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In recent power grid systems, data-driven approach has been taken to grid condition evaluation and classification after successful adoption of big data techniques in internet applications. However, the raw training data from single monitoring system, e.g. dissolved gas analysis (DGA), are rarely sufficient for training in the form of valid instances and the data quality can rarely meet the requirement...
Big data techniques has been applied to power grid for the evaluation and prediction of grid conditions. However, the raw data quality rarely can meet the requirement of precise data analytics since raw data set usually contains samples with missing data to which the common data mining models are sensitive. Though classic interpolation or neural network methods can been used to fill the gaps of missing...
Accurate boom location of drilling Jumbo at the driving place is a key link to improving drill blast effects. In the past, a manually-operated locating device was used, resulting in low location efficiency and difficulty ensuring accuracy. Recently wide use of an automatically-controlled locating method, therefore, has been made. In this method, the right angle coordinate system of blasthole location...
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