Sealing component inspection method, device and storage medium storing inspection program

Abstract

The gas permeation rate of multiple rubber seals manufactured to the same specifications was measured using a helium leak test. For each seal, sample data was obtained, consisting of pairs of the baseline CT measurement value during an unstable period A, where the permeation rate increases, and the measurement value during a stable period B, where the permeation rate stabilizes (sample acquisition). Based on the acquired sample data, the relationship between the baseline CT measurement value and the measurement value during the stable period was defined using a linear function (function definition). The gas permeation rate of a seal manufactured to the same specifications as the seal was also measured using a helium leak test. Using the defined linear function, the measurement value during the stable period B was estimated from the measurement value during the unstable period A of the seal being inspected (leakage estimation).

Description

Technical Field

[0001] The present invention relates to a sealing component inspection method and an inspection device for inspecting the permeation leakage of the sealing component, and a storage medium storing an inspection program for the sealing component. Background Art

[0002] For example, in polymer electrolyte fuel cells, sealing components play a crucial role in separating the oxygen and hydrogen flow paths. This type of fuel cell consists of a stacked structure consisting of multiple fuel cell units, each sandwiched between a membrane electrode assembly (MEA) and a pair of separators. The MEA is a structure in which an electrolyte membrane is sandwiched between an anode electrode (anode) and a cathode electrode (cathode). These electrodes have a stacked structure consisting of a catalyst layer and a gas diffusion layer (GDL). The separators are in close contact with the gas diffusion layer, forming hydrogen and oxygen flow paths between them.

[0003] Fuel cells use flow paths formed in separators to supply hydrogen to the anode and oxygen to the cathode, thereby generating an electrochemical reaction opposite to the electrolysis of water and generating electricity.

[0004] The structure of such a solid polymer fuel cell requires reliable separation of hydrogen and oxygen flow paths, and the sealing components that separate these flow paths require high sealing performance. Hydrogen sealing is particularly important from both a safety perspective and power generation efficiency perspective.

[0005] On the other hand, the rubber used as the material for the sealing member is gas permeable. Therefore, in a solid polymer fuel cell, not only does gas often leak through the gap between the sealing member and another component, but hydrogen can also leak through the sealing member (see paragraph

[0004] of Patent Document 1).

[0006] Prior art literature

[0007] Patent Literature

[0008] Patent Document 1: Japanese Patent Application Laid-Open No. 2020-159935

[0009] Patent Document 2: Japanese Patent Application Laid-Open No. 2016-106215

[0010] Non-patent literature

[0011] Non-patent document 1: Takahashi Akira and Ogasawara Goro, "Gas Permeability Test," Journal of the Rubber Association of Japan, Vol. 49, No. 8, 1976, pp. 39-47 Summary of the Invention

[0012] Technical problem to be solved by the invention

[0013] Transmission leakage from sealing components can be detected using a helium leak test using a helium leak detector. Helium leak testing has high sensitivity even in leak detection, and can accurately detect even small leaks. While there is no explicit description of transmission leakage detection, Patent Document 2, which discloses a solid polymer fuel cell, describes gas leakage detection from sealing components using a helium leak detector (see paragraph

[0003] of the aforementioned document).

[0014] Helium leak testing using a helium leak detector has the advantage of being able to detect minute leaks. However, it takes time to accurately measure the leak amount. For example, for sealing components such as those used in polymer electrolyte fuel cells, the inspection time required is 7 to 10 minutes. Assuming three inspections are performed on a single inspection object, the total time required is 21 to 30 minutes.

[0015] Helium leak testing takes time because it measures the amount of leakage by detecting helium contained in the test gas that has permeated the test object, and it requires waiting until the permeation rate of the test gas stabilizes. JIS-Z2331 specifies various methods for helium leak testing, but regardless of the method, the principle of detecting helium contained in the test gas that has permeated the test object remains the same, resulting in a long test time.

[0016] Expected reduction in inspection time.

