CN201311360Y - Vibrating online monitoring failure diagnostic device - Google Patents
Vibrating online monitoring failure diagnostic device Download PDFInfo
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- CN201311360Y CN201311360Y CNU2008200638667U CN200820063866U CN201311360Y CN 201311360 Y CN201311360 Y CN 201311360Y CN U2008200638667 U CNU2008200638667 U CN U2008200638667U CN 200820063866 U CN200820063866 U CN 200820063866U CN 201311360 Y CN201311360 Y CN 201311360Y
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Abstract
The utility model is suitable for the technical field of equipment failure diagnosis, and provides a vibrating online monitoring failure diagnostic device which comprises a signal collecting unit, a signal preprocessing unit, an interface unit, a storage unit, a signal analyzing unit, a failure diagnosing unit and a control unit, wherein the signal collecting unit is used for collecting and outputting a running characteristic signal of mechanical equipment, the signal preprocessing unit is used for preprocessing a running characteristic signal outputted by the signal collecting unit and outputting processed signal data, the interface unit is used for receiving and outputting the signal data outputted by the signal preprocessing unit, the storage unit is used for storing the signal data, the vibrating characteristic and sensitive parameters of the equipment failure, the signal analyzing unit is used for the signal analysis of the signal data in the storage unit and outputting a signal analysis result, the failure diagnosing unit is used for diagnosing the failure of the equipment and outputting according to the signal data, the vibrating characteristic and sensitive parameters of the equipment failure and the signal analysis result outputted by the signal analyzing unit, and the control unit is used for storing the signal data outputted by the interface unit into the storage unit.
Description
Technical field
The utility model belongs to the Diagnosis Technique field, relates in particular to a kind of vibration online monitoring trouble-shooter.
Background technology
Along with the development and the progress of science and technology of the big production of modernization, the demand of the efficient operation of traditional more and more not competent device security of maintenance and repair means, various accidents happen occasionally.Serious catastrophic failure not only causes enormous economic loss, and causes very big casualties and environmental pollution, therefore guarantees the safe operation of equipment, and the elimination accident is very urgent problem.Under these circumstances, the Diagnosis Technique that combines modern electronic technology, computer technology, network technology, modern signal analytical technology, expert system theory and mechanical fault mechanism achievement in research is arisen at the historic moment.It can be in time, correctly various abnormality or malfunction are made diagnosis, prevention or eliminate fault, and the maximum designed capacity of assurance equipment performance instructs the management and the maintenance of equipment.
Existing Diagnosis Technique is normally carried out fault analysis, diagnosis and forecast according to the acquired signal such as temperature, pressure or rotating speed of equipment, but, based on the fault diagnosis technology of these signals all can't really accomplish accurate and effective, diagnose out the reality and potentiality fault of equipment all sidedly, these deficiencies of prior art more and more can not satisfy the demand in market.
The utility model content
The purpose of this utility model is: a kind of vibration online monitoring trouble-shooter is provided, be intended to solve in the prior art and can only carry out based on the signals of gathering such as temperature, pressure or rotating speed usually the fault diagnosis of equipment, can't really accomplish accurate and effective, diagnose out the problem of the reality and potentiality fault of equipment all sidedly.
The purpose of this utility model is achieved in that
A kind of vibration online monitoring trouble-shooter, described device comprises:
The signal gathering unit that the operation characteristic signal of plant equipment is gathered and exported;
Described operation characteristic signal to described signal gathering unit output carries out the Signal Pretreatment unit that the signal data after handling is also exported in pre-service;
Receive the signal data of described Signal Pretreatment unit output and the interface unit of output;
The vibration performance of stored signal data and equipment failure and the storage unit of sensitive parameter;
Signal data in the described storage unit is carried out the signal analysis unit of signal analysis and output signal analysis result;
According to the vibration performance and the sensitive parameter of signal data in the described storage unit and equipment failure, and the signal analysis result of described signal analysis unit output carries out the failure diagnosis unit of fault diagnosis and output to equipment; And
The signal data of described interface unit output is deposited in the control module of described storage unit.
