Systems Engineering and Its Application to Industrial Product Development

Brusa, Eugenio; Calà, Ambra; Ferretto, Davide

doi:10.1007/978-3-319-71837-8

Cited by 34 publications

(12 citation statements)

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“…e OEMD technique is here applied to a specific industrial case, to define the main needs of the monitoring system, and to check its effectiveness while testing. e experimental evidences confirm the effectiveness of the proposed approach, especially when results are compared with those of the envelope method, for a preliminary trade-off analysis of the in-monitoring system layout, as is done in the Model Based Systems Engineering [47]. Fulfilling requirements of the Industry 4.0 initiative, by introducing a bearing condition monitoring system in a simple and effective way is mandatory.…”

Section: Introductionmentioning

confidence: 58%

Bearing Health Monitoring Based on the Orthogonal Empirical Mode Decomposition

Delprete

Brusa

Rosso

et al. 2020

Shock and Vibration

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Bearing is a crucial component of industrial equipment, since any fault occurring in this system usually affects the functionality of the whole machine. To manage this problem, some currently available technologies enable the remote prognosis and diagnosis of bearings, before that faults compromise the system function and safety, respectively. A system for the in-service monitoring of bearing, to detect any inner fault or damage of components and material, allows preventing undesired machine stops. Moreover, it even helps in performing an out-monitoring action, aimed at revealing any anomalous behaviour of the system hosting bearings, through their dynamic response. The in-monitoring can be based on the vibration signal measurement and exploited to detect the presence of defects in material. In this paper, the orthogonal empirical mode decomposition is analysed and tested to investigate how it could be effectively exploited in a lean in-service monitoring operation and remote diagnosis. The proposed approach is validated on a test rig, where an elementary power transmission line was set up. The activity highlights some main properties and practical issues of the technological implementation, as well as the precision of the Orthogonal Empirical Mode Decomposition, as a compact approach for an effective detection of bearing faults in operation.

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Section: Introductionmentioning

confidence: 58%

Bearing Health Monitoring Based on the Orthogonal Empirical Mode Decomposition

Delprete

Brusa

Rosso

et al. 2020

Shock and Vibration

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“…Here is where confusion arises, since theoretical definitions often clash with practical needs, many times dealing also with limitations of tools and software. 21 Typical mistakes consist in modifying the actual methodology to adapt to the tools, usually also because of budget and time constraints which do not allow for on course modifications, while the fair approach should be the other way around. This is also the reason why, together with main standards mentioned before, architectural framework, 15 especially within military domains, has been developed to provide comprehensive guidance and an effective commitment, granting the consequent successful development of tailored products.…”

Section: Most Relevant Model-based Design Methodologies Showing Evide...mentioning

confidence: 99%

Towards a formalized model-based process for the design of high-speed aircraft and related subsystems

Ferretto

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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Increasing complexity associated to advanced aircraft concepts for high-speed flight is pushing the limit of engineering practices concerning design phases of products lifecycle. Specific methodologies aimed at managing requirements over the entire vehicle architecture definition shall then be properly formalized and supported by means of standardized processes and languages in order to be effective. The approaches suggested by the Systems Engineering practices, especially when considering the model-based environments as main tools for systems design, can be exploited to face these challenges, if properly tailored to suit the specific engineering field considered. This paper aims at proposing a model-based process for the design of high-speed aircraft exploiting a formalized methodology and the typical tools of Systems Engineering. A conceptual design exercise, based on the STRATOFLY MR3 hypersonic cruiser case study, is performed from high-level stakeholder objectives to vehicle performance estimations, passing through functional and interface analyses. Additionally, some insights concerning on-board subsystems sizing activities are provided in terms of integration within the high-level design process. The whole work highlights the capability of performing a seamless requirements management and development within the design procedure, particularly focussing on the relationships among the different stages of the workflow.

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“…A flexible solution to overcome the high demand in scalability and product specificity is to gradually converge to a plug and produce system of production with generic device or machine configuration and adapters [37,38]. The Digital Twin could then be easily adapted and used for the custom simulation of products [39,40].…”

Section: Where Can We Use These Tools?mentioning

confidence: 99%

The 5W’s for Control as Part of Industry 4.0: Why, What, Where, Who, and When—A PID and MPC Control Perspective

Maxim

Copot

et al. 2019

Inventions

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The advent of Industry 4.0(I4.0) has pushed technology beyond its physical limits, making the process prone to errors and poorer performance. Whether it is about smart manufacturing where mass customization is envisaged, or collaborative human–robot engineering systems, the pyramid of process operation has changed to a matrix form and control is the backbone of all process elements. The paper gives a concise guideline as to how, when, where, and what to apply when it comes to choosing the most suitable control strategy as a function of multi-parameter objective optimization. Both proportional-integral-derivative (PID) and model predictive control (MPC) control are addressed in this context.

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Systems Engineering and Its Application to Industrial Product Development

Cited by 34 publications

References 0 publications

Bearing Health Monitoring Based on the Orthogonal Empirical Mode Decomposition

Bearing Health Monitoring Based on the Orthogonal Empirical Mode Decomposition

Towards a formalized model-based process for the design of high-speed aircraft and related subsystems

The 5W’s for Control as Part of Industry 4.0: Why, What, Where, Who, and When—A PID and MPC Control Perspective

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