A generic physics-informed neural network-based framework for reliability assessment of multi-state systems

T Zhou, X Zhang, EL Droguett, A Mosleh - Reliability Engineering & System …, 2023 - Elsevier
In this paper, we develop a generic physics-informed neural network (PINN)-based
framework to assess the reliability of multi-state systems (MSSs). The proposed framework …

Availability for multi-component k-out-of-n: G warm-standby system in series with shut-off rule of suspended animation

L Guo, R Li, Y Wang, J Yang, Y Liu, Y Chen… - Reliability Engineering & …, 2023 - Elsevier
Suspended animation (SA) indicates that a failed subsystem in a series system causes the
others to stop working. If the SA is neglected, the system availability will be underestimated …

Reliability analysis of floating offshore wind turbine generator based on failure prediction and preventive maintenance

C Zhao, H Liu, X Qu, M Liu, R Tang, A Xie - Ocean Engineering, 2023 - Elsevier
Aiming at the failure problems of a floating offshore wind turbine (FOWT) generator, a
preventive maintenance model based on failure prediction is established. Firstly, the fault …

Modeling left-truncated degradation data using random drift-diffusion Wiener processes

B Yan, H Wang, X Ma - Quality Technology & Quantitative …, 2024 - Taylor & Francis
For products whose performance characteristic (PC) gradually degrades with time, one
usually observes its degradation levels repeatedly to predict its remaining useful life (RUL) …

Reliability analysis of an extended shock model

MH Poursaeed - … of the Institution of Mechanical Engineers …, 2021 - journals.sagepub.com
Suppose that a system is subject to a sequence of shocks which occur with probability p in
any period of time t= 1, 2,…, and suppose that δ 1 and δ 2 are two critical levels (1≤ δ 1< δ …

Redundancy allocation optimization for multi-state system with hierarchical performance requirements

J Li, G Wang, H Zhou, H Chen - … , Part O: Journal of Risk and …, 2023 - journals.sagepub.com
Conventional redundancy allocation optimization model is usually measured by single
performance. It meets difficulties in modeling the redundancy allocation optimization of multi …