CN102330645A - Health monitoring system and method for wind generator system structure - Google Patents
Health monitoring system and method for wind generator system structure Download PDFInfo
- Publication number
- CN102330645A CN102330645A CN201110278230A CN201110278230A CN102330645A CN 102330645 A CN102330645 A CN 102330645A CN 201110278230 A CN201110278230 A CN 201110278230A CN 201110278230 A CN201110278230 A CN 201110278230A CN 102330645 A CN102330645 A CN 102330645A
- Authority
- CN
- China
- Prior art keywords
- damage
- data
- wind
- sensor
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- Y02E10/722—
Landscapes
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses a health monitoring system and method for a wind generator system structure. The system provided by the invention comprises a data storage analytical device and a data collecting device, wherein the data storage analytical device and the data collecting device are communicated through a wireless signal, the data storage analytical device comprises a mechanical model analytical module, a data receiving module, a structure safety judging module, a vascular grade judging module and a vascular execution module; the data collecting device comprises a sensor group and a data transmitting module, and the sensor group is connected with the data transmission module through a wire cable; and the system judges whether the structure is damaged or not through a certain detection means and a method, the locating and evaluation of the damage are carried out to avoid the damage, thereby realizing the damage detection of a wind power generation infrastructure and health monitoring of a discriminating structure. Meanwhile, the invention also aims to provide a health monitoring method for the wind generator system structure.
Description
Technical field
The present invention relates to a kind of monitoring structural health conditions device, more specifically relate to a kind of wind-powered electricity generation set structure health monitoring device, belong to the electrical automation field tests.
Background technique
China's civil engineering accident frequently takes place at present; Like the collapsing suddenly of bridge, the house collapses suddenly, the large-scale wind generating structure fractures collapses etc.; Caused great casualties and property loss, oneself is through causing care and the attention of people for the Important Project Security.In recent years, along with China's large quantities of MW class novel wind generator group drops into the large-scale production operation hastily, quality and operational reliability problem are outstanding, a lot of operation troubless also occurred, have increased technology and economic risk.Because the restriction that wind-resources distributes, wind power plant is distributed in desert, mountain area, the pasture away from the city more; Along with the development and utilization of wind energy on the sea, coastal waters or coastal beach wind power plant will become the important development direction of following wind-powered electricity generation, and this has brought great difficulty all for the Operation, Administration and Maintenance of unit.
The wind-powered electricity generation engineering structure damage destroys can betide any part of wind-powered electricity generation unit, and it can be from the blade that is corrupted on basis, the damage of bolt clippers and load-bearing pylon etc.; The example that structural damage destroys is in Wales, Scotland, Spain; Germany; France, Denmark, Japan and ground such as New Zealand report all arranged.Damaging modal type is rotor, blade damage and tower and the damage of base support system.
Therefore; Damage for caused by environmental factor, load and natural disaster, the engineering structure of accumulation and drag decay; Can judge whether structure exists damage through certain detection means and method; And to damaging the location and assessing and avoid destroying, to realize that the damage check of wind power foundation facility and the monitoring structural health conditions of identification have been become one of wind-powered electricity generation engineering construction and safe operation important content.
Summary of the invention
Technical problem to be solved by this invention is; Overcome the shortcoming of existing technology; Provide a kind of and judge through certain detection means and method whether structure exists damage; And damage location and assessment avoided destroying, to realize wind-powered electricity generation set structure health monitoring systems to the monitoring structural health conditions of the damage check of wind power foundation facility and identification.
Simultaneously, another object of the present invention is to provide a kind of wind-powered electricity generation set structure health monitor method.
In order to solve above technical problem, provide said system to comprise storage analytical equipment and data acquisition unit, storage analytical equipment and data acquisition unit are through communicating wireless signals, and wherein, said storage analytical equipment comprises:
The mechanical model analysis module is used to analyze the mechanical model of wind-powered electricity generation unit, confirms structural safety monitoring type of sensor, quantity and installation position;
Data reception module is used to receive the data that the data capture dress sends, and unpacks processing;
The structural safety judge module is used for judging position and the degree of damaging, the Security of evaluation structure, the performance change of predict and residual life according to the data of analyzing data acquisition unit;
Dimension pipe grade ruling module is used for the data ruling dimension pipe grade according to the structural safety judge module, need to determine whether the dimension pipe;
Dimension pipe Executive Module is used to send dimension pipe notice and carries out the dimension pipe;
Said data acquisition unit comprises sensor groups and data transmission blocks; Said sensor groups is connected through cable with data transmission blocks, and wherein the type of sensor groups, quantity and installation position are confirmed according to the analysis data of the mechanical model analysis module of storage analytical equipment.
To further qualification scheme of the present invention be: the monitoring location of sensor comprises stress monitoring and the stress or the deformation monitoring of paddle of stress monitoring, cabin and tower tube connection part of pressure monitoring, the column foot tower tube inner bolt of wind column foot plinth in the sensor groups of said data acquisition unit.Wherein, the pressure monitoring of wind column foot plinth obtains the pressure-time curve of each measuring point, thereby judges whether column foot sedimentation is even; The stress monitoring of column foot, tower tube inner bolt obtains the tower tube and whether has excessive additional bending moment, thereby judges whether the tower tube has the possibility of bending; The Security of connection part when the stress monitoring of cabin and tower tube connection part can obtain natural disasteies such as abominable weather environment or earthquake; Force-bearing situation when the stress of paddle or deformation monitoring can obtain the paddle running.
Further, sensor type comprises fiber-optic grating sensor in the sensor groups of said data acquisition unit, and said fiber-optic grating sensor comprises fiber Bragg grating strain sensor, temperature transducer, acceleration transducer, displacement transducer, pressure transducer.
