20190332958A1 (en) * | 2018-04-30 | 2019-10-31 | General Electric Company | System and process for pattern matching bearing vibration diagnostics |
| CN108844742B (en) * | 2018-09-06 | 2020-08-18 | 国电联合动力技术有限公司 | Method and system for monitoring lubricating state of generator bearing of wind turbine generator |
| CN112326236B (en) * | 2020-11-02 | 2023-04-18 | 北京信息科技大学 | Gear box operation state online monitoring method and system and storage medium |
| CN112345244A (en) * | 2020-11-03 | 2021-02-09 | 青岛高测科技股份有限公司 | Comprehensive bearing test system, test method and test bed |
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| CN2814375Y (en) * | 2005-02-02 | 2006-09-06 | 沈阳黎明航空发动机(集团)有限责任公司 | Engine bearing fault detecting instrument |
| CN102680228A (en) * | 2011-05-27 | 2012-09-19 | 华锐风电科技(集团)股份有限公司 | Method for detecting state of fan gear box |
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| JP2006113002A (en) * | 2004-10-18 | 2006-04-27 | Nsk Ltd | Anomaly diagnosis system for mechanical equipment |
| JP4560110B2 (en) * | 2008-09-17 | 2010-10-13 | ジヤトコ株式会社 | Abnormality diagnosis apparatus and abnormality diagnosis method |
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| CN2814375Y (en) * | 2005-02-02 | 2006-09-06 | 沈阳黎明航空发动机(集团)有限责任公司 | Engine bearing fault detecting instrument |
| CN102680228A (en) * | 2011-05-27 | 2012-09-19 | 华锐风电科技(集团)股份有限公司 | Method for detecting state of fan gear box |
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