Works (10)

Updated: April 3rd, 2024 23:40

2024 article

Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing

Choi, J., Zhu, M., Kang, J., & Jeong, M. K. (2024, March 16). ANNALS OF OPERATIONS RESEARCH.

By: J. Choi*, M. Zhu n, J. Kang & M. Jeong*

author keywords: Convolutional neural networks; Multivariate analysis; Semiconductor manufacturing; Virtual metrology
Source: Web Of Science
Added: March 25, 2024

2024 article

Lifetime prediction and maintenance assessment of Lithium-ion batteries based on combined information of discharge voltage curves and capacity fade

Wang, R., Zhu, M., & Zhang, X. (2024, March 15). JOURNAL OF ENERGY STORAGE, Vol. 81.

By: R. Wang n, M. Zhu n & X. Zhang n

author keywords: Remaining useful life; Change point detection; Nonlinear Wiener process; Dynamic time warping; Nonnegative matrix factorization
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: February 26, 2024

2023 article

Modeling Human-Machine Interaction System Reliability with Multiple Dependent Degradation Processes and Situation Awareness

Hu, Y., Wang, R., Zhu, M., & Chen, K. B. B. (2023, July 19). INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, Vol. 7.

By: Y. Hu n, R. Wang n, M. Zhu n & K. Chen n

author keywords: System reliability model; situation awareness; human-machine interaction
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 7, 2023

2022 journal article

Lithium-ion battery remaining useful life prediction using a two-phase degradation model with a dynamic change point

JOURNAL OF ENERGY STORAGE, 59.

By: R. Wang n, M. Zhu n, X. Zhang n & H. Pham*

author keywords: Remaining useful life prediction; Two-phase degradation pattern; Uncertainty; Particle filtering
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: January 30, 2023

2022 journal article

Shock-Loading-Based Reliability Modeling with Dependent Degradation Processes and Random Shocks

INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 29(03).

By: R. Wang n & M. Zhu n

author keywords: System reliability model; shock loading; multiple degradation processes; copula method; dependent competing risks
Source: Web Of Science
Added: August 8, 2022

2021 journal article

A Random-Field-Environment-Based Multidimensional Time-Dependent Resilience Modeling of Complex Systems

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 8(6), 1427–1437.

By: M. Zhu n, X. Huang* & H. Pham*

author keywords: Resilience; Reliability; Maintenance engineering; System performance; Reliability engineering; Biological system modeling; Uncertainty; Random field environment (RFE); resilience; uncertainty; vehicular edge computing network (VECN)
TL;DR: A new definition of resilience is introduced and a general RFE-based multidimensional time-dependent resilience model connecting reliability, vulnerability, and recoverability is proposed, which is applied to vehicular edge computing networks to evaluate the vehicular network resilience with the disruptive events on the communication links. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: December 13, 2021

2021 journal article

A new framework of complex system reliability with imperfect maintenance policy

ANNALS OF OPERATIONS RESEARCH, 312(1), 553–579.

By: M. Zhu n

author keywords: Complex system reliability modeling; Interactions of software and hardware; Software-induced hardware failures; Hardware-induced software failures; Markov process
TL;DR: A new diagram of categorizing system-level failures is proposed and further incorporates such a diagram into the development of complex system reliability framework based on such system- level failure categorization with the Markov process. (via Semantic Scholar)
Source: Web Of Science
Added: January 25, 2021

2020 journal article

A generalized multiple environmental factors software reliability model with stochastic fault detection process

ANNALS OF OPERATIONS RESEARCH, 311(1), 525–546.

By: M. Zhu n & H. Pham*

author keywords: Software reliability growth model; Environmental factors; Martingale framework
TL;DR: A generalized multiple-environmental-factors software reliability growth model with multiple environmental factors and the associated randomness under the martingale framework is proposed, which is a stochastic fault detection process. (via Semantic Scholar)
Source: Web Of Science
Added: August 10, 2020

2020 journal article

An Empirical Study of Factor Identification in Smart Health-Monitoring Wearable Device

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 7(2), 404–416.

By: M. Zhu n & H. Pham*

author keywords: Environmental factors (EFs); Smart Health-Monitoring Wearable Device (SHMWD)
TL;DR: The managerial suggestions of time and resource allocation to the development team given each team may have different focused category are provided and a general guide of feature selection for product development and maintenance and improvement for customer satisfaction are provided. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: September 7, 2020

2019 journal article

A Novel System Reliability Modeling of Hardware, Software, and Interactions of Hardware and Software

MATHEMATICS, 7(11).

By: M. Zhu n & H. Pham*

author keywords: system reliability modeling; Markov process; software-induced hardware failures; hardware-induced software failures; hardware-software interactions
TL;DR: A Markov-based unified system reliability modeling incorporating all three categories of system failures is developed in this research, which provides a novel and practical perspective to define system failures and further improve reliability prediction accuracy. (via Semantic Scholar)
Source: Web Of Science
Added: December 30, 2019

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