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CLC number: TP277
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-09-09
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Fault evolution-test dependency modeling for mechanical systems
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Xiao-dong Tan, Jian-lu Luo, Qing Li, Bing Lu, Jing Qiu. Fault evolution-test dependency modeling for mechanical systems[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(10): 848-857.
@article{title="Fault evolution-test dependency modeling for mechanical systems",
author="Xiao-dong Tan, Jian-lu Luo, Qing Li, Bing Lu, Jing Qiu",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="16",
number="10",
pages="848-857",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1500011"
}
%0 Journal Article
%T Fault evolution-test dependency modeling for mechanical systems
%A Xiao-dong Tan
%A Jian-lu Luo
%A Qing Li
%A Bing Lu
%A Jing Qiu
%J Frontiers of Information Technology & Electronic Engineering
%V 16
%N 10
%P 848-857
%@ 2095-9184
%D 2015
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500011
TY - JOUR
T1 - Fault evolution-test dependency modeling for mechanical systems
A1 - Xiao-dong Tan
A1 - Jian-lu Luo
A1 - Qing Li
A1 - Bing Lu
A1 - Jing Qiu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 16
IS - 10
SP - 848
EP - 857
%@ 2095-9184
Y1 - 2015
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1500011
Abstract: Tracking the process of fault growth in mechanical systems using a range of tests is important to avoid catastrophic failures. So, it is necessary to study the design for testability (DFT). In this paper, to improve the testability performance of mechanical systems for tracking fault growth, a fault evolution-test dependency model (FETDM) is proposed to implement DFT. A testability analysis method that considers fault trackability and predictability is developed to quantify the testability performance of mechanical systems. Results from experiments on a centrifugal pump show that the proposed FETDM and testability analysis method can provide guidance to engineers to improve the testability level of mechanical systems.
Design for testability is important to avoid catastrophic failures in mechanical systems. In order to improve the testability performance of tracking fault growth, a Fault Evolution-Test Dependency Model is proposed in this paper. In order to quantify the testability performance, the testability analysis method is developed. The experimental results in centrifugal pumps show the method is effective. There is some innovation in this paper.
[1]Alabakhshizadeh, A., Iskandarani, Y., Hovland, G., et al., 2011. Analysis, modeling and simulation of mechatronic systems using the Bond Graph method. Model. Identif. Contr., 32(1):35-45.
[2]Biswas, G., Mahadevan, S., 2007. A hierarchical model-based approach to systems health management. Proc. IEEE Aerospace Conf., p.1-14.
[3]Byington, C.S., Watson, M., Edwards, D., et al., 2004. A model-based approach to prognostics and health management for flight control actuators. Proc. IEEE Aerospace Conf., p.3551-3562.
[4]Deb, S., Pattipati, K.R., Raghavan, V., et al., 1995. Multi-signal flow graphs: a novel approach for system testability analysis and fault diagnosis. IEEE Aerosp. Electron. Syst. Mag., 10(5):14-25.
[5]Gao, Y.C., Feng, Y.X., Tan, J.R., 2014. Multi-principle preventive maintenance: a design-oriented scheduling study for mechanical systems. J. Zhejiang Univ.-Sci. A (Appl. Phys. & Eng.), 15(11):862-872.
[6]Hess, A., Stecki, J.S., Rudov-Clark, S.D., 2008. The maintenance aware design environment: development of an aerospace PHM software tool. Proc. Conf. on Prognostics and Health Management, p.1-9.
[7]Johnson, J., 2008. Fault Propagation Timing Analysis to Aid in the Selection of Sensors for Health Management Systems. MS Thesis, University of Missouri-Rolla, USA.
[8]Kallesøe, C., 2005. Fault Detection and Isolation in Centrifugal Pumps. PhD Thesis, Aalborg University, Denmark.
[9]Kurtoglu, T., Tumer, I.Y., 2008. A graph-based fault identification and propagation framework for functional design of complex system. J. Mech. Des., 130(5):051401.1-051401.8.
[10]Lin, C., Hayes, L., Malais, A., et al., 1998. A new dependency model based testability analyzer. Proc. IEEE Systems Readiness Technology Conf., p.187-191.
[11]Pattipati, K.R., Raghavan, V., Shakeri, M., et al., 1994. TEAMS: testability engineering and maintenance system. Proc. American Control Conf., p.1989-1995.
[12]Sheppard, J.W., 1996. Maintaining diagnostic truth with information flow models. Proc. IEEE Conf. Record Test Technology and Commercialization, p.447-454.
[13]Simpson, W.R., Balaban, H.S., 1982. The ARINC research system testability and maintenance program (STAMP). Proc. IEEE AUTOTESTCON Conf., p.88-95.
[14]Simpson, W.R., Sheppard, J.W., Unkle, C.R., 1989. POINTER—an intelligent maintenance aid. Proc. IEEE Automatic Testing Conf., p.26-31.
[15]Stone, R.B., Wood, K.L., 2000. Development of a functional basis for design. J. Mech. Des., 122(4):359-370.
[16]Tan, X.D., Qiu, J., Liu, G.J., et al., 2013. A novel approach of testability modeling and analysis for PHM systems based on failure evolution mechanism. Chin. J. Aeronaut., 26(3):766-776.
[17]Yang, S.M., Qiu, J., Liu, G.J., 2014. Hierarchical model-based approach to testability modeling and analysis for PHM of aerospace systems. J. Aerosp. Eng., 27(1):131-139.
[18]Zhang, G.F., 2005. Optimum Sensor Localization/Selection in a Diagnostic/Prognostic Architecture. PhD Thesis, Georgia Institute of Technology, USA.
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