Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance

Larrinaga, Félix; Fernández, José Martínez; Zugasti, Ekhi; Garitano, Iñaki; Zurutuza, Urko; Anasagasti, Mikel; Mondragon, Mikel

doi:10.1109/codit.2018.8394825

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…The CPS architecture implemented in maintenance is defined as another research problem investigated in the reviewed literature. The main aspects regard: the implementation of a reference architecture for cyber–physical systems (CPS) to support the condition-based maintenance (CBM) of industrial assets [ 288 ], the designing of industrial control system architecture for large-scale industrial and infrastructure construction projects [ 289 ], self-aware machines development and support [ 290 , 291 ], predictive maintenance system architecture [ 292 , 293 ], manufacturing process scheduling and control [ 294 ], an industrial event-driven architecture implementation [ 295 ], and key performance indicators for CPS development [ 296 ].…”

Section: Systematic Literature Review Of the Selected Papers Within T...mentioning

confidence: 99%

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Werbińska-Wojciechowska

Winiarska

2023

Sensors

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Recently, there has been a growing interest in issues related to maintenance performance management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies indicate a lack of research on the systematic literature reviews and surveys of studies that would focus on the evolution of Industry 4.0 technologies used in the maintenance area in a cross-sectional manner. Therefore, the paper reviews the existing literature to present an up-to-date and content-relevant analysis in this field. The proposed methodology includes bibliometric performance analysis and a review of the systematic literature. First, the general bibliometric analysis was conducted based on the literature in Scopus and Web of Science databases. Later, the systematic search was performed using the Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria included the publication dates (studies published from 2012–2022), studies published in English, and studies found in the selected databases. In addition, the authors focused on research work within the scope of the Maintenance 4.0 study. Therefore, papers within the following research fields were selected: (a) augmented reality, (b) virtual reality, (c) system architecture, (d) data-driven decision, (e) Operator 4.0, and (f) cybersecurity. This resulted in the selection of the 214 most relevant papers in the investigated area. Finally, the selected articles in this review were categorized into five groups: (1) Data-driven decision-making in Maintenance 4.0, (2) Operator 4.0, (3) Virtual and Augmented reality in maintenance, 4) Maintenance system architecture, and 5) Cybersecurity in maintenance. The obtained results have led the authors to specify the main research problems and trends related to the analyzed area and to identify the main research gaps for future investigation from academic and engineering perspectives.

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Section: Systematic Literature Review Of the Selected Papers Within T...mentioning

confidence: 99%

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Werbińska-Wojciechowska

Winiarska

2023

Sensors

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“…(3) predictive maintenance is focused on preventing unscheduled downtimes and premature damage on the equipment. Usually, it is considered another maintenance strategy called proactive maintenance (4), which works correcting the root causes of failures in order to extend the lifetime of the machine.…”

Section: Maintenancementioning

confidence: 99%

“…In a paper published by C Hegedus et al, 3 the MANTIS framework was proposed. F Larrinaga et al 4 implemented the architecture in a real case. Also, in MANTIS the results of other use cases were analysed.…”

Section: Introductionmentioning

confidence: 99%

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A Big Data implementation of the MANTIS reference architecture for predictive maintenance

Larrinaga

Fernandez-Anakabe

Zugasti

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article presents the implementation of a reference architecture for cyber-physical systems to support condition-based maintenance of industrial assets. It also focuses on describing the data analysis approach to manage predictive maintenance of clutch-brake assets fleet over the previously defined MANTIS reference architecture. Proposals for both the architecture and data analysis implementation support working on Big Data scenarios, due to the usage of related technologies, such as Hadoop Distributed File System, Kafka or Apache Spark. The techniques are (1) root cause analysis powered by attribute-oriented induction clustering and (2) remaining useful life powered by time series forecasting. The work has been conducted in a real use case within the H2020 European project MANTIS.

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“…Objective: This use case (Larrinaga et al 2018) is concerned with analysing a clutch brake system and its components in press machines to detect the most important failure sources and be able to perform predictive maintenance in those press machines. The overall objective is to early detect internal wear of a clutch-brake.…”

Section: Use Case Example Proactive Maintenance Of Clutch Brake For Pmentioning

confidence: 99%

A framework for maintenance 4.0

Jantunen¹,

Orio

Larrinaga

et al. 2018

Proceedings of the 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability

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The rapid development of new low-cost sensors of reasonable processing power have led to the introduction of Cyber-Physical Systems (CPS) to support maintenance, which in turn together with a scalable, two level data processing architecture has taken maintenance as such to a new level i.e. Maintenance 4.0. The potential of CPS to support maintenance is explained, and it is related to the requirements set upon the sensors, such as robustness, communication capabilities, intelligence, small size, etc. A new framework and architecture with support for Health management, Prognostics and Collaborative decision-making functionalities that takes the full advantage of the above introduced new technologies is described both theoretically and in the light of some industrial use case examples. A comparative between the approaches implemented in the use cases brings light into the maintenance possibilities to address in such a framework.

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Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance

Cited by 4 publications

References 4 publications

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

A Big Data implementation of the MANTIS reference architecture for predictive maintenance

A framework for maintenance 4.0

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