CN109540057A - A kind of system and method that steam turbine high-temperature pressure-containing member defect is evaluated online - Google Patents
A kind of system and method that steam turbine high-temperature pressure-containing member defect is evaluated online Download PDFInfo
- Publication number
- CN109540057A CN109540057A CN201811364126.1A CN201811364126A CN109540057A CN 109540057 A CN109540057 A CN 109540057A CN 201811364126 A CN201811364126 A CN 201811364126A CN 109540057 A CN109540057 A CN 109540057A
- Authority
- CN
- China
- Prior art keywords
- pressure
- steam turbine
- containing member
- crackle
- temperature
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/18—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring depth
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Economics (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Control Of Turbines (AREA)
- Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)
Abstract
The present invention provides a kind of system and methods that steam turbine high-temperature pressure-containing member defect is evaluated online, the crack site and depth ratio of steam turbine high-temperature pressure-containing member are determined first, the maximum principal stress at position and the mapping relations of thermal parameter where establishing crackle, then the online maximum principal stress for calculating crackle place position in real time, and judge whether to need to carry out crack propagation life calculating, if desired pressure-containing member crack propagation depth is then calculated in real time, and according to different crack depth ratios, operation and maintenance is recommended to suggest.The present invention considers the specific structure of crack site, realizes the online evaluation of pressure-containing member defect, can accurately grasp the operating status of steam turbine high-temperature pressure-containing member in real time, and the repair based on condition of component for steam turbine high-temperature pressure-containing member provides foundation.If crack depth is excessive, by timely scheme of arrangement overhaul or in cultivate eliminate steam turbine security risk, achieved the effect that prevent unit is non-from stopping, ensureing unit operational safety.
Description
Technical field
The present invention relates to a kind of system and methods that steam turbine high-temperature pressure-containing member defect is evaluated online, belong to steam turbine skill
Art field.
Background technique
Steam turbine high-temperature pressure-containing member includes high and medium voltage valve casing, high and medium voltage inner casing etc., these components bear high
Warm high pressure, operating condition are extremely severe.High temperature track is generally casting, and manufacturing defect is relatively more, usually puts into operation and finds that
The defects of crackle.In addition, power plant is due to blindness pursuit economy in recent years, vapor (steam) temperature changed during Unit Commitment
Fastly, the high temperature tracks such as valve casing and inner casing are often cracked because life consumption is excessive.
Whether these above-mentioned crack defects of steam turbine high-temperature pressure-containing member need hard stop to handle, still can be with scarce
Fall into operation a period of time, band defect can run on earth how long, be always perplex power plant staff problem.
Existing pressure-containing member service life supervision technology, gives the prison of the crack propagation life of steam turbine high-temperature pressure-containing member
Prosecutor method, but the method that these technologies largely use parameters revision, crack propagation life computational accuracy is poor, is unable to satisfy
Line evaluate pressure-containing member defect needs, also can not guided maintenance personnel accurately carry out defect processing.
Summary of the invention
The technical problem to be solved by the present invention is how to realize the online evaluation of steam turbine high-temperature pressure-containing member defect, with
The operating status of steam turbine high-temperature pressure-containing member is real-time and accurately grasped, the repair based on condition of component for steam turbine high-temperature pressure-containing member provides
Foundation.
In order to solve the above-mentioned technical problem, the technical solution of the present invention is to provide a kind of steam turbine high-temperature pressure-containing member defects
The system evaluated online, it is characterised in that: service is calculated by database server, artificial intelligence Stress calculation server, service life
Device, defects assessment server and overhaul management server composition, the data source of database server is in metal supervision database
With online measuring point data library, database server is connect with artificial intelligence Stress calculation server and defects assessment server,
Artificial intelligence Stress calculation server, service life calculation server, defects assessment server, overhaul management server are sequentially connected.
