Remote Monitoring and Early Warning System of Intelligent Fault Alarm in Instrumentation with Extreme Machine Learning

Remote monitoring and early warning system of intelligent fault alarm in instrumentation with extreme machine learning is studied in the paper. The most notable feature of the application of intelligent instrumentation technology is the versatility of the functions. Although the volume of smart instrumentation is smaller than that of general traditional instrumentation, it has many functions, even more than before. Hence, the efficient analysis will be essential for the analysis. Traditional intelligent instruments mainly use computer technology in the measurement process, while virtual instruments absorb instrument technology on the basis of new technology, and take the software system as the key of virtual instrument. It has the characteristics of visibility, versatility, scalability and so on, and can bring great convenience to users. Hence, this paper studies the and early warning system of intelligent fault alarm in instrumentation with extreme machine learning. The novel models are designed for the efficient analysis.