Failure Mode and Effects Analysis of UAV Power System Based on Generalized Dempster-Shafer Structures

Zhang, Zhuo; Hao, Mingrui

doi:10.1109/icus48101.2019.8995923

Cited by 3 publications

(9 citation statements)

References 11 publications

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“…Knowledge inaccuracies can be attributed to slightly detailed information or the existence of new unknown events. Knowledge uncertainty has been represented using fuzzy systems [17], evidence theory [18] [19] [20], or hybrid systems [21] [22]. The next step in consolidating acquired knowledge is to define a strategy for knowledge uncertainty quantification.…”

Section: A Extraction Of Tacit Knowledge and Uncertainty Quantificationmentioning

confidence: 99%

Production Assessment Using a Knowledge Transfer Framework and Evidence Theory

Piolo

Tahasanul

et al. 2022

IEEE Access

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Operational knowledge is one of the most valuable assets in a company, as it provides a strategic advantage over competitors and ensures steady and optimal operation in machines. An (interactive) assessment system on the shop floor can optimize the process and reduce stopovers because it can provide constant valuable information regarding the machine condition to the operators. However, formalizing operational (tacit) knowledge to explicit knowledge is not an easy task. This transformation considers modeling expert knowledge, quantification of knowledge uncertainty, and validation of the acquired knowledge. This study proposes a novel approach for production assessment using a knowledge transfer framework and evidence theory to address the aforementioned challenges. The main contribution of this paper is a methodology for the formalization of tacit knowledge based on an extended failure mode and effect analysis for knowledge extraction, as well as the use of evidence theory for the uncertainty definition of knowledge. Moreover, this approach uses primitive recursive functions for knowledge modeling and proposes a validation strategy of the knowledge using machine data. These elements are integrated into an interactive recommendation system hosted on a backend that uses HoloLens as a visual interface. We demonstrate this approach using an industrial setup: a laboratory bulk good system. The results yield interesting insights, including the knowledge validation, uncertainty behavior of knowledge, and interactive troubleshooting for the machine operator.

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Section: A Extraction Of Tacit Knowledge and Uncertainty Quantificationmentioning

confidence: 99%

Production Assessment Using a Knowledge Transfer Framework and Evidence Theory

Piolo

Tahasanul

et al. 2022

IEEE Access

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“…These FMECA approaches can be used to study and analyze the effects of a fault affecting power devices and power applications as well, as described in [6][7][8][9][10][11][12][13]. For example, in [6,7,10,11], the FMECA methodology is proposed for the systems dedicated to the generation of electricity, such as solar photovoltaic and wind power.…”

Section: Introductionmentioning

confidence: 99%

“…The novelty introduced in this paper mainly lies in the simulation approach proposed, which allows for considering lowlevel faults in each subsystem and to analyze their impact on the whole cyber-physical system, resorting to high-level simulation to propagate their effects. In particular, the proposed approach can These FMECA approaches can be used to study and analyze the effects of a fault affecting power devices and power applications as well, as described in [6][7][8][9][10][11][12][13]. For example, in [6,7,10,11], the FMECA methodology is proposed for the systems dedicated to the generation of electricity, such as solar photovoltaic and wind power.…”

Section: Introductionmentioning

confidence: 99%

“…With respect to the works proposed in [3,[6][7][8][9][10][11]13], the approach proposed in this paper for performing the FMECA analysis is more powerful and complete. For example, in [3], the FMECA is performed for a single analog subsystem by injecting the faults at low level, only short-circuiting some components or introducing open circuits in the subsystem.…”

mentioning

confidence: 99%

“…Moreover, the effect of a low-level fault is not propagated to the other subsystems present in the cyber-physical system. Instead, in [6][7][8][9][10][11], the effect of a fault is propagated to the other subsystems; however, FMECA is performed at high level, modifying the subsystem features: this does not necessarily model their exact behavior in the presence of a fault. Moreover, in [6][7][8][9][10][11], the high-level faults considered are injected by changing the behavioral input-output relationships of a subsystem; instead, in the approach proposed by us, faults are considered at the level of the circuit diagram or inside a device.…”

mentioning

confidence: 99%

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Multilevel Simulation Methodology for FMECA Study Applied to a Complex Cyber-Physical System

et al. 2020

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Complex systems are composed of numerous interconnected subsystems, each designed to perform specific functions. The different subsystems use many technological items that work together, as for the case of cyber-physical systems. Typically, a cyber-physical system is composed of different mechanical actuators driven by electrical power devices and monitored by sensors. Several approaches are available for designing and validating complex systems, and among them, behavioral-level modeling is becoming one of the most popular. When such cyber-physical systems are employed in mission- or safety-critical applications, it is mandatory to understand the impacts of faults on them and how failures in subsystems can propagate through the overall system. In this paper, we propose a methodology for supporting the failure mode, effects, and criticality analysis (FMECA) aimed at identifying the critical faults and assessing their effects on the overall system. The end goal is to analyze how a fault affecting a single subsystem possibly propagates through the whole cyber-physical system, considering also the embedded software and the mechanical elements. In particular, our approach allows the analysis of the propagation through the whole system (working at high level) of a fault injected at low level. This paper provides a solution to automate the FMECA process (until now mainly performed manually) for complex cyber-physical systems. It improves the failure classification effectiveness: considering our test case, it reduced the number of critical faults from 10 to 6. The remaining four faults are mitigated by the cyber-physical system architecture. The proposed approach has been tested on a real cyber-physical system in charge of driving a three-phase motor for industrial compressors, showing its feasibility and effectiveness.

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Safety Risk Modelling and Assessment of Civil Unmanned Aircraft System Operations: A Comprehensive Review

Du,

Zhong,

Wang

et al. 2024

Drones

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Safety concerns are progressively emerging regarding the adoption of Unmanned Aircraft Systems (UASs) in diverse civil applications, particularly within the booming air transportation system, such as in Advanced Air Mobility. The outcomes of risk assessment determine operation authorization and mitigation strategies. However, civil UAS operations bring novel safety issues distinct from traditional aviation, like ground impact risk, etc. Existing studies vary in their risk definitions, modelling mechanisms, and objectives. There remains an incomplete gap of challenges, opportunities, and future efforts needed to collaboratively address diverse safety risks. This paper undertakes a comprehensive review of the literature in the domain, providing a summative understanding of the risk assessment of civil UAS operations. Specifically, four basic modelling approaches utilized commonly are identified comprising the safety risk management process, causal model, collision risk model, and ground risk model. Then, this paper reviews the state of the art in each category and explores the practical applications they contribute to, the support offered to participants from multiple stakeholders, and the primary technical challenges encountered. Moreover, potential directions for future work are outlined based on the high-level common problems. We believe that this review from a holistic perspective contributes towards better implementation of risk assessment in civil UAS operations, thus facilitating safe integration into the airspace system.

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Failure Mode and Effects Analysis of UAV Power System Based on Generalized Dempster-Shafer Structures

Cited by 3 publications

References 11 publications

Production Assessment Using a Knowledge Transfer Framework and Evidence Theory

Production Assessment Using a Knowledge Transfer Framework and Evidence Theory

Multilevel Simulation Methodology for FMECA Study Applied to a Complex Cyber-Physical System

Safety Risk Modelling and Assessment of Civil Unmanned Aircraft System Operations: A Comprehensive Review

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