H
Hong-Zhong Huang
Researcher at University of Electronic Science and Technology of China
Publications - 449
Citations - 10197
Hong-Zhong Huang is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Reliability (statistics) & Fault tree analysis. The author has an hindex of 49, co-authored 436 publications receiving 8164 citations. Previous affiliations of Hong-Zhong Huang include Southwest Jiaotong University & Dalian University of Technology.
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An efficient method for reliability evaluation of multistate networks given all minimal path vectors
TL;DR: RSDP provides an efficient, systematic and simple approach for evaluating multistate network reliability given all d-MPs and is found that RSDP is more efficient than the existing algorithm when the number of components of a system is not too small.
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Multiple failure modes analysis and weighted risk priority number evaluation in fmea
TL;DR: In this article, a minimum cut set based method for assessing the impact of multiple failure modes is proposed, where the importance of the failure causes within the system is characterized by a weight parameter.
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A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions
TL;DR: A novel prognostic method based on bidirectional long short-term memory (BLSTM) networks that can integrate multiple sensors data with operational conditions data for RUL prediction of engineered systems is developed.
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Optimal Selective Maintenance Strategy for Multi-State Systems Under Imperfect Maintenance
Yu Liu,Hong-Zhong Huang +1 more
TL;DR: In this work, a selective maintenance policy for multi-state systems (MSS) consisting of binary state elements is investigated and it is concluded that incorporating imperfect maintenance quality into selective maintenance achieves better outcomes.
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Bayesian reliability analysis for fuzzy lifetime data
TL;DR: This paper proposes a new method to determine the membership function of the estimates of the parameters and the reliability function of multi-parameter lifetime distributions, and shows the effectiveness of this method with normal and Weibull distributions.