Temperature Variation Compensation Using Correlation in Pressure Change Leakage Tests

Torigoe, Ippei; Nakatsuma, Kei; Ohshima, Yasutaka; Mizumoto, Ikuro

doi:10.1115/1.4031664

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…For the situation in which temperature variation is not approximated by a polynomial and it is difficult to make τ n /τ T sufficiently small, the successive tests are not effective and it is preferable to choose alternative temperature compensation methods [9], [10].…”

Section: Discussionmentioning

confidence: 99%

“…1). From the state of the gas within the container, we have the following equation for time variation of pressure [9]:…”

Section: Pressure Within a Containermentioning

confidence: 99%

“…Accordingly, we also assume that the change in the state of the gas is small in comparison with its average value and that the gas flow through the leak is laminarwhen this is not the case, the leak can be readily detected using a conventional single leak test or other means. Furthermore, we assume that ambient temperature also changes slowly-when this is not the case, the pressure change leak test should not be applied, or it is desirable to choose alternative temperature compensation methods [9], [10].…”

Section: Pressure Within a Containermentioning

confidence: 99%

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Pressure Change Leak Detection Based on Lagrange Interpolation Formula

Ohno¹,

Nakatsuma

Ohshima

et al. 2017

SICE Journal of Control, Measurement, and System Integration

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: The pressure change method of leak testing has the serious disadvantage of being susceptible to ambient temperature change. Two or more successive leak tests are typically performed to eliminate the error caused by such change. We propose a new leak detection scheme in which multiple successive leak tests are performed on the basis of the Lagrange interpolation formula. With this scheme, we can optimally perform multiple successive leak tests for a given temperature variation. After describing the theoretical aspects of the proposed scheme, we will show experimental results of leak detection using a prototype leak detector and model piping. Results indicate that a leak can be detected using the proposed scheme without being affected by the given temperature variation.

show abstract

Section: Discussionmentioning

confidence: 99%

“…1). From the state of the gas within the container, we have the following equation for time variation of pressure [9]:…”

Section: Pressure Within a Containermentioning

confidence: 99%

Section: Pressure Within a Containermentioning

confidence: 99%

See 1 more Smart Citation

Pressure Change Leak Detection Based on Lagrange Interpolation Formula

Ohno¹,

Nakatsuma

Ohshima

et al. 2017

SICE Journal of Control, Measurement, and System Integration

Self Cite

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Pressure change leak detection using exponential analysis

Ohno

Nakatsuma

Ohshima

et al. 2017

Transactions of the JSME (In Japanese)

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The pressure change leak test detects a leak from the pressure drop observed after the container under test is filled with compressed gas and then closed. This method has the serious disadvantage of being sensitive to the temperature variation in the target container. We propose a new method using exponential analysis to compensate for exponential temperature variation in pressure change leak detection. In the proposed method, two successive leak tests are performed at different initial compression pressure. Exponential parameters of the temperature variation in the gas within the container are determined from the pressure signal in the first test, and the pressure in the second test is predicted using these parameters. The leak in the container is estimated from the difference between the predicted pressure and the measured one. Experimental results using a prototype leak detector and model piping showed that leak can be successfully detected without being affected by the given exponential temperature variation. With the proposed method, it was able to shorten the total test time by as much as 65% in comparison with the case in which a conventional leak test is performed after waiting until the exponential temperature variation settles. An algorithm using Discrete Fourier Transform for estimating exponential parameters from finite length data of pressure signal is also presented.

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Temperature Variation Compensation Using Correlation in Pressure Change Leakage Tests

Cited by 2 publications

References 1 publication

Pressure Change Leak Detection Based on Lagrange Interpolation Formula

Pressure Change Leak Detection Based on Lagrange Interpolation Formula

Pressure change leak detection using exponential analysis

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