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Rebooting data-driven soft-sensors in process industries: A review of kernel methods
Soft-sensors usually assist in dealing with the unavailability of hardware sensors in process
industries, thus allowing for less fault occurrence and better control performance. However …
industries, thus allowing for less fault occurrence and better control performance. However …
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence
The performance states of the manufacturing equipment and the quality states of the
manufactured products are important indicators for the operational state evaluation and …
manufactured products are important indicators for the operational state evaluation and …
[HTML][HTML] Failure dependence and cascading failures: A literature review and investigation on research opportunities
The complexity of technical systems is escalating, and components within the systems are
becoming more vulnerable to failure dependence. Failure dependence implies that the …
becoming more vulnerable to failure dependence. Failure dependence implies that the …
A finite-horizon condition-based maintenance policy for a two-unit system with dependent degradation processes
This paper analyzes a condition-based maintenance (CBM) model for a system with two
heterogeneous components in which degradation follows a bivariate gamma process …
heterogeneous components in which degradation follows a bivariate gamma process …
Condition-based opportunistic maintenance policies with two-phase inspections for continuous-state systems
Y Chen, Q Qiu, X Zhao - Reliability Engineering & System Safety, 2022 - Elsevier
This paper proposes two condition-based opportunistic maintenance policies with two-
phase inspections for continuously degraded systems with real-time monitoring and periodic …
phase inspections for continuously degraded systems with real-time monitoring and periodic …
Reliability of response region: a novel mechanism in visual tracking by edge computing for IIoT environments
Reliability has been widely used in industrial IoT (IIoT) applications. Since maintaining fast
and accurate tracking of targets with fast move and motion blur in industrial applications is …
and accurate tracking of targets with fast move and motion blur in industrial applications is …
[HTML][HTML] Reliability and availability analysis of stochastic degradation systems based on bivariate Wiener processes
Q Dong, L Cui, S Si - Applied Mathematical Modelling, 2020 - Elsevier
It is still a challenge to study the degradation mechanisms of complex systems with multiple
performance characteristics. This paper develops a two-stage stochastic degradation model …
performance characteristics. This paper develops a two-stage stochastic degradation model …
[HTML][HTML] Joint condition-based maintenance and load-sharing optimization for two-unit systems with economic dependency
Many production facilities consist of multiple and functionally exchangeable units of
equipment, such as pumps or turbines, that are jointly used to satisfy a given production …
equipment, such as pumps or turbines, that are jointly used to satisfy a given production …
Reliability modeling for degradation-shock dependence systems with multiple species of shocks
H Gao, L Cui, Q Qiu - Reliability Engineering & System Safety, 2019 - Elsevier
In this research, reliability models are developed for systems or devices subject to
dependent competing soft and hard failure processes with degradation-shock dependences …
dependent competing soft and hard failure processes with degradation-shock dependences …
An integrated framework of preventive maintenance and task scheduling for repairable multi-unit systems
W Zhang, J Gan, S He, T Li, Z He - Reliability Engineering & System Safety, 2024 - Elsevier
Preventive maintenance and task scheduling are both crucial activities in industrial practice.
Although they are interdependent and mutually influential, most existing studies typically …
Although they are interdependent and mutually influential, most existing studies typically …