NASA research application can predict the life of machinery

NASA has just revealed that a New York lab has created software that can tell us as long as a system stops working. Sentient Science engineers hope they will learn more about machine design issues to find ways to extend their life and increase their efficiency.

The company's research is based on a collaboration with NASA's Ames Research Center through the support of Small Business Innovation Research (SBIR). The company set a goal to find out information about the lifespan of materials used to make machines. To accomplish this, scientists have created a software that they believe will help us discover when a machine is no longer working.

This technology will cut costs and improve the performance of machinery systems.

This software name is called DigitalClone and the first tests of the project started in 2010.

Data were checked over 25 years from a stimulus device used to train flight of NASA's Glenn Research Center. After being loaded with data (with 2 identical digital data from similar devices), DigitalClone will analyze the effects of wearing the device, tears and the changing status over time. use of materials.

Chairman and CEO of Sentient Science - Mr. Ward Thomas - said the assessment results in two times achieved the same accuracy. When seeing this result, he spent the whole time researching to bring DigitalClone into real life.
11 similar tests were conducted on products of General Electric and Boeing. Thanks to the results, the research has gone a step further. They successfully developed DigitalClone Live version capable of giving predictions from the analysis of live data.

The first version of this software was sold in 2013. DigitalClone was so successful that eight North American companies used it to evaluate the performance of more than 5,000 wind turbines by the end of 2014. Even, the part The software is also installed on the Hubble Space Telescope and many military vehicles of the same time.

DigitalClone Live version is able to make predictions from the analysis of live data.

Thomas said the technology will cut costs and improve the performance of machinery systems. According to experts, DigitalClone Live has helped the production of wind energy decreased from 11 cents per kilowatt hour to 3.5 cents.

The software has not yet been commercialized, but the team at Sentient Science said it expects to market it between 2016 and 2017. Any progress from this interesting study is also will be updated information on NASA homepage.