The present invention also provides a kind of methods that steam turbine high-temperature pressure-containing member defect is evaluated online, which is characterized in that step
Suddenly are as follows:
Step 1: determining the crack site and depth ratio L of steam turbine high-temperature pressure-containing member1；
Metal supervision is carried out during opening the maintenance of cylinder using steam turbine, determines what steam turbine high-temperature pressure-containing member cracked
Position and crack depth a1, calculate crack depth ratio L1, L1Calculation formula be；
a1--- crack depth；
hc--- the wall thickness of crack site；
If L1>=2%, need at once to crackle handle or year in arrange overhaul or in repair at crackle
Reason；
If L1< 2%, by a1Input database server；
Step 2: establishing the maximum principal stress σ at position where crackle1With the mapping relations of thermal parameter；
The practical start and stop curve of start and stop curve and power plant provided using manufactory, calculates crackle institute in different shutdown processes
Maximum principal stress σ at position1At any time with the change curve of thermal parameter, the maximum principal stress σ at position where establishing crackle1
With the mapping relations of thermal parameter；
Step 3: the maximum principal stress σ at position where line computation crackle1；
In steam turbine shutdown process, thermal parameter saves in real time；Utilize the maximum principal stress σ at position where crackle1With
The mapping relations of thermal parameter, the online maximum principal stress σ for calculating position where crackle in steam turbine shutdown process in real time1, and
The maximum principal stress σ at position where recording crackle after the completion of start and stop1Maximum value；
Step 4: according to the maximum principal stress σ at position where crackle1Symbol, judge whether to need to carry out crack propagation
Service life calculates；
If the maximum principal stress σ at position where crackle1Maximum value be negative value, then it represents that without crack propagation life damage
Consumption, crackle will not continue to extend, without carrying out crack propagation life calculating, the maintenance suggestion provided are as follows: can be temporarily not to crackle
It is handled, unit operates normally；
If the maximum principal stress σ at position where crackle1Maximum value be positive value, then carry out crack propagation life calculating；
Step 5: current crack depth a is calculated0；
According to crack propagation life calculation formula, the crack propagation propagation a of this shutdown process is calculated2, with gold
Belong to the crack depth a that supervision measures1It is added, obtains current crack depth a0；
Step 6: calculating current crack depth ratio L0:
Suggest step 7: providing maintenance according to current crack depth ratio；
If pressure-containing member crack depth ratio L0>=2%, need scheme of arrangement overhaul within the year or in repair, and to crackle into
Row processing；
If pressure-containing member crack depth is than 1%≤L0< 2%, it needs to make a plan, reduces the start-stop time of steam turbine, and
Detailed defect detecting test is given to crack site in next overhaul；Crack depth is measured, online calculated result is corrected；
If pressure-containing member crack depth ratio L0< 1%, start and stop, and the counterincision in next overhaul can be carried out according to original plan
Line position gives detailed defect detecting test；Crack depth is measured, online calculated result is corrected.
Preferably, in the first step, steam turbine high-temperature pressure-containing member include high pressure valve casing, middle pressure valve shell, high-pressure inner cylinder,
IP inner casing.
Preferably, in the second step, using the maximum for cracking position in Finite element arithmetic difference shutdown process
Principal stress σ1At any time with the change curve of thermal parameter, training sample is accumulated using artificial intelligence technology and establishes σ1With heating power
This mapping relations are stored in artificial intelligence Stress calculation server by the mapping relations of parameter.
Preferably, the thermal parameter include main steam temperature and pressure, reheat steam temperature and pressure, extraction temperature and
Pressure, high pressure exhaust temperature and pressure, middle pressure stripping temperature and pressure.
It is highly preferred that the thermal parameter further includes the temperature of the surface temperature and the position vapor (steam) temperature at position where crackle
Difference.
It is highly preferred that in the third step, in steam turbine shutdown process, the real-time input database service of thermal parameter
Device, using artificial intelligence Stress calculation server, the online σ for calculating position where crackle in shutdown process in real time1, and in start and stop
σ is recorded after the completion1Maximum value.
It is highly preferred that the artificial intelligence technology is artificial neural network.
Further, the artificial neural network is Recognition with Recurrent Neural Network.
Further, the Recognition with Recurrent Neural Network uses the Recognition with Recurrent Neural Network of 5 layers of structure, contains input layer, 3
Hidden layer and output layer.
Present invention combination off-line data and online data, it is online to calculate crackle place portion in real time using artificial intelligence technology
The maximum principal stress of position, so that pressure-containing member crack propagation depth be calculated in real time, and according to different crack depth ratios, pushes away
It recommends operation and maintenance is suggested.
