JP2009020074A - System and method for estimating remaining life, and computer program and recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To estimate a remaining life of a member exposed to high temperatures in a facility of a power-generating plant or the like without stopping facility operation. <P>SOLUTION: A remaining life estimation system 10 includes a strain measuring control part 210 to which a strain sensor 100 for outputting a signal corresponding to a strain generated in the member exposed to high temperatures is connected, for measuring a strain generated in the member at each prescribed measuring period based on a signal input from the strain sensor 100; a strain history information database 231 for recording accumulation time-strain data pairing an accumulation time t<SB>i</SB>(i=1, etc., n) during which the member is exposed to high temperatures and the strain ε<SB>i</SB>generated in the member during the accumulation time t<SB>i</SB>, and recording newly a pair of the accumulation time t<SB>i</SB>corresponding to a measuring period and the strain ε<SB>i</SB>measured by the strain measuring control part 210, to thereby update the accumulation time-strain data at a prescribed time interval; a strain history information acquisition part 232 for acquiring the accumulation time-strain data on reference to the strain history information database 231; and a remaining life estimation part 240 for estimating the remaining life based on the acquired strain-accumulation time data. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a system and method for estimating the remaining life of members exposed to high temperatures such as boilers, steam turbines, and piping.

Members exposed to high temperatures and high pressures such as boilers and steam turbines in power plants for a long time are damaged by creep and fatigue due to thermal stress during operation. For such a member, so that it can be repaired or replaced in advance, conventionally, the boiler or steam turbine or the like is stopped and the surface is investigated for fatigue with ultrasonic waves, etc. For example, the remaining life diagnosis is performed using the method described in Patent Document 1.
JP 2004-144549 A

  However, in the above method, the remaining life cannot be calculated unless the power plant is stopped and the nondestructive inspection is performed. In addition, in the method in which the power plant is stopped and inspected in this manner, the inspection cannot be performed frequently. Therefore, if the inspection interval becomes longer in the second half of the life, the process proceeds like a type IV creep damage. Early damage could not be found in the previous test, but it can happen in the next test where the damage has progressed.

  The present invention has been made in view of the above problems, and is to enable estimation of the remaining life of a member exposed to high temperatures in facilities such as a power plant without stopping the operation of the facilities.

The remaining life estimation system of the present invention is a system for estimating the remaining life of a member exposed to a high temperature, and is connected to a strain sensor that outputs a signal corresponding to the strain generated in the member, and is input from the strain sensor. A strain measurement control unit for measuring the strain generated in the member at a predetermined measurement time based on the signal, and a cumulative time t _i (i = 1,..., N) of the member exposed to a high temperature; The accumulated time-strain data in which the strain ε _i generated in the member at the accumulated time t _i is paired is recorded, and the accumulated time t _i corresponding to the measurement time is measured by the strain measurement control unit. by and the strain epsilon _i is newly recorded in pairs and, the cumulative time - and strain history information database distortion data is updated at the predetermined time intervals, by referring to the distortion history information database, The accumulated time-distortion data A strain history information acquisition unit to be acquired and a remaining life estimation unit to estimate the remaining life based on the acquired strain-accumulated time data are provided.

In the remaining life estimation system, the remaining life estimation unit calculates accumulated time-strain rate data in which the accumulated time t _i and the strain rate ε ′ _i are paired based on the strain-accumulated time data. A first remaining life calculating means for calculating the remaining life based on the calculated accumulated time-strain rate data by the Monkuman Grant method may be provided.

The remaining life estimation unit calculates strain-strain rate data in which the strain ε _i and the strain rate ε ′ _i are paired based on the accumulated time-strain data, and calculates the calculated strain-strain rate. You may provide the 2nd remaining life calculation means which calculates a remaining life by (omega | ohm) method based on data.

