CN206757009U - A kind of unit vibration on-line monitoring analysis and fault diagnosis system - Google Patents
A kind of unit vibration on-line monitoring analysis and fault diagnosis system Download PDFInfo
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- CN206757009U CN206757009U CN201720625969.7U CN201720625969U CN206757009U CN 206757009 U CN206757009 U CN 206757009U CN 201720625969 U CN201720625969 U CN 201720625969U CN 206757009 U CN206757009 U CN 206757009U
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Abstract
The utility model belongs to unit vibration monitoring technical field, disclose a kind of unit vibration on-line monitoring analysis and fault diagnosis system, intelligent data acquisition station is acquired and pre-processed to signal, status monitoring LAN carries out data signal transmission, upper analysis computer is used for field engineer and carries out field diagnostic, remote diagnostic center is used to vibrate expert to the long-range monitoring analysis of networking unit progress and diagnosis, instruct unit operation and maintenance, PC terminals are used for power plant leader and chief technology officer grasps operating states of the units in time, and carry out science decision；The analysis of unit vibration on-line monitoring carries out real-time collection analysis with fault diagnosis system by the vibration signal to unit and correlation behavior parameter, the state of identification unit, discovery failure early stage sign in time, failure cause, fault severity level, fault progression trend are judged, potential faults are eliminated in time, the generation of sexual behavior event is avoided damage to, realizes that repair based on condition of component provides solid technical foundation for unit.
Description
Technical field
The utility model belongs to unit vibration monitoring technical field, more particularly to a kind of analysis of unit vibration on-line monitoring with
Fault diagnosis system.
Background technology
At present, deepening continuously with reformation of electric power system, it will be hair to improve the reliability of equipment and reduce maintenance cost
The target that electric enterprise is constantly pursued, in power plant, facilities and equipments repair based on condition of component is inevitable development trend.And the base of repair based on condition of component
Plinth is status monitoring, only on the basis of the status information of equipment is fully grasped, could scientifically and rationally arrange to overhaul.Just
For steam turbine generator, the vibration problem of main frame and its subsidiary engine is one of the main reason for causing unit unplanned outage.
Although Large-scale machine set is typically equipped with unit vibration monitoring and protecting instrument (TSI), TSI does not possess depositing for data
Storage, management, analysis and diagnostic function, once abnormal vibration occurs for unit, once abnormal vibration occurs for unit, due to not enough
Information and effectively opportunity of analysis means, often Delay, even caused the accident when serious.
The content of the invention
The problem of existing for prior art, the utility model provide a kind of unit vibration on-line monitoring analysis and failure
Diagnostic system.
The utility model is achieved in that a kind of unit vibration on-line monitoring analysis and fault diagnosis system, the unit
Vibration online monitoring analysis includes with fault diagnosis system：
Intelligent data acquisition station for collection and the pretreatment of signal；
Communicate and connect with the intelligent data acquisition station, for carrying out the status monitoring LAN of data signal transmission；
It is connected with the status monitoring local area network communication, carrying out on-site diagnosis upper analysis for field engineer calculates
Machine；
Be connected with the status monitoring local area network communication, networking unit is carried out for vibrating expert long-range monitoring analysis and
Diagnosis, and analyzing and diagnosing result is fed back into power plant, instruct unit operation and the remote diagnostic center of maintenance；
It is connected with the status monitoring local area network communication, unit operation shape is grasped in time for power plant leader and chief technology officer
State, and carry out the PC terminals of science decision.
Further, the intelligent data acquisition station by standard industry rack, intelligent data acquisition case, display, keyboard and
Annex form, the intelligent data acquisition case be arranged on the standard industry rack in, the intelligent data acquisition case respectively with
The display, keyboard and annex communication connection.
Further, the intelligent data acquisition case is made up of framework and signal acquisition module, the signal acquisition module peace
In the framework, the signal acquisition module includes：Vibratory output module, key phase module, slow variable module, switching value mould
Block, serial communication interface module, Ethernet card.
Further, the Acquisition Circuit in the intelligent data acquisition station is employed from motion tracking anti alias filter and adaptive
Amplifying circuit；Key phase acquisition plate in the intelligent data acquisition station employs threshold level automatic tracking circuit.
