Through-Life Maintenance Cost of Digital Avionics

Raza, Ahmed; Ulansky, Vladimir

doi:10.3390/app11020715

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…The onboard ILS is an avionics system. Any avionics system usually comprises two or three identical linereplaceable units (LRUs) [84]. Avionics LRUs have a reputation for their excellent testability and maintainability standards.…”

Section: Classification Of Systemsmentioning

confidence: 99%

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Classification of Systems and Maintenance Models

Ulansky

Raza

2023

Aerospace

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Maintenance is an essential part of long-term overall equipment effectiveness. Therefore, it is essential to evaluate maintenance policies’ effectiveness in addition to planning them. This study provides a classification of technical systems for selecting maintenance effectiveness indicators and a classification of maintenance models for calculating these indicators. We classified the systems according to signs, such as system maintainability, failure consequences, economic assessment of the failure consequences, and temporary mode of system use. The classification of systems makes it possible to identify 13 subgroups of systems with different indicators of maintenance effectiveness, such as achieved availability, inherent availability, and average maintenance costs per unit of time. When classifying maintenance models, we used signs such as the system structure in terms of reliability, type of inspection, degree of unit restoration, and external manifestations of failure. We identified one hundred and sixty-eight subgroups of maintenance models that differed in their values for specified signs. To illustrate the proposed classification of maintenance models, we derived mathematical equations to calculate all considered effectiveness indicators for one subgroup of models related to condition-based maintenance. Mathematical models have been developed for the case of arbitrary time-to-failure law and imperfect inspection. We show that the use of condition-based maintenance significantly increases availability and reduces the number of inspections by more than half compared with corrective maintenance.

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Section: Classification Of Systemsmentioning

confidence: 99%

“…. , Γ(t k ) are independent, then the sum of the probabilities (84) with the change in j from 0 to k yields (70), where P R (t 0 ) = P[Γ(t 0 )] = 1.…”

Section: Maintenance Effectiveness Indicatorsmentioning

confidence: 99%

Classification of Systems and Maintenance Models

Ulansky

Raza

2023

Aerospace

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“…The effectiveness of complex technical systems is heavily reliant on diagnostic quality. Suffice it to point out, for example, that an error in diagnosing the condition of some aviation systems can lead to significant economic losses and tragic consequences [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…Until now, there have been no published studies that would simultaneously consider the main characteristics of all SoTD components. (2). In principle, the assessment of trustworthiness can be carried out using the same statistical methods as in binary classification problems.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Quantification of Imperfect Diagnostics

Ulansky

Raza

2023

Aerospace

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The operable state of a system is maintained during operation, which requires knowledge of the system’s state. Technical diagnostics, as a process of accurately obtaining information about the system state, becomes a crucial stage in the life cycle of any system. The study deals with the relevant problem of uncertainty quantification of imperfect diagnostics. We considered the most general case when the object of diagnostics, the diagnostic tool, and the human operator can each be in one of the many states. The concept of a diagnostic error is introduced, in which the object of diagnostics is in one of many states but is erroneously identified as being in any other state. We derived the generalized formulas for the probability of a diagnostic error, the probability of correct diagnosis, and the total probability of a diagnostic error. The proposed generalized formulas make it possible to determine the probabilistic indicators of diagnosis uncertainty for any structures of diagnostics systems and any types of failures of the diagnostic tool and human operator. We demonstrated the theoretical material by computing the probabilistic indicators of diagnosis uncertainty for an aircraft VHF communication system and fatigue cracks in the aircraft wings.

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Maintenance in aviation enabled by Industry 4.0 technologies: exploring the current research trends using a topic modeling approach

Rath,

Jha,

Padhy

et al. 2024

IJPPM

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PurposeSince passenger safety is critical, aviation maintenance is essential. Aviation maintenance management is changing due to Industry 4.0 (I4.0). According to earlier research, I4.0 technologies improve aircraft manufacturing efficiency and responsiveness through automation, predictive maintenance and process self-optimization. Thus, this study examines I4.0 research and aircraft maintenance's potential interaction.Design/methodology/approachUsing a text-mining methodology, this paper looks at the state of the art in aviation maintenance research in the I4.0 era. We used the topic modeling approach and Latent Dirichlet Allocation (LDA) technique to analyze the abstracts and indexed keywords of 929 research articles on the intersection of aviation maintenance and I4.0, subsequently clustering them into eight topics.FindingsWe have mapped out the emerging research trends at the intersection of “aviation maintenance” and “I4.0 technologies”, and presented suggestions for theoretical frameworks, applied frameworks and future lines of inquiry. This paper makes a theoretical contribution to the systematization of literature on I4.0 technologies in aviation maintenance. It provides valuable insight for managers by exploring the implications and opportunities that arise in light of recent innovations brought by I4.0 in aviation maintenance.Originality/valueThis study focuses on the use of Industry 4.0 technologies in aircraft maintenance processes, contributing to the growing research on digital technology in maintenance and maintenance, repair and overhaul (MRO). Furthermore, the study's analysis of the LDA topic model provides valuable insights for future research on using I4.0 technologies to investigate specific areas of application in the context of digital maintenance.

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Through-Life Maintenance Cost of Digital Avionics

Cited by 9 publications

References 24 publications

Classification of Systems and Maintenance Models

Classification of Systems and Maintenance Models

Uncertainty Quantification of Imperfect Diagnostics

Maintenance in aviation enabled by Industry 4.0 technologies: exploring the current research trends using a topic modeling approach

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