Further, the remaining life estimation unit calculates cumulative time-strain rate data in which the cumulative time t _i and the strain rate ε ′ _i are paired based on the strain-cumulative time data, and calculates the calculated cumulative time. A first remaining life calculating means for calculating a _first remaining life T ₁ by a Monkuman Grant method based on strain rate data, and the accumulated time-strain data ε _i and strain rate ε ′ _i based on the strain data. Strain-strain rate data which is paired with and, based on the calculated strain-strain rate data, a second remaining lifetime calculating means for calculating a _second remaining lifetime T ₂ by the Ω method; The shorter remaining life of the first remaining life T ₁ and the second remaining life T ₂ calculated by one remaining life calculating means and the second remaining life calculating means is adopted as the estimated remaining life. A remaining life determination unit.

Further, the remaining life estimation method of the present invention is connected to a strain sensor that outputs a signal corresponding to a strain generated in a member exposed to a high temperature, and the accumulated time of the member exposed to the high temperature is exposed to a high temperature. A computer having a strain history information database in which accumulated time-strain data in which t _i (i = 1,..., n) and a strain ε _i generated in the member at the accumulated time t _i are paired are recorded. The remaining life of the member is estimated by the computer, wherein the computer measures the strain generated in the member at a predetermined measurement time based on the signal input from the strain sensor, and the strain history information database, a cumulative time t _i corresponding to the measurement time, by newly recorded in pairs and strain epsilon _i where the measured, the cumulative time - the distortion data is updated at the predetermined time interval, The strain history information data The cumulative time-strain data is acquired with reference to a database, and the remaining life is estimated based on the acquired strain-cumulative time data.

Further, the computer program of the present invention is connected to a strain sensor that outputs a signal corresponding to strain generated in a member exposed to a high temperature, and the accumulated time t _{i of the} member exposed to the high temperature is exposed. (I = 1,..., N) and a strain history information database in which accumulated time-strain data in which the strain ε _i generated in the member at the accumulated time t _i is paired are recorded in the computer. A computer program for estimating the remaining life of a member, the step of measuring strain generated in the member at each predetermined measurement time based on a signal input from the strain sensor to the computer, and the strain In the history information database, the cumulative time t _i corresponding to the measurement time and the measured strain ε _i are newly recorded as a pair, whereby the cumulative time-strain data is stored in the history information database. Updating at predetermined time intervals; referring to the strain history information database; obtaining the accumulated time-strain data; estimating a remaining life based on the obtained strain-cumulative time data; Is executed.

  The recording medium of the present invention is characterized in that the above computer program is recorded.

  ADVANTAGE OF THE INVENTION According to this invention, the remaining life of the member exposed to high temperature in facilities, such as a power plant, can be estimated without stopping the driving | operation of the said facility. For this reason, it is possible to detect damage that progresses quickly.

Hereinafter, an embodiment of a remaining life estimation system of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a diagram illustrating a configuration of a remaining life estimation system 10 according to the present embodiment. The remaining life estimation system 10 of this embodiment is for estimating the remaining life of a member that is exposed to high temperatures such as boilers, turbines, and piping in a power plant and causes creep damage.
As shown in the figure, the remaining life estimation system 10 includes a plurality of strain sensors 100 attached to each member for which a remaining life is to be estimated, and a plurality of outputs that amplify and output voltage signals of the strain sensors 100 as appropriate. Amplifier 110, a plurality of converters 120 for A / D converting voltage signals output from each amplifier 110, and a computer 200 to which voltage signals corresponding to the magnitude of distortion in the strain sensor 100 are input from the converter 120. And.

  As the strain sensor 100, a sensor that can accurately measure strain even in a high temperature state is used. As such a strain sensor 100, for example, a capacitance-type strain measuring device proposed by the present applicants in Japanese Patent Application Nos. 2006-144074 and 2006-144075 may be used. The strain sensor 100 outputs a signal corresponding to the magnitude of the strain when the attached portion is strained. The signal output from the strain sensor 100 is appropriately amplified by the amplifier 110, A / D converted by the conversion unit 120, and input to the computer 200.

  In this embodiment, the amplifier 110 and the conversion unit 120 are provided for each strain sensor 100. However, a common amplifier 110 and the conversion unit 120 may be provided for a plurality of strain sensors 100. .

