CN115906324A - Method and system for evaluating service life of turbine blade - Google Patents
Method and system for evaluating service life of turbine blade Download PDFInfo
- Publication number
- CN115906324A CN115906324A CN202211619871.2A CN202211619871A CN115906324A CN 115906324 A CN115906324 A CN 115906324A CN 202211619871 A CN202211619871 A CN 202211619871A CN 115906324 A CN115906324 A CN 115906324A
- Authority
- CN
- China
- Prior art keywords
- blade
- vibration
- turbine blade
- signal
- life
- 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
Landscapes
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention relates to a method and a system for evaluating the service life of a turbine blade. The method comprises the following steps: s1, obtaining a vibration signal and a rotating speed signal of a turbine blade. And S2, obtaining an actual vibration value V1 of the turbine blade according to the vibration signal and the rotating speed signal. And S3, evaluating the actual vibration value V1 as a fatigue degree reference basis of the turbine blade to obtain the residual life y of the turbine blade. The method can effectively improve the reliability, stability and accuracy of service life evaluation of the turbine blade, particularly the last-stage blade of the nuclear turbine, can perform data collection and service life instant evaluation on the operation state of the turbine blade under any operation condition, simplifies the process of service life evaluation of each blade of the turbine, and improves the evaluation efficiency.
Description
Technical Field
The invention relates to the technical field of turbine blades, in particular to a method and a system for evaluating the service life of a turbine blade.
Background
The blade is a key part of the steam turbine and is one of the finest and most important parts. It is subjected to the combined action of high temperature, high pressure, huge centrifugal force, steam exciting force, corrosion and vibration and water drop erosion in a wet steam area under extremely severe conditions. In particular, the last stage blades of the steam turbine are subjected to the most severe environmental conditions of almost all the blades, so that the last stage blades of the steam turbine can have a life almost equivalent to that of the steam turbine.
At present, the service life of blades of steam turbines (particularly nuclear power turbines) is mainly evaluated in three ways: the first is inspection and replacement, blades are replaced when the operation time of the steam turbine exceeds 10 ten thousand hours according to the specification of a manufacturer, but the blade inspection is basically not abnormal in practice, so that the blade inspection and replacement strategy belongs to over maintenance, the blade inspection cost is increased, and unpredictable risks caused by equipment collision, personnel injury and other overhaul are more easily generated in the blade replacement process.
The second method is a nuclear turbine blade fatigue damage assessment method, the service life of the nuclear turbine blade can be predicted by analyzing the blade fatigue damage, and the current method for analyzing the nuclear turbine blade fatigue damage based on finite element analysis cannot accurately feed back the actual damage condition of the nuclear turbine blade, and cannot accurately calculate the service life of the blade.
And thirdly, further improving the second condition, acquiring three-dimensional structure data of the blade, establishing a three-dimensional structure model, performing simulation analysis on the model to obtain the maximum elastic strain stress and the maximum alternating stress position of the fatigue damage, formulating a Barkhausen noise calibration curve based on the maximum elastic alternating stress and the performance parameters of the blade material, testing a Barkhausen noise signal of the corresponding blade according to the maximum alternating stress position, and determining the fatigue damage of the blade of the nuclear turbine according to the Barkhausen noise calibration curve and the noise signal, thereby predicting the fatigue damage life of the blade of the nuclear turbine without damaging the blade of the nuclear turbine. The method has the defects that the number of the blades of the steam turbine is large, the stress of the blades at each position is different, so that models needing to be established are relatively large, introduced variables are large in the simulation process, the accuracy is poor, in addition, the real-time dynamic operation condition of the blades of the nuclear power steam turbine cannot be determined, particularly, the power of the nuclear power steam turbine is large, the size of the blades is large, steam parameters are low, the vibration rise of the steam turbine is obvious during the low-power operation period, and the method cannot carry out data collection and the service life instant evaluation on the operation state of the blades of the steam turbine under different operation working conditions.
Disclosure of Invention
The invention aims to provide a method and a system for evaluating the service life of a turbine blade.
The technical scheme adopted by the invention for solving the technical problems is as follows: a method for evaluating the service life of a turbine blade is constructed, and the method comprises the following steps:
s1, obtaining a vibration signal and a rotating speed signal of a turbine blade;
s2, obtaining an actual vibration value V1 of the turbine blade according to the vibration signal and the rotating speed signal;
and S3, evaluating by taking the actual vibration value V1 as a fatigue degree reference basis of the turbine blade to obtain the residual life y of the turbine blade.