The online assessment method of steam turbine high-temperature pressure-containing member defect provided by the invention, it is contemplated that the specific knot of crack site
Structure realizes the online evaluation of pressure-containing member defect, can accurately grasp the operating status of steam turbine high-temperature pressure-containing member in real time,
Repair based on condition of component for steam turbine high-temperature pressure-containing member provides foundation.It is big by timely scheme of arrangement if crack depth is excessive
Repair or in repair (A grades maintenance or B repair) to eliminate the security risk of steam turbine, having reached prevents unit is non-from stopping, ensureing unit fortune
The effect of row safety.
Detailed description of the invention
Fig. 1 is the block diagram for the system that steam turbine high-temperature pressure-containing member defect of the present invention is evaluated online；
Fig. 2 is the flow chart for the method that steam turbine high-temperature pressure-containing member defect of the present invention is evaluated online；
Fig. 3 is the computer software block diagram that the present invention uses；
Fig. 4 is the schematic diagram of certain model 600MW High Pressure Inner Cylinder of Steam Turbine structure；
Fig. 5 is the schematic diagram of certain model 660MW turbine high-pressure valve casing structure；
Fig. 6 is the schematic diagram of certain model 360MW High Pressure Inner Cylinder of Steam Turbine structure.
Specific embodiment
Present invention will be further explained below with reference to specific examples.
Fig. 1 is the block diagram for the system that steam turbine high-temperature pressure-containing member defect of the present invention is evaluated online, the steam turbine
The system that high temperature track defect is evaluated online is counted by database server 3, artificial intelligence Stress calculation server 4, service life
It calculates server 5, defects assessment server 6 and overhaul management server 7 to form, the data source of database server 3 is in metal
Monitor data base 1 and online measuring point data library 2, database server 3 and artificial intelligence Stress calculation server 4 and defects assessment
Server 6 connects, artificial intelligence Stress calculation server 4, service life calculation server 5, defects assessment server 6, overhaul management
Server 7 is sequentially connected.
It is illustrated in figure 2 the flow chart of the online assessment method of steam turbine high-temperature pressure-containing member defect of the present invention, as shown in Figure 3
For software block diagram of the present invention, the software installation is in artificial intelligence Stress calculation server 4, service life calculation server 5
On defects assessment server 6, evaluated online applied to steam turbine high-temperature pressure-containing member defect.
Steam turbine high-temperature pressure-containing member includes high and medium voltage valve casing, high and medium voltage inner casing etc., below for different
Steam turbine high-temperature pressure-containing member is specifically described the online assessment method of steam turbine high-temperature pressure-containing member defect of the present invention.
Embodiment 1
To Mr. Yu's model 600MW High Pressure Inner Cylinder of Steam Turbine, the structure of high-pressure inner cylinder is as shown in figure 4, in this 600MW steamer
Machine during one's term of military service, using device shown in FIG. 1, flow chart shown in Fig. 2 and computer software shown in Fig. 3, in overhaul
Cheng Zhong, it is the crackle of 0.5mm that discovery has depth at the A of position, and inner casing wall thickness is 320mm herein.
Step 1: determining steam turbine high-pressure cylinder depth ratio L1,By L1Numerical value typing
Database server；
Step 2: the maximum principal stress σ at position where line computation crackle1:
The practical start and stop curve of recommendation start and stop curve and power plant provided using manufactory, establishes σ1With the main steaming of main steam temperature
Stripping temperature and pressure, reheat steam temperature and pressure, extraction temperature and pressure, high pressure exhaust temperature and pressure, middle pressure steam temperature
The mapping relations of the thermal parameters such as degree and pressure, are calculated this shutdown at sliding parameters and cold start using Recognition with Recurrent Neural Network
σ in the process1Maximum value be -16.18MPa < 0, the maintenance suggestion provided in overhaul management server: can temporarily not to crackle into
Row processing, unit operate normally.
Embodiment 2
To Mr. Yu's model 660MW turbine high-pressure stop valve and adjust valve casing, the structure of high pressure valve casing as shown in figure 5,
This 660MW steam turbine during one's term of military service, using device shown in FIG. 1, flow chart shown in Fig. 2 and computer shown in Fig. 3
Software, during overhaul, it is the crackle of 1mm that discovery has depth at the C of position, and inner casing wall thickness is 138mm herein.
