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Hongzhan Ma
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 9
Top Topics
Convolutional Neural Network
Customer Requirements
Anomaly Detection
Fuzzy Sets
Top Venues
Adv. Eng. Informatics
IET Commun.
Int. J. Prod. Res.
Concurr. Eng. Res. Appl.
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Publications
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Dengguo Feng
,
Yu Qin
,
Wei Feng
,
Wei Li
,
Ketong Shang
,
Hongzhan Ma
Survey of research on confidential computing.
IET Commun.
18 (9) (2024)
Zhenhua Liu
,
Xuening Chu
,
Hongzhan Ma
,
Mengting Zhang
Prioritizing failure risks of components based on information axiom for product redesign considering fuzzy and random uncertainties.
Concurr. Eng. Res. Appl.
29 (4) (2021)
Zheng Wang
,
Hongzhan Ma
,
Hansi Chen
,
Bo Yan
,
Xuening Chu
Performance degradation assessment of rolling bearing based on convolutional neural network and deep long-short term memory network.
Int. J. Prod. Res.
58 (13) (2020)
Hansi Chen
,
Hongzhan Ma
,
Xuening Chu
,
Deyi Xue
Anomaly detection and critical attributes identification for products with multiple operating conditions based on isolation forest.
Adv. Eng. Informatics
46 (2020)
Hongzhan Ma
,
Xuening Chu
,
Weizhong Wang
,
Xinwang Liu
,
Deyi Xue
A directed failure causality network (DFCN) based method for function components risk prioritization under interval type-2 fuzzy environment.
Adv. Eng. Informatics
41 (2019)
Hongzhan Ma
,
Xuening Chu
,
Yupeng Li
An integrated approach to identify function components for product redesign based on analysis of customer requirements and failure risk.
J. Intell. Fuzzy Syst.
36 (2) (2019)
Binbin Ma
,
Hongzhan Ma
,
Yupeng Li
,
Xuening Chu
,
Qingxiu Liu
Design improvement supporting method based on product performance analysis.
Int. J. Comput. Integr. Manuf.
32 (10) (2019)
Hongzhan Ma
,
Xuening Chu
,
Deyi Xue
,
Dongping Chen
Identification of to-be-improved components for redesign of complex products and systems based on fuzzy QFD and FMEA.
J. Intell. Manuf.
30 (2) (2019)
Hongzhan Ma
,
Xuening Chu
,
Deyi Xue
,
Dongping Chen
A systematic decision making approach for product conceptual design based on fuzzy morphological matrix.
Expert Syst. Appl.
81 (2017)