Abstract
For the efficient maintenance, an example of the visualization of remote sensing data is shown. Remote diagnosis systems of utilities come into notice to cut down the running cost, however, the difficulties of the development of the diagnosis systems are increasing according the complexity of the utilities and systems. Data mining technologies are the effective analyzing method to model the various behaviors of complex systems. We show comparative displays of the time-series data with moving average calculation, which provide the overview of the whole and the place of notice data in regard to it. We use transparency (alpha blending) attribution to express the density of data or the comparison to the average data.