[0017] Solutions for solving technical problems

[0018] One embodiment of a sealing component inspection method includes the following steps: measuring the gas permeation rate of multiple rubber sealing components manufactured to the same specifications through a helium leak test; acquiring, for each sealing component, sample data consisting of a pair of a measurement value at a predetermined baseline in an unstable range where the permeation rate increases and a measurement value in a stable range where the permeation rate is stable; defining a relationship between the measurement value at the baseline and the measurement value in the stable range using a linear function based on the acquired multiple sample data; measuring the gas permeation rate of a sealing component to be inspected, manufactured to the same specifications as the sealing component, through a helium leak test; and using the linear function, estimating the measurement value in the stable range from the measurement value at the baseline of the sealing component to be inspected.

[0019] One form of a sealing component inspection device includes: an input unit that inputs a measurement value obtained by measuring the gas permeation rate of a rubber sealing component through a helium leak test; a sample generation unit that generates, for each measurement value of a plurality of sealing components manufactured using the same specifications, sample data consisting of a pair of a measurement value at a predetermined baseline in an unstable range where the permeation rate increases and a measurement value in a stable range where the permeation rate is stable; a definition unit that defines, based on the plurality of generated sample data, a relationship between the measurement value at the baseline and the measurement value in the stable range using a linear function; and an estimation unit that uses the linear function to estimate the measurement value in the stable range from the measurement value at the baseline of a sealing component that is an inspection target and is manufactured using the same specifications as the sealing component.

[0020] One form of a sealing component inspection program is installed in a computer and executes the following functions in the computer: a function of accepting input of measurement values obtained by measuring the gas permeation rate of multiple rubber sealing components manufactured with the same specifications through a helium leak test; a function of generating, for each of the sealing components, sample data consisting of a pair of measurement values at a predetermined baseline in an unstable range in which the permeation rate increases and a measurement value in a stable range in which the permeation rate is stable; and a function of defining the relationship between the measurement values at the baseline and the measurement values in the stable range using a linear function for the generated multiple sample data; a function of accepting input of measurement values obtained by measuring the gas permeation rate of a sealing component to be inspected, manufactured with the same specifications as the sealing component, through a helium leak test; and a function of estimating the measurement value in the stable range from the measurement value at the baseline of the sealing component to be inspected, using the linear function.

[0021] Effects of the Invention

[0022] The time required for the penetration inspection for inspecting the penetration leakage of the sealing member can be shortened. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a graph illustrating a gas permeation curve of a sealing member.

[0024] Figure 2 This is a graph illustrating gas permeation curves of a plurality of individually different sealing members.

[0025] Figure 3 This is a block diagram showing the hardware configuration of a helium leak detector and a computer required for implementing a sealing component inspection method as one embodiment.

[0026] Figure 4 This is a graph showing a plurality of sample data, with the reference measurement values in the unstable interval plotted on the Y-axis and the stable measurement values plotted on the X-axis, and a regression line based on these sample data.

[0027] Figure 5 This is a schematic diagram that graphically illustrates a process of estimating a measurement value of a stable section of a sealing component to be inspected, based on a gas permeation curve of the sealing component.

[0028] Figure 6 This is a schematic diagram that graphically illustrates a process of estimating the measured value of the stable section of the seal member to be inspected on the regression line of the linear function. DETAILED DESCRIPTION

[0029] The embodiment will be described with reference to the drawings. Figure 3 A method and apparatus for inspecting sealing components for detecting permeation leakage of a sealing component (not shown) by performing a helium leak test (hereinafter also referred to as "leak detector 201"). This embodiment also describes a computer program used in these methods and apparatuses.

[0030] Follow the instructions for the next items.

