Continuous maintenance and the future – Foundations and technological challenges
Непрерывное техническое обслуживание и будущее: основы и технологические вызовы
2016-01-01
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Industry 4.0Internet of Thingscontinuous maintenancedegradation modellinglife cycle big data analytics
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Abstract (AI)
High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle ‘big data’ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security.
Key Findings
1
Advanced computing and visualization technologies can improve maintenance efficiency and reduce product through-life costs.
2
Continuous maintenance depends primarily on degradation science, assessment and modelling at component and system levels.
3
High-value, long-life products require continuous maintenance across their life cycles to sustain performance at optimal through-life cost.
4
Industry 4.0-oriented continuous maintenance requires integrating the Internet of Things, standards and cybersecurity.
5
Life-cycle big-data analytics constitute a second essential knowledge and skills base for delivering continuous maintenance services.
Research Object
Continuous maintenance of high-value, long-life products throughout their life cycle
Research Subject
Foundations, degradation assessment and modelling, life-cycle big-data analytics, and Industry 4.0 technologies for improving maintenance efficiency, performance, and through-life cost
Publication Details
Publication Date
2016-01-01
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