  The computer 200 includes a strain measurement control unit 210, a calibration information database 221, a calibration information acquisition unit 220, a strain history information database 231, a strain history information recording unit 230, a strain history information acquisition unit 232, and remaining life information. A recording unit 260, a remaining life information acquisition unit 262, a remaining life database 261, a remaining life estimation unit 240, an input unit 250, a screen output unit 251, and a print output unit 252 are provided. The functions of these components 210 to 252 are realized by the computer 200 executing a program recorded on a recording medium.

  The calibration information database 221 records in advance calibration information indicating the relationship between the magnitude of the strain for each strain sensor 100 and the output voltage signal obtained by a test at a high temperature. The calibration information acquisition unit 220 can acquire the calibration information with reference to the calibration information database 221.

  Such calibration information recorded in the calibration information database 221 can be confirmed by causing the screen output unit 251 to display the screen on the display unit 253 as follows. First, the operator inputs to the input unit 250 that the calibration information including the designation of the strain sensor 100 for confirming the calibration information is displayed on the screen. When the input unit 250 receives an input to display calibration information including designation of the strain sensor 100 on the screen, the calibration information acquisition unit 220 refers to the calibration information database 221 and acquires calibration information of the specified strain sensor 100. To do. Then, the calibration information acquired by the screen output unit 251 is converted into a format that can be displayed by the display unit 253 which is a display device, and the display unit 253 outputs the screen as shown in FIG.

In the strain history information database 231, for each strain sensor 100, the accumulated time-strain data {(t _i , ε _i ) | i in which the accumulated time and the strain value are paired in association with the identification information of the strain sensor. = 1, 2,..., N} are recorded. The cumulative time is the total operation time of the device including the part to which the strain sensor 100 is attached (that is, the time when this part is exposed to a high temperature), and the start time of this device is recorded in advance. Thus, the time difference between the measurement time and the start time is taken, and the time when the device is stopped is subtracted from this time difference. The stop time is, for example, when a temperature sensor is attached to the apparatus, the temperature measured by the temperature sensor is input to a computer, and the temperature measured by the computer by the temperature sensor becomes equal to or lower than a predetermined temperature. Can be determined automatically by determining that the device is stopped.
Information recorded in the distortion history information database 231 can be acquired from the distortion history information acquisition unit 232. Further, as will be described later, the strain history information recording unit 230 records the strain value newly measured by the strain measurement control unit 210 and the accumulated time as a pair. As a result, the accumulated time-distortion data {(t _i , ε _i ) | i = 1, 2,..., N} recorded in the distortion history information database 231 is updated at predetermined time intervals.

  In the strain measurement control unit 210, a measurement time set for each strain sensor 100 is recorded in advance, and the measurement result of the strain by the corresponding strain sensor 100 is acquired from the conversion unit 120 for each measurement time.

Hereinafter, the flow of processing in which the strain measurement control unit 210 acquires the strain of the member measured by the strain sensor 100 and updates the strain history information database 231 will be described with reference to the flowchart shown in FIG.
First, in step 50, the strain measurement control unit 210 acquires a measurement signal transmitted from the strain sensor 100 to be measured via the amplifier 110 and the conversion unit 120 when the measurement time comes.

At the same time, in step 52, the strain measurement control unit 210 acquires calibration information corresponding to the corresponding strain sensor 100. That is, first, the strain measurement control unit 210 transmits an information request signal including identification information of the strain sensor 100 to be measured to the calibration information acquisition unit 220. When receiving the command signal, the calibration information acquisition unit 220 refers to the calibration information database 221 to acquire the calibration information of the strain sensor 100 corresponding to the identification information of the strain sensor 100 included in the information request signal, and performs strain measurement control. To the unit 210.
Next, in step 54, when the distortion measurement control unit 210 receives the calibration information, the distortion measurement control unit 210 converts the acquired measurement signal into a distortion value based on the calibration information.

  In this way, the strain measured by the strain measurement control unit 210 is transmitted to the strain history information recording unit 230 as a pair with the accumulated time corresponding to the measurement time. In step 56, the distortion history information recording unit 230 records the received distortion and the accumulated time in the distortion history information database 231 as a pair.