Step 1: determining steam turbine high-pressure cylinder depth ratio L1,By L1Numerical value typing
Database server；
Step 2: the maximum principal stress σ at position where line computation crackle1:
The practical start and stop curve of recommendation start and stop curve and power plant provided using manufactory, establishes σ1With the main steaming of main steam temperature
Stripping temperature and pressure, reheat steam temperature and pressure, extraction temperature and pressure, high pressure exhaust temperature and pressure, middle pressure steam temperature
The mapping relations of the thermal parameters such as degree and pressure are calculated using Recognition with Recurrent Neural Network when subnormal shutdown and hot starting, hot start mistake
σ in journey1Maximum value be 423.9MPa > 0, record shutdown process in σ1Maximum value, and input service life calculation server progress
Crack propagation life calculates.
Step 3: calculating current crack depth a0:
According to existing crack propagation life calculation formula, the crack propagation propagation that this shutdown process is calculated is
0.05mm, with a1It is added, obtains current crack depth a0=1.005mm.
Step 4: calculating current depth ratio L0:
L0< 1%, the maintenance suggestion provided in overhaul management server: start and stop can be carried out according to schedule.
Embodiment 3
To Mr. Yu's model 350MW steam turbine thin-walled IP inner casing, the structure of IP inner casing is as shown in fig. 6, in this 350MW
Steam turbine during one's term of military service, using device shown in FIG. 1, flow chart shown in Fig. 2 and computer software shown in Fig. 3, big
During repairing, it is the crackle of 1.7mm that discovery has depth at the E of position, and inner casing wall thickness is 88.5mm herein.
Step 1: determining steam turbine high-pressure cylinder depth ratio L1,By L1Numerical value typing
Database server；
Step 2: the maximum principal stress σ at position where line computation crackle1:
The practical start and stop curve of recommendation start and stop curve and power plant provided using manufactory, establishes σ1With the main steaming of main steam temperature
Stripping temperature and pressure, reheat steam temperature and pressure, extraction temperature and pressure, high pressure exhaust temperature and pressure, middle pressure steam temperature
The mapping relations of the thermal parameters such as degree and pressure are calculated using Recognition with Recurrent Neural Network when subnormal shutdown and hot starting, hot start mistake
σ in journey1Maximum value be 480.3MPa > 0, the σ in shutdown process1Maximum value input service life calculation server carry out crackle expansion
Open up service life calculating.
Step 3: calculating current crack depth a0:
According to existing crack propagation life calculation formula, the crack propagation propagation that this shutdown process is calculated is
0.2mm, with a1It is added, obtains current crack depth a0=1.9mm.
Step 4: calculating current depth ratio L0:
L0> 2%, the maintenance suggestion provided in overhaul management server: should within the year scheme of arrangement overhaul or in repair (A
Grade maintenance or B are repaired), and crackle is handled.
Using the online defects assessment system and method for steam turbine high-temperature pressure-containing member provided by the invention, vapour is quantitatively calculated
Turbine high and medium voltage inner casing, the crack depth of high and medium voltage valve casing and depth ratio, and recommend control measure out, according to high temperature
The depth ratio of pressure-containing member carrys out scheme of arrangement overhaul and repairs (A grades of maintenance and B grades of maintenance) in, provides for Turbine Safety operation
Foundation.
The above, only presently preferred embodiments of the present invention, not to the present invention in any form with substantial limitation,
It should be pointed out that under the premise of not departing from the method for the present invention, can also be made for those skilled in the art
Several improvement and supplement, these are improved and supplement also should be regarded as protection scope of the present invention.All those skilled in the art,
Without departing from the spirit and scope of the present invention, when made using disclosed above technology contents it is a little more
Dynamic, modification and the equivalent variations developed, are equivalent embodiment of the invention；Meanwhile all substantial technologicals pair according to the present invention
The variation, modification and evolution of any equivalent variations made by above-described embodiment, still fall within the range of technical solution of the present invention
It is interior.
Claims (10)
1. a kind of system that steam turbine high-temperature pressure-containing member defect is evaluated online, it is characterised in that: by database server, manually
Intelligent Stress calculation server, service life calculation server, defects assessment server and overhaul management server composition, database clothes
Be engaged in device data source in metal supervision database and online measuring point data library, database server and artificial intelligence Stress calculation
Server and the connection of defects assessment server, artificial intelligence Stress calculation server, service life calculation server, defects assessment clothes
Business device, overhaul management server are sequentially connected.
