Multi-state reliability assessment for hydraulic lifting system based on the theory of dynamic Bayesian networks

Su, Chun; Lin, Ning; Fu, Yequn

doi:10.1177/1748006x16660488

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…The multi-state approach is widely used in reliability analysis and risk management fields due to its capability of capturing probability changes over time [30]. Additionally, the multi-state approach combined with the dynamic BN theory has been employed to analyze the mechanical hydraulic lifting system [31].…”

Section: Risk Management Methodsmentioning

confidence: 99%

Dynamic Safety Assessment and Enhancement of Port Operational Infrastructure Systems during the COVID-19 Era

Wang

Yin

Khan

2023

JMSE

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Seaports function as lifeline systems in maritime transportation, facilitating critical processes like shipping, distribution, and allied cargo handling. These diverse subsystems constitute the Port Infrastructure System (PIS) and have intricate functional interdependencies. The PIS is vulnerable to several external disruptions, and the impact of COVID-19 is severe and unprecedented in this domain. Therefore, this study proposes a novel general port safety framework to cope with recurring hazards and crisis events like COVID-19 and to augment PIS safety through a multi-state failure system. The PIS is divided into three critical subsystems: shipping, terminal, and distribution infrastructure, thereby capturing its functional interdependency and intricacy. A dynamic input–output model is employed, incorporating the spatial variability and average delay of the disruption, to determine the PIS resilience capacity under the stated disruptions. This study simulates three disruption scenarios and determines the functional failure capacity of the system by generating a functional change curve in Simulink. This study offers viable solutions to port managers, terminal operators, and concerned authorities in the efficient running of intricate interdependent processes and in devising efficient risk control measures to enhance overall PIS resilience and reliability. As part of future studies, given the difficulty in obtaining relevant data and the relatively limited validation of the current model, we aim to improve the accuracy and reliability of our model and enhance its practical applicability to real-world situations with data collected from a real-world case study of a PIS system.

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Section: Risk Management Methodsmentioning

confidence: 99%

Dynamic Safety Assessment and Enhancement of Port Operational Infrastructure Systems during the COVID-19 Era

Wang

Yin

Khan

2023

JMSE

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“…This is due to its ability to represent the complex inter‐relationships (i.e., causal‐effect relationship) among the related variables of a system. BNs 115 and dynamic BN 116 have been quite effectively utilized for diagnostics and prognostics in various applications, for example, rotating machines, 117 industrial process, 118 aeronautics industry, 119 and power systems 120 . Despite numerous merits, there are some limitations in implementing BN such as data preprocessing requirements and difficulties in dealing with multidimensional data.…”

Section: Diagnostics and Prognostics Approachesmentioning

confidence: 99%

Diagnostics and prognostics for complex systems: A review of methods and challenges

Soleimani

Campean

Neagu

2021

Quality & Reliability Eng

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Diagnostics and prognostics have a significant role in the reliability enhancement of systems and are focused topics of active research. Engineered systems are becoming more complex and are subjected to miscellaneous failure modes that impact adversely their performability. This ever‐increasing complexity makes fault diagnostics and prognostics challenging for the system‐level functions. A significant number of successes have been achieved and acknowledged in some review papers; however, these reviews rarely focused on application to complex engineered systems nor provided a systematic review of diverse techniques and approaches to address the related challenges. To bridge the gap, this paper first presents a review to systematically cover the general concepts and recent development of various diagnostics and prognostics approaches, along with their strengths and shortcomings for the application of diverse engineered systems. Afterwards, given the characteristics of complex systems, the applicability of different techniques and methods that are capable to address the features of complex systems are reviewed and discussed, and some of the recent achievements in the literature are introduced. Finally, the unaddressed challenges are discussed by taking into account the characteristics of automotive systems as an example of complex systems. In addition, future development and potential research trends are offered to address those challenges. Consequently, this review provides a systematic view of the state‐of‐the‐art and case studies with a reference value for scholars and practitioners.

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“…Various studies have been conducted in this regard including the analysis of cargo loading system [23], utilization of the Semi-Markov model being optimized by the linear programming to assess the bulk cargo transportation [24], and the analysis of port grain transportation system employing the Semi-Markov model [25]. The multi-state approach in conjunction with the dynamic BN theory have also been employed to analyze the mechanical hydraulic lifting system [26]. Similarly, the multi-state system in amalgamation with the Semi-Markov model have been utilized to evaluate the complexities of container gantry crane system [27].…”

Section: Literature Reviewmentioning

confidence: 99%

The Multi-State Maritime Transportation System Risk Assessment and Safety Analysis

2020

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Maritime transportation has a pivotal role in the foreign trade and hence, the world’s economic growth. It augments the realization of “Maritime Silk Road” strategy. However, the catastrophic nature of the maritime accidents has posed a serious threat to life, property, and environment. Maritime transportation safety is a complex system and is prone to human, equipment, and environment-based risks. In the existing literature, the risk assessment studies aimed at the analysis of maritime traffic safety usually consider the state of system as two ultimate states—one is the normal state and the other is the complete failure state. In contrast to the conventional approaches, this study incorporates a multistate criterion for system state giving consideration to the near or partial failures also. A Markov Chain-based methodology was adopted to determine the variations in state system and define the instant at which a low probability incident transforms into a high-risk intolerable event. The analysis imparts critical time nodes that could be utilized to reduce the risk and evade accidents. This study holds practical vitality for the concerned departments to circumvent the potential dangers and devise systematic preemptive procedures before the accident takes place. The results of this study could be employed to augment safety and sustainability of maritime traffic and decrease the associated pollution.

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Multi-state reliability assessment for hydraulic lifting system based on the theory of dynamic Bayesian networks

Cited by 6 publications

References 19 publications

Dynamic Safety Assessment and Enhancement of Port Operational Infrastructure Systems during the COVID-19 Era

Dynamic Safety Assessment and Enhancement of Port Operational Infrastructure Systems during the COVID-19 Era

Diagnostics and prognostics for complex systems: A review of methods and challenges

The Multi-State Maritime Transportation System Risk Assessment and Safety Analysis

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