Carry out as follows:
(1) the mechanical model analysis module of storage analytical equipment is analyzed the mechanical model of wind-powered electricity generation unit, confirms structural safety monitoring type of sensor, quantity and installation position;
(2) lay sensor, and sensor is connected with the data transmission blocks of data acquisition unit;
(3) data acquisition unit utilizes sensor that wind-powered electricity generation set structure damage is monitored in real time, and will detect data and send to the storage analytical equipment through data transmission blocks;
(4) data reception module of storage analytical equipment receives the data that data acquisition unit sends, and it is unpacked;
(5) the structural safety judge module of storage analytical equipment is judged the position and the degree of damage according to the damage recognition algorithm, the Security of evaluation structure, if safety then execution in step (4) continue to receive data, if dangerous, execution in step (6);
(6) the dimension pipe grade of storage analytical equipment ruling module is according to the data ruling dimension pipe grade of structural safety judge module, if confirm need not tie up pipe, then execution in step (4) continues to receive data, if need to confirm dimension pipe, execution in step (7);
(7) the dimension pipe Executive Module of storage analytical equipment sends dimension pipe notice and carries out the dimension pipe.
To further qualification scheme of the present invention be: the method for analyzing the mechanical model of wind-powered electricity generation unit in the step (1) comprises the structural safety and the method for analyzing stability of the finite element method of overall structure and partial structurtes, integrally-built method for analyzing stability and material aging.
Further, the structural damage in the step (3) is monitored comprehensive utilization local approach and global approach in real time, and wherein, local approach comprises that infrared imaging, acoustic emission, Ultrasonic Nondestructive, Fibre Optical Sensor detect; Global approach comprises based on structural vibration damage check and identification, based on damage check and the identification and the GPS monitoring of static(al).
Further, the real-time monitoring of structural damage in the step (3) also utilizes direct detecting method, and direct detecting method comprises power fingerprint technique and damage mechanics method, and wherein, the power fingerprint technique mainly is divided into two steps:
(1) damage location identification of structures: the modal parameters of utilizing test to obtain; The power fingerprint value at each test position place of computation structure; According to the situation that the power fingerprint is undergone mutation, identify the damage position of structure, comprise the damage of single place and two kinds of situation of many places damage;
(2) structural damage degree identification comprises degree of injury identification of the single place of structure and the identification of structure many places degree of injury, and the method for the single place of structure degree of injury identification is:
At first, the modal parameters of utilizing test to obtain, the power fingerprint value at each test position place of computation structure;
Secondly, through finite element method, obtain the corresponding relation between STRUCTURE DAMAGE LOCATION place degree of injury and the power fingerprint;
Once more, in the damage position place power fingerprint value substitution above-mentioned relation that obtains site-test analysis, obtain the degree of injury at STRUCTURE DAMAGE LOCATION place;
The degree of injury identifying method of structure many places is:
On the basis of the single place of structure degree of injury identifying method, adopt iterative algorithm, identification that can implementation structure many places degree of injury;
The damage mechanics method is: be provided with damage variable or, wherein, be respectively current strain value and initial strain value, K, K0 are respectively current flexural rigidity of structure and initial bending rigidity; Numerical analysis through mechanics analysis model detects with on-the-spot, confirms the Changing Pattern of the amount of damage of above-mentioned definition, and statistical pattern recognition method adopts genetic algorithm, Artificial Neural Network, wavelet transformation analysis method, Hilbert-Huang transform method.
Further, in the step (5), after the Security of structural safety judge module evaluation structure, the performance change of predict and residual life, and data predicted stored.
The invention has the beneficial effects as follows: the present invention monitors the position and the degree of the wind-powered electricity generation engineering structure damage that receives environmental factor, load and natural disaster and cause, damage accumulation, damage; And assess the Security of wind-powered electricity generation structure timely and effectively; The performance change of predict and residual life are also made and are safeguarded decision; Hold the stressed of structure building and military service overall process and damage evolution rule more all sidedly; To improving the efficiency of operation of engineering structure, prevent that the wind-powered electricity generation structure from caving in, local failure and increasing the service life, assuring the safety for life and property of the people has earth shaking meaning.
Description of drawings
Fig. 1 is a wind-powered electricity generation set structure health monitoring systems structural drawing of the present invention.
Fig. 2 is the flow chart of wind-powered electricity generation set structure health monitor method of the present invention.
Fig. 3 obtains the pressure-time curve of each measuring point for the pressure monitoring of wind column foot plinth.
Embodiment
Present embodiment provides a kind of wind-powered electricity generation set structure health monitoring systems; System construction drawing is as shown in Figure 1; Said system comprises storage analytical equipment and data acquisition unit; Storage analytical equipment and data acquisition unit are through communicating wireless signals, and wherein, said storage analytical equipment comprises:
The mechanical model analysis module is used to analyze the mechanical model of wind-powered electricity generation unit, confirms structural safety monitoring type of sensor, quantity and installation position.
Data reception module is used to receive the data that the data capture dress sends, and unpacks processing.
The structural safety judge module is used for judging position and the degree of damaging, the Security of evaluation structure, the performance change of predict and residual life according to the damage recognition algorithm.
Dimension pipe grade ruling module is used for the data ruling dimension pipe grade according to the structural safety judge module, need to determine whether the dimension pipe.
Dimension pipe Executive Module is used to send dimension pipe notice and carries out the dimension pipe.