[0031] 1. Regularity of gas permeability curve

[0032] 2. Inspection principle

[0033] 3. Inspection device

[0034] 4. Inspection method

[0035] (1) Sample acquisition process

[0036] (2) Function definition process

[0037] (3) Leakage estimation process

[0038] 5. Summary

[0039] 1. Regularity of gas permeability curve

[0040] When rubber sealing components are used in polymer electrolyte fuel cells, for example, to inspect the gas permeability of a seal that separates a hydrogen flow path from an oxygen flow path, a helium leak test (hereinafter also referred to as a "leak test") is performed using the leak detector 201 .

[0041] like Figure 1 As shown in FIG. 1 , when the measured value of the sealing member obtained from the output of the leak detector 201 is expressed as a function on the time axis, after passing through an unstable range A in which the permeation amount increases, it shifts to a stable range B in which the permeation amount stabilizes. As described above, this is because the principle of the leak detector 201, which determines the amount of leakage by detecting helium contained in the test gas that has permeated the sealing member, requires time for the permeation amount of the test gas that has permeated the sealing member to stabilize.

[0042] Therefore, the gas permeation curve 11 with the horizontal axis representing time and the vertical axis representing measurement value becomes as follows: Figure 1 As is apparent from the theoretical formula for gas permeation described on pages 39-40 of Non-Patent Document 1, for example, the gas permeation curve 11 can be expressed by the following theoretical formula that defines the permeation at a certain time.

[0043]

Number 1

[0044]

[0045] Q: Transmittance

[0046] t: time

[0047] D: Diffusion coefficient

[0048] A: Transmission cross-sectional area

[0049] w: Sealing contact width (penetration length)

[0050] Gas concentration (c) per unit seal contact width (x=w)

[0051] P: Transmission coefficient

[0052] Δp: Helium pressure

[0053] The diffusion coefficient D and the permeability coefficient P are values specific to the material of the sealing member, etc., and are the main factors determining the gas permeability curve 11 .

[0054] During an actual leak test, the gas concentration c and helium pressure Δp gradually increase immediately after the start and eventually stabilize, thereby generating an unstable period A where the permeation rate increases and a stable period B where the permeation rate stabilizes.

[0055] 2. Inspection principle

[0056] Since the gas permeation curve 11 is expressed by the theoretical formula (1), any sealing member has a similar shape.

[0057] Figure 2The gas permeation curves 11a, 11b, 11c, ... 11n shown in the graph are gas permeation curves 11 obtained by measuring the gas permeation rates of a plurality of sealing components manufactured with the same specifications but with different individual components using a leak detector 201. Although the values are dispersed due to the individual differences of the sealing components, it is known that the similarity of the curve shapes is maintained. The inspection method of this embodiment focuses on this point, and in the measurement values of the sealing component to be inspected based on the leak detector 201, the measurement values of the stable interval B are estimated based on the measurement values of the unstable interval A (see Figure 5 、 Figure 6 ).

[0058] To estimate the measured value in stable interval B, the inspection method of this embodiment implements three steps: a sample acquisition step, a function definition step, and a leakage estimation step. The inspection device of this embodiment includes an input unit and a sample generation unit that support the sample acquisition step, a definition unit that supports the function definition step, and an estimation unit that supports the leakage estimation step.

[0059] In the sample acquisition step, the gas permeation rate Q(t) of a plurality of rubber sealing components manufactured with the same specifications is measured by a helium leak test. For each sealing component, the reference time CT in the unstable range A where the permeation rate increases is obtained (refer to Figure 5 ) and the measured value of the stable interval B in which the permeation amount is stable (refer to Figure 4 ).

[0060] In the function definition step, the relationship between the measured value at the reference time CT in the unstable section A and the measured value in the stable section B is defined by a linear function based on a plurality of sample data SD.

[0061] In the leakage estimation process, the gas permeation rate Q(t) of the sealing component to be inspected, which is manufactured with the same specifications as the sealing component, is measured using a helium leak test. A defined linear function is used to estimate the measurement value of the stable range B based on the measurement value of the unstable range A of the sealing component to be inspected.

