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2013 | OriginalPaper | Buchkapitel

65. State Identification of Automatic Gauge Control Hydraulic Cylinder Using Acoustic Emission

verfasst von : Hongzhi Chen, Chao Wu, Yanguang Sun, Hua Zhao

Erschienen in: Proceedings of 2013 Chinese Intelligent Automation Conference

Verlag: Springer Berlin Heidelberg

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Abstract

The growing requirements of steel products qualities bring even tricky restrictions to the hydraulic cylinder which acts as a screw down to maintain the rolling spaces precisely. However, faults and disfunctions are unavoidable and bring underlying safety issues. Working with un-expected loading is one of major impact that may cause catastrophic consequence happen to the cylinder, as the classical diagnostic process to-some-extent lack of cross-validating and time-consuming, the paper proposes the potentials of using acoustic emission to fill the dilemmas. The works include the data acquisition process to record the ultrasound acoustic signals from the hydraulic cylinder, application of modified image based acoustic emission approach to generate visual effects, as well as the application of principal component analysis to project the profiles onto the 3D plane for further analyses. Through the analysis of image based profiles, the subtle differences of various cylinder conditions can be examined using the pixel and intensity values. By assessing the projection of profiles in the principal component space, a clear trajectory can be observed with normal and overload conditions allocated upon the positive and negative sides of the axis. The result provided not only the potential of using acoustic emission for dynamic state identification of the subtle changes, but also opens up the possibility of preventive measures to the cylinder at risks.