Said data acquisition unit comprises sensor groups and data transmission blocks; Said sensor groups is connected through cable with data transmission blocks, and wherein the type of sensor groups, quantity and installation position are confirmed according to the analysis data of the mechanical model analysis module of storage analytical equipment.Sensor type comprises fiber-optic grating sensor, and said fiber-optic grating sensor comprises fiber Bragg grating strain sensor, temperature transducer, acceleration transducer, displacement transducer, pressure transducer.The monitoring location of sensor comprises stress monitoring and the stress or the deformation monitoring of paddle of stress monitoring, cabin and tower tube connection part of pressure monitoring, the column foot tower tube inner bolt of wind column foot plinth.
The method of work of wind-powered electricity generation set structure health monitoring systems, carry out as follows:
Step 1: the mechanical model analysis module of storage analytical equipment is analyzed the mechanical model of wind-powered electricity generation unit, confirms structural safety monitoring type of sensor, quantity and installation position.
The method of analyzing the mechanical model of wind-powered electricity generation unit comprises:
The finite element method of overall structure and partial structurtes: comprise dynamic load (wind lotus) analysis, the dead load analysis.Wherein, dynamic load (wind lotus) is analyzed and is the vibration shape of analyzing structural response under the live load, crucial local dynamic stress, structural fatigue effect etc.; The dead load analysis is that the stress deformation characteristic and the dangerous position of structure under the analysis limit dead load confirmed.
Integrally-built method for analyzing stability: analyze the stability features of tower body under the wind-force disturbance and the coefficient of stability under the different condition.
The structural safety of material aging and method for analyzing stability: according to the aging constitutive relation of composition of tower shell material, analyze housing structure mechanical property change with time, estimate the tower body life-span in conjunction with analysis of fatigue.
Step 2: lay sensor, and sensor is connected with the data transmission blocks of data acquisition unit; Wherein, type of sensor comprises fiber-optic grating sensor, and said fiber-optic grating sensor comprises fiber Bragg grating strain sensor, temperature transducer, acceleration transducer, displacement transducer, pressure transducer.
The monitoring location of sensor comprises stress monitoring and the stress or the deformation monitoring of paddle of stress monitoring, cabin and tower tube connection part of pressure monitoring, the column foot tower tube inner bolt of wind column foot plinth; Wherein, The pressure monitoring of wind column foot plinth obtains the pressure-time curve of each measuring point; As shown in Figure 3, thus judge whether column foot sedimentation is even; The stress monitoring of column foot, tower tube inner bolt obtains the tower tube and whether has excessive additional bending moment, thereby judges whether the tower tube has the possibility of bending; The Security of connection part when the stress monitoring of cabin and tower tube connection part can obtain natural disasteies such as abominable weather environment or earthquake; Force-bearing situation when the stress of paddle or deformation monitoring can obtain the paddle running.Wherein, judge that the method for tower tube moment of flexure is: adopt random vibration theory to analyze the response of wind-power electricity generation tower body under the fluctuating wind effect, leading indicator is displacement of body of the tower apex horizontal and substrate moment of flexure.When main evaluation index surpasses a certain critical value of ultimate bearing capacity of structure, bending phenomenon will take place in structure, thereby bring serious safety problem.So, through on-site real-time monitoring, can obtain the Horizontal displacement and the moment of flexure of substrate at each node place of tower body, the utility theory result calculated compares analysis with monitor value and theoretical value, can improve structure and cross the accuracy that bends the phenomenon judgement.
Step 3: data acquisition unit utilizes sensor that wind-powered electricity generation set structure damage is monitored in real time, and will detect data and send to the storage analytical equipment through data transmission blocks.
Structural damage is monitored comprehensive utilization local approach and global approach in real time; Wherein, Local approach includes Ocular estimate, rebound method, decoration method, spectroscopic methodology, leak test method, ray method, ultrasonic listening, pulse echo method, thermovision system imaging method, radar method and magnetic dispersion, magnetic particle method, magnetic disturbance method, eddy-current method thoroughly, infrared imaging method, acoustic-emission, Ultrasonic Nondestructive method, Fibre Optical Sensor detection method.Local approach is applied to check the crack location, weld defects, corrosive wear of a limiting-members, lax or unstability etc., and frequent several kinds of technical tie-ups make the evaluation structure state that is used in the actual detected.
Global approach comprises based on structural vibration damage check and identification, based on damage check and the identification and the GPS monitoring of static(al); Wherein, Usually needn't know damage position in advance based on structural vibration damage check and identification, also need not be arranged in during placement sensor near the damage position, just can provide enough information to confirm the damage position and the damage order of severity with limited sensor; Large scale structure and labyrinth are no exception even; Vibration measurement does not need main equipment, only if carry out the forced vibration test, has developed a lot of different analytical technologies from the damnification recognition method that detects the vibration characteristics variation; Mainly contain at present: based on the method for vibration parameters (frequency, mode change mode curvature, flexibility of curvature etc.); The FEM model update method; The statistical model method; Genetic algorithm and Artificial Neural Network; Wavelet transformation and wavelet transformation neural net method etc.; Damage check based on static(al) only utilizes static(al) to encourage and response measurement with identification.Structure measures a place or many places typical displacement and strain response under the dead load effect; The GPS monitoring system is a cover real-time monitoring system, mainly is made up of four group systems, operates through the fixed fiber transmitted data on network.This system is respectively: (1) measuring system; (2) Information Collection System; (3) information processing and analytical system; (4) System Operation and control system.Its hardware comprises: the GPS detector, (comprising gps antenna and gps receiver), and POP, information collection master control station, fiber optic network, computer system, and display screen etc.