For each of the above strain sensor 100 to process by repeating, the strain history information database 231, for each strain sensor 100, the accumulated time and distortion values and the accumulated time paired - distortion data {(t _i , Ε _i ) | i = 1, 2,..., N}.

  In this way, the accumulated time-distortion data recorded in the distortion history information database 231 can be confirmed by causing the display unit 253 connected to the screen output unit 251 to display the screen. First, the operator inputs from the input unit 250 that the accumulated time-strain data including the designation of the strain sensor 100 is displayed on the screen, and the input unit 250 responds to the strain history information acquisition unit 232 accordingly. A request signal including designation of identification information of the sensor 100 is transmitted. The strain history information acquisition unit 232 acquires the accumulated time-distortion data of the strain sensor 100 specified by the request signal, and supplies the acquired accumulated time-distortion data to the screen output unit 251. When receiving the accumulated time-distortion data, the screen output unit 251 displays the screen on the display unit 253, for example, as shown in FIG.

  The remaining life estimation unit 240 includes a first remaining life calculation unit 241, a second remaining life calculation unit 242, and a determination unit 243. The first remaining life calculation unit 241 calculates the remaining life by the Monkuman Grant method. Further, the second remaining life calculation unit 242 calculates the remaining life by the Ω method. Then, the determination unit 243 determines the remaining life based on the calculation results of the first remaining life calculation unit 241 and the second remaining life calculation unit 242.

  In the remaining life information database 261, remaining life information including the remaining lifetime of each member is recorded by the remaining life information recording unit 260. The remaining lifetime information acquisition unit 262 can acquire the remaining lifetime information with reference to the remaining lifetime information database 261.

  Hereinafter, the flow of processing in which the remaining life estimation unit 240 estimates the remaining life based on the accumulated time-distortion data will be described with reference to the flowchart shown in FIG. The following processing is performed by the computer 200 executing a computer program recorded on a recording medium.

First, in step 10, the input unit 250 receives input of designation information of a part that is a target of remaining life estimation.
Next, in step 12, the strain history information acquisition unit 232 refers to the strain history information database 231, and acquires the accumulated time-strain data of the strain sensor taken in the portion corresponding to the designation information.

Next, in step 14, the first remaining life calculation unit 241 calculates the remaining life based on the acquired accumulated time-distortion data by the Monkuman Grant method.
The Monk Man grant method is calculated by Equation (1) below remaining life T ₁ of the member.
In the equation, ε represents strain [%], ε′min represents the minimum value (1 / time) of the strain rate, tr represents the rupture time, and t represents the accumulated time.

  Hereinafter, a method in which the first remaining life calculation unit 241 in step 14 calculates the remaining life by the Monkuman Grant method will be described in detail. FIG. 6 is a flowchart showing a flow of calculating the remaining life by the Monkuman Grant method in step 14. In addition, the process which the 1st remaining life calculation part 241 performs in a figure is shown with a continuous line, and the process which the other structure part performs is described with a broken line.

First, in step 100, based on the accumulated time-strain data {(t _i , ε _i ) | i = 1,..., N}, the accumulated time-strain rate data {( t _i , ε ′ _i ) | i = 1,..., n} are calculated. Note that the strain rate may be calculated by dividing the amount of change in strain in the previous and subsequent measurement data by the interval of the previous and subsequent accumulated time, as in the following equation, for example.

In step 120, the screen output unit 251 displays the accumulated time-strain rate data obtained in this way as a graph on the display unit 253. FIG. 7 is an example of a screen display of accumulated time-distortion rate data by the screen output unit 251. As shown in the figure, the screen output unit 251 displays a graph with the logarithm of strain rate on the vertical axis and the logarithm of accumulated time on the horizontal axis. As shown in the graph, the logarithm of the strain rate is a substantially constant value (that is, the graph is distributed in the horizontal direction) when the logarithm of the accumulated time is equal to or less than log (T _A ). If it exceeds, it increases in proportion to the logarithm of the accumulated time.

