What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Mechanical engineering
His main research concerns Reliability engineering, Mathematical optimization, Reliability, Uncertainty quantification and Structural engineering.
His research on Reliability engineering focuses in particular on Maintenance engineering.
Hong-Zhong Huang has researched Mathematical optimization in several fields, including Reliability, Bayesian probability and Random variable.
Hong-Zhong Huang has included themes like Monte Carlo method, Fuzzy logic and Engineering design process in his Reliability study.
He interconnects Probability distribution and Uncertainty analysis in the investigation of issues within Uncertainty quantification.
His study in the field of Fatigue damage is also linked to topics like Amplitude.
His most cited work include:
- An efficient method for reliability evaluation of multistate networks given all minimal path vectors (203 citations)
- MULTIPLE FAILURE MODES ANALYSIS AND WEIGHTED RISK PRIORITY NUMBER EVALUATION IN FMEA (178 citations)
- Optimal reliability, warranty and price for new products (169 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Reliability engineering, Reliability, Mathematical optimization, Structural engineering and Data mining.
The study incorporates disciplines such as Probabilistic logic, Bayesian probability and Degradation in addition to Reliability engineering.
His studies deal with areas such as Uncertainty quantification, Fault tree analysis, Probabilistic-based design optimization and Fuzzy logic as well as Reliability.
His Fault tree analysis study integrates concerns from other disciplines, such as Algorithm and Bayesian network.
His Mathematical optimization study frequently draws connections between related disciplines such as Random variable.
His Structural engineering study combines topics in areas such as Stress and Nonlinear system.
He most often published in these fields:
- Reliability engineering (39.81%)
- Reliability (38.59%)
- Mathematical optimization (17.48%)
What were the highlights of his more recent work (between 2017-2021)?
- Reliability (38.59%)
- Reliability engineering (39.81%)
- Data mining (10.19%)
In recent papers he was focusing on the following fields of study:
Hong-Zhong Huang spends much of his time researching Reliability, Reliability engineering, Data mining, Structural engineering and Bayesian network.
His work carried out in the field of Reliability brings together such families of science as Control system, Control theory, Kriging, Turbine and Theory of computation.
As part of the same scientific family, Hong-Zhong Huang usually focuses on Reliability engineering, concentrating on Fuzzy logic and intersecting with Interval.
His work is dedicated to discovering how Data mining, Turbofan are connected with Prognostics and other disciplines.
His research on Structural engineering focuses in particular on Low-cycle fatigue.
While the research belongs to areas of Bayesian network, he spends his time largely on the problem of Complex system, intersecting his research to questions surrounding Uncertainty quantification.
Between 2017 and 2021, his most popular works were:
- Reliability analysis of complex multi-state system with common cause failure based on evidential networks (101 citations)
- A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions (57 citations)
- Physics of failure-based reliability prediction of turbine blades using multi-source information fusion (57 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Mechanical engineering
Hong-Zhong Huang focuses on Reliability, Reliability engineering, Bayesian network, Statistical model and Optimization problem.
His research integrates issues of Control system, Mechanical system, Control theory and Kriging in his study of Reliability.
The Control system study combines topics in areas such as Monte Carlo method and Orbit.
Hong-Zhong Huang performs integrative Reliability engineering and Physics of failure research in his work.
His Bayesian network study incorporates themes from Complex system, Proportional hazards model, Bayes' theorem and Common cause failure.
His biological study spans a wide range of topics, including Computer security and Data theft.
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