The real-time monitoring of structural damage also utilizes direct detecting method, and direct detecting method comprises power fingerprint technique and damage mechanics method, and wherein, the power fingerprint technique mainly is divided into two steps:
(1) damage location identification of structures: the modal parameters of utilizing test to obtain; The power fingerprint value at each test position place of computation structure; According to the situation that the power fingerprint is undergone mutation, identify the damage position of structure, comprise the damage of single place and two kinds of situation of many places damage;
(2) structural damage degree identification comprises degree of injury identification of the single place of structure and the identification of structure many places degree of injury, and the method for the single place of structure degree of injury identification is:
At first, the modal parameters of utilizing test to obtain, the power fingerprint value at each test position place of computation structure;
Secondly, through finite element method, obtain the corresponding relation between STRUCTURE DAMAGE LOCATION place degree of injury and the power fingerprint;
Once more, in the damage position place power fingerprint value substitution above-mentioned relation that obtains site-test analysis, obtain the degree of injury at STRUCTURE DAMAGE LOCATION place;
The degree of injury identifying method of structure many places is:
On the basis of the single place of structure degree of injury identifying method, adopt iterative algorithm, identification that can implementation structure many places degree of injury.Suppose structure total p place damage, then structure many places degree of injury identification specific practice is following:
(1) establishing initial value is zero, and damage position is numbered;
(2) to k wheel iteration, the degree of injury of getting the i place equals the degree of injury of (k-1) inferior iteration, damages the degree of injury and the record at method recognition site 1 place of identification by single place;
(3) degree of injury of getting the 1st place equals the degree of injury of k iteration, and the degree of injury of (k-1) the inferior iteration that keeps the degree of injury at i place to equal is by the degree of injury and the record at damnification recognition method recognition site 2 places, single place;
(4) proceed similarly to calculate, take turns whole iterative value until obtaining k;
(5) judge that the condition of convergence is less than convergence precision, then stop iteration if satisfy, otherwise return step 2), carry out the next round iteration, till the condition of convergence satisfies.
The damage mechanics method is: be provided with damage variable or, wherein, be respectively current strain value and initial strain value, K, K0 are respectively current flexural rigidity of structure and initial bending rigidity; Numerical analysis through mechanics analysis model detects with on-the-spot, confirms the Changing Pattern of the amount of damage of above-mentioned definition, and statistical pattern recognition method adopts genetic algorithm, Artificial Neural Network, wavelet transformation analysis method, Hilbert-Huang transform method.
Step 4: the data reception module of storage analytical equipment receives the data that data acquisition unit sends, and it is unpacked.
Step 5: the structural safety judge module of storage analytical equipment is judged the position and the degree of damage according to the damage recognition algorithm, the Security of evaluation structure, if safety then execution in step four continue to receive data, if dangerous, execution in step six; Simultaneously, the performance change of predict and residual life, and data predicted stored.
Concrete structure, steel structure and Other Engineering structure; Can be able to receive the influence of various factors in its structural and working life in planning, design, construction and using process; There are the factor (such as material etc.) and the external factor (like artificial and non-artificial factor in environmental factor, planning, design, the work progress etc.) of self-structure self; Structural behaviour is changed (like concrete structure aging etc.), influence working life.So change and life forecast for the structural behaviour of concrete structure or steel structure can combine to carry out from many aspects:
(1) detect through the quality to structural material before constructing, if detection is defective, then structure possibly crossed the low requirement of not satisfying length of life because of intensity;
(2) regularly carry out the observation and the detection of indexs of correlation such as malformation and crack for concrete structure that is in age and steel structure, come evaluation prediction is carried out in the variation of its structural behaviour;
(3) through observation, Structural Influence is concerned predict changes of properties and working life in conjunction with Related Environmental Factors to data of relevant environmental factors in the structure using process (like indexs such as temperature, appropriateness, pH values).
Step 6: the dimension pipe grade ruling module of storage analytical equipment is according to the data ruling dimension pipe grade of structural safety judge module, if confirm need not tie up pipe, then execution in step four continues to receive data, if need to confirm dimension pipe, execution in step seven.
Step 7: the dimension pipe Executive Module of storage analytical equipment sends dimension pipe notice and carries out the dimension pipe.
Except that the foregoing description, the present invention can also have other mode of executions.All employings are equal to the technological scheme of replacement or equivalent transformation formation, all drop on the protection domain of requirement of the present invention.
Claims (8)
1. wind-powered electricity generation set structure health monitoring systems; It is characterized in that said system comprises storage analytical equipment and data acquisition unit, storage analytical equipment and data acquisition unit pass through communicating wireless signals; Wherein, said storage analytical equipment comprises:
The mechanical model analysis module is used to analyze the mechanical model of wind-powered electricity generation unit, confirms structural safety monitoring type of sensor, quantity and installation position;
Data reception module is used to receive the data that the data capture dress sends, and unpacks processing;
The structural safety judge module is used for judging position and the degree of damaging, the Security of evaluation structure, the performance change of predict and residual life according to the data of analyzing data acquisition unit;
Dimension pipe grade ruling module is used for the data ruling dimension pipe grade according to the structural safety judge module, need to determine whether the dimension pipe;
Dimension pipe Executive Module is used to send dimension pipe notice and carries out the dimension pipe;
Said data acquisition unit comprises sensor groups and data transmission blocks; Said sensor groups is connected through cable with data transmission blocks, and wherein the type of sensor groups, quantity and installation position are confirmed according to the analysis data of the mechanical model analysis module of storage analytical equipment.
2. wind-powered electricity generation set structure health monitoring systems according to claim 1; It is characterized in that the monitoring location of sensor comprises stress monitoring and the stress or the deformation monitoring of paddle of stress monitoring, cabin and tower tube connection part of pressure monitoring, the column foot tower tube inner bolt of wind column foot plinth in the sensor groups of said data acquisition unit.