Next, in step 102, the constant const in the equation (1) is determined. The constant const is a constant determined by the characteristics of the metal for which the remaining life is calculated, and is set in the first remaining life calculation unit 241 in advance. The value can be changed by inputting this value into the input unit 250.
In step 122, the screen output unit 251 displays the constant const determined in this way together with the above graph.

Next, in step 104, ε′min in the equation (1) is determined. For example, in consideration of data variation, ε′min is an approximate straight line (straight line parallel to the horizontal axis) of data in a region where the logarithmic value of the strain rate is substantially constant in the graph shown in FIG. What is necessary is just to calculate and to calculate based on this approximate straight line.
In step 124, the screen output unit 251 displays ε′min determined in step 104 together with the above graph.

Next, in step 106, together with the substituting constant const and ε'min that the determined in equation (1), into equation (1) the latest t _i as t, and calculates the remaining life T ₁ of the member . Then, in step 108, the screen output unit 251, a remaining life T ₁ of the calculated members displayed together with the graph above.

Then, in step 110, the remaining life information recording unit 260, a remaining life T ₁ which is calculated as described above, is recorded together with the constant const and ε'min used when its remaining life information database 261.

Returning to FIG. 5, in step 16, the second remaining life calculating unit 242 calculates the remaining life T ₂ by the Ω method. Note that either the process in step 14 or the process in step 16 may be performed in advance or in parallel.
Hereinafter, the Ω method will be described in detail with reference to FIG. 8 a flow for calculating the remaining life T _2.
First, in the Ω method, strain-strain rate logarithmic data {(ε _i , ln (ε ′ _i )) | i = 1,..., In which strain ε and natural logarithm ln (ε ′) of strain rate are paired. Since n} is required, in step 200, strain-strain rate logarithmic data {(ε _i , ln (ε ′ _i )) | i = 1,..., n} is calculated as accumulated time-strain data.
As a method of calculating the natural logarithm of the strain rate, for example, a method of calculating the natural logarithm ln (ε _i ′) of the strain rate by the following equation (3) may be used.

FIG. 9 is a graph showing the strain-strain rate logarithmic data calculated as described above, and the vertical axis represents the natural logarithm of the strain rate and the horizontal axis represents the strain. As shown in the figure, the strain - strain rate logarithmic data, in the region of the strain epsilon is less than the first value epsilon _A is a constant natural logarithm ln strain rate (Ipushiron') is (i.e., inclination 0), and the a value of 1 epsilon _a above, and in the region of less than a second value epsilon _B, increases at a predetermined inclination with respect to the strain epsilon, the second value epsilon _B or more areas, to increase even greater slope.

In the Ω method, the remaining life T ₂ is calculated by the following equation (4). In the formula, α represents a constant, and ε ′ represents a strain rate. In the formula, tr represents the rupture time, and t represents the cumulative operation time. In addition, Ω is an increase in the natural logarithm ln (ε ′) of the strain rate relative to the strain ε after the natural logarithm ln (ε ′) of the strain rate is increased with respect to the increase of the strain ε in the above graph. Indicates the percentage.

In the present embodiment, such a value of Ω is calculated as follows.
First, in step 202 in FIG. 8, the input unit 250 accepts an input for designating an approximate width s and an approximate function that are necessary when calculating an approximate function that approximates the strain-strain rate logarithmic data in step 104.

Next, in step 204, the remaining life calculation unit 240 calculates an approximate function that approximates the strain-strain rate logarithmic data. In this embodiment, assuming that the approximate function indicating the tendency of strain-strain rate logarithmic data is unknown, for each point of the strain-strain rate logarithmic data, the approximate function is calculated using the surrounding strain-strain rate logarithmic data. Adopt the desired method. That is, for each i, the least squares method is applied to 2s + 1 pieces of data from (ε _i−s , ln (ε ′ _i−s )) to (ε _{i + s} , ln (ε ′ _{i + s} )). Apply to find the approximate function f _i (ε _i ). The set {ε _i , f _i (ε _i ) | i = 1,..., N} obtained as a result is an approximate function that approximates the strain-strain rate logarithmic data. Note that the approximate width s may be determined in consideration of the accuracy of approximation, calculation time, and the like, and an exponential function, a polynomial function, or the like can be adopted as the approximate function. The strain-strain rate logarithmic data may be previously organized by data mining. Further, when the tendency of the entire strain-strain rate logarithmic data is known, the entire data may be approximated by an approximation function such as an exponential function or a polynomial suitable for approximating this.

