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Accurate anomaly diagnosis is essential for reducing operation and maintenance (O&M) cost, while improving safety and reliability of large-scale photovoltaic (PV) systems. Although many methods have been proposed, they either require extra sensing devices or suffer from high false alarm rates. In this work, we present a cost-effective hierarchical context-aware method for string-level anomaly...
The reliability and safety of industrial machines depends on their timely maintenance. The integration of Cyber Physical Systems within the maintenance process enables both continuous machine monitoring and the application of advanced techniques for predictive and proactive machine maintenance. The building blocks for this revolution — embedded sensors, efficient preprocessing capabilities, ubiquitous...
The design of a new heavy duty gas turbine may imply the exploitation of well proven, as well as, of new sensing technologies and approaches. Nevertheless a key driving point in bringing on the market some innovation resides in the opportunity to implement a flexible sensing system able to optimize the existing compromise among performance, safety, reliability, availability and maintenance (RAMS)...
For the mechanical parts of helicopter easily damaged and often inducing accident, the key system to ensure flight safety of helicopter and achieve the on-condition maintenance is HUMS. In the paper the key technologies of HUMS are researched including position optimizing of the sensors, flight safety monitoring and diagnosing technology, the method of setting threshold, and it is dissertated in detail...
In view of the shortcomings of the monitoring system for State of Bridge depended on the public mobile telecommunication network, which includes the impossibility to carry out the monitoring for a long term or real time, the call for a new method based on IOT has been responded in this paper. This method is concentrated by the cloud computing, modern data communication and industry process data sensor...
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