[0062] 3. Inspection device

[0063] In this embodiment, the inspection method based on the above three steps is executed by an information processing device such as a personal computer (PC) or a tablet terminal and a leak detector 201. Here, the case of using the computer 101 as an information processing device is taken as an example to describe its architecture.

[0064] like Figure 3As shown, the architecture of computer 101 is no different from that of a typical personal computer. CPU 102 is the core, executing various processes and centrally controlling various components. Main memory 103, flash memory 104, HDD 105, communication interface (IF) 106 for connecting to a network, and I / O 107 for connecting to peripheral devices are connected to CPU 102.

[0065] Input device 109 is, for example, a keyboard and mouse for data input, and another example is a tablet computer provided on display device 108. When a tablet computer or a smartphone is used as an information processing device, a tablet computer is used as input device 109. Display device 108 and input device 109 constitute a user interface for computer 101.

[0066] Installed in the HDD 105 of the computer 101 is an inspection program PG, a computer program used for inspecting sealing components. The inspection program PG is, for example, conventional spreadsheet software capable of performing linear function calculations based on the values input to each cell. Upon startup, all or part of the inspection program PG is read into the main memory 103 and causes the CPU 102 to execute various processes supporting the implementation of the sealing component inspection method, specifically, the first through third steps described below.

[0067] The inspection program PG is stored not only in the HDD 105 but also in various storage media such as an optical medium, a semiconductor storage device, and a data transmission medium, thereby being portable or enabling data transfer.

[0068] The leak detector 201 includes a display 202 on which the measurement results of the helium leak test are displayed.

[0069] 4. Inspection method

[0070] A method for inspecting the sealing member supported by various processes executed by the computer 101 will be described in order according to the inspection program PG.

[0071] (1) Sample acquisition process

[0072] This step is to obtain the values of the explanatory variables and the target variables of the linear function defined in the next step (function definition step) as sample data SD. The leak detector 201 measures the gas permeation amount Q(t) of each of a plurality of different sealing components to obtain the sample data SD.

[0073] Leak detector 201 displays on display 202 the measured values collected from multiple sealing components during leak testing, specifically, the gas permeation rate Q(t) at regular intervals. The permeation rate Q(t) data is a series of data acquired at a predetermined period, from an unstable interval A, where the permeation rate rises, to a stable interval B, where the permeation rate stabilizes.

[0074] When measuring by the leak detector 201, the test program PG is preliminarily started in the computer 101. As described above, the test program PG is spreadsheet software capable of executing function calculations, and upon startup, a plurality of cells (not shown) are displayed in a matrix on the display device 108.

[0075] The operator uses paired data of the reference time CT measurement value in the unstable interval A where the value rises and the measurement value in the stable interval B where the value is stable in the permeation amount Q(t) displayed on the display 202 of the leak detector 201 as sample data SD, and inputs these values into the unit of the spreadsheet software.

[0076] At this time, the input device 109 of the computer 101 functions as an input unit that inputs a measured value of the gas permeation amount Q(t) of the sealing member measured in the leak test.

[0077] The reference time CT refers to the time when a predetermined time has passed after the leak detector 201 performs the leak test. The reference time CT means the reference time CT in both the sample acquisition process and the leakage estimation process described later. Figure 5 The same applies to the reference time CT. However, the reference time CT does not need to be exactly the same in seconds, and a certain degree of deviation in the time range is allowed. For example, a deviation of several seconds to several tens of seconds is not a problem.

[0078] The number of sample data SD to be input is at least 30. That is, the operator inputs the value of the permeation amount Q(t) constituting the sample data SD into the computer 101 for each of at least 30 rubber sealing members manufactured with the same specifications.

[0079] The CPU 102 of the computer 101 temporarily stores the input sample data SD in, for example, a work area (not shown) of the main memory 103 according to the inspection program PG, and prepares for execution of a function definition step as the next step.

