An integrated approach for electromagnetic compatible commercial aircraft engine cable harnessing

Wang, Bowen; Ying, Zhang; Su, G.H.

doi:10.1016/j.jii.2022.100344

Cited by 5 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The emergence of the Internet has changed the traditional methods of communication, information retrieval and information delivery (Guo et al, 2022; Kim et al, 2022; Li et al, 2008; Lu, 2019; Lu & Ning, 2020; Mellado & Núñez, 2022; Pradhan & Chawla, 2020; Tan et al, 2010; Viriyasitavat et al, 2019; Wang et al, 2022; Xu, 2011; Xu & Viriyasitavat, 2019). Consumers are increasingly using various network platforms to share and exchange information about products and services, and E‐Wom has emerged as the times require.…”

Section: Literature Reviewmentioning

confidence: 99%

The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception

et al. 2022

View full text Add to dashboard Cite

Artificial intelligence (AI) technology is playing an increasingly important role in achieving precision marketing. AI word‐of‐mouth system marketing focuses most on the entry point of consumers—the key information that leads consumers to buy. Based on consumer behaviour theory and information communication theory, this study constructs a research model of the influence of positive and negative online word of mouth on consumer purchase behaviour from the AI word‐of‐mouth system's four dimensions: professional degree, information quality, information quantity and information intensity. The results show that in the analysis of perceived risk, whether for positive or negative online word of mouth, consumers pay more attention to the number of information features than information quality and information intensity. In the purchase behaviour analysis, consumers are most concerned about information quality and information intensity. Perceived risk plays a mediating role in the influence of AI word of mouth on purchasing behaviour.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Currently, there is a lack of comprehensive research on the challenges and reliability issues faced by motion cables in actual operation. Therefore, it is crucial to systematically unveil the performance characteristics of motion cables in engine sensors [ 2 ]. Reliability is defined as the ability of a product to fulfill a task under specified conditions and within a specified time.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Properties and Fatigue Life Analysis of Motion Cables in Sensors under Cyclic Loading

Liang,

Guan,

Ding

et al. 2024

Sensors

View full text Add to dashboard Cite

Motion cables, which are widely used in aero-engine sensors, are critical components that determine sensor stability. Because motion cables have unique motion characteristics, the study of their mechanical properties and reliability is very important. In addition, motion cables are complex in structure and cannot be applied to conventional fixed cable research methods. In this study, a new approach is proposed to introduce the theory of anisotropic composites into a simplified cable model, so that the cable is both physically conditioned and has good mechanical properties. While applying the theory of anisotropic composites, the forces of tension and torsion are considered in a motion cable under the combined action. In this context, the reliability of the structure is the fatigue life of the cable. In this paper, the mechanical properties and fatigue life of motion cables are investigated using the finite element method at different inclination angles and fixation points. The simulation results show that there is a positive correlation between the inclination angle and the extreme stress in the motion cables, and the optimal inclination angle of 0° is determined. The number of fixing points should be reduced to minimize the additional moments generated during the movement and to ensure proper movement of the cables. The optimal configuration is a 0° inclination angle and two fixing points. Subsequently, the fatigue life under these optimal conditions is analyzed. The results show that the high-stress zone corresponds to the location of the short-fatigue life, which is the middle of the motion cables. Therefore, minimizing the inclination angle and the number of fixing points of the motion cables may increase their fatigue life and thus provide recommendations for optimizing their reliability.

show abstract

A Model-Based Systems Engineering Approach for Developing Commercial Aircraft Engines Immune to Lightning Transients

Wang¹,

Zhang²,

Peng³

et al. 2023

2023 9th International Conference on Electrical Engineering, Control and Robotics (EECR)

View full text Add to dashboard Cite

An integrated approach for electromagnetic compatible commercial aircraft engine cable harnessing

Cited by 5 publications

References 23 publications

The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception

The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception

Mechanical Properties and Fatigue Life Analysis of Motion Cables in Sensors under Cyclic Loading

A Model-Based Systems Engineering Approach for Developing Commercial Aircraft Engines Immune to Lightning Transients

Contact Info

Product

Resources

About