Described signal analysis unit comprises:
According to the real time status of described signal data judgment device running status and the real time status monitoring modular of output;
Described signal data is carried out the phase analysis module of phase analysis and output;
Carry out the start and stop analysis module of amplitude, phase place and revolution speed calculating and output according to described signal data;
Described signal data is carried out the off-line data analysis module of off-line ground time domain, frequency domain, trend and wavelet analysis and output; And
Equipment is carried out the dynamic balance calibration module of dynamic balance calibration according to described signal data.
Described device also comprises:
The analysis result and the diagnostic result that show the output of described signal analysis unit and described failure diagnosis unit, and receive user's the operation information and the data interaction unit of configuration information; And
The analysis result and the diagnostic result of described signal analysis unit and the output of described failure diagnosis unit are sent to remote monitoring terminal by network, and the network communication unit of the solicited message of receiving remote monitoring terminal.
Outstanding advantage of the present utility model is: the utility model is by in the normal course of operation of plant equipment or do not dismantle substantially under the situation of armamentarium, the signals such as vibration of collecting device in real time, by to multiple signal analysis such as this acquired signal frequency spectrums, and carry out the Fault Diagnosis analysis according to the parameters such as fault vibration feature of vibration signal, signal analysis result and the equipment of equipment, thereby can grasp the operation conditions of plant equipment real-time, accurate and effective, all sidedly, and can diagnose out the reality and the incipient fault of equipment in time, and give a forecast.
Description of drawings
Fig. 1 is the structural drawing of the vibration online monitoring trouble-shooter that provides of the utility model;
Fig. 2 is the formation structural drawing of the signal analysis unit among Fig. 1.
Embodiment
In order to make the purpose of this utility model, technical scheme and advantage clearer,, the utility model is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the utility model, and be not used in qualification the utility model.
The vibration online monitoring trouble-shooter that the utility model provides is by in the normal course of operation of plant equipment or do not dismantle substantially under the situation of armamentarium, the signals such as vibration of collecting device in real time, by this acquired signal is carried out time domain, frequency domain, phase place, multiple signal analysis such as small echo, and carry out the analysis of fault probability of occurrence according to the acquired signal of equipment and the parameters such as fault vibration feature of equipment, thereby can be real-time, accurately, effectively, grasp the operation conditions of plant equipment all sidedly, and can diagnose out the incipient fault of equipment in time, and give a forecast.
Fig. 1 shows the structure of the vibration online monitoring trouble-shooter that the utility model provides, and for convenience of explanation, only shows the part relevant with the utility model, and these parts can be the modules of software, hardware or software and hardware combining.
The 12 pairs of above-mentioned operation characteristic signals in Signal Pretreatment unit carry out preposition amplification/electric charge amplification, shaping, filtering, coupling, and after the pre-service such as analog to digital conversion, the signal data data transmission after interface unit 13 will be handled is given control module 15.
In the utility model, the structure of signal analysis unit 17 as shown in Figure 2, wherein, details are as follows for the function of each module:
Real time status monitoring modular 171 is in real time with the position and the vibration values of each monitoring point, and/or the information of each passage and value of consult volume, and/or according to signal data generate the time, frequency-domain waveform figure, the data disaply moudle (not shown) that histogram etc. output in the data interaction unit 18 shows in real time, simultaneously, also can be according to the sampling number of storage in the storage unit 110, analysis frequency carries out sampling analysis to above-mentioned signal data, and according in the storage unit 110 criterion of equipment running status grade being judged that the residing state in above-mentioned each monitoring point is (as good, note, danger etc.), color by displayed value illustrates state of living in, can also exceed standard in above-mentioned vibration values according to the alarm parameters in the storage unit 110, or sending look-at-me when reaching certain state to control module 15,15 of control modules are reported to the police by control alarm unit 14.
172 of phase analysis modules are by carrying out phase analysis to signal data, and can generate frequency multiplication phase differential figure, each measuring point phase differential figure, phase place trend map etc. according to being provided with of user and export above-mentioned data disaply moudle to and show.