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Literatur
1.
Zurück zum Zitat Stepanov A, Zinchenko S, Efimov S et al (2005) Main trends in the growth of converter steelmaking at the company severstal. Metallurgist 49:380–382CrossRef Stepanov A, Zinchenko S, Efimov S et al (2005) Main trends in the growth of converter steelmaking at the company severstal. Metallurgist 49:380–382CrossRef
2.
Zurück zum Zitat Liu H (2012) Application of predicted extrapolation control strategy in hot strip rolling mills gauge system. Proc World Automat Cong (WAC) 1–4 Liu H (2012) Application of predicted extrapolation control strategy in hot strip rolling mills gauge system. Proc World Automat Cong (WAC) 1–4
3.
Zurück zum Zitat Wang H, Rong Y, Cui J et al (2010) Study on knowledge processing of fault diagnosis for hydraulic AGC system. In: 2nd IEEE international conference on information management and engineering (ICIME), pp 1–3 Wang H, Rong Y, Cui J et al (2010) Study on knowledge processing of fault diagnosis for hydraulic AGC system. In: 2nd IEEE international conference on information management and engineering (ICIME), pp 1–3
4.
Zurück zum Zitat Wang H, Rong Y, Liu S et al (2010) Identification for hydraulic AGC system of strip mill based on neural networks. Intl Conf Comput Desgn Appl (ICCDA) 22:377–380 Wang H, Rong Y, Liu S et al (2010) Identification for hydraulic AGC system of strip mill based on neural networks. Intl Conf Comput Desgn Appl (ICCDA) 22:377–380
5.
Zurück zum Zitat Dong M, Liu C, Li G (2010) Robust fault diagnosis based on nonlinear model of hydraulic gauge control system on rolling mill. IEEE Trans Contr Syst Tech 18:510–515CrossRef Dong M, Liu C, Li G (2010) Robust fault diagnosis based on nonlinear model of hydraulic gauge control system on rolling mill. IEEE Trans Contr Syst Tech 18:510–515CrossRef
6.
Zurück zum Zitat Wang X, Liu C, Li M (2010) Sensors fault diagnosis of hydraulic automatic gauge control system based on wavelet neural network. In: IEEE international conference on electrical and control engineering (ICECE), pp 3009–3012 Wang X, Liu C, Li M (2010) Sensors fault diagnosis of hydraulic automatic gauge control system based on wavelet neural network. In: IEEE international conference on electrical and control engineering (ICECE), pp 3009–3012
7.
Zurück zum Zitat Wang X, Zhang K (2012) Sensors fault diagnosis of hydraulic automatic gauge control system based on neural network optimized by genetic algorithm. In: IEEE international conference on oxide materials for electronic engineering (OMEE), pp 114–117 Wang X, Zhang K (2012) Sensors fault diagnosis of hydraulic automatic gauge control system based on neural network optimized by genetic algorithm. In: IEEE international conference on oxide materials for electronic engineering (OMEE), pp 114–117
8.
Zurück zum Zitat Ye W, Xu Z, Deng K (2008) The fault and diagnosis for hydraulic system of metallurgical machinery. China High Tech Enterp 12:124–125 (in Chinese) Ye W, Xu Z, Deng K (2008) The fault and diagnosis for hydraulic system of metallurgical machinery. China High Tech Enterp 12:124–125 (in Chinese)
9.
Zurück zum Zitat Garimella P, Yao B (2005) Model based fault detection of an electro-hydraulic cylinder. Proc Amer Contr Conf 1:484–489 Garimella P, Yao B (2005) Model based fault detection of an electro-hydraulic cylinder. Proc Amer Contr Conf 1:484–489
10.
Zurück zum Zitat Zhang L, Zhang C, Shi T (2010) Inner leakage fault diagnosis of hydraulic cylinder using wavelet energy. Adv Mater Res 139–141:2517–2521 Zhang L, Zhang C, Shi T (2010) Inner leakage fault diagnosis of hydraulic cylinder using wavelet energy. Adv Mater Res 139–141:2517–2521
11.
Zurück zum Zitat Qian S, Chen D (1996) Joint time frequency analysis: methods and applications. Prentice-Hall, London Qian S, Chen D (1996) Joint time frequency analysis: methods and applications. Prentice-Hall, London
12.
Zurück zum Zitat Bishop CM (1995) Neural networks for pattern recognition. Clarendon Press, Oxford Bishop CM (1995) Neural networks for pattern recognition. Clarendon Press, Oxford
13.
Zurück zum Zitat Chen H (2011) Discovery of acoustic emission based biomarker for quantitative assessment of knee joint ageing and degeneration. Ph.D Thesis, University of Central Lancashire, Preston Chen H (2011) Discovery of acoustic emission based biomarker for quantitative assessment of knee joint ageing and degeneration. Ph.D Thesis, University of Central Lancashire, Preston
14.
Zurück zum Zitat Tan CK, Irving P, Mba D (2007) A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission, vibration and spectrometric oil analysis for spur gears. Mech Syst Signal Proc 21:208–233CrossRef Tan CK, Irving P, Mba D (2007) A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission, vibration and spectrometric oil analysis for spur gears. Mech Syst Signal Proc 21:208–233CrossRef
15.
Zurück zum Zitat ASTM Standard E650/650 M (2012) Standard guide for mounting piezoelectric acoustic emission sensors. ASTM International, West Conshohocken ASTM Standard E650/650 M (2012) Standard guide for mounting piezoelectric acoustic emission sensors. ASTM International, West Conshohocken
16.
Zurück zum Zitat ASTM Standard E1930/E1930 M (2012) Standard practice for examination of liquid-filled atmospheric and low-pressure metal storage tanks using acoustic emission. ASTM International, West Conshohocken ASTM Standard E1930/E1930 M (2012) Standard practice for examination of liquid-filled atmospheric and low-pressure metal storage tanks using acoustic emission. ASTM International, West Conshohocken
17.
Zurück zum Zitat Mascaro B, Prior J, Shark LK et al (2009) Exploratory study of a non-invasive method based on acoustic emission for assessing the dynamic integrity of knee joints. Med Eng Phy 31:1013–1122CrossRef Mascaro B, Prior J, Shark LK et al (2009) Exploratory study of a non-invasive method based on acoustic emission for assessing the dynamic integrity of knee joints. Med Eng Phy 31:1013–1122CrossRef
18.
Zurück zum Zitat Shark LK, Chen H, Goodacre J (2010) Discovering differences in acoustic emission between healthy and osteoarthritic knees using a four-phase model of sit-stand-sit movements. J Open Med Infor 4:116–125 Shark LK, Chen H, Goodacre J (2010) Discovering differences in acoustic emission between healthy and osteoarthritic knees using a four-phase model of sit-stand-sit movements. J Open Med Infor 4:116–125
19.
Zurück zum Zitat Shark LK, Chen H, Goodacre J (2010) Knee acoustic emission: a clue to joint ageing and failure. Rheumatology 49:I79–I82 Shark LK, Chen H, Goodacre J (2010) Knee acoustic emission: a clue to joint ageing and failure. Rheumatology 49:I79–I82
20.
Zurück zum Zitat Shark LK, Chen H, Goodacre J (2011) Knee acoustic emission: a potential biomarker for quantitative assessment of joint ageing and degeneration. Med Eng Phy 33:534–545CrossRef Shark LK, Chen H, Goodacre J (2011) Knee acoustic emission: a potential biomarker for quantitative assessment of joint ageing and degeneration. Med Eng Phy 33:534–545CrossRef
21.
Zurück zum Zitat Chen H, Lu Y, Wang L (2013) Analysis of dynamic acoustic emission signals using multivariate statistical technique for smaller dataset J Vibr Meas Diag 2 (in press) (in Chinese) Chen H, Lu Y, Wang L (2013) Analysis of dynamic acoustic emission signals using multivariate statistical technique for smaller dataset J Vibr Meas Diag 2 (in press) (in Chinese)
22.
Metadaten
Titel
State Identification of Automatic Gauge Control Hydraulic Cylinder Using Acoustic Emission
verfasst von
Hongzhi Chen
Chao Wu
Yanguang Sun
Hua Zhao
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-38460-8_65

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