Research Papers

Temperature Variation Compensation Using Correlation in Pressure Change Leakage Tests

[+] Author and Article Information
Ippei Torigoe

Department of Mechanical System Engineering,
Kumamoto University,
Kurokami 2-39-1, Kumamoto-shi,
Kumamoto 860-8555, Japan
e-mail: torigoe@kumamoto-u.ac.jp

Kei Nakatsuma, Yasutaka Ohshima, Ikuro Mizumoto, Kazuya Mori

Department of Mechanical System Engineering,
Kumamoto University,
Kurokami 2-39-1, Kumamoto-shi,
Kumamoto 860-8555, Japan

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received November 5, 2014; final manuscript received September 12, 2015; published online October 12, 2015. Assoc. Editor: Sergey Nersesov.

J. Dyn. Sys., Meas., Control 138(1), 011002 (Oct 12, 2015) (8 pages) Paper No: DS-14-1455; doi: 10.1115/1.4031664 History: Received November 05, 2014; Revised September 12, 2015

The conventional pressure change method used in leakage tests is sensitive to the ambient temperature variation. We propose a new method using a correlation technique to compensate for temperature variation in pressure change leakage detection. In the proposed method, gas within a vessel is compressed in such a sequence that it shows no correlation with the ambient temperature variation. The extent of leakage is estimated from the correlation between the pressure variation in the vessel and the compression sequence signal. Experimental results showed that leakage can be successfully detected by the proposed method without being affected by temperature variation.

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Fig. 1

Vessel with a leak

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Fig. 2

Block diagram of the vessel system

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Fig. 3

Conceptual diagram of a leakage tester using correlation

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Fig. 4

Waveforms of signals for an alternating compression/decompression test: (a) x(t), (b) ∫x(t) dt, (c) y(t), and (d) dy/dt

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Fig. 5

Schematic diagram of the experimental apparatus

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Fig. 6

Waveform of the pressure within the piping under test

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Fig. 7

Schematic diagram of the process of lock-in leakage detection: (a) ∫x(t) dt, (b) g(t), (c) y(t), (d) dy/dt, (e) y(t), and (f)dy/dt

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Fig. 8

Results of lock-in leakage detection experiment

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Fig. 9

Temperature variations applied to the piping (resulting pressure within the piping is shown): (a) air conditioned, (b) pattern 1, and (c) pattern 2

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Fig. 10

Results of leakage detection using pseudorandom noise modulation

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Fig. 11

Pseudorandom compression sequence and the corresponding reference signal: (a) ∫x(t) dt and (b) g(t)

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Fig. 12

(a) Frequency response of the equivalent filter for lock-in detection (tg/t0 = 1/6). (b)Conceptual diagram of the spectra of signal and noise.



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