2. a kind of method that steam turbine high-temperature pressure-containing member defect is evaluated online, which is characterized in that step are as follows:
Step 1: determining the crack site and depth ratio L of steam turbine high-temperature pressure-containing member1；
Metal supervision is carried out during opening the maintenance of cylinder using steam turbine, determines the position that steam turbine high-temperature pressure-containing member cracks
With crack depth a1, calculate crack depth ratio L1, L1Calculation formula be；
a1--- crack depth；
hc--- the wall thickness of crack site；
If L1>=2%, need at once to handle crackle or arrange in year overhaul or in repair crackle handled；
If L1< 2%, by a1Input database server；
Step 2: establishing the maximum principal stress σ at position where crackle1With the mapping relations of thermal parameter；
The practical start and stop curve of start and stop curve and power plant provided using manufactory, calculates crackle place portion in different shutdown processes
The maximum principal stress σ of position1At any time with the change curve of thermal parameter, the maximum principal stress σ at position where establishing crackle1With heat
The mapping relations of force parameter；
Step 3: the maximum principal stress σ at position where line computation crackle1；
In steam turbine shutdown process, thermal parameter saves in real time；Utilize the maximum principal stress σ at position where crackle1Join with heating power
Several mapping relations, the online maximum principal stress σ for calculating position where crackle in steam turbine shutdown process in real time1, and in start and stop
The maximum principal stress σ at position where record crackle after the completion1Maximum value；
Step 4: according to the maximum principal stress σ at position where crackle1Symbol, judge whether to need to carry out crack propagation life meter
It calculates；
If the maximum principal stress σ at position where crackle1Maximum value be negative value, then it represents that without crack propagation life be lost, crackle
Will not continue to extend, without carrying out crack propagation life calculating, the maintenance suggestion provided are as follows: can temporarily not to crackle at
Reason, unit operate normally；
If the maximum principal stress σ at position where crackle1Maximum value be positive value, then carry out crack propagation life calculating；
Step 5: current crack depth a is calculated0；
According to crack propagation life calculation formula, the crack propagation propagation a of this shutdown process is calculated2, with metal supervision
The crack depth a measured1It is added, obtains current crack depth a0；
Step 6: calculating current crack depth ratio L0:
Suggest step 7: providing maintenance according to current crack depth ratio；
If pressure-containing member crack depth ratio L0>=2%, need scheme of arrangement overhaul within the year or in repair, and to crackle at
Reason；
If pressure-containing member crack depth is than 1%≤L0< 2%, it needs to make a plan, reduces the start-stop time of steam turbine, and in next time
Detailed defect detecting test is given to crack site in overhaul；Crack depth is measured, online calculated result is corrected；
If pressure-containing member crack depth ratio L0< 1%, start and stop can be carried out according to original plan, and to crack site in next overhaul
Give detailed defect detecting test；Crack depth is measured, online calculated result is corrected.
3. a kind of method that steam turbine high-temperature pressure-containing member defect is evaluated online as claimed in claim 2, it is characterised in that: institute
It states in the first step, steam turbine high-temperature pressure-containing member includes high pressure valve casing, middle pressure valve shell, high-pressure inner cylinder, IP inner casing.
4. a kind of method that steam turbine high-temperature pressure-containing member defect is evaluated online as claimed in claim 2, it is characterised in that: institute
It states in second step, using the maximum principal stress σ for cracking position in Finite element arithmetic difference shutdown process1It is at any time and hot
The change curve of force parameter accumulates training sample using artificial intelligence technology and establishes σ1It, will with the mapping relations of thermal parameter
This mapping relations are stored in artificial intelligence Stress calculation server.
5. the method that a kind of steam turbine high-temperature pressure-containing member defect as claimed in claim 2 or 4 is evaluated online, feature exist
In: the thermal parameter includes main steam temperature and pressure, reheat steam temperature and pressure, extraction temperature and pressure, high pressure
Stripping temperature and pressure, middle pressure stripping temperature and pressure.
6. a kind of method that steam turbine high-temperature pressure-containing member defect is evaluated online as claimed in claim 5, it is characterised in that: institute
State the temperature difference that thermal parameter further includes the surface temperature and the position vapor (steam) temperature at position where crackle.
7. a kind of method that steam turbine high-temperature pressure-containing member defect is evaluated online as claimed in claim 4, it is characterised in that: institute
It states in third step, in steam turbine shutdown process, the real-time input database server of thermal parameter utilizes artificial intelligence stress meter
Calculate server, the online σ for calculating position where crackle in shutdown process in real time1, and σ is recorded after the completion of start and stop1Maximum value.