3. wind-powered electricity generation set structure health monitoring systems according to claim 1; It is characterized in that sensor type comprises fiber-optic grating sensor in the sensor groups of said data acquisition unit, said fiber-optic grating sensor comprises fiber Bragg grating strain sensor, temperature transducer, acceleration transducer, displacement transducer, pressure transducer.
4. a wind-powered electricity generation set structure health monitor method is characterized in that, carries out as follows:
(1) the mechanical model analysis module of storage analytical equipment is analyzed the mechanical model of wind-powered electricity generation unit, confirms structural safety monitoring type of sensor, quantity and installation position;
(2) lay sensor, and sensor is connected with the data transmission blocks of data acquisition unit;
(3) data acquisition unit utilizes sensor that wind-powered electricity generation set structure damage is monitored in real time, and will detect data and send to the storage analytical equipment through data transmission blocks;
(4) data reception module of storage analytical equipment receives the data that data acquisition unit sends, and it is unpacked;
(5) the structural safety judge module of storage analytical equipment is judged the position and the degree of damage according to the damage recognition algorithm, the Security of evaluation structure, if safety then execution in step (4) continue to receive data, if dangerous, execution in step (6);
(6) the dimension pipe grade of storage analytical equipment ruling module is according to the data ruling dimension pipe grade of structural safety judge module, if confirm need not tie up pipe, then execution in step (4) continues to receive data, if need to confirm dimension pipe, execution in step (7);
(7) the dimension pipe Executive Module of storage analytical equipment sends dimension pipe notice and carries out the dimension pipe.
5. wind-powered electricity generation machine structure health monitoring method according to claim 4; It is characterized in that the method for analyzing the mechanical model of wind-powered electricity generation unit in the step (1) comprises the structural safety and the method for analyzing stability of the finite element method of overall structure and partial structurtes, integrally-built method for analyzing stability and material aging.
6. wind-powered electricity generation machine structure health monitoring method according to claim 4; It is characterized in that; Structural damage in the step (3) is monitored comprehensive utilization local approach and global approach in real time, and wherein, local approach comprises that infrared imaging, acoustic emission, Ultrasonic Nondestructive, Fibre Optical Sensor detect; Global approach comprises based on structural vibration damage check and identification, based on damage check and the identification and the GPS monitoring of static(al).
7. wind-powered electricity generation machine structure health monitoring method according to claim 4; It is characterized in that the real-time monitoring of structural damage in the step (3) also utilizes direct detecting method, direct detecting method comprises power fingerprint technique and damage mechanics method; Wherein, the power fingerprint technique mainly is divided into two steps:
(1) damage location identification of structures: the modal parameters of utilizing test to obtain; The power fingerprint value at each test position place of computation structure; According to the situation that the power fingerprint is undergone mutation, identify the damage position of structure, comprise the damage of single place and two kinds of situation of many places damage;
(2) structural damage degree identification comprises degree of injury identification of the single place of structure and the identification of structure many places degree of injury, and the method for the single place of structure degree of injury identification is:
At first, the modal parameters of utilizing test to obtain, the power fingerprint value at each test position place of computation structure;
Secondly, through finite element method, obtain the corresponding relation between STRUCTURE DAMAGE LOCATION place degree of injury and the power fingerprint;
Once more, in the damage position place power fingerprint value substitution above-mentioned relation that obtains site-test analysis, obtain the degree of injury at STRUCTURE DAMAGE LOCATION place;
The degree of injury identifying method of structure many places is:
On the basis of the single place of structure degree of injury identifying method, adopt iterative algorithm, identification that can implementation structure many places degree of injury;
The damage mechanics method is: be provided with damage variable or, wherein, be respectively current strain value and initial strain value, K, K0 are respectively current flexural rigidity of structure and initial bending rigidity; Numerical analysis through mechanics analysis model detects with on-the-spot, confirms the Changing Pattern of the amount of damage of above-mentioned definition, and statistical pattern recognition method adopts genetic algorithm, Artificial Neural Network, wavelet transformation analysis method, Hilbert-Huang transform method.