The advantages of the utility model and good effect are：Unit vibration on-line monitoring analysis is with fault diagnosis system by intelligence
Energy data collection station, status monitoring LAN, upper analysis computer, remote diagnostic center, PC terminals composition, intelligent data are adopted
Collection station is acquired and pre-processed to signal, and status monitoring LAN carries out data signal transmission, and upper analysis computer is used for
Field engineer carries out field diagnostic, and remote diagnostic center is used to vibrate expert to the long-range monitoring analysis of networking unit progress and examined
It is disconnected, and analyzing and diagnosing result is fed back into power plant, unit operation and maintenance are instructed, PC terminals are used for power plant leader and chief technology officer
Operating states of the units is grasped in time, and carries out science decision；Unit vibration on-line monitoring analysis passes through with fault diagnosis system
Vibration signal and correlation behavior parameter to unit carry out real-time collection analysis, identify the state of unit in time, find that failure is early
Phase sign, failure cause, fault severity level, fault progression trend are judged, potential faults is eliminated in time, avoids damage to
The generation of sexual behavior event, realizes that repair based on condition of component provides solid technical foundation for unit.
Brief description of the drawings
Fig. 1 is that the unit vibration on-line monitoring analysis that the utility model embodiment provides and the structure of fault diagnosis system are shown
It is intended to.
In figure：1st, intelligent data acquisition station；1-1, intelligent data acquisition case；2nd, status monitoring LAN；3rd, upper analysis
Computer；4th, remote diagnostic center；5th, PC terminals.
Embodiment
For invention, features and effects of the present utility model can be further appreciated that, following examples are hereby enumerated, and coordinate
Accompanying drawing describes in detail as follows.
Structure of the present utility model is explained in detail below in conjunction with the accompanying drawings.
As shown in figure 1, unit vibration on-line monitoring analysis includes with fault diagnosis system：
Intelligent data acquisition station 1 for collection and the pretreatment of signal；
Communicate and connect with intelligent data acquisition station 1, for carrying out the status monitoring LAN 2 of data signal transmission；
Communicated to connect with status monitoring LAN 2, on-site diagnosis upper analysis computer is carried out for field engineer
3；
Communicated to connect with status monitoring LAN 2, networking unit is carried out remotely monitoring analysis and examined for vibrating expert
It is disconnected, and analyzing and diagnosing result is fed back into power plant, instruct unit operation and the remote diagnostic center 4 of maintenance；
Communicated to connect with status monitoring LAN 2, operating states of the units grasped in time for power plant leader and chief technology officer,
And carry out the PC terminals 5 of science decision.
In the utility model embodiment, intelligent data acquisition station 1 by standard industry rack, intelligent data acquisition case 1-1,
Display, keyboard and annex are formed, and intelligent data acquisition case 1-1 is arranged in standard industry rack, intelligent data acquisition case 1-1
Communicate and connect with display, keyboard and annex respectively.
In the utility model embodiment, intelligent data acquisition case 1-1 is made up of framework and signal acquisition module, and signal is adopted
Collect module installation in the frame, signal acquisition module includes：Vibratory output module, key phase module, slow variable module, switching value mould
Block, serial communication interface module, Ethernet card.
In the utility model embodiment, the Acquisition Circuit in intelligent data acquisition station 1 is employed from the anti-mixed filter of motion tracking
Ripple device and adaptive amplifying circuit；Key phase acquisition plate in intelligent data acquisition station 1 employs threshold level automatic tracking circuit.
Parameter monitoring：The analysis of unit vibration on-line monitoring and fault diagnosis system, not only need to monitor each watt of unit
Vibration signal, it should also monitor the process variable parameter related to operating condition.
Vibratory output monitoring parameters：Each watt watt shake, the axle of each watt of X, Y both direction shakes, key phase.
For the unit equipped with unit vibration monitoring and protecting system (TSI systems), intelligent data acquisition case 1-1 and TSI systems
The signal connection of system uses hardwire or communication modes；For there is no the unit of unit vibration monitoring and protecting system (TSI systems),
Intelligent data acquisition case 1-1 directly can be connected with eddy current sensor or velocity sensor, and provide work electricity for sensor
Source.
Process variable monitoring parameters：Unit vibration feature and the process variable parameter of its operating condition have very big correlation, intelligence
Can data acquisition device 1-1 can directly gather coherent signal or by serial communication, ether net mode from DOS systems or other scene
Intelligence instrument obtains.
Procedure parameter mainly includes：Load, bias, axial displacement, swollen poor, thermal expansion, Stream temperature, main vapour pressure, reheat pressure
Power, reheat steam temperature degree, babbitt metal temperature, bearing return oil temperature, cylinder temperature, thrust bearing shoe valve temperature, vacuum, hydrogen pressure, excitation voltage, excitation
Electric current etc..
Intelligent data acquisition case 1-1 has various communication interfaces, can tape relay contact output, can be exported with 4-20mA,
The linear compensation of eddy current sensor characteristic can be carried out, it is especially useful for the swollen difference measurements of small boss wide range, can be to sensor
Low frequency characteristic compensate.