8. a kind of method that steam turbine high-temperature pressure-containing member defect is evaluated online as claimed in claim 4, it is characterised in that: institute
Stating artificial intelligence technology is artificial neural network.
9. a kind of method that steam turbine high-temperature pressure-containing member defect is evaluated online as claimed in claim 8, it is characterised in that: institute
Stating artificial neural network is Recognition with Recurrent Neural Network.
10. a kind of method that steam turbine high-temperature pressure-containing member defect is evaluated online as claimed in claim 9, it is characterised in that:
The Recognition with Recurrent Neural Network uses the Recognition with Recurrent Neural Network of 5 layers of structure, contains input layer, 3 hidden layers and output layer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811364126.1A CN109540057B (en) | 2018-11-16 | 2018-11-16 | System and method for online evaluation of defects of high-temperature pressure-bearing component of steam turbine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811364126.1A CN109540057B (en) | 2018-11-16 | 2018-11-16 | System and method for online evaluation of defects of high-temperature pressure-bearing component of steam turbine |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109540057A true CN109540057A (en) | 2019-03-29 |
| CN109540057B CN109540057B (en) | 2021-03-16 |
Family
ID=65847665
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811364126.1A Active CN109540057B (en) | 2018-11-16 | 2018-11-16 | System and method for online evaluation of defects of high-temperature pressure-bearing component of steam turbine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109540057B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110245391A (en) * | 2019-05-28 | 2019-09-17 | 上海发电设备成套设计研究院有限责任公司 | A method of based on artificial neural network with the Hardness Prediction service life |
| CN114396317A (en) * | 2021-12-01 | 2022-04-26 | 上海发电设备成套设计研究院有限责任公司 | Multi-target multi-dimensional online combined monitoring method and system for nuclear turbine |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101025618A (en) * | 2006-12-28 | 2007-08-29 | 上海电力学院 | Power plant thermal equipment intelligent state diagnosing and analyzing system |
| CN101561669A (en) * | 2009-04-30 | 2009-10-21 | 上海发电设备成套设计研究院 | Device for online monitoring and controlling low cycle fatigue life consumption of components of steam turbine and method |
| CN102221473A (en) * | 2010-04-14 | 2011-10-19 | 广州市特种机电设备检测研究院 | Method for estimating remaining fatigue life of main metal structure of crane |
| CN102230399A (en) * | 2011-05-06 | 2011-11-02 | 上海发电设备成套设计研究院 | Device and method for monitoring and controlling safety risk of steam turbine generator bearing on line |
| US20130223976A1 (en) * | 2012-02-29 | 2013-08-29 | Mitchell Donald Smith | Method and apparatus for local loop closure |
| CN104268383A (en) * | 2014-09-17 | 2015-01-07 | 合肥通用机械研究院 | Safety evaluation method for high-temperature pressure pipeline containing crack defects |
| CN106285797A (en) * | 2016-08-31 | 2017-01-04 | 上海发电设备成套设计研究院 | The supervising device of the inside manufacturing defect of inner casing, outer shell and valve casing and method |
| CN106777484A (en) * | 2016-11-18 | 2017-05-31 | 西安建筑科技大学 | A kind of computational methods of surface crack growth shape |
| DE102016221928A1 (en) * | 2016-11-09 | 2018-05-09 | Siemens Aktiengesellschaft | Method for operating a cyclically loaded component during operation |
-
2018
- 2018-11-16 CN CN201811364126.1A patent/CN109540057B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101025618A (en) * | 2006-12-28 | 2007-08-29 | 上海电力学院 | Power plant thermal equipment intelligent state diagnosing and analyzing system |
| CN101561669A (en) * | 2009-04-30 | 2009-10-21 | 上海发电设备成套设计研究院 | Device for online monitoring and controlling low cycle fatigue life consumption of components of steam turbine and method |
| CN102221473A (en) * | 2010-04-14 | 2011-10-19 | 广州市特种机电设备检测研究院 | Method for estimating remaining fatigue life of main metal structure of crane |
| CN102230399A (en) * | 2011-05-06 | 2011-11-02 | 上海发电设备成套设计研究院 | Device and method for monitoring and controlling safety risk of steam turbine generator bearing on line |
| US20130223976A1 (en) * | 2012-02-29 | 2013-08-29 | Mitchell Donald Smith | Method and apparatus for local loop closure |