173 of start and stop analysis modules carry out amplitude, phase place, revolution speed calculating according to signal data, and can generate Nyquist figure, Bode figure, and waterfall figure according to being provided with of user, and export above-mentioned data disaply moudle to and show.
174 of off-line data analysis modules are used for when off-line the signal data of storage unit 110 being analyzed, and the various analysis conclusions and the analysis chart of generation can show by above-mentioned data disaply moudle.
Analysis to signal data in the utility model comprises time-domain analysis, spectrum analysis, trend analysis, wavelet analysis, analysis of orbit, average analysis, three-dimensional analysis of spectrum etc.Wherein, described time-domain analysis comprises time domain waveform, probability density, autocorrelation analysis, cross-correlation analysis etc., the various time-domain analysis figure that generate will show multiple have dimension parameter (peak value, mean value, effective value) and multiple dimensionless group in real time, so that equipment running status is judged.
Described spectrum analysis comprises amplitude spectrum, logarithmic spectrum, phase spectrum, cepstrum analysis etc., and the various spectrum analysis figure of generation will show maximum spectrum peak and respective frequencies in real time.Faults analysis such as results of spectral can be the rotating machinery imbalance, misaligns, bending shaft, axle crackle and diagnosis provide effective reference.
Described trend analysis can be carried out broken line trend analysis or curvilinear trend analysis to the vibration signal data according to being provided with of user, and carry out trend analysis according to the historical vibration signal data in the storage unit 110, and multibands such as peak value, effective value, 1x, 2x, 3x are carried out trend analysis, and according to equipment running status parameter in the storage unit 110 with the trend of analytical equipment running status, and output trend conclusion.
175 of dynamic balance calibration modules are carried out the single or double dynamic balance analysis by adopting multiple transient equilibrium computing method such as influence coefficient method and test mass balancing method to the rotor of rotating machinery, judge whether it reaches balance level, and the size of output calibration weight and phase place and judged result.
19 of failure diagnosis unit come the analysis and judgement equipment under test whether to have real fault or incipient fault according to vibration performance and the sensitive parameter during about mechanical equipment fault in above-mentioned vibration signal data, spectrum analysis result and the storage unit 110, and export the analyzing and diagnosing result to above-mentioned data disaply moudle and show.
Below show the vibration performance and the sensitive parameter analytical table of several typical faults of rotating machinery:
The vibration performance and the sensitive parameter of table 1 rotor quality off-centre
The vibration performance of table 2 rotor misalignment and sensitive parameter:
The vibration performance of table 3 oil whirl and sensitive parameter:
All kinds of mechanical faults all have relevant characteristic information and various parameter that corresponding corresponding relation is also arranged on vibration signal.Failure diagnosis unit 19 just can be assessed the running status of machinery according to these information, and the probability of occurrence of fault type, trouble location and fault is accurately judged, its diagnosis also can be diagnostic personnel reference is provided.
Above-mentioned data interaction unit 18 also comprises user data receiver module (not shown), be used to receive the user by external or install the operation instruction information, configuration information etc. of input equipments inputs such as built-in keyboard, mouse, and relevant information is sent to control module 15.
The vibration online monitoring trouble-shooter that the utility model provides also comprises network communication unit 16, under the request of the ACTIVE CONTROL of control module 15 or remote monitoring terminal, control module 15 control signal analytic units 17 and failure diagnosis unit 19 are with signal data, analysis result and analysis chart, diagnostic results etc. send to network communication unit 16 in real time, again by network communication unit 16 with these data by network real-time send to remote monitoring terminal, thereby even diagnostic personnel can not implemented monitoring and the Fault Diagnosis analysis to the checkout equipment running status yet in monitoring equipment this locality.