Intelligent data acquisition case 1-1 has monitoring and multidimensional warning function in real time：With main watch circle, bar graph, tables of data
The data and state that the mode Real time dynamic display such as lattice, trend curve is monitored, interface is abundant directly perceived, unit information, state one
Mesh is clear.
Intelligent data acquisition case 1-1 data storage and data management function：Timing storage and time storage organically combine,
Record unit stable state, transient data comprehensively, history of forming database, lifting speed database, black box data planting modes on sink characteristic database
Deng；The data sample management of typical condition；Data storage function；Automatically maintenance management function is carried out to data.
In the analysis of unit vibration on-line monitoring and fault diagnosis system, Acquisition Circuit employs advanced from motion tracking
Anti alias filter and adaptive amplifying circuit, reduce aliasing error and quantization error, ensure that sampling precision.
Key phase acquisition plate employs threshold level automatic tracking circuit, overcomes the fiber crops that must often adjust threshold level
It is tired.
The analysis of unit vibration on-line monitoring and the systemic-function of fault diagnosis system：
Signal analysis function：
Conventional analysis：Oscillogram, spectrogram, Chart of axes track, more Chart of axes track；
Start and stop process unit transient data is analyzed：Bode diagram, nyquist diagram, cascade graphs, shaft core position figure, shutdown are bent
Line；
Unit steady state data analysis when rated speed is run：Polar diagram, Waterfall plot, shaft core position figure, tendency chart.
The analysis of unit vibration on-line monitoring and fault diagnosis system, there is provided real-time tendency analytic function, be advantageous to transport
Administrative staff grasps the feature of the newest running status of unit and transient process in time；Perfect pertinent trends analytic function is provided,
The correlation between any two or multiple parameters can be analyzed, both can also select certain using the time as reference axis
One procedure parameter provides direct basis as reference axis to search failure cause；Trend prediction function is provided, can be according to current
The change of parameter, the development trend of set state is predicted, finds potential faults in time, avoid damage to the generation of sexual behavior event.
State report function：The daily form of unit vibration amount and correlated process amount is provided, retains archives for unit operation
Data.When unit occurs abnormal, there is provided analyzing and diagnosing is reported, provides diagnostic result, explanation and handling suggestion；Can to it is any when
Between data in section under various operating modes carry out statistical analysis, provide the maximum of unit vibration and associated arguments under every kind of operating mode,
Minimum value, average value, each passage alarm times, accumulative time of fire alarming, unit startup-shutdown number；Detailed list of thing is provided,
Provide the alarm condition of each passage, including when time of fire alarming, type of alarm, alarm order and alarm each passage detailed data,
Simultaneously according to above- mentioned information, the state analysis report in this period is provided.
Dynamic balance calculation function：In unit actual motion, unit imbalance fault is often encountered, it is necessary to be done to unit
Balance Treatment, this system provides the dynamic balance calculation module of practicality, optimal reasonable counterweight can be easily found out rapidly, can be right
More balanced surfaces, more vibration measurings point are balanced simultaneously.
The analysis of unit vibration on-line monitoring and the fault diagnosis system of fault diagnosis system have the characteristics that：
Automatic diagnosis and consulting diagnosis is combined：System according to the status data of acquisition, structural parameters, time-domain signal and
Equipment is run and the historical data of experiment, and unit most common failure is diagnosed automatically.Diagnostic result and explanation are provided, to some
Exceptional fault provides human assistance consulting diagnosis.
Advanced technique of reasoning machine：Inference engine module uses forward and reverse mixed inference mechanism, the real-time characteristic according to unit
Data, history feature data and unit operation operating mode, to unit occur it is abnormal the reason for make inferences judgements, provide diagnosis tie
Fruit and reasoning are explained, form diagnostic analysis report, help is provided for unit troubleshooting.
Open KBS：By open KBS, user will can safeguard in fact from longtime running
The experience for trampling accumulation is refined into criterion and is added in knowledge base, the criterion in knowledge base can be supplemented, change, delete,
Renewal, further to improve the specific aim of expert system and practicality.
The analysis of unit vibration on-line monitoring and the network communication function of fault diagnosis system：
Data communication：Can easily with power plant's computer system (DCS, MIS), intelligence instrument and offline analysis of vibration measurement
Instrument is communicated, and realizes data sharing, meets the needs of exchange of information shared data between the growing different system of power plant.
Level of factory set state monitoring net：Level of factory set state monitoring net easily can be built using the existing LAN of power plant,
Equipment control engineer network can and scope in, you can conveniently realize unit on-line monitoring analysis and diagnosis, slap at any time
The state of unit is held, makes the work of its status monitoring more efficient.
