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CLC number: TP277
On-line Access: 2015-10-08
Received: 2015-01-09
Revision Accepted: 2015-06-15
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.
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