Further, in the method for evaluating a life of a steam turbine blade according to the present invention, the step S3 further includes:
taking the actual vibration value V1 as a fatigue degree reference basis of the turbine blade, and evaluating according to a blade life evaluation algorithm to obtain the residual life y of the turbine blade:
when V1 > V:
when V1 is less than or equal to V:
y＝A-T
in the formula, A is the theoretical design life duration of the turbine blade, V is the theoretical vibration value of the turbine blade, T is the operated duration of the turbine blade, and k is a corresponding empirical coefficient designed for different blades.
Further, in the method for evaluating a life of a steam turbine blade according to the present invention, the step S2 further includes:
obtaining an actual vibration value V1 of the turbine blade through a blade vibration algorithm:
V1＝2πf*Δt*r
in the formula, f is the rotating speed frequency of the steam turbine obtained according to the rotating speed signal, Δ t is the time difference of the same blade passing through the vibration sensor twice obtained according to the vibration signal, and r is the rotating radius of the steam turbine blade.
In addition, the invention also provides a steam turbine blade service life evaluation system, which comprises a blade vibration measuring module and a blade residual service life analysis module, wherein the blade vibration measuring module is connected with the blade residual service life analysis module;
the blade vibration measuring module is used for obtaining and measuring an actual vibration value V1 of the turbine blade according to a vibration signal and a rotating speed signal of the turbine blade;
the blade residual life analysis module is used for receiving the actual vibration value V1 measured by the blade vibration measurement module, and performing evaluation analysis by taking the actual vibration value V1 as a fatigue degree reference basis of the turbine blade to obtain the residual life y of the turbine blade.
Further, in the steam turbine blade life evaluation system of the present invention, the blade remaining life analysis module performs evaluation analysis according to a blade life evaluation algorithm to obtain a remaining life y of the steam turbine blade:
when V1 > V:
when V1 is less than or equal to V:
y＝A-T
in the formula, A is the theoretical design life duration of the turbine blade, V is the theoretical vibration value of the turbine blade, T is the operated duration of the turbine blade, and k is a corresponding empirical coefficient designed for different blades.
Further, in the system for evaluating a service life of a turbine blade according to the present invention, the blade vibration measuring module obtains an actual vibration value V1 of the turbine blade according to a blade vibration algorithm:
V1＝2πf*Δt*r
in the formula, f is the rotating speed frequency of the steam turbine obtained according to the rotating speed signal, Δ t is the time difference of the same blade passing through the vibration sensor twice obtained according to the vibration signal, and r is the rotating radius of the steam turbine blade.
Further, in the system for evaluating the service life of the turbine blade, the blade vibration measuring module comprises a vibration sensor, a rotating speed sensor, a signal acquisition unit and a blade vibration calculating unit; the signal acquisition unit is connected with the vibration sensor, the rotating speed sensor and the blade vibration calculation unit;
the vibration sensor is used for acquiring a vibration analog signal of the turbine blade; the rotating speed sensor is used for acquiring rotating speed analog signals of the turbine blades; the signal acquisition unit is used for carrying out high-speed sampling on the vibration analog signal and the rotating speed analog signal to obtain a vibration digital signal and a rotating speed digital signal; the blade vibration calculation unit is used for obtaining an actual vibration value V1 of the turbine blade according to the vibration digital signal and the rotating speed digital signal, and transmitting the actual vibration value V1 to the blade residual life analysis module.
Further, in the system for evaluating a service life of a turbine blade according to the present invention, the signal acquisition unit includes a first signal acquisition unit and a second signal acquisition unit; the first signal acquisition unit is connected with the vibration sensor, and the second signal acquisition unit is connected with the rotating speed sensor;
the first signal acquisition unit is used for carrying out high-speed sampling on the vibration analog signal to obtain the vibration digital signal, and the second signal acquisition unit is used for carrying out high-speed sampling on the rotating speed analog signal to obtain the rotating speed digital signal.
Further, in the system for evaluating the service life of the turbine blade, the turbine is a nuclear turbine.
Further, in the steam turbine blade life evaluation system according to the present invention, the steam turbine blade is a last stage blade of the nuclear turbine.