Unit vibration on-line monitoring analysis can easily utilize electric power wide area or telephone network with fault diagnosis system
Resource, structure net save set remote analyzing and diagnosing center, and center carries out filing management to the data for unit of networking to be occurred to unit
Failure carry out analyzing and diagnosing in time, and propose treatment advice, realize that Expert Resources volume is shared, be farthest power plant's clothes
Business.
The analysis of unit vibration on-line monitoring and fault diagnosis system that the utility model embodiment provides, are adopted by intelligent data
Collection station 1, status monitoring LAN 2, upper analysis computer 3, remote diagnostic center 4, PC terminals 5 form, intelligent data acquisition
1 pair of signal of standing is acquired and pre-processed, and status monitoring LAN 2 carries out data signal transmission, and upper analysis computer 3 is used for
Field engineer carries out field diagnostic, remote diagnostic center 4 be used to vibrating expert networking unit is carried out long-range monitoring analysis and
Diagnosis, and analyzing and diagnosing result is fed back into power plant, unit operation and maintenance are instructed, PC terminals 5 are used for power plant leader and technology
Supervisor grasps operating states of the units in time, and carries out science decision；The analysis of unit vibration on-line monitoring and fault diagnosis system
Real-time collection analysis is carried out by the vibration signal to unit and correlation behavior parameter, the state of unit is identified in time, finds event
Hinder early stage sign, failure cause, fault severity level, fault progression trend are judged, potential faults is eliminated in time, avoids
The generation of destructive accident, realize that repair based on condition of component provides solid technical foundation for unit.
Described above is only to preferred embodiment of the present utility model, not the utility model is made any formal
Limitation, it is every according to the technical essence of the utility model to any simple modification made for any of the above embodiments, equivalent variations with
Modification, is belonged in the range of technical solutions of the utility model.
Claims (4)
1. a kind of unit vibration on-line monitoring analysis and fault diagnosis system, it is characterised in that unit vibration on-line monitoring point
Analysis includes with fault diagnosis system：
Intelligent data acquisition station for collection and the pretreatment of signal；
Communicate and connect with the intelligent data acquisition station, for carrying out the status monitoring LAN of data signal transmission；
It is connected with the status monitoring local area network communication, on-site diagnosis upper analysis computer is carried out for field engineer；
It is connected with the status monitoring local area network communication, networking unit is carried out remotely monitoring analysis and examined for vibrating expert
It is disconnected, and analyzing and diagnosing result is fed back into power plant, instruct unit operation and the remote diagnostic center of maintenance；
It is connected with the status monitoring local area network communication, operating states of the units is grasped in time for power plant leader and chief technology officer,
And carry out the PC terminals of science decision.
2. unit vibration on-line monitoring analysis as claimed in claim 1 and fault diagnosis system, it is characterised in that the intelligence
Data collection station is made up of standard industry rack, intelligent data acquisition case, display, keyboard and annex, and the intelligent data is adopted
Header is arranged in the standard industry rack, and the intelligent data acquisition case leads to the display, keyboard and annex respectively
News connection.
3. unit vibration on-line monitoring analysis as claimed in claim 2 and fault diagnosis system, it is characterised in that the intelligence
Data acquisition device is made up of framework and signal acquisition module, and the signal acquisition module is arranged in the framework, the signal
Acquisition module includes：Vibratory output module, key phase module, slow variable module, switching value module, serial communication interface module, ether
Network interface card.