8. wind-powered electricity generation machine structure health monitoring method according to claim 4 is characterized in that, in the step (5), and after the Security of structural safety judge module evaluation structure, the performance change of predict and residual life, and data predicted stored.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110278230A CN102330645A (en) | 2011-09-19 | 2011-09-19 | Health monitoring system and method for wind generator system structure |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110278230A CN102330645A (en) | 2011-09-19 | 2011-09-19 | Health monitoring system and method for wind generator system structure |
Publications (1)
Publication Number | Publication Date |
---|---|
CN102330645A true CN102330645A (en) | 2012-01-25 |
Family
ID=45482550
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201110278230A Pending CN102330645A (en) | 2011-09-19 | 2011-09-19 | Health monitoring system and method for wind generator system structure |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102330645A (en) |
Cited By (31)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102706562A (en) * | 2012-06-01 | 2012-10-03 | 河海大学 | Offshore wind turbine state monitoring system and method based on wireless sensor network |
CN103019135A (en) * | 2012-11-28 | 2013-04-03 | 北京金风科创风电设备有限公司 | Method and system for predicting service life of fan component |
CN103164627A (en) * | 2013-03-22 | 2013-06-19 | 武汉理工大学 | Identification method of random structural damage based on genetic algorithm and static force measurement data |
CN103267027A (en) * | 2013-05-30 | 2013-08-28 | 黑龙江省博凯科技开发有限公司 | Offshore fan safety monitoring system |
CN103758696A (en) * | 2014-01-09 | 2014-04-30 | 华北电力大学 | SCADA (supervisory control and data acquisition) temperature parameter based wind turbine set security evaluation method |
CN104019000A (en) * | 2014-06-23 | 2014-09-03 | 宁夏银星能源股份有限公司 | Load spectrum determination and proactive maintenance system of wind generating set |
CN104280457A (en) * | 2014-10-27 | 2015-01-14 | 中国石油天然气集团公司 | Damage identification method and device for self-elevating platform |
CN104641107A (en) * | 2012-09-18 | 2015-05-20 | 慕尼黑工业大学 | Method and device for monitoring state of rotor blade |
CN105158256A (en) * | 2015-09-30 | 2015-12-16 | 山东大学 | Online health monitoring system and method for composite material |
CN105628104A (en) * | 2016-03-22 | 2016-06-01 | 韦醒妃 | Thermal power station capable of monitoring fatigue life thereof automatically |
CN106644299A (en) * | 2016-09-08 | 2017-05-10 | 大连理工大学 | Online monitoring system and method for air tightness of airship gas bag |
CN107002639A (en) * | 2014-12-04 | 2017-08-01 | 福斯4X股份有限公司 | For the rotor blade and the section bar of rotor blade of the method, the method for recognizing the ice on wind turbine, the acceleration transducer for rotor blade including the acceleration transducer that monitor wind turbine |
CN107315874A (en) * | 2017-06-26 | 2017-11-03 | 大连三维土木监测技术有限公司 | It is a kind of to deform the sensor distribution method obtained simultaneously with Integral modes information for structure partial |
CN107330176A (en) * | 2017-06-26 | 2017-11-07 | 大连三维土木监测技术有限公司 | A kind of strain gauge estimated based on structural modal combines distribution method with accelerometer |
CN107727420A (en) * | 2017-09-14 | 2018-02-23 | 深圳市盛路物联通讯技术有限公司 | Equipment detection method and related product |
CN108279037A (en) * | 2017-12-28 | 2018-07-13 | 北京交通大学 | A kind of method for arranging of underground railway track structure real-time monitoring system |
CN108358059A (en) * | 2018-01-11 | 2018-08-03 | 山东建筑大学 | A kind of method and application process for evaluating the adjacent main limb rigidity state of tower crane |
CN108825447A (en) * | 2018-05-29 | 2018-11-16 | 无锡风电设计研究院有限公司 | A kind of wind energy conversion system monitoring method and system |
CN109186744A (en) * | 2018-07-26 | 2019-01-11 | 哈尔滨汽轮机厂有限责任公司 | Turbine blade Evaluation of Cracks system and turbine blade crack warning method |
CN109270170A (en) * | 2018-11-21 | 2019-01-25 | 扬州大学 | A kind of sensitivity amendment loading machine Structural Damage Identification considering Jie's scale |
CN110455476A (en) * | 2019-07-29 | 2019-11-15 | 河海大学 | A kind of multidimensional dynamical dactylogram damnification recognition method based on MCD abnormal point checking method |
CN112528849A (en) * | 2020-12-09 | 2021-03-19 | 西北工业大学 | Structure health monitoring method based on inner product matrix and deep learning |
CN112943560A (en) * | 2021-03-09 | 2021-06-11 | 华能新能源股份有限公司 | Method and equipment for monitoring tower bolt of wind generating set |
CN113202701A (en) * | 2021-02-04 | 2021-08-03 | 杨润童 | Optical fiber monitoring system and monitoring method for wind power plant |
CN113251942A (en) * | 2021-07-14 | 2021-08-13 | 四川大学 | Generator stator fault monitoring method and device based on strain and acoustic wave sensing |
US11151728B2 (en) | 2019-12-20 | 2021-10-19 | Ship And Ocean Industries R&D Center | Structure monitoring system and method |
CN113900381A (en) * | 2021-12-10 | 2022-01-07 | 西南科技大学 | Steel structure remote health monitoring platform based on Internet of things and application method |
TWI754870B (en) * | 2019-12-20 | 2022-02-11 | 財團法人船舶暨海洋產業研發中心 | Structure monitoring system and method |
US11629701B2 (en) | 2017-05-18 | 2023-04-18 | General Electric Company | System and method for estimating motor temperature of a pitch system of a wind turbine |
CN116150551A (en) * | 2023-04-19 | 2023-05-23 | 南京航空航天大学 | Structural damage identification method based on equivalent additional load strain response characteristic calculation |
