Boeing provides airline operators with an airplane health management service. Vast
amounts of data are analysed to provide transformational insights into fleet health and
operational status.
It is core to Boeing’s digital solutions and analytics strategy, says Bala Bharadvaj, MD at Boeing India Engineering & Technology Centre (BIETC). "Research work at BIETC in Bengaluru has made important contributions to this technology," he says. The system uses data analytics to predict when aeroplanes require maintenance.
There are thousands of parts in a plane and some of them require regular maintenance. Traditionally, after a certain amount of hours, a part is replaced. But it’s likely that the part could have survived longer. “So how do you figure out if a part is still good or not? The technology we use takes measurements and predicts how many more hours the part can be used for. So now airlines can make predictions beforehand and be ready with a spare part, thus avoiding valuable downtime," says Bharadvaj. BIETC developed the methodology to use data analytics for this platform.
"This technology isn't new, we've been using data analytics for a while. But what has changed now is the amount of data available. We've had to develop more complex methods to parse through the mountain of data generated by planes. Speed is another factor, the expectation is for real-time information that can be acted on quickly, which wasn't possible before," Bharadvaj says.
The Boeing India research team is the second largest in the world after that in the US. Bharadvaj says that’s because the company here has been able to get motivated people and have been able to train them effectively. "We hire a large number of people with PhDs in a wide variety of fields – aerodynamics, data analytics, chemistry, material science, and others," he says.
13/01/20 Gadgets Now
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It is core to Boeing’s digital solutions and analytics strategy, says Bala Bharadvaj, MD at Boeing India Engineering & Technology Centre (BIETC). "Research work at BIETC in Bengaluru has made important contributions to this technology," he says. The system uses data analytics to predict when aeroplanes require maintenance.
There are thousands of parts in a plane and some of them require regular maintenance. Traditionally, after a certain amount of hours, a part is replaced. But it’s likely that the part could have survived longer. “So how do you figure out if a part is still good or not? The technology we use takes measurements and predicts how many more hours the part can be used for. So now airlines can make predictions beforehand and be ready with a spare part, thus avoiding valuable downtime," says Bharadvaj. BIETC developed the methodology to use data analytics for this platform.
"This technology isn't new, we've been using data analytics for a while. But what has changed now is the amount of data available. We've had to develop more complex methods to parse through the mountain of data generated by planes. Speed is another factor, the expectation is for real-time information that can be acted on quickly, which wasn't possible before," Bharadvaj says.
The Boeing India research team is the second largest in the world after that in the US. Bharadvaj says that’s because the company here has been able to get motivated people and have been able to train them effectively. "We hire a large number of people with PhDs in a wide variety of fields – aerodynamics, data analytics, chemistry, material science, and others," he says.
13/01/20 Gadgets Now
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