4. unit vibration on-line monitoring analysis as claimed in claim 1 and fault diagnosis system, it is characterised in that the intelligence
Acquisition Circuit in data collection station is employed from motion tracking anti alias filter and adaptive amplifying circuit；The intelligent data is adopted
Key phase acquisition plate in collection station employs threshold level automatic tracking circuit.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108105081A (en) * | 2018-02-05 | 2018-06-01 | 中国石油化工股份有限公司 | Water filling pump assembly method for diagnosing faults and device |
| CN108981905A (en) * | 2018-07-25 | 2018-12-11 | 大唐东北电力试验研究院有限公司 | A kind of Auxiliary Machinery of Power Plant vibrating failure diagnosis system having Remote Diagnosis System |
| CN109404043A (en) * | 2018-10-19 | 2019-03-01 | 临沂矿业集团有限责任公司 | A kind of underground equipment sensory perceptual system |
| CN110445830A (en) * | 2019-06-20 | 2019-11-12 | 中化兴中石油转运（舟山）有限公司 | A kind of petrochemical industry Key generating unit equipment remote intelligent monitoring system |
| CN111379598A (en) * | 2020-04-13 | 2020-07-07 | 西门子电站自动化有限公司 | Turbine vibration testing device |
| CN111963413A (en) * | 2020-08-22 | 2020-11-20 | 浙江水利水电学院 | Intelligent diagnosis platform for flood control and drainage water pump unit |
| CN112284521A (en) * | 2020-10-27 | 2021-01-29 | 西安西热节能技术有限公司 | Quantification and application method of vibration fault characteristics of steam turbine generator unit |
| CN113418731A (en) * | 2021-06-21 | 2021-09-21 | 河南中烟工业有限责任公司 | Online fault diagnosis method for cigarette making machine set |
| CN113996953A (en) * | 2020-07-28 | 2022-02-01 | 宝山钢铁股份有限公司 | Comprehensive state data acquisition and analysis system of laser welding machine |
| CN114235367A (en) * | 2021-12-14 | 2022-03-25 | 中电华创电力技术研究有限公司 | Rotary machine vibration integrated management system |
| CN116401596A (en) * | 2023-06-08 | 2023-07-07 | 哈尔滨工业大学（威海） | Early fault diagnosis method based on depth index excitation network |
| CN116538092A (en) * | 2023-07-06 | 2023-08-04 | 中国科学院理化技术研究所 | Compressor on-line monitoring and diagnosing method, device, equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108105081A (en) * | 2018-02-05 | 2018-06-01 | 中国石油化工股份有限公司 | Water filling pump assembly method for diagnosing faults and device |
| CN108105081B (en) * | 2018-02-05 | 2023-10-27 | 中国石油化工股份有限公司 | Water injection pump unit fault diagnosis method and device |
| CN108981905A (en) * | 2018-07-25 | 2018-12-11 | 大唐东北电力试验研究院有限公司 | A kind of Auxiliary Machinery of Power Plant vibrating failure diagnosis system having Remote Diagnosis System |
| CN109404043A (en) * | 2018-10-19 | 2019-03-01 | 临沂矿业集团有限责任公司 | A kind of underground equipment sensory perceptual system |
| CN110445830A (en) * | 2019-06-20 | 2019-11-12 | 中化兴中石油转运（舟山）有限公司 | A kind of petrochemical industry Key generating unit equipment remote intelligent monitoring system |
| CN111379598A (en) * | 2020-04-13 | 2020-07-07 | 西门子电站自动化有限公司 | Turbine vibration testing device |
| CN113996953A (en) * | 2020-07-28 | 2022-02-01 | 宝山钢铁股份有限公司 | Comprehensive state data acquisition and analysis system of laser welding machine |
| CN113996953B (en) * | 2020-07-28 | 2023-08-11 | 宝山钢铁股份有限公司 | State data comprehensive acquisition and analysis system of laser welder |
| CN111963413A (en) * | 2020-08-22 | 2020-11-20 | 浙江水利水电学院 | Intelligent diagnosis platform for flood control and drainage water pump unit |
| CN112284521A (en) * | 2020-10-27 | 2021-01-29 | 西安西热节能技术有限公司 | Quantification and application method of vibration fault characteristics of steam turbine generator unit |
| CN112284521B (en) * | 2020-10-27 | 2023-04-07 | 西安西热节能技术有限公司 | Quantification and application method of vibration fault characteristics of steam turbine generator unit |
| CN113418731A (en) * | 2021-06-21 | 2021-09-21 | 河南中烟工业有限责任公司 | Online fault diagnosis method for cigarette making machine set |
| CN114235367A (en) * | 2021-12-14 | 2022-03-25 | 中电华创电力技术研究有限公司 | Rotary machine vibration integrated management system |
| CN114235367B (en) * | 2021-12-14 | 2024-01-19 | 中电华创电力技术研究有限公司 | Comprehensive management system for vibration of rotary machine |
| CN116401596A (en) * | 2023-06-08 | 2023-07-07 | 哈尔滨工业大学（威海） | Early fault diagnosis method based on depth index excitation network |
| CN116401596B (en) * | 2023-06-08 | 2023-08-22 | 哈尔滨工业大学（威海） | Early fault diagnosis method based on depth index excitation network |
| CN116538092A (en) * | 2023-07-06 | 2023-08-04 | 中国科学院理化技术研究所 | Compressor on-line monitoring and diagnosing method, device, equipment and storage medium |
| CN116538092B (en) * | 2023-07-06 | 2023-11-14 | 中国科学院理化技术研究所 | Compressor on-line monitoring and diagnosing method, device, equipment and storage medium |
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