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On the concept of e-maintenance: Review and current research

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TLDR
This paper outlines the basic ideas within the e-maintenance concept and then provides an overview of the current research and challenges in this emerging field.
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This article is published in Reliability Engineering & System Safety.The article was published on 2008-08-01. It has received 417 citations till now. The article focuses on the topics: Information exchange & Decision support system.

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From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence

TL;DR: In this article, the authors outline the background and overall vision for the Internet of Things (IoT) and Machine-to-Machine (M2M) communications and services, including major standards.
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Big Data in product lifecycle management

TL;DR: The existing applications of “Big Data” in PLM are summarized, and the potential applications of the concept and techniques can be employed in manufacturing to enhance the intelligence and efficiency of design, production, and service process.
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Design and management of manufacturing systems for production quality

TL;DR: In this paper, a new paradigm aiming at going beyond traditional six-sigma approaches is proposed, which is extremely relevant in technology intensive and emerging strategic manufacturing sectors, such as aeronautics, automotive, energy, medical technology, micro-manufacturing, electronics and mechatronics.
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Continuous maintenance and the future – Foundations and technological challenges

TL;DR: Foundations and technologies required for continuous maintenance within the Industry 4.0 context are presented and the role of IoT, standards and cyber security are identified.
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A dynamic predictive maintenance policy for complex multi-component systems

TL;DR: A dynamic predictive maintenance policy for multi-component systems that minimizes the long-term mean maintenance cost per unit time is presented and the results show significant cost savings.
References
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Journal ArticleDOI

A review on machinery diagnostics and prognostics implementing condition-based maintenance

TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.
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Strategic dimensions of maintenance management

TL;DR: In this article, four strategic dimensions of maintenance management are identified, namely service delivery options, organization and work structuring, maintenance methodology and support systems, and the guidelines for selection of these alternatives, key decision areas in each of the four dimensions, as well as the critical success factors for the transformation process are discussed.
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Intelligent Predictive Decision Support System for Condition-Based Maintenance

TL;DR: In this paper, an intelligent predictive decision support system (IPDSS) for condition-based maintenance (CBM) supplements the conventional CBM approach by adding the capability of intelligent conditionbased fault diagnosis and the power of predicting the trend of equipment deterioration.
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SIMAP: intelligent system for predictive maintenance application to the health condition monitoring of a windturbine gearbox

TL;DR: In this real case, SIMAP is able to optimize and to dynamically adapt a maintenance calendar for a monitored windturbine according to the real needs and operating life of it as well as other technical and economical criteria.
Journal ArticleDOI

Watchdog agent - An infotronics-based prognostics approach for product performance degradation assessment and prediction

TL;DR: Development of the Watchdog Agent™ answers the aforementioned needs through enabling multi-sensor assessment and prediction of performance of products and machines.
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