Prognostic methods enable operators and maintainers to predict the future performance for critical systems. However, these methods can be computationally expensive and may need to be performed each time new information about the system becomes available. In light of these computational requirements, we have investigated the application of graphics processing units (GPUs) as a computational platform for real-time prognostics. Recent advances in GPU technology have reduced cost and increased the computational capability of these highly parallel processing units, making them more attractive for the deployment of prognostic software. We present a survey of model-based prognostic algorithms with considerations for leveraging the parallel architecture of the GPU and a case study of GPU-accelerated battery prognostics with computational performance results.
Automated storage and retrieval warehouse systems (ASRS) have been implemented in industrial for few decades. This kind of combination of project has become common in current industry field. Refer to Pa. Pittsburgh, the enhancement of ASRS has helped to improve optimal stock capacity in limited space and minimize process flow time. The purpose of this project is to design a hardware prototype that can fulfill the concept of ASRS and can be implemented at electronic components store that requires store management. This is to improve the process in stock checking and also store or retrieve item. Furthermore, there have several major parts that can be considered to use this hardware such as method of store and retrieve, storage structure, movement of the machine and machine travelling system. The timing belt system is implemented on this hardware for performing linear X-Y-Z motions. Besides, the concept of pallets supported rack had been implemented in storage structure design. Last but not least, the concept of an automated guided machine travels to the desired location on rack is selected as a store and retrieve method for this hardware.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.