Next, in step 206, it determines the point at which the slope of the approximate function calculated above exceeds a predetermined value, the value of strain epsilon this point the first value epsilon _A. That is, the gradient f ′ _i (ε _i ) at each ε _i of the approximate function f _i (ε _i ) is calculated, and the point at which the gradient f ′ _i (ε _i ) is equal to or greater than a predetermined value is obtained. Incidentally, the inclination _{f'i (ε i)} may also be determined differential function of the approximation function _{f i (ε i),} and calculate the difference between the values of neighboring epsilon _i of the approximation function _{f i (ε i)} Good.

Next, in step 208, the remaining life calculation unit 240 has a slope approximating the strain-strain rate logarithmic data in the region where the strain ε is equal to or less than the first value ε _A (that is, parallel to the horizontal axis in the graph). N) Approximate straight line A is obtained by the method of least squares. The recent straight line A is necessary for displaying on the graph, and is not necessary for calculating the value of Ω.

Next, step 210-216 Oite, remaining life calculation unit 240, the distortion of the area strain epsilon is the first value epsilon _A more - obtain an approximate function that approximates the strain rate log data. In the present embodiment, an approximate line B that approximates a region where the strain ε is greater than or equal to the first value ε _{A and} less than the second value ε _B and an approximate line that approximates a region where the strain ε is greater than or equal to the second value ε _B. C is approximated by

First, the strain-strain rate logarithmic data in a region where the strain ε is equal to or greater than the first value ε _A is {ε _i , ln (ε ′ _i ) | i = x,..., N}, and k = x + 1,. The following steps 210 to 214 are performed for each k of n-1.
In Step 210, a temporary approximate straight line B ′ _k that approximates {ε _i , ln (ε ′ _i ) | i = x,..., K} is obtained as the strain-strain rate logarithmic data in the region where x ≦ i ≦ k. calculate. The approximate straight line is assumed to be ln (ε ′ _i ) = u _k (ε _i ).
In step 212, a temporary approximate straight line C ′ approximating {ε _i , ln (ε ′ _i ) | i = k + 1,..., N} is obtained as the strain-strain rate logarithmic data in the region where k + 1 ≦ i ≦ n. _k is calculated. This approximate straight line is assumed to be ln (ε ′ _i ) = v _k (ε _i ).

Next, step 214 Oite, the approximate line _B'k and _C'k of these temporary distortion - is calculated by the following equation the square sum S _k of the residual of the strain rate logarithmic data.

In step 216, the residual sum of squares S _k (k = x + 1,..., N−) obtained by performing the above steps 210 to 214 for each k of k = x + 1,. 1) among the sought k when smallest, adopt the approximate straight line _B'k and _C'k provisional at this time as an approximation straight line B and C. Further, the value of the strain ε at the intersection of the approximate lines B and C is the second value ε _B described above.

In step 218, the slope of the approximate straight line B is set to a value of Ω.
Next, in step 220, the remaining life is calculated by the equation (4) using the calculated value of Ω. Note that the constant α in the formula is usually calculated as 1.0, and can be changed as appropriate.
Next, in step 222, the screen output unit 251 the remaining life T ₂ of the member that is calculated in this way together with the graph, for example, as shown in FIG. 10, to the screen display on the display unit 253.

In step 224, the remaining life information recording unit 260 records the T ₂ calculated as described above in the remaining life information database 261 together with the value of Ω and the value of α at that time.

Returning to FIG. 5, in step 18, the determination unit 243 compares the remaining life T ₁ calculated by the Monkuman Grant method in step 14 with the remaining life T ₂ calculated by the Ω method in step 16. The shorter one is adopted as the remaining life T.

