Legacy Machine Monitoring Using Power Signal Analysis

Deshpande, Amit; Pieper, Ron

doi:10.1115/msec2011-50019

Cited by 11 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Legacy systems can be characterized as an organizational environment resisting modifications because it is business-critical. Conversely, they cannot provide data by a third-party application (Auvray, 2018;Johnson & Suhaib, 2009;Pieper, 2011). This leads to the lack of interoperability with I4.0 systems.…”

Section: Legacy Systemsmentioning

confidence: 99%

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Venâncio

Brezinski

Leal³

et al. 2023

Prod.

View full text Add to dashboard Cite

Paper aims: The Industry 4.0 movement highlights the importance of information and communication technologies and the two main reasons for this are advances in digitalization and automation. However, organizations trying to implement technologies face several barriers in their systems. These barriers are intensified in legacy systems, tightly coupled to organizational processes. Thus, to overcome these barriers, an adequacy strategy was structured, and detailed in the context of interoperability.Originality: This article proposes a digital transformation framework focused on interoperability in maintenance systems.Research method: Aiming to make legacy systems work together with cyber-physical systems, the proposed framework suggests its suitability based on strategic decisions, using Multicriteria Decision Making (MCDM) methods. Main findings:The framework outputs demonstrate that people are the main drivers of digital transformation and that the strategies proposed by it are coherent with the actual development of both cases, proven in a new interview one year apart from its application.Implications for theory and practice: Real industrial cases demonstrate that the framework can guarantee interoperability while facilitating strategic decisions to implement technologies in legacy maintenance systems. In the end, the legacy system, which will interoperate with the new technologies, is called Smart Legacy System.

show abstract

Section: Legacy Systemsmentioning

confidence: 99%

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Venâncio

Brezinski

Leal³

et al. 2023

Prod.

View full text Add to dashboard Cite

show abstract

“…Hence, the transformation of the machine status or operation is critical. To realise this, Deshpande and Pieper [10] analysed the features related to machinery power signals under various operating conditions. In this way, one can monitor the real-time machine status, energy usage, and other specific machining parameters of a legacy machine, including the potential to detect tool changes or provide part counts.…”

Section: Legacy Machinesmentioning

confidence: 99%

The implementation of Industry 4.0 in manufacturing: from lean manufacturing to product design

Huang

Jowers

Kent

et al. 2022

Int J Adv Manuf Technol

View full text Add to dashboard Cite

With the emergence of Industry 4.0, digitalization and intelligent manufacturing are vital to ensure competitivity, especially for manufacturers reliant on legacy machines. Upgrading legacy machines with cyber physical technology under Industry 4.0 frameworks can enable connection of these machines to existing IoT networks to allow the sharing and exchange of production information. In this paper, a legacy machine used in sheet metal folding operations is upgraded by integrating switch sensors which provide detailed data on the machine status to stakeholders, enabling in-depth analysis of the production activity before and after the implementation of lean manufacturing methods. Furthermore, it is shown that the data collected can be applied to conduct dynamic value stream mapping (DVSM) in near real time to provide deeper level insight into manufacturing processes. More detailed mapping enables identification of wastes involved with labour and design. Therefore, an innovative graphical technique is proposed to improve the flattened pattern to reduce manual handling and ease bottlenecks identified by VSM. From the collected VSM data, a leanness measure was established to provide objective and quantitative evaluation of the process performance.

show abstract

“…The work by [31] looks at direct control where the power signal is used to identify when a change of tool should take place. Power signals can give different facets of information, where a drop in peak energy at a particular time interval can signify tool breakage and at the same time give information as to the location of the tool malfunction.…”

Section: Wear and Deviation Measurements Using Aementioning

confidence: 99%

Control of deviations and prediction of surface roughness from micro machining of THz waveguides using acoustic emission signals

Griffin

Díaz

Geerling

et al. 2017

Mechanical Systems and Signal Processing

View full text Add to dashboard Cite

Publisher: Elsevier NOTICE as accepted for publication in Mechanical Systems and Signal Processing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Mechanical Systems and Signal Processing, [85, (2017)]

show abstract

Legacy Machine Monitoring Using Power Signal Analysis

Cited by 11 publications

References 0 publications

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

The implementation of Industry 4.0 in manufacturing: from lean manufacturing to product design

Control of deviations and prediction of surface roughness from micro machining of THz waveguides using acoustic emission signals

Contact Info

Product

Resources

About