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A Fault Diagnosis Methodology for Gear Pump Based on EEMD and Bayesian Network

PloS one, 2015-05, Vol.10 (5), p.e0125703-e0125703

2015

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Using Bayesian networks in reliability evaluation for subsea blowout preventer control system

Reliability engineering & system safety, 2012-12, Vol.108, p.32-41

2012

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A fault diagnosis method for rolling element bearings based on ICEEMDAN and Bayesian network

Journal of Mechanical Science and Technology, 2022, 36(5), , pp.2201-2212

2022

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Application of Bayesian Networks in Quantitative Risk Assessment of Subsea Blowout Preventer Operations

Risk analysis, 2013-07, Vol.33 (7), p.1293-1311

2013

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Compressor fault diagnosis system based on PCA-PSO-LSSVM algorithm

Science progress (1916), 2021-07, Vol.104 (3), p.3685042110261-368504211026110

2021

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Reliability analysis of the electrical control system of subsea blowout preventers using Markov models

PloS one, 2014-11, Vol.9 (11), p.e113525-e113525

2014

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Implications of using chemical dispersants to combat oil spills in the German Bight – Depiction by means of a Bayesian network

Environmental pollution (1987), 2019-05, Vol.248, p.609-620

2019

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Research on Adaptive Friction Compensation of Digital Hydraulic Cylinder Based on LuGre Friction Model

Shock and vibration, 2021, Vol.2021 (1)

2021

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Bayesian Networks for Reliability Engineering

1st ed. 2020., 2019

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A probabilistic model of decision making regarding the use of chemical dispersants to combat oil spills in the German Bight

Water research (Oxford), 2020-02, Vol.169, p.115196-115196, Article 115196

2020

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Combined Influence of Noncondensable Gas Mass Fraction and Mathematical Model on Cavitation Performance of Bearing

International journal of rotating machinery, 2020, Vol.2020 (2020), p.1-7

2020

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Sensitivity Analysis and Experimental Verification of Bolt Support Parameters Based on Orthogonal Experiment

Shock and vibration, 2020, Vol.2020 (2020), p.1-13

2020

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Reliability-based load and resistance factor design of composite pressure vessel under external hydrostatic pressure

Composite structures, 2011-10, Vol.93 (11), p.2844-2852

2011

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An Unsupervised Intelligent Method for Cutting Pick State Recognition of Coal Mining Shearer

IEEE access, 2020, Vol.8, p.196647-196656

2020

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Data-driven early fault diagnostic methodology of permanent magnet synchronous motor

Expert systems with applications, 2021-09, Vol.177, p.115000, Article 115000

2021

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Risk assessment on deepwater drilling well control based on dynamic Bayesian network

Process safety and environmental protection, 2021-05, Vol.149, p.643-654

2021

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Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study

Computers & industrial engineering, 2021-01, Vol.151, p.106983, Article 106983

2021

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Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model

Reliability engineering & system safety, 2022-02, Vol.218, p.108160, Article 108160

2022

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Development of an automatic subsea blowout preventer stack control system using PLC based SCADA

ISA transactions, 2012, Vol.51 (1), p.198-207

2012

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Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs

Journal of manufacturing systems, 2020-10, Vol.57, p.148-157

2020

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Artificial Intelligence Enhanced Two-Stage Hybrid Fault Prognosis Methodology of PMSM

IEEE transactions on industrial informatics, 2022-10, Vol.18 (10), p.7262-7273

2022

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Few-shot fault diagnosis of underwater thrusters based on semi-supervised prototypical network with SimAM attention and auxiliary classifier

Ocean engineering, 2024-11, Vol.312, p.119216, Article 119216

2024

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Risk assessment of marine oil spills using dynamic Bayesian network analyses

Environmental pollution (1987), 2023-01, Vol.317, p.120716-120716, Article 120716

2023

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Fault diagnosis for a solar assisted heat pump system under incomplete data and expert knowledge

Energy (Oxford), 2015-07, Vol.87 (C), p.41-48

2015

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Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures

Journal of loss prevention in the process industries, 2015-11, Vol.38, p.58-66

2015

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A Fault Diagnosis Methodology for Gear Pump Based on EEMD and Bayesian Network

Using Bayesian networks in reliability evaluation for subsea blowout preventer control system

A fault diagnosis method for rolling element bearings based on ICEEMDAN and Bayesian network

Application of Bayesian Networks in Quantitative Risk Assessment of Subsea Blowout Preventer Operations

Compressor fault diagnosis system based on PCA-PSO-LSSVM algorithm

Reliability analysis of the electrical control system of subsea blowout preventers using Markov models

Implications of using chemical dispersants to combat oil spills in the German Bight – Depiction by means of a Bayesian network

Research on Adaptive Friction Compensation of Digital Hydraulic Cylinder Based on LuGre Friction Model

Bayesian Networks for Reliability Engineering

A probabilistic model of decision making regarding the use of chemical dispersants to combat oil spills in the German Bight

Combined Influence of Noncondensable Gas Mass Fraction and Mathematical Model on Cavitation Performance of Bearing

Sensitivity Analysis and Experimental Verification of Bolt Support Parameters Based on Orthogonal Experiment

Reliability-based load and resistance factor design of composite pressure vessel under external hydrostatic pressure

An Unsupervised Intelligent Method for Cutting Pick State Recognition of Coal Mining Shearer

Data-driven early fault diagnostic methodology of permanent magnet synchronous motor

Risk assessment on deepwater drilling well control based on dynamic Bayesian network

Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study

Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model

Development of an automatic subsea blowout preventer stack control system using PLC based SCADA

Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs

Artificial Intelligence Enhanced Two-Stage Hybrid Fault Prognosis Methodology of PMSM

Few-shot fault diagnosis of underwater thrusters based on semi-supervised prototypical network with SimAM attention and auxiliary classifier

Risk assessment of marine oil spills using dynamic Bayesian network analyses

Fault diagnosis for a solar assisted heat pump system under incomplete data and expert knowledge

Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures

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