The method and the system for evaluating the service life of the turbine blade have the following beneficial effects:
the method can effectively improve the reliability, stability and accuracy of the service life evaluation of the turbine blade, can perform data collection and service life instant evaluation on the operating state of the turbine blade under any operating condition, simplifies the process of evaluating the service life of each blade of the turbine, and improves the evaluation efficiency.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a method for evaluating the life of a turbine blade according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a system for evaluating the life of a turbine blade according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a steam turbine blade life assessment system provided by an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a system for evaluating the life of a turbine blade according to an embodiment of the present invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
In a preferred embodiment, and with reference to FIG. 1, the present embodied method for evaluating turbine blade life includes the steps of:
s1, obtaining a vibration signal and a rotating speed signal of a turbine blade. Specifically, the vibration signal of the turbine blade comprises a blade vibration analog signal acquired by a sensor and a vibration digital signal sampled at a high speed by a signal acquisition unit; similarly, the rotating speed signal of the turbine blade also comprises a rotating speed analog signal acquired by the sensor and a rotating speed digital signal sampled by the signal acquisition unit at a high speed.
And S2, obtaining an actual vibration value V1 of the turbine blade according to the vibration signal and the rotating speed signal. Specifically, the blade vibration algorithm may measure an actual vibration value V1 of the blade from the vibration signal and the rotational speed signal.
And S3, taking the actual vibration value V1 as a fatigue degree reference basis of the turbine blade, and evaluating through a blade residual life algorithm to obtain the residual life y of the turbine blade.
Optionally, the life evaluation method of the embodiment may be applied to various steam turbines, such as thermal power turbines and the like, and especially may focus on performing remaining life evaluation on a last stage blade of a nuclear power turbine.
In the embodiment, the reliability, the stability and the accuracy of the service life evaluation of the turbine blade can be effectively improved, and the data collection and the service life instant evaluation of the operation state of the turbine blade under any operation working condition can be carried out. Meanwhile, the process of evaluating the service life of each blade of the steam turbine is simplified, and the evaluation efficiency is improved.
In some embodiments of the method for evaluating a life of a turbine blade, the step S3 further includes:
and taking the actual vibration value V1 as a fatigue degree reference basis of the turbine blade, and evaluating according to a blade life evaluation algorithm to obtain the residual life y of the turbine blade:
when V1 > V:
when V1 is less than or equal to V:
y＝A-T
in the formula, A is the theoretical design life time of the turbine blade, V is the theoretical vibration value of the turbine blade, T is the running time of the turbine blade, and k is the corresponding empirical coefficient designed for different blades. Alternatively, the remaining lifetime y is in units of hours.
In the embodiment, the reliability, the stability and the accuracy of the service life evaluation of the turbine blade can be effectively improved by using the blade service life evaluation algorithm, and the data collection and the service life instant evaluation can be performed on the operation state of the turbine blade under any operation working condition. Meanwhile, the process of evaluating the service life of each blade of the steam turbine is simplified, and the evaluation efficiency is improved.
In some embodiments of the method for evaluating a life of a turbine blade, step S2 further includes:
obtaining an actual vibration value V1 of the turbine blade through a blade vibration algorithm:
V1＝2πf*Δt*r
in the formula, f is the rotating speed frequency of the steam turbine obtained according to the rotating speed signal, Δ t is the time difference of the same blade passing through the vibration sensor twice obtained according to the vibration signal, and r is the rotating radius of the steam turbine blade. In particular, the same blade may be any blade of the steam turbine or of the last stage of the steam turbine.
In the embodiment, the actual vibration value of the turbine blade can be accurately measured through the blade vibration algorithm, and the residual life evaluation algorithm is favorable for obtaining more stable and reliable residual life of the turbine blade.
In another preferred embodiment, referring to fig. 2, the system for evaluating the life of a steam turbine blade of the present embodiment includes a blade vibration measuring module and a blade remaining life analyzing module, wherein the blade vibration measuring module is connected to the blade remaining life analyzing module. Preferably, the steam turbine of the present embodiment may be, but is not limited to, a nuclear steam turbine, and the turbine blade may also be, but is not limited to, a last stage blade of the nuclear steam turbine.
The blade vibration measuring module is used for obtaining and measuring an actual vibration value V1 of the turbine blade according to the vibration signal and the rotating speed signal of the turbine blade.
And the blade residual life analysis module is used for receiving the actual vibration value V1 measured by the blade vibration measurement module, and evaluating and analyzing the actual vibration value V1 as a fatigue degree reference basis of the turbine blade to obtain the residual life y of the turbine blade.
In the embodiment, the reliability, the stability and the accuracy of the service life evaluation of the turbine blade can be effectively improved, and the data collection and the service life instant evaluation of the operation state of the turbine blade under any operation working condition can be carried out. Meanwhile, the process of evaluating the service life of each blade of the steam turbine is simplified, and the evaluation efficiency is improved.
In some embodiments of the system for evaluating a turbine blade life, the blade remaining life analysis module performs evaluation analysis according to a blade life evaluation algorithm to obtain a remaining life y of the turbine blade:
when V1 > V:
when V1 is less than or equal to V:
y＝A-T
in the formula, A is the theoretical design life time of the turbine blade, V is the theoretical vibration value of the turbine blade, T is the running time of the turbine blade, and k is the corresponding empirical coefficient designed for different blades. Alternatively, the remaining lifetime y is in units of hours.
In the embodiment, the blade remaining life analysis module evaluates the remaining life of each blade, particularly the last-stage blade, of the steam turbine by using the blade life evaluation algorithm, so that the reliability, the stability and the accuracy of the service life evaluation of the steam turbine blade can be effectively improved, and the data collection and the service life instant evaluation of the operation state of the steam turbine blade under any operation condition can be performed. Meanwhile, the process of evaluating the service life of each blade of the steam turbine is simplified, and the evaluation efficiency is improved.
In the steam turbine blade life evaluation system of some embodiments, the blade vibration measurement module obtains an actual vibration value V1 of the steam turbine blade according to a blade vibration algorithm:
V1＝2πf*Δt*r
in the formula, f is the rotating speed frequency of the steam turbine obtained according to the rotating speed signal, Δ t is the time difference of the same blade passing through the vibration sensor twice obtained according to the vibration signal, and r is the rotating radius of the steam turbine blade. In particular, the same blade may be any one of the blades of the last stage blade of the steam turbine or of the steam turbine.
In this embodiment, the blade vibration measurement module can accurately measure the actual vibration value of the turbine blade by using the blade vibration algorithm, which is beneficial to the residual life evaluation algorithm to obtain more stable and reliable residual life of the turbine blade.
In the steam turbine blade life evaluation system of some embodiments, referring to fig. 3, the blade vibration measurement module includes a vibration sensor, a rotational speed sensor, a signal acquisition unit, and a blade vibration calculation unit. The signal acquisition unit is connected with the vibration sensor, the rotating speed sensor and the blade vibration calculation unit.
The vibration sensor is used for acquiring vibration analog signals of the turbine blade. The rotating speed sensor is used for acquiring rotating speed analog signals of the turbine blades. The signal acquisition unit is used for carrying out high-speed sampling on the vibration analog signal and the rotating speed analog signal to obtain a vibration digital signal and a rotating speed digital signal. The blade vibration calculating unit is used for obtaining an actual vibration value V1 of the turbine blade according to the vibration digital signal and the rotating speed digital signal, and transmitting the actual vibration value V1 to the blade residual life analyzing module, and optionally, the blade vibration calculating unit can also store the calculated data.
Specifically, the signal acquisition unit can further obtain the time difference of the turbine blade passing through the vibration sensor and the rotating speed frequency of the turbine according to the acquired signals. Alternatively, the sensor may be, but is not limited to, a magnetoresistive blade gap sensor, an eddy current sensor, an electrodynamic sensor, a capacitive sensor, and the like.
In the embodiment, the system feeds back the service life of the turbine blade in a mode of monitoring the real-time vibration value of the turbine blade in real time, the data is more real and credible, the algorithm coefficient can be adjusted through long-term data, the reliability, the stability and the accuracy of service life evaluation of the turbine blade are further improved, and data collection and service life instant evaluation can be carried out on the operation state of the turbine blade under any operation working condition. Meanwhile, the process of evaluating the service life of each blade of the steam turbine is simplified, and the evaluation efficiency is improved.
In some embodiments of the steam turbine blade life assessment system, and referring to fig. 4, the signal acquisition unit includes a first signal acquisition unit and a second signal acquisition unit. The first signal acquisition unit is connected with the vibration sensor, and the second signal acquisition unit is connected with the rotating speed sensor.
The first signal acquisition unit is used for carrying out high-speed sampling on the vibration analog signal to obtain a vibration digital signal, and the second signal acquisition unit is used for carrying out high-speed sampling on the rotating speed analog signal to obtain a rotating speed digital signal. Preferably, the first signal acquisition unit can adopt a 24-bit high-precision AD chip to perform high-speed sampling on the vibration analog signal of the turbine blade at a sampling rate of 240 kbps; the second signal acquisition unit comprises a rotating speed special hardware circuit and a high-precision AD chip, and can also sample the rotating speed signal of the turbine blade at a sampling rate of 240kbps at a high speed. It should be noted that the sampling rate and the accuracy of the AD chip can be selected or set according to the specific requirements of the turbine and the system.
In the embodiment, the system can effectively improve the reliability, stability and accuracy of service life evaluation of the turbine blade, particularly the last-stage blade of the nuclear turbine, and can perform data collection and service life instant evaluation on the operation state of the turbine blade under any operation condition.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should be covered by the claims of the present invention.
Claims (10)
1. A method for evaluating the life of a turbine blade, comprising the steps of:
s1, obtaining a vibration signal and a rotating speed signal of a turbine blade;
s2, obtaining an actual vibration value V1 of the turbine blade according to the vibration signal and the rotating speed signal;
and S3, evaluating by taking the actual vibration value V1 as a fatigue degree reference basis of the turbine blade to obtain the residual life y of the turbine blade.
2. The steam turbine blade life assessment method according to claim 1, wherein said step S3 further comprises:
taking the actual vibration value V1 as a fatigue degree reference basis of the turbine blade, and evaluating according to a blade life evaluation algorithm to obtain the residual life y of the turbine blade:
when V1 > V:
when V1 is less than or equal to V:
y＝A-T
in the formula, A is the theoretical design life duration of the turbine blade, V is the theoretical vibration value of the turbine blade, T is the operated duration of the turbine blade, and k is a corresponding empirical coefficient designed for different blades.
3. The steam turbine blade life assessment method according to claim 1 or 2, wherein said step S2 further comprises:
obtaining an actual vibration value V1 of the turbine blade through a blade vibration algorithm:
V1＝2πf*Δt*r
in the formula, f is the rotating speed frequency of the steam turbine obtained according to the rotating speed signal, Δ t is the time difference of the same blade passing through the vibration sensor twice obtained according to the vibration signal, and r is the rotating radius of the steam turbine blade.
4. The system for evaluating the service life of the turbine blade is characterized by comprising a blade vibration measuring module and a blade residual life analyzing module, wherein the blade vibration measuring module is connected with the blade residual life analyzing module;
the blade vibration measuring module is used for obtaining and measuring an actual vibration value V1 of the turbine blade according to a vibration signal and a rotating speed signal of the turbine blade;
the blade residual life analysis module is used for receiving the actual vibration value V1 measured by the blade vibration measurement module, and performing evaluation analysis by taking the actual vibration value V1 as a fatigue degree reference basis of the turbine blade to obtain the residual life y of the turbine blade.
5. The steam turbine blade life assessment system according to claim 4, wherein said blade remaining life analysis module performs an assessment analysis according to a blade life assessment algorithm to obtain a remaining life y of said steam turbine blade:
when V1 > V:
when V1 is less than or equal to V:
y＝A-T
in the formula, A is the theoretical design life duration of the turbine blade, V is the theoretical vibration value of the turbine blade, T is the operated duration of the turbine blade, and k is a corresponding empirical coefficient designed for different blades.
6. The steam turbine blade life assessment system according to claim 4 or 5, wherein said blade vibration measurement module obtains an actual vibration value V1 of said steam turbine blade according to a blade vibration algorithm:
V1＝2πf*Δt*r
in the formula, f is the rotating speed frequency of the steam turbine obtained according to the rotating speed signal, Δ t is the time difference of the same blade passing through the vibration sensor twice obtained according to the vibration signal, and r is the rotating radius of the steam turbine blade.