CN116517790A (en) * | 2023-05-30 | 2023-08-01 | 广州穗泰岩土工程有限公司 | Bolt fastening monitoring method and system for wind driven generator blade |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101937214A (en) * | 2010-07-13 | 2011-01-05 | 中交公路规划设计院有限公司 | Industrial Ethernet based monitoring system of sea-crossing suspension bridge |
CN101995336A (en) * | 2009-08-12 | 2011-03-30 | 孟照辉 | Online monitoring device for running status of wind generator |
WO2011058102A2 (en) * | 2009-11-13 | 2011-05-19 | Schaeffler Technologies Gmbh & Co. Kg | Gps automated tracking of mobile monitoring units |
CN102128725A (en) * | 2010-12-02 | 2011-07-20 | 李惠 | Method for monitoring health and pre-warning safety of large-span space structure |
-
2011
- 2011-09-19 CN CN201110278230A patent/CN102330645A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101995336A (en) * | 2009-08-12 | 2011-03-30 | 孟照辉 | Online monitoring device for running status of wind generator |
WO2011058102A2 (en) * | 2009-11-13 | 2011-05-19 | Schaeffler Technologies Gmbh & Co. Kg | Gps automated tracking of mobile monitoring units |
CN101937214A (en) * | 2010-07-13 | 2011-01-05 | 中交公路规划设计院有限公司 | Industrial Ethernet based monitoring system of sea-crossing suspension bridge |
CN102128725A (en) * | 2010-12-02 | 2011-07-20 | 李惠 | Method for monitoring health and pre-warning safety of large-span space structure |
Cited By (51)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102706562A (en) * | 2012-06-01 | 2012-10-03 | 河海大学 | Offshore wind turbine state monitoring system and method based on wireless sensor network |
CN104641107B (en) * | 2012-09-18 | 2016-10-12 | 慕尼黑工业大学 | For the method and apparatus monitoring the state of rotor blade |
CN104641107A (en) * | 2012-09-18 | 2015-05-20 | 慕尼黑工业大学 | Method and device for monitoring state of rotor blade |
US9316571B2 (en) | 2012-09-18 | 2016-04-19 | Technische Universität München | Method and device for monitoring the state of rotor blades |
CN103019135A (en) * | 2012-11-28 | 2013-04-03 | 北京金风科创风电设备有限公司 | Method and system for predicting service life of fan component |
CN103019135B (en) * | 2012-11-28 | 2015-07-01 | 北京金风科创风电设备有限公司 | Method and system for predicting service life of fan component |
CN103164627A (en) * | 2013-03-22 | 2013-06-19 | 武汉理工大学 | Identification method of random structural damage based on genetic algorithm and static force measurement data |
CN103164627B (en) * | 2013-03-22 | 2016-01-06 | 武汉理工大学 | Based on the random structure damnification recognition method of genetic algorithm and static force measurement data |
CN103267027A (en) * | 2013-05-30 | 2013-08-28 | 黑龙江省博凯科技开发有限公司 | Offshore fan safety monitoring system |
CN103267027B (en) * | 2013-05-30 | 2016-11-16 | 黑龙江省博凯科技开发有限公司 | Offshore wind turbine safety monitoring system |
CN103758696A (en) * | 2014-01-09 | 2014-04-30 | 华北电力大学 | SCADA (supervisory control and data acquisition) temperature parameter based wind turbine set security evaluation method |
CN103758696B (en) * | 2014-01-09 | 2016-05-25 | 华北电力大学 | Aerogenerator unit safe status evaluation method based on SCADA temperature parameter |
CN104019000A (en) * | 2014-06-23 | 2014-09-03 | 宁夏银星能源股份有限公司 | Load spectrum determination and proactive maintenance system of wind generating set |
CN104280457A (en) * | 2014-10-27 | 2015-01-14 | 中国石油天然气集团公司 | Damage identification method and device for self-elevating platform |
CN107002639A (en) * | 2014-12-04 | 2017-08-01 | 福斯4X股份有限公司 | For the rotor blade and the section bar of rotor blade of the method, the method for recognizing the ice on wind turbine, the acceleration transducer for rotor blade including the acceleration transducer that monitor wind turbine |
CN105158256A (en) * | 2015-09-30 | 2015-12-16 | 山东大学 | Online health monitoring system and method for composite material |
CN105158256B (en) * | 2015-09-30 | 2017-08-29 | 山东大学 | A kind of online health monitor method of composite |
CN105628104A (en) * | 2016-03-22 | 2016-06-01 | 韦醒妃 | Thermal power station capable of monitoring fatigue life thereof automatically |
CN105628104B (en) * | 2016-03-22 | 2017-09-19 | 中国能源建设集团华南电力试验研究院有限公司 | Can automatic monitoring itself fatigue life thermal power station |
CN106644299A (en) * | 2016-09-08 | 2017-05-10 | 大连理工大学 | Online monitoring system and method for air tightness of airship gas bag |
CN106644299B (en) * | 2016-09-08 | 2019-11-26 | 大连理工大学 | A kind of airship envelope air-tightness on-line monitoring system and method |
US11629701B2 (en) | 2017-05-18 | 2023-04-18 | General Electric Company | System and method for estimating motor temperature of a pitch system of a wind turbine |
CN107330176A (en) * | 2017-06-26 | 2017-11-07 | 大连三维土木监测技术有限公司 | A kind of strain gauge estimated based on structural modal combines distribution method with accelerometer |
CN107330176B (en) * | 2017-06-26 | 2020-04-24 | 大连三维土木监测技术有限公司 | Strain gauge and accelerometer joint layout method based on structural modal estimation |
CN107315874B (en) * | 2017-06-26 | 2020-04-24 | 大连三维土木监测技术有限公司 | Sensor layout method for simultaneously acquiring local deformation and overall modal information of structure |
CN107315874A (en) * | 2017-06-26 | 2017-11-03 | 大连三维土木监测技术有限公司 | It is a kind of to deform the sensor distribution method obtained simultaneously with Integral modes information for structure partial |
CN107727420A (en) * | 2017-09-14 | 2018-02-23 | 深圳市盛路物联通讯技术有限公司 | Equipment detection method and related product |
CN107727420B (en) * | 2017-09-14 | 2021-05-28 | 深圳市盛路物联通讯技术有限公司 | Equipment detection method and related product |
CN108279037A (en) * | 2017-12-28 | 2018-07-13 | 北京交通大学 | A kind of method for arranging of underground railway track structure real-time monitoring system |
CN108279037B (en) * | 2017-12-28 | 2020-05-19 | 北京交通大学 | Arrangement method of real-time monitoring system for subway rail structure |
CN108358059A (en) * | 2018-01-11 | 2018-08-03 | 山东建筑大学 | A kind of method and application process for evaluating the adjacent main limb rigidity state of tower crane |
