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Predictive maintenance literature review and future trends

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With the arrival of new technologies in modern smart factories, automated predictive maintenance is also related to production robotisation. Intelligent sensors make it possible to obtain an ever-increasing amount of data, which must be analysed efficiently and effectively to support increasingly complex systems' decision-making and management. The paper aims to review the current literature concerning predictive maintenance and intelligent sensors in smart factories. We focused on contemporary trends to provide an overview of future research challenges and classification.
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The Present and Future of Predictive Maintenance and Reliability: A Practitioner’s Perspective

Predictive maintenance literature review and future trends
Predictive maintenance literature review and future trends
Predictive maintenance literature review and future trends
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Maintenance Intelligent and Predictive Maintenance System Architecture | Semantic Scholar

N2 - Thermal power plants are an important asset in the current energy infrastructure, delivering ancillary services, power, and heat to their respective consumers. Faults on critical components, such as large pumping systems, can lead to material damage and opportunity losses. Pumps plays an essential role in various industries and as such clever maintenance can ensure cost reductions and high availability. Prognostics and Health Management, PHM, is the study utilizing data to estimate the current and future conditions of a system. Data-driven models can be built to estimate the remaining-useful-lifetime of complex systems that would be difficult to identify by man. With the increased attention that the Predictive Maintenance field is receiving, review papers become increasingly important to understand what research has been conducted and what challenges need to be addressed. This paper does so by initially conceptualising the PdM field.
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Predictive Maintenance: Trends in People, Processes and Technology

In the case of maintenance solution providers, this experience spans many different plants, along with a wide array of maintenance technologies. So, we set out to get one such opinion by interviewing Mr. Founded in , I-care is the market leader in Europe in asset health management solutions. The company has already deployed over maintenance and reliability projects for clients in Europe and North America.
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Predictive maintenance as an emerging market, because the maintenance strategy shifts from the so-called after-the-fact control method to solve problems by analyzing and enabling predictive maintenance, undoubtedly shows us a market with potential for development. In this market, IoT platform vendors, low-cost secure cloud storage vendors, and analytics providers that provide dynamic data models play a vital role and play an increasingly important role. The commonly used application levels of predictive and preventive maintenance include condition monitoring hardware, industrial automation hardware, communication connections, storage and platforms, and data analysis. Preventive maintenance and predictive maintenance are important maintenance measures to be considered when implementing total productive maintenance TPM.
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