CLOUD COMPUTING IN THE WORLD OF MACHINE FAILURE PREVENTION

摘要

Machine failure prevention is built on the effective storage and analysis of data. The more data and analysis that can be performed, the higher the confidence value of the diagnosis or prognosis of the machine. As demand for data storage and computing horsepower increase, we find ourselves increasingly at the mercy of performing more and more data management and with less and less time to perform actual machine diagnostics. Through the use of cloud computing, much of this data management can be outsourced, without having to rely on the politics or red tape associated with creating new IT infrastructure internally.This paper will discuss the architectures and advantages of cloud computing in a machine diagnostics setting including scalable remote data storage and processing power. Caveats and recommended best practices will also be covered including the options available for use by engineers and researchers today.