CN108825447A (en) * | 2018-05-29 | 2018-11-16 | 无锡风电设计研究院有限公司 | A kind of wind energy conversion system monitoring method and system |
CN109186744A (en) * | 2018-07-26 | 2019-01-11 | 哈尔滨汽轮机厂有限责任公司 | Turbine blade Evaluation of Cracks system and turbine blade crack warning method |
CN109186744B (en) * | 2018-07-26 | 2020-10-27 | 哈尔滨汽轮机厂有限责任公司 | Turbine blade crack evaluation system and turbine blade crack early warning method |
CN109270170A (en) * | 2018-11-21 | 2019-01-25 | 扬州大学 | A kind of sensitivity amendment loading machine Structural Damage Identification considering Jie's scale |
CN109270170B (en) * | 2018-11-21 | 2020-11-03 | 扬州大学 | Sensitivity correction loader structure damage identification method considering mesoscale |
CN110455476B (en) * | 2019-07-29 | 2021-08-27 | 河海大学 | Multi-dimensional dynamic fingerprint damage identification method based on MCD abnormal point detection algorithm |
CN110455476A (en) * | 2019-07-29 | 2019-11-15 | 河海大学 | A kind of multidimensional dynamical dactylogram damnification recognition method based on MCD abnormal point checking method |
US11151728B2 (en) | 2019-12-20 | 2021-10-19 | Ship And Ocean Industries R&D Center | Structure monitoring system and method |
TWI754870B (en) * | 2019-12-20 | 2022-02-11 | 財團法人船舶暨海洋產業研發中心 | Structure monitoring system and method |
CN112528849A (en) * | 2020-12-09 | 2021-03-19 | 西北工业大学 | Structure health monitoring method based on inner product matrix and deep learning |
CN112528849B (en) * | 2020-12-09 | 2023-03-24 | 西北工业大学 | Structure health monitoring method based on inner product matrix and deep learning |
CN113202701A (en) * | 2021-02-04 | 2021-08-03 | 杨润童 | Optical fiber monitoring system and monitoring method for wind power plant |
CN112943560A (en) * | 2021-03-09 | 2021-06-11 | 华能新能源股份有限公司 | Method and equipment for monitoring tower bolt of wind generating set |
CN113251942A (en) * | 2021-07-14 | 2021-08-13 | 四川大学 | Generator stator fault monitoring method and device based on strain and acoustic wave sensing |
CN113251942B (en) * | 2021-07-14 | 2021-09-14 | 四川大学 | Generator stator fault monitoring method and device based on strain and acoustic wave sensing |
CN113900381A (en) * | 2021-12-10 | 2022-01-07 | 西南科技大学 | Steel structure remote health monitoring platform based on Internet of things and application method |
CN116150551A (en) * | 2023-04-19 | 2023-05-23 | 南京航空航天大学 | Structural damage identification method based on equivalent additional load strain response characteristic calculation |
CN116150551B (en) * | 2023-04-19 | 2023-09-29 | 南京航空航天大学 | Structural damage identification method based on equivalent additional load strain response characteristic calculation |
CN116517790B (en) * | 2023-05-30 | 2024-01-26 | 广州穗泰岩土工程有限公司 | Bolt fastening monitoring method and system for wind driven generator blade |
CN116517790A (en) * | 2023-05-30 | 2023-08-01 | 广州穗泰岩土工程有限公司 | Bolt fastening monitoring method and system for wind driven generator blade |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102330645A (en) | Health monitoring system and method for wind generator system structure | |
He et al. | Integrated structural health monitoring in bridge engineering | |
Martinez-Luengo et al. | Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm | |
Pines et al. | Status of structural health monitoring of long‐span bridges in the United States | |
Li et al. | The state of the art in structural health monitoring of cable-stayed bridges | |
CN105865522A (en) | Bridge structure monitoring system | |
CN106156336A (en) | A kind of Cable-Stayed Bridge Structure state evaluation system and assessment method | |
CN104316108A (en) | Method for establishing and analyzing online monitoring system for 500kv power transmission tower in mountain environment | |
CN113900381B (en) | Steel structure remote health monitoring platform based on Internet of things and application method | |
Tang et al. | Design and application of structural health monitoring system in long-span cable-membrane structure | |
Wang et al. | Establishment and application of the wind and structural health monitoring system for the Runyang Yangtze River Bridge | |
Rolfes et al. | Integral SHM-system for offshore wind turbines using smart wireless sensors | |
CN102034021A (en) | Integral and local information fusing method of structure health diagnosis | |
CN109211390B (en) | Safety test and evaluation method for vibration and strength of power transmission tower | |
TWI657404B (en) | Offshore wind farm management system and method thereof | |
Iliopoulos et al. | Continuous fatigue assessment of an offshore wind turbine using a limited number of vibration sensors | |
CN209639759U (en) | A kind of downstream Tailings Dam dam inside ess-strain comprehensive monitor system | |
Tang et al. | Real-time monitoring system for scour around monopile foundation of offshore wind turbine | |
CN116756504A (en) | Underground factory building environment monitoring model and trend early warning algorithm | |
Ju et al. | Structural Health Monitoring (SHM) for a cable stayed bridge under typhoon | |
Phares et al. | An experimental validation of a statistical-based damage detection approach. | |
Teng et al. | The intelligent method and implementation of health monitoring system for large span structures | |
CN111595234B (en) | Intelligent diagnosis device and method for yield of pole material of power transmission tower structure | |
Nguyen et al. | Vibration-based damage alarming criteria for wind turbine towers | |
HEIZA et al. | State of the art review of structural health monitoring for bridges using wireless system techniques |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C12 | Rejection of a patent application after its publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20120125 |