  Next, in step 20, the screen output unit 251 displays the remaining life adopted as described above on the display unit 253 together with a graph indicating accumulated time-distortion data, for example, as shown in FIG. Further, the data such as the remaining life estimated in this way can be printed out by the print output unit 252.

  As described above, according to the remaining life estimation method of the present embodiment, it is set in advance using a strain sensor that can accurately measure strain even at high temperatures attached to each part of the power plant. Since the strain at each part is measured at each measurement time and the remaining life can be estimated based on this measurement information, the remaining life can be calculated without stopping the power plant.

  In addition, since measurement can be performed without shutting down the power plant in this way, by setting the measurement time interval appropriately short, for example, even in the case of fast progress damage such as type IV creep damage. Since the damage can be detected before it progresses and this can be reflected in the estimation of the remaining lifetime, the estimation accuracy of the remaining lifetime is improved.

  In addition, in the Monkuman Grant method, the remaining life can be accurately calculated from the initial stage to the middle stage of the total life of the member, but the remaining life tends to be largely calculated in the later stage. Further, in the Ω method, the remaining life can be accurately calculated from the middle to the later stage of the total life of the member, but the remaining life tends to be calculated to be large in the initial stage. For this reason, as in this embodiment, the remaining life is calculated using the Monkuman Grant method and the Ω method, and the shorter of the remaining lives calculated by the respective methods is adopted as the remaining life. The estimation accuracy can be improved.

  In addition, the remaining life information recorded in the remaining life information database 261 as described above is acquired by the remaining life information acquisition unit 262, and the calculated remaining life and the constants const and ε′min in the monk Langrant method, the Ω method By comparing the value of Ω and the constant α, the constant const and the value of the constant α that can estimate the remaining life more accurately can be studied. Also, based on this information, it is possible to examine the accuracy of the remaining life estimation by using the Monkuman Grant method and the Ω method for the accumulated time, and to select any method for each accumulated time.

  In the present embodiment, the remaining life is calculated by the Monkuman Grant method and the Ω method. However, the present invention is not limited to this, and the remaining life may be calculated by only one of the methods. However, the calculation accuracy can be improved by calculating the remaining life by both as described above and adopting the shorter of the calculated remaining lives. Furthermore, the remaining life calculation method is not limited to these, and any method that can be calculated based on data in which the measurement time and the strain are paired can be employed.

It is a figure which shows the structure of the remaining life estimation system of this embodiment. It is an example of the screen output of fair information. It is a flowchart which shows the flow which a distortion measurement control part measures the distortion which arose in the member with the distortion sensor, and updates a distortion history information database. It is an example of the screen output of accumulation time-distortion information. It is a flowchart which shows the flow in which a remaining life estimation part estimates a remaining life based on accumulated time-distortion data. It is a flowchart which shows the flow in which a 1st remaining life calculation part calculates the remaining life by a Monkuman Grant method. It is an example of a screen display of accumulated time-strain rate data. It is a flowchart which shows the flow in which a 2nd remaining life calculation part calculates a remaining life by (omega | ohm) method. It is a graph which shows strain-strain rate logarithmic data. It is an example of a screen display of strain-strain rate data. It is an example of the screen display which displayed the remaining life with the graph of the distortion with respect to accumulation time.

Explanation of symbols

10 Remaining Life Estimation System 100 Strain Sensor 110 Amplifier 120 Conversion Unit 200 Computer 210 Strain Measurement Control Unit 220 Calibration Information Acquisition Unit 221 Calibration Information Database 230 Strain History Information Recording Unit 231 Strain History Information Database 232 Strain History Information Acquisition Unit 240 Remaining Life Estimation Unit 241 first remaining life calculation unit 242 second remaining life calculation unit 243 determination unit 250 input unit 251 screen output unit 252 print output unit 253 display unit 260 remaining lifetime information recording unit 261 remaining lifetime information database 262 remaining lifetime information acquisition Part

Claims (7)