| CN104268383A (en) * | 2014-09-17 | 2015-01-07 | 合肥通用机械研究院 | Safety evaluation method for high-temperature pressure pipeline containing crack defects |
| CN106285797A (en) * | 2016-08-31 | 2017-01-04 | 上海发电设备成套设计研究院 | The supervising device of the inside manufacturing defect of inner casing, outer shell and valve casing and method |
| DE102016221928A1 (en) * | 2016-11-09 | 2018-05-09 | Siemens Aktiengesellschaft | Method for operating a cyclically loaded component during operation |
| CN106777484A (en) * | 2016-11-18 | 2017-05-31 | 西安建筑科技大学 | A kind of computational methods of surface crack growth shape |
Non-Patent Citations (1)
| Title |
|---|
| 张梦可: "反动式汽轮机转子热应力分析及寿命管理软件的设计", 《中国优秀硕士学位论文全文数据库工程科技II辑》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110245391A (en) * | 2019-05-28 | 2019-09-17 | 上海发电设备成套设计研究院有限责任公司 | A method of based on artificial neural network with the Hardness Prediction service life |
| CN110245391B (en) * | 2019-05-28 | 2023-07-18 | 上海发电设备成套设计研究院有限责任公司 | Method for predicting service life based on hardness of artificial neural network |
| CN114396317A (en) * | 2021-12-01 | 2022-04-26 | 上海发电设备成套设计研究院有限责任公司 | Multi-target multi-dimensional online combined monitoring method and system for nuclear turbine |
| CN114396317B (en) * | 2021-12-01 | 2022-12-16 | 上海发电设备成套设计研究院有限责任公司 | Multi-target multi-dimensional online combined monitoring method and system for nuclear turbine |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109540057B (en) | 2021-03-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112200433B (en) | Power plant thermal performance analysis and optimization system | |
| CN112906787B (en) | Industrial boiler fault identification method and system | |
| Fast et al. | Development and multi-utility of an ANN model for an industrial gas turbine | |
| CN106404403B (en) | Method and system for analysis of a turbomachine | |
| CN100447375C (en) | Method and system for on-line monitoring steam turbine roter low-cycle fatigue life consumption | |
| CN110672332B (en) | Gas turbine fault early warning system based on SARIMA model | |
| CN104808634A (en) | Thermal power plant visual management system based on virtual reality | |
| CN113095591B (en) | Consumption difference analysis method for self-optimization of operation parameters of thermal power generating unit | |
| CN109540057A (en) | A kind of system and method that steam turbine high-temperature pressure-containing member defect is evaluated online | |
| CN107480731A (en) | A kind of EARLY RECOGNITION method of thermal power plant's automobile assembly welding Iine fault signature | |
| CN108470084A (en) | A kind of turbine shafting vibrating failure diagnosis method based on neural network and reasoning by cases | |
| CN107291944A (en) | Boiler main wants the advanced diagnostic analysis method of heating surface and system | |
| CN110925031A (en) | High-power indirect air cooling steam turbine management and control system | |
| CN109992825A (en) | A kind of real-time lifetime estimation method of four main tubes of boiler for considering wall thickness reduction and crossing heat affecting | |
| CN102032548B (en) | Over-temperature risk indicator-based boiler heating surface monitoring method | |
| CN109253826B (en) | Heat meter residual life prediction method based on multi-degradation sample data fusion | |
| CN100370117C (en) | Online controlling method for steam turbine rotator equivalent stress safety margin coefficient | |
| CN109521735B (en) | On-line assessment method for use state risk of high-temperature heating surface of boiler | |
| CN102136038A (en) | State space-based multi-featured device state evaluation method and application | |
| CN109978059A (en) | A kind of crude oil distillation process primary distillation tower rushes tower fault early warning method | |
| CN117647401A (en) | Diesel engine cylinder health state monitoring method, system and storage medium | |
| CN106285797B (en) | The supervising device and method of the inside manufacturing defect of inner casing, outer shell and valve casing | |
| CN112489194A (en) | Method and system for displaying account information and boiler four-tube information in three-dimensional scene | |
| Wang et al. | Research on anomaly detection and positioning of marine nuclear power steam turbine unit based on isolated forest | |
| CN109869198B (en) | Method for monitoring efficiency of steam turbine full-life high-pressure cylinder based on valve position correction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |