Application of reliability technologies in civil aviation: Lessons learnt and perspectives

Zio, Enrico; Fan, Mengfei; Zeng, Zhiguo; Kang, Rui

doi:10.1016/j.cja.2018.05.014

Cited by 49 publications

(24 citation statements)

References 73 publications

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“…The reliability and availability analysis of the BCHP system is helpful to the designer to decide the redundancy in case of equipment failure" [26]. Zio et al (2019) considered "reliability engineering in the modern civil aviation industry, and the related engineering activities and methods. They consider reliability in a broad sense, referring to other system characteristics that are related to it, like availability, maintainability, safety and durability" [27].…”

Section: Maintenance Reliability and Availabilitymentioning

confidence: 99%

“…Zio et al (2019) considered "reliability engineering in the modern civil aviation industry, and the related engineering activities and methods. They consider reliability in a broad sense, referring to other system characteristics that are related to it, like availability, maintainability, safety and durability" [27]. Shen et al (2019) mentioned that "to describe the system performance, system availabilities including instantaneous availability and limiting average availability, and some time distributions of interest are important indexes.…”

Section: Maintenance Reliability and Availabilitymentioning

confidence: 99%

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Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling

et al. 2021

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The big hospitals’ electricity supply system’s reliability is discussed in this article through Petri nets and Fuzzy Inference System (FIS). To simulate and analyse an electric power system, the FIS Mamdani in MATLAB is implemented. The advantage of FIS is that it uses human experience to provide a faster solution than conventional techniques. The elements involved are the Main Electrical Power, the Generator sets, the Automatic Transfer Switches (ATS), and the Uninterrupted Power Supply (UPS), which are analysed to characterize the system behaviour. To evaluate the system and identified the lower reliability modules being proposed, a new reliable design model through the Petri Nets and Fuzzy Inference System approach. The resulting approach contributes to increasing the reliability of complex electrical systems, aiming to reduce their faults and increase their availability.

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Section: Maintenance Reliability and Availabilitymentioning

confidence: 99%

Section: Maintenance Reliability and Availabilitymentioning

confidence: 99%

Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling

et al. 2021

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“…In commercial aviation, a principle of designing and certificating aircraft for safe flight is that the various subsystems of the aircraft (the engines, the electrical systems, the pilots, etc) should meet a quantified reliability standard (Zio et al, 2019). To minimise any risk of a 'weak link' in the chain, each sub-system should ideally meet a similar reliability standard.…”

Section: Assessing Human Factors Risks In Commercial Aviationmentioning

confidence: 99%

Sleepiness on the flight deck: Reported rates of occurrence and predicted fatigue risk exposure associated with UK airline pilot work schedules

Coombes

Whale²,

Hunter

et al. 2020

Safety Science

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“…The document was supported by SAE standards AS9100D, AS9110C, AS9120B, AS9103A, etc. (Zio et al, 2018). Another example of quality management system in civil aviation is COMAC.…”

Section: Introductionmentioning

confidence: 99%

A novel GREY‒ASMAA model for reliability growth evaluation in the large civil aircraft test flight phase

Liu

Tang

Song

et al. 2019

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Purpose The purpose of this paper is to present a novel GREY‒ASMAA model for reliability growth evaluation in the large civil aircraft test flight phase. Design/methodology/approach As limited data are collected during the large civil aircraft test flight phase, which are not enough to meet the requirements of the ASMAA model for reliability growth, four basic GM(1, 1) models, even grey model, original difference grey model, even difference grey model and discrete grey model, are presented. Then both forward and backward grey models GM(1,1) are built to forecast and obtain virtual test data on left and right sides. Then the ASMAA model for reliability growth evaluation can be built based on original and virtual test data. Findings Aiming at the background of poor information data during the large civil aircraft test flight phase, first, a novel GREY‒ASMAA model, which was combined by the grey model GM(1,1) with the ASMAA model, has been put forward in this paper. Practical implications The GREY‒ASMAA model for reliability growth evaluation can be used to solve the problem of reliability growth evaluation with poor information data during the large civil aircraft test flight phase, and it has been used in reliability evaluation of C919 at the test flight stage. Originality/value This paper presents two new definitions of forward grey model GM(1,1) and backward grey model GM(1,1), as well as a novel GREY‒ASMAA model for reliability growth evaluation of large civil aircraft during test flight phase.

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Application of reliability technologies in civil aviation: Lessons learnt and perspectives

Cited by 49 publications

References 73 publications

Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling

Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling

Sleepiness on the flight deck: Reported rates of occurrence and predicted fatigue risk exposure associated with UK airline pilot work schedules

A novel GREY‒ASMAA model for reliability growth evaluation in the large civil aircraft test flight phase

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