A system for estimating the remaining life of a member exposed to high temperature,
A strain sensor that outputs a signal corresponding to the strain generated in the member; and a strain measurement control unit that measures the strain generated in the member at a predetermined measurement period based on the signal input from the strain sensor; ,
Cumulative time-strain data in which the cumulative time t _i (i = 1,..., N) of the member exposed to a high temperature and the strain ε _i generated in the member at the cumulative time t _i are paired. are recorded, and the cumulative time t _i corresponding to the measurement time, by been a strain epsilon _i measured by the strain measurement control unit is newly recorded in pairs, the cumulative time - distortion data said predetermined A strain history information database updated at a time interval of
With reference to the strain history information database, a strain history information acquisition unit that acquires the accumulated time-strain data;
A remaining life estimation system comprising: a remaining life estimation unit that estimates a remaining life based on the acquired strain-accumulated time data. The remaining life estimation unit includes:
The strain - on the basis of the cumulative time data, the cumulative time t _i and strain rate Ipushiron' _i and the cumulative time paired - calculates strain rate data,
2. The remaining life estimation system according to claim 1, further comprising a first remaining life calculating means for calculating the remaining life based on the calculated accumulated time-strain rate data by a Monkuman Grant method. The remaining life estimation unit includes:
Based on the accumulated time-strain data, strain-strain rate data in which the strain ε _i and the strain rate ε ′ _i are paired is calculated,
2. The remaining life estimation system according to claim 1, further comprising second remaining life calculating means for calculating the remaining life based on the calculated strain-strain rate data by an Ω method. The remaining life estimation system according to claim 1,
The remaining life estimation unit includes:
The strain - on the basis of the cumulative time data, the cumulative time t _i and strain rate Ipushiron' _i and the cumulative time paired - strain rate data is calculated, and the cumulative time the calculated - on the basis of the strain rate data, Monkuman A first remaining life calculating means for calculating a _first remaining life T ₁ by the Grant method;
Based on the accumulated time-strain data, strain-strain rate data in which the strain ε _i and the strain rate ε ′ _i are paired is calculated. Based on the calculated strain-strain rate data, the second is calculated by the Ω method. Second remaining life calculating means for calculating the remaining life T ₂ of
The shorter remaining life of the first remaining life T ₁ and the second remaining life T ₂ calculated by the first remaining life calculating means and the second remaining life calculating means is set as the estimated remaining life. A remaining life estimation system comprising: a remaining life determination unit to be employed. A strain sensor that outputs a signal corresponding to the strain generated in the member exposed to high temperature is connected, and the accumulated time t _i (i = 1,..., N) of the member exposed to high temperature exposed to high temperature. And a method of estimating the remaining life of the member by a computer having a strain history information database in which accumulated time-strain data in which the strain ε _i generated in the member at the accumulated time t _i is paired Because
The computer is
Based on the signal input from the strain sensor, measure the strain generated in the member at every predetermined measurement time,
In the strain history information database, the accumulated time t _i corresponding to the measurement time and the measured strain ε _i are newly recorded as a pair, whereby the accumulated time-strain data is stored in the predetermined time interval. Update with
Refer to the strain history information database to obtain the accumulated time-strain data,
A remaining life estimation method, wherein a remaining life is estimated based on the acquired strain-accumulated time data. A strain sensor that outputs a signal corresponding to the strain generated in the member exposed to high temperature is connected, and the accumulated time t _i (i = 1,..., N) of the member exposed to high temperature exposed to high temperature. When the cumulative time t distortion generated in the member at the _i epsilon _i and the cumulative time paired - in order to estimate the remaining life of the member to a computer equipped with strain history information database distortion data is recorded A computer program,
In the computer,
Based on a signal input from the strain sensor, measuring strain generated in the member at every predetermined measurement time;
In the strain history information database, the accumulated time t _i corresponding to the measurement time and the measured strain ε _i are newly recorded as a pair, whereby the accumulated time-strain data is stored in the predetermined time interval. The steps to update with
Referring to the strain history information database, obtaining the accumulated time-strain data;
And a step of estimating a remaining life based on the acquired strain-accumulated time data.   A recording medium in which the computer program according to claim 6 is recorded.