[0080] In this way, the computer 101 executes the function of the sample generation unit, which generates sample data SD that is a pair of measurement values of a predetermined reference time CT in an unstable interval A where the permeation amount Q(t) increases and a measurement value in a stable interval B where the permeation amount is stable, for each measurement value of a plurality of sealing components manufactured with the same specifications.

[0081] (2) Function definition process

[0082] The inspection program PG defines the measured values of the reference time CT in the unstable interval A and the measured values in the stable interval B using a linear function based on the plurality of sample data SD temporarily stored in the working area of the flash memory 104. In this case, the inspection program PG can be configured to automatically execute all or part of the series of processing using a program such as a macro, or can be configured to execute all or part of the series of processing based on commands manually input by an operator.

[0083] As an example, the test program PG causes the CPU 102 to execute the following computational operation: using the measured values of the reference time CT in the unstable interval A included in the sample data SD as explanatory variables and the measured values in the stable interval B as target variables, a regression line RL is obtained from the plurality of sample data SD (see Figure 4 ), and find the linear function based on the regression line RL.

[0084] Figure 4 This graph shows a plurality of sample data SD and a regression line RL based on these sample data SD, with the measured values of the permeation Q(t) at the reference time CT in the unstable interval A plotted on the Y-axis and the corresponding measured values of the permeation Q(t) of the same sealing component in the stable interval B plotted on the X-axis. This graph is conceptual and, for ease of viewing, the number of sample data SD is reduced.

[0085] Figure 4 In the graph of

[0086] Y=aX+b……(2)

[0087] In this embodiment, since the measured value (Y value) of the reference time CT in the unstable interval A is used as the explanatory variable and the measured value (X value) in the stable interval B is used as the target variable, the formula (2) is used after being modified as shown in the following formula (3).

[0088] X=(Yb) / a……(3)

[0089] To determine the constant a (slope) and constant b (y-intercept) in equations (2) and (3), the inspection program PG causes CPU 102 to perform a least squares method, i.e., a calculation process that minimizes the sum of the squares of the errors in each sample data SD. CPU 102 calculates the slope of constant a using the following equation (4), which is obtained by dividing the covariance of X and Y by the variance of X.

[0090] [Number 2]

[0091]

[0092] n: total number of sample data (X, Y)

[0093] x i : Each value of sample data X

[0094] The average value of the sample data X

[0095] y i : Each value of sample data Y

[0096] The mean value of the sample data Y

[0097] The intercept of the constant b is calculated by substituting the average value of the measured values (Y values) of the reference CT into Y in the above formula (2), substituting the average value of the measured values (X values) of the stable interval B into X, and substituting the constant a obtained by formula (4) into a.

[0098] In this embodiment, the variation of the sample data SD is taken into consideration and the data with large variation is eliminated by using the correlation coefficient and the coefficient of determination. As an example of a method for this, when defining the linear function of equation (2), sample data SD with a correlation coefficient R of 0.9 or more is used.

[0099] The correlation coefficient R can be obtained by dividing the covariance between X and Y by the product of the standard deviation of X and the standard deviation of Y. The test program PG calculates the correlation coefficient R by causing the CPU 102 to execute the calculation of the following equation (5).

[0100] [Number 3]

[0101]

[0102] The inspection program PG causes the CPU 102 to calculate the correlation coefficient R by calculating the equation (5), and defines the linear function of the equation (2) using the sample data SD having the correlation coefficient R of 0.9 or more.

[0103] As another example of a method for eliminating sample data SD with a large amount of deviation, the coefficient of determination R can be used when defining the linear function of formula (2). 2 The sample data SD is 0.9 or more. The coefficient of determination R 2 It can be found by squaring the correlation coefficient R.

[0104] As another example of a method for eliminating sample data SD with a large amount of deviation, it is also possible to use a method with a correlation coefficient R of 0.9 or more and a determination coefficient R of 0.9 or more when defining the linear function of formula (2). 2 The sample data SD is 0.9 or more.