7. The steam turbine blade life assessment system of claim 4, wherein said blade vibration measurement module comprises a vibration sensor, a rotational speed sensor, a signal acquisition unit, a blade vibration calculation unit; the signal acquisition unit is connected with the vibration sensor, the rotating speed sensor and the blade vibration calculation unit;
the vibration sensor is used for acquiring a vibration analog signal of the turbine blade; the rotating speed sensor is used for acquiring rotating speed analog signals of the turbine blades; the signal acquisition unit is used for carrying out high-speed sampling on the vibration analog signal and the rotating speed analog signal to obtain a vibration digital signal and a rotating speed digital signal; the blade vibration calculation unit is used for obtaining an actual vibration value V1 of the turbine blade according to the vibration digital signal and the rotating speed digital signal, and transmitting the actual vibration value V1 to the blade residual life analysis module.
8. The steam turbine blade life assessment system according to claim 7, wherein said signal acquisition unit comprises a first signal acquisition unit and a second signal acquisition unit; the first signal acquisition unit is connected with the vibration sensor, and the second signal acquisition unit is connected with the rotating speed sensor;
the first signal acquisition unit is used for carrying out high-speed sampling on the vibration analog signal to obtain the vibration digital signal, and the second signal acquisition unit is used for carrying out high-speed sampling on the rotating speed analog signal to obtain the rotating speed digital signal.
9. The system of claim 4 wherein said turbine is a nuclear turbine.
10. The steam turbine blade life assessment system according to claim 9, wherein said steam turbine blade is a last stage blade of said nuclear turbine.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211619871.2A CN115906324A (en) | 2022-12-15 | 2022-12-15 | Method and system for evaluating service life of turbine blade |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211619871.2A CN115906324A (en) | 2022-12-15 | 2022-12-15 | Method and system for evaluating service life of turbine blade |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115906324A true CN115906324A (en) | 2023-04-04 |
Family
ID=86489660
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211619871.2A Pending CN115906324A (en) | 2022-12-15 | 2022-12-15 | Method and system for evaluating service life of turbine blade |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115906324A (en) |
-
2022
- 2022-12-15 CN CN202211619871.2A patent/CN115906324A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101718251B1 (en) | Method and system for monitoring rotating blade health | |
| CN109186744B (en) | Turbine blade crack evaluation system and turbine blade crack early warning method | |
| JP2824523B2 (en) | Method and apparatus for measuring fatigue of vibrating member | |
| JPH0315698B2 (en) | ||
| WO2020006971A1 (en) | Multi-scale real-time monitoring and analysis method for mechanical seal | |
| CN102498372A (en) | Method for determining cracks in turbine blades | |
| US10018596B2 (en) | System and method for monitoring component health using resonance | |
| JP2008515295A (en) | Industrial data compression system and method | |
| CN111323158B (en) | Real-time stress monitoring system of coupling bolt and safety coefficient detection method | |
| CN111504647A (en) | AR-MSET-based performance degradation evaluation method for rolling bearing | |
| CN104215323A (en) | Method for determining sensitivity of each sensor in mechanical equipment vibrating sensor network | |
| CN110990978A (en) | Bolt state monitoring method and device | |
| CN115539139A (en) | Method for monitoring safety of steam turbine | |
| CN103335842A (en) | Bearing fault recognition system based on probability density curve and method thereof | |
| Wu et al. | A hybrid fault diagnosis approach for blade crack detection using blade tip timing | |
| CN115906324A (en) | Method and system for evaluating service life of turbine blade | |
| CN104236871A (en) | Crack failure recognition method for semi-open type impeller of centrifugal compressor | |
| CN111173687A (en) | On-line monitoring device and method for crack damage of wind power fan blade | |
| KR20150019360A (en) | Method for evaluating age effect of low pressure turbine | |
| CN114486252A (en) | Rolling bearing fault diagnosis method based on vector modulus maximum envelope | |
| Tamura et al. | Non-contact vibration measurement of the rotor blades that play a pivotal role in the reliability of gas turbines | |
| CN114562429A (en) | Wind turbine generator blade damage early warning method based on clearance and sound vibration monitoring | |
| CN113686378A (en) | Method for monitoring running state of top cover of water turbine | |
| CN113944600A (en) | Method and system for detecting fan main bearing fault by utilizing stress wave technology | |
| CN112130468A (en) | Device and method for simulating temperature of outer surface of high-pressure rotor of nuclear turbine |
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 |