The utility model is by in the normal course of operation of plant equipment or do not dismantle substantially under the situation of armamentarium, the signals such as vibration of collecting device in real time, by to multiple signal analysis such as this acquired signal frequency spectrums, and carry out the Fault Diagnosis analysis according to the parameters such as fault vibration feature of vibration signal, signal analysis result and the equipment of equipment, thereby can grasp the operation conditions of plant equipment real-time, accurate and effective, all sidedly, and can diagnose out the reality and the incipient fault of equipment in time, and give a forecast.
The above only is preferred embodiment of the present utility model; not in order to restriction the utility model; all any modifications of within spirit of the present utility model and principle, being done, be equal to and replace and improvement etc., all should be included within the protection domain of the present utility model.
Claims (3)
1, a kind of vibration online monitoring trouble-shooter is characterized in that, described device comprises:
The signal gathering unit that the operation characteristic signal of plant equipment is gathered and exported;
Described operation characteristic signal to described signal gathering unit output carries out the Signal Pretreatment unit that the signal data after handling is also exported in pre-service;
Receive the signal data of described Signal Pretreatment unit output and the interface unit of output;
The vibration performance of stored signal data and equipment failure and the storage unit of sensitive parameter;
Signal data in the described storage unit is carried out the signal analysis unit of signal analysis and output signal analysis result;
According to the vibration performance and the sensitive parameter of signal data in the described storage unit and equipment failure, and the signal analysis result of described signal analysis unit output carries out the failure diagnosis unit of fault diagnosis and output to equipment; And
The signal data of described interface unit output is deposited in the control module of described storage unit.
2, vibration online monitoring trouble-shooter as claimed in claim 1 is characterized in that, described signal analysis unit comprises:
According to the real time status of described signal data judgment device running status and the real time status monitoring modular of output;
Described signal data is carried out the phase analysis module of phase analysis and output;
Carry out the start and stop analysis module of amplitude, phase place and revolution speed calculating and output according to described signal data;
Described signal data is carried out the off-line data analysis module of off-line ground time domain, frequency domain, trend and wavelet analysis and output; And
Equipment is carried out the dynamic balance calibration module of dynamic balance calibration according to described signal data.
3, vibration online monitoring trouble-shooter as claimed in claim 1 is characterized in that, described device also comprises:
The analysis result and the diagnostic result that show the output of described signal analysis unit and described failure diagnosis unit, and receive user's the operation information and the data interaction unit of configuration information; And
The analysis result and the diagnostic result of described signal analysis unit and the output of described failure diagnosis unit are sent to remote monitoring terminal by network, and the network communication unit of the solicited message of receiving remote monitoring terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2008200638667U CN201311360Y (en) | 2008-06-20 | 2008-06-20 | Vibrating online monitoring failure diagnostic device |
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| CNU2008200638667U CN201311360Y (en) | 2008-06-20 | 2008-06-20 | Vibrating online monitoring failure diagnostic device |
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| CN201311360Y true CN201311360Y (en) | 2009-09-16 |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102072276A (en) * | 2010-12-30 | 2011-05-25 | 上海交通大学 | Electromagnetic active control device for longitudinal vibration of marine shafting |
| CN102441579A (en) * | 2010-10-13 | 2012-05-09 | 上海宝钢工业检测公司 | Online monitoring method for running state of hot continuous rolling mill |
| CN105136394A (en) * | 2014-05-26 | 2015-12-09 | 国家电网公司 | Method and device for rapidly handling boiler fan vibration fault |
| CN105468879A (en) * | 2016-01-13 | 2016-04-06 | 中国航空动力机械研究所 | Method and system for processing vibration data |
| CN106644381A (en) * | 2016-12-23 | 2017-05-10 | 中国水利水电科学研究院 | Monitoring system for water current induced ground vibration |
| CN109506921A (en) * | 2018-12-24 | 2019-03-22 | 西安科技大学 | A kind of rotary machinery fault diagnosis and method for early warning |
| CN110672343A (en) * | 2019-09-29 | 2020-01-10 | 电子科技大学 | Rotary machine fault diagnosis method based on multi-attention convolutional neural network |
| CN110779716A (en) * | 2019-11-01 | 2020-02-11 | 苏州德姆斯信息技术有限公司 | Embedded mechanical fault intelligent diagnosis equipment and diagnosis method |
| CN112033669A (en) * | 2020-09-04 | 2020-12-04 | 南京大学 | DAS-based fault monitoring method for grooved carrier roller of belt conveyor |
| CN112729519A (en) * | 2021-02-03 | 2021-04-30 | 河北工程大学 | Vibration detection system and method for water turbine set |
| CN113155262A (en) * | 2021-05-17 | 2021-07-23 | 北京助创科技有限公司 | Vibration sensor with diagnosis function and method for detecting vibration of moving equipment thereof |
| CN113702045A (en) * | 2021-08-16 | 2021-11-26 | 人本股份有限公司 | Self-correlation function vibration monitoring method for rolling bearing |
-
2008
- 2008-06-20 CN CNU2008200638667U patent/CN201311360Y/en not_active Expired - Fee Related
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102441579A (en) * | 2010-10-13 | 2012-05-09 | 上海宝钢工业检测公司 | Online monitoring method for running state of hot continuous rolling mill |
| CN102441579B (en) * | 2010-10-13 | 2016-01-13 | 上海宝钢工业技术服务有限公司 | The on-line monitoring method of hot tandem rolling mill running status |
| CN102072276B (en) * | 2010-12-30 | 2012-10-31 | 上海交通大学 | Electromagnetic active control device for longitudinal vibration of marine shafting |
| CN102072276A (en) * | 2010-12-30 | 2011-05-25 | 上海交通大学 | Electromagnetic active control device for longitudinal vibration of marine shafting |
| CN105136394A (en) * | 2014-05-26 | 2015-12-09 | 国家电网公司 | Method and device for rapidly handling boiler fan vibration fault |
| CN105136394B (en) * | 2014-05-26 | 2019-03-05 | 国家电网公司 | The quickly method and device of processing boiler fan vibration fault |
| CN105468879B (en) * | 2016-01-13 | 2019-12-10 | 中国航空动力机械研究所 | method and system for processing vibration data |
| CN105468879A (en) * | 2016-01-13 | 2016-04-06 | 中国航空动力机械研究所 | Method and system for processing vibration data |
| CN106644381A (en) * | 2016-12-23 | 2017-05-10 | 中国水利水电科学研究院 | Monitoring system for water current induced ground vibration |
| CN109506921A (en) * | 2018-12-24 | 2019-03-22 | 西安科技大学 | A kind of rotary machinery fault diagnosis and method for early warning |
| CN110672343A (en) * | 2019-09-29 | 2020-01-10 | 电子科技大学 | Rotary machine fault diagnosis method based on multi-attention convolutional neural network |
| CN110779716A (en) * | 2019-11-01 | 2020-02-11 | 苏州德姆斯信息技术有限公司 | Embedded mechanical fault intelligent diagnosis equipment and diagnosis method |
| CN112033669A (en) * | 2020-09-04 | 2020-12-04 | 南京大学 | DAS-based fault monitoring method for grooved carrier roller of belt conveyor |
| CN112033669B (en) * | 2020-09-04 | 2022-03-15 | 南京大学 | DAS-based fault monitoring method for grooved carrier roller of belt conveyor |
| CN112729519A (en) * | 2021-02-03 | 2021-04-30 | 河北工程大学 | Vibration detection system and method for water turbine set |
| CN113155262A (en) * | 2021-05-17 | 2021-07-23 | 北京助创科技有限公司 | Vibration sensor with diagnosis function and method for detecting vibration of moving equipment thereof |
| CN113702045A (en) * | 2021-08-16 | 2021-11-26 | 人本股份有限公司 | Self-correlation function vibration monitoring method for rolling bearing |
| CN113702045B (en) * | 2021-08-16 | 2023-12-05 | 人本股份有限公司 | Method for monitoring vibration of autocorrelation function of rolling bearing |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090916 Termination date: 20140620 |
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| EXPY | Termination of patent right or utility model |