[0105] Through the above processing, the linear function of equation (2) that defines the values of the constants a (slope) and b (y-intercept) is obtained. This linear function is stored in the flash memory 104, for example.

[0106] In this way, the computer 101 executes the function of a definition unit that defines the relationship between the measurement value of the reference time CT in the unstable interval A and the measurement value in the stable interval B using a linear function based on the generated plurality of sample data SD.

[0107] (3) Leakage estimation process

[0108] like Figure 5 and Figure 6 As shown, in this step, the sealing component to be inspected is inspected, and the measured value of the stable interval B is estimated based on the measured value of the gas permeation amount Q(t) at a predetermined reference time CT. The inspection target is a sealing component manufactured using the same specifications as the plurality of sealing components subjected to the leak test in the sample acquisition step.

[0109] To execute the leakage estimation step, the measured value of the gas permeation rate Q(t) of the seal component to be inspected at the reference time CT is substituted into the linear function Y of equation (2) defined in the function definition step. Once the operator obtains the measured value of the gas permeation rate Q(t) at the reference time CT in the unstable interval A displayed on the display 202 of the leak detector 201, the operator inputs this value into a unit of the spreadsheet software serving as the inspection program PG. The input data is temporarily stored in, for example, the working area of the main memory 103.

[0110] When the inspection program PG is instructed to execute the leakage estimation process, for example, through a program such as a macro or a command manually input by an operator, it calls the linear function (see equation (2)) stored in the flash memory 104. The value of the gas permeation amount Q(t) at the reference time CT, temporarily stored in the work area, is substituted into the Y of the linear function. The measured value (Y value) at the reference time CT is used as an explanatory variable. Therefore, by placing the X value, which serves as the target variable, on the left and transforming equation (2) into equation (3), it is possible to estimate the measured value (X value) of the permeation amount Q(t) in the stable interval B.

[0111] In this way, the computer 101 functions as an estimating unit that estimates the measurement value of the stable period B from the measurement value of the reference-time CT in the unstable period A of the seal member to be inspected, which is manufactured with the same specifications as the seal member, using a linear function.

[0112] The inspection program PG displays the estimated value of the gas permeation amount Q in the stable range B for the inspected sealing component on the display device 108. The operator refers to the displayed estimated value and determines that the inspection is passed if the estimated value does not exceed the required specifications of the sealing component to be inspected (refer to Figure 6 ).

[0113] 5. Summary

[0114] In the function definition step and the leakage estimation step, a simple linear regression analysis method using a linear function is used to estimate the measured value of the permeation amount Q(t) in the stable period B based on the value of the permeation amount Q(t) measured by CT at the reference time in the unstable period A. Therefore, according to this embodiment, when performing a helium leak test using the helium leak detector 201, the measured value of the sealing component to be inspected in the stable period B can be estimated before the measured value changes from the unstable period A to the stable period B. This shortens the time required for permeation inspection to detect permeation leakage in the sealing component.

[0115] During implementation, for example, the leak detector 201 may be connected to the computer 101, and when one or both of the sample acquisition step and the leakage estimation step are performed, the data on the gas permeation amount Q(t) may be automatically transmitted from the leak detector 201 to the computer 101 as appropriate. This processing can be performed if the inspection program PG is also installed in the leak detector 201 or if the leak detector 201 is capable of transmitting data to the computer 101 in response to a request from the computer 101.

[0116] Description of Reference Numerals

[0117] 11 (11a, 11b, 11c, ... 11n) Gas permeation curves

[0118] 101 Computer

[0119] 102CPU

[0120] 103 Main Memory

[0121] 104 Flash Memory

[0122] 105HDD

[0123] 106 communication interface

[0124] 107I / O

[0125] 108 display device

[0126] 109 Input Device

[0127] 201 Helium Leak Detector (Leak Detector)

[0128] A non-stable interval

[0129] B Stable range

[0130] CT baseline time

[0131] RL regression line

[0132] SD sample data

Claims

1. A method for inspecting a sealing component, wherein: The gas permeation rate of multiple rubber sealing components manufactured with the same specifications was measured using a helium leak test. For each of the sealing components, sample data is obtained, which is a pair of a measurement value at a predetermined reference time in an unstable period in which the permeation amount increases and a measurement value in a stable period in which the permeation amount is stable. Based on the acquired plurality of sample data, a linear function is used to define the relationship between the measurement value at the reference time and the measurement value in the stable interval. The amount of gas permeation of a sealing component to be inspected, which is manufactured with the same specifications as the sealing component, is measured by a helium leak test. The linear function is used to estimate the measurement value of the stable interval from the measurement value of the seal member serving as the inspection object at the reference time.

2. The method for inspecting a sealing component according to claim 1, wherein: The linear function uses the measurement value at the reference time in the sample data as an explanatory variable and the measurement value in the stable interval as a target variable. The measured value of the stable section of the seal member to be inspected is estimated by simple linear regression analysis using the linear function.

3. The method for inspecting a sealing component according to claim 1, wherein: The linear function is obtained by the least square method.

4. The method for inspecting a sealing component according to claim 2, wherein: The linear function is obtained by the least square method.

5. The method for inspecting a sealing component according to any one of claims 1 to 3, wherein: The linear function has a correlation coefficient of 0.9 or more.

6. The method for inspecting a sealing component according to any one of claims 1 to 3, wherein: The linear function has a coefficient of determination of 0.9 or more.

7. The method for inspecting a sealing component according to any one of claims 1 to 3, wherein: The linear function has a correlation coefficient of 0.9 or greater and a determination coefficient of 0.9 or greater.

8. A sealing component inspection device, wherein: include: an input unit for inputting a measurement value obtained by measuring the amount of gas permeation through the rubber sealing component through a helium leak test; a sample generating unit for generating, for each measurement value of a plurality of sealing members manufactured with the same specifications, sample data consisting of a pair of a measurement value at a predetermined reference time in an unstable interval in which the permeation amount increases and a measurement value in a stable interval in which the permeation amount is stable; a defining unit that defines, based on the generated plurality of sample data, a relationship between the measurement value at the reference time and the measurement value in the stable interval using a linear function; and The estimating unit estimates the measurement value of the stable interval based on the measurement value of the reference seal component as an inspection target manufactured with the same specifications as the seal component, using the linear function.

9. The sealing component inspection device according to claim 8, wherein: The definition unit defines the linear function using the measurement value at the reference time in the sample data as an explanatory variable and the measurement value in the stable interval as a target variable. The estimating unit estimates a measured value of a stable interval of the seal member to be inspected by a simple linear regression analysis using the linear function.

10. A storage medium storing a sealing component inspection program, wherein the sealing component inspection program is installed in a computer and performs the following functions in the computer: A function for accepting input of measured values obtained by measuring the gas permeation rates of a plurality of rubber sealing components manufactured to the same specifications through a helium leak test; A function for generating, for each of the sealing members, sample data in which a measurement value at a predetermined reference time in an unstable period in which the permeation amount increases is paired with a measurement value in a stable period in which the permeation amount is stable. A function for defining a relationship between the measurement value at the reference time and the measurement value in the stable interval using a linear function based on the generated plurality of sample data; a function for receiving an input of a measurement value obtained by measuring, through a helium leak test, the amount of gas permeation of a sealing component to be inspected, which is manufactured to the same specifications as the sealing component; A function of estimating the measurement value in the stable interval from the measurement value of the seal member serving as the inspection object at the reference time using the linear function.

11. The storage medium storing the sealing component inspection program according to claim 10, wherein: The linear function is defined by using the measurement value at the reference time in the sample data as an explanatory variable and the measurement value in the stable interval as a target variable. The measured value of the stable section of the seal member to be inspected is estimated by simple linear regression analysis using the linear function.

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