H
Hanlin Liu
Researcher at Southern University of Science and Technology
Publications - 15
Citations - 790
Hanlin Liu is an academic researcher from Southern University of Science and Technology. The author has contributed to research in topics: Computer science & Service provider. The author has an hindex of 7, co-authored 14 publications receiving 566 citations. Previous affiliations of Hanlin Liu include University of Minnesota & City University of Hong Kong.
Papers
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A Data-Driven Fault Diagnosis Methodology in Three-Phase Inverters for PMSM Drive Systems
TL;DR: In this paper, a Bayesian network-based data-driven fault diagnosis methodology of three-phase inverters is proposed to solve the uncertainty problem in fault diagnosis of inverters, which is caused by various reasons, such as bias and noise of sensors.
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A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks
TL;DR: In this paper, a real-time fault diagnosis methodology of complex systems with repetitive structures using object-oriented Bayesian networks (OOBNs) is proposed, which consists of two main phases: an off-line OOBN construction phase and an on-line fault diagnosis phase.
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System performance-based joint importance analysis guided maintenance for repairable systems
TL;DR: A multi-valued decision diagram (MDD) based method is developed and some properties of JIIM are illustrated with a numerical example of a system containing three components to effectively guide the selection of PM components.
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Reliability of multi-state systems with a performance sharing group of limited size
Rui Peng,Hui Xiao,Hanlin Liu +2 more
TL;DR: A reliability evaluation algorithm is proposed for the suggested system and the optimal connection strategy is discussed, which assumes that the elements connected into the performance sharing group can change dynamically when the state of the system changes in order to minimize the possible performance deficiency of theSystem.
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Reliability modeling for dependent competing failure processes of damage self-healing systems
TL;DR: A new reliability model subject to MDCFP by considering the damage self-healing phenomenon is developed and it is shown that the proposed model is general model that can be transformed into many classical degradation and shock models in different parameter settings.