Engine fault diagnosis based on sensor data fusion using evidence theory
نویسندگان
چکیده
منابع مشابه
A New Engine Fault Diagnosis Method Based on Multi-Sensor Data Fusion
Fault diagnosis is an important research direction in modern industry. In this paper, a new fault diagnosis method based on multi-sensor data fusion is proposed, in which the Dempster–Shafer (D–S) evidence theory is employed to model the uncertainty. Firstly, Gaussian types of fault models and test models are established by observations of sensors. After the models are determined, the intersect...
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Sensor data fusion plays an important role in fault diagnosis. Dempster-Shafer (D-R) evidence theory is widely used in fault diagnosis, since it is efficient to combine evidence from different sensors. However, under the situation where the evidence highly conflicts, it may obtain a counterintuitive result. To address the issue, a new method is proposed in this paper. Not only the statistic sen...
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The multi-sensor data fusion technique plays a significant role in fault diagnosis and in a variety of such applications, and the Dempster-Shafer evidence theory is employed to improve the system performance; whereas, it may generate a counter-intuitive result when the pieces of evidence highly conflict with each other. To handle this problem, a novel multi-sensor data fusion approach on the ba...
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ژورنال
عنوان ژورنال: Advances in Mechanical Engineering
سال: 2016
ISSN: 1687-8140,1687-8140
DOI: 10.1177/1687814016673291