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Latvia-Based Startup Seeks to Revolutionize Condition Monitoring

  • Advanced Vector Analytics vibration sensor can replace the need for multiple sensors on a turbine engine.
    Advanced Vector Analytics vibration sensor can replace the need for multiple sensors on a turbine engine.

July 25, 2015 - While leading aerospace companies spend millions of dollars attempting to find the best possible alternative to the inefficient time-based maintenance, Advanced Vector Analytics (AVA), a Latvia-based startup, has brought an innovative solution to AirVenture, thus solving the biggest contradiction of condition monitoring: the too-high price.

Advanced Vector Analytics is a participant in the AeroInnovate business accelerator program, part of the University of Wisconsin Oshkosh.

The time-based approach to aircraft maintenance, a recognized industry standard, is very inefficient due to the initially unidentified percentage of healthy parts being replaced during the scheduled maintenance. The percentage of loss of healthy parts may be as high as 80 percent. Huge spending on unnecessary replacement accompanied by high labor costs push companies to look for new ways of how to detect the condition of a particular component.

It is generally agreed that condition monitoring is going to be the next evolutionary step in maintenance. However, the cost, caused by the necessity of too many sensors, coupled with ambiguous data interpretation, limit the use of condition monitoring systems. One of the reasons is that their cost/benefit ratio is not always higher than the one of the old-style scheduled approach.

The AVA solution resolves the issue by introducing the concept of structural immunity monitoring. It is the system that monitors the ability of components to resist stress, like the human immune system constantly resists viral infections.

Technically, the structural ‘immunity’ is addressed as strength, and when degraded strength is observed, it means the fault time is approaching. The benefit for the industry: the number of the sensors needed is much less than the standard one and what the professionals might expect.

“To acquire and analyze the data, we use proprietary sensing and low-level wave-field analysis that allow us to provide better results with much fewer sensors and perform condition monitoring in flight,” says Edgar Grant, co-founder and company CEO. “We have successfully tested this technology for different applications, such as early crack detection, rotor dynamic balancing, curing of composite, structural fault location, and even jet engine flutter analysis.

“For example, the latter test required only two of our sensors instead of the standard 168. Now we are in the position to run demonstrations for our potential customers and discuss pre-orders or co-creation.”

Advanced Vector Analytics is located at Booth 15 in the Innovation